Organizational Commitment

ORGANIZATIONAL COMMITMENT AND JOB SATISFACTION: A STUDY OF EMPLOYEES IN THE INFORMATION TECHNOLOGY INDUSTRY IN BANGALORE, INDIA

Submitted in partial fulfilment of the requirement for the degree of

Master of Philosophy By

Jasmine Sonia (Roll No.0930008) Supervisor T.BHAMA Lecturer-Department of Management studies

2010

DECLARATION I Jasmine Sonia hereby declare that the dissertation, entitled “Organizational commitment and Job satisfaction: A study of employees in the Information Technology Industry in Bangalore, India” submitted to Christ University, in partial fulfilment of the requirements for the award of the Degree of Master of Philosophy in Management is a record of original and independent research work done by me during the academic year 2009-2010 under the supervision and guidance of Ms. T. Bhama, Department of Management studies , Christ University ,and it has not formed the basis for the award of any Degree/Diploma/Associate ship/Fellowship or other similar title to any candidate of any University.

Date:

Signature of the candidate

CERTIFICATE This is to certify that the dissertation, entitled “Organizational commitment and Job satisfaction: A study of employees in the Information Technology Industry in Bangalore, India” submitted to Christ University, in partial fulfilment of the requirements for the award of the Degree of Master of Philosophy in Management is a record of original research work done by Ms. Jasmine Sonia During the period 2009-2010 of her study in the Department of Management studies at Christ University, Bangalore, under my supervision and guidance and the dissertation has not formed the basis for the award of any Degree/Diploma/Associate ship/Fellowship or other similar title to any candidate of any University .

Date:

Signature of the Guide T.Bhama (Lecturer) Department of Management Studies, Christ University

APPROVAL OF DISSERTATION The dissertation entitled “Organizational commitment and Job satisfaction: A study of employees in the Information Technology Industry in Bangalore by Jasmine Sonia is approved for the degree of Master of Philosophy in Management.

Examiners: 1. _____________________________

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3.______________________________

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Chairman: ______________________________

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ACKNOWLEDGEMENT I express my sincere gratitude to the management of Christ University for giving me an opportunity to complete Master of Philosophy in Management. I am greatly indebted to Fr. Thomas T .V. (Director, Institute of Management) for his guidance and who always remained as a source of inspiration. I remember the efforts taken by the Research centre of the Christ University for establishing a universal research culture and motivating the research scholar to accomplish this study. I am greatly thankful to my guide Ms. T. Bhama (Lecturer, Department of Management studies) for her constant guidance, support, patience and encouragement to complete this work on time. I extend my profound gratitude to Prof. Harold Andrew Patrick (Professor and coordinator OB and HRM) for giving me all the necessary guidance and suggestion. I would like to thank Dr. Mihir Dash for helping me in data analysis and for giving all the necessary suggestion for the interpretation of data. I remember with gratitude all the IT employees who have shown interest in filling my questionnaire, without which the research work could not have materialized. I would like to thank my family, colleagues, and friends for all their love and encouragement in all stages of my dissertation work. Lastly, I thank God for making me who I am and giving me all blessings to complete this journey.

JASMINE SONIA

ABSTRACT The integral part of any management process is to manage the people at work. A well managed organisation sees worker as the root cause of quality and productivity .An effective organisation will always promote a sense of commitment and satisfaction among its employees. The significance and importance of the concept of organizational commitment in terms of leading to beneficial organizational and desirable outcomes such as increased productivity, reducing absenteeism and turnover, has been documented by many studies such as those of Steers (1977); Porter et al. (1974); Reiches (1985) and Tett and Meyer (1993). One way to address issue of employee turnover is to understand the job satisfaction and commitment level of employees. Organizations often try to foster commitment in their employees to achieve stability and reduce costly turnover. It is commonly believed that committed employees will also work harder and be more likely to “go the extra mile” to achieve organizational objectives. Research has consistently demonstrated that commitment does indeed contribute to a reduction in turnover. Motivated employees are needed in our rapidly changing workplaces. Motivated employees help organizations survive. Motivated employees are more productive. To be effective, managers need to understand what motivates employees within the context of the roles they perform. A lot of studies are conducted separately on commitment, satisfaction and motivation but very few studies are there on IT sector linking these three .So it is crucial to conduct a study on job satisfaction and organizational commitment in information technology industry and also to identify the important motivating factors to retain the highly talented workforce. The review of related literature on Organizational commitment, Job satisfaction and Motivation has helped the researcher to identify the gap and has provided an insight to the direction of current study. The population for the study was all technical employees in the Information technology Industry in Bangalore city. For the present study data was collected with the help of structured questionnaire from 300 employees working in software industry. The study is concentrated on Bangalore IT industry. The researcher used non probabilistic sampling (purposive sampling) method as sampling design. Samples were selected from 10 top IT multinational companies. Samples were

drawn from three levels of management

including entry level, middle level and top level employees. The pertinent information for the study is collected from both primary and secondary sources.

The independent variable in this study is job satisfaction. The overall Job satisfaction was measured using the 15-item questionnaire developed by Prof.Harold Andrew Patrick in 2009, designed to measure 15 aspects of job. The aspects of overall job satisfaction are job security,interest,opportunity for advancement,appreciation,company policy and management practises, intrinsic aspects of a job,salary,supervision,social aspects of job, working conditions,communication,hours,ease, benefits ,and fair treatment. Responses were collected with the help of 7 point likert scale.

The dependant variable, organizational commitment was measured using the revised Organizational Commitment Scales (Meyer, Allen and Smith 1993) that is, the Affective Commitment Scale (ACS), the Continuance Commitment Scale (CCS) and the Normative Commitment Scale (NCS) with 24 questions on 7-point Likert scales. The Kovach ten jobrelated factors developed by kovach , Kenneth (1999) were used to determine what motivates the employees in software industry. The respondents were asked to indicate the degree of importance of the factors and relative ranking according to motivational importance. The statistical technique used to analyse the data were descriptive statistics, The Pearson’s correlation, ANOVA, Regression and Friedman test. Data was analysed with the help of SPSS. The major findings of the study were: 1. The level of organizational commitment was moderate, with relatively higher variability in affective commitment. Mean value was highest for Continuance commitment indicating employees are staying back with the organization because of the cost of leaving the organisation or it’s too much trouble to go somewhere else. 2. IT employees were showing only a moderate level of job satisfaction. Amongst the items comprising the scale for job satisfaction, the items with highest satisfaction levels were related to the social aspects of the job, working conditions (excluding working hours), interest (from intrinsic aspects of the job), job security, communication, and ease of the job (as an intrinsic aspect of the job). On the other hand, employees had lowest satisfaction levels for working hours, supervision, appreciation from management, and salary. It shows that IT employees are dissatisfied with the working hours, supervision, appreciation from management and the salary they are getting.

3. To increase the Job satisfaction and commitment it is very important to identify the motivational factors. . The most important motivational factors for IT employees were good wages, promotion/growth, job security, interesting work, and appreciation of work. 4. There was significant positive correlation of job satisfaction with affective commitment and normative commitment, and negative correlation with continuance commitment. This indicates that higher the level of job satisfaction greater the level of affective commitment and normative commitment. If employees are staying back with the organization because of the cost of leaving the organisation or it’s too much trouble to go somewhere else then there will be less satisfaction. 5. Amongst the items comprising the scale for job satisfaction, the items with highest correlation with affective commitment were related to the salary, benefits, fair treatment, opportunity for advancement, and supervision. The items with moderate correlation were appreciation (from management),interest (from intrinsic aspects of job),job security and intrinsic aspects of job(excluding ease).The job satisfaction items with lowest correlation were

working conditions(excluding hours),social aspects of job, and communication. So it

clearly indicates the importance of salary, benefit, fair treatment, opportunity for advancement and a good supervision in increasing the positive emotional attachment to the organisation. 6. Regression analysis revealed that job satisfaction had a significant impact on Organizational commitment. Job satisfaction was found to have a significant positive impact on affective commitment, explaining 67.0% of the variation in affective commitment. Thus, when job satisfaction increases, affective commitment would tend to increase with it. Job satisfaction was not found to have a significant impact on continuance commitment, explaining only 1.2% of the variation in continuance commitment. Thus, when job satisfaction increases, continuance commitment would be expected to slightly decrease with it. Job satisfaction was found to have a significant positive impact on normative commitment, explaining 35.1% of the variation in normative commitment. Thus, when job satisfaction increases, normative commitment would tend to increase with it, but less so than affective commitment. It is the interest of all organization to secure commitment and reduce employee turnover. So this topic has attracted the interest of many researchers. This study confirms the relationship between job satisfaction and organizational commitment. So managers need to make effort to

develop human resource policies that are in alignment to the needs and motivation of the employees. The findings of this study have pointed out some salient issues in the IT field. It is imperative for IT company management to meet the demands of their personnel to strengthen their motivation, satisfaction, and commitment to minimize turnover.

TABLE OF CONTENTS

DISSERTATION APPROVAL DECLARATION CERTIFICATE ACKNOWLEDGEMENT ABSTRACT TABLE OF CONTENTS LIST OF TABLES

CONTENTS

CHAPTER 1-INTRODUCTION 1.1 Information Technology Industry 1.2 Indian Information Technology Industry 1.3 Organizational Commitment 1.4 Affective Commitment 1.5 Continuance commitment 1.6 Normative Commitment 1.7 Benefit of Organizational Commitment 1.8 Job Satisfaction 1.9 The causes of Job Satisfaction 1.10 Theoretical Framework 1.11 History and Back ground of the study 1.12 Theories of Job satisfaction 1.13 Determinants of Job satisfaction 1.14 Outcomes of Job satisfaction 1.15 Motivation 1.16 Intrinsic and Extrinsic motivation 1.17 The role of motivation 1.18Theories of motivation 1.19 Scope and area of study 1.20 Resume of succeeding chapters CHAPTER 11-REVIEW OF LITERATURE 2.1 Introduction 2.2 Studies on Job satisfaction, Organizational Commitment and Motivation 2.3 Overview CHAPTER 111- RESEARCH METHODOLOGY

PAGE NUMBER

1-24 1 3 4 4 5 5 5 6 6 7 7 8 9 11

3.1 Introduction 3.2 Statement of the Problem 3.3 Operational Definitions 3.4 Variables under Investigation 3.5 Objectives of the study 3.6 Hypotheses 3.7 Setting 3.8 Population 3.9 Sample of the study 3.10 Profile of the respondents 3.11 The Instruments 3.12 Data Collection 3.13 Analysis 3.14 Conclusion

12 12 12 13 23 24 25-35 26 26 33 36-45 37 37 37 39 39 39 40 40 40 41 43 45 45 45

CHAPTER 1V-STATISTICAL ANALYSIS AND INTERPRETATION 4.1 Introduction 4.2 Characteristics and distribution of sample 4.3 Demographic Profile of respondents 4.4 Descriptive Statistics 4.5 ANOVA- Organizational commitment 4.6 ANOVA-Job satisfaction 4.7 ANOVA-Motivation 4.8 Correlation Analysis 4.9 Regression Analysis CHAPTER V-SUMMARY AND CONCLUSION 5.1 Introduction 5.2 Need for the study 5.3 Statement of the problem 5.4 Objectives of the study 5.5 Variables under investigation 5.6 Hypotheses 5.7 Population 5.8 Sample of the study 5.9 The instruments 5.10 Analysis 5.11 Major findings of the study 5.12 Implications of the study 5.13 Limitation of the study 5.14 Suggestions for further research 5.15 Conclusion

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BIBLIOGRAPHY APPENDIX-PROFORMA

86-90 91-96

47 47 47 50 56 62 66 69 71 74-85 75 75 76 76 76 77 77 77 77 78 78 82 84 84 85

LIST OF TABLES Table 3.1 showing the distribution of sample according to the age level of

40

employees Table 3.2 indicating the frequency and percentage of gender distribution of

41

respondents Table 3.3 indicating the frequency and percentage of qualification of

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respondents Table 3.4 indicating the marital status of respondents

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Table 3.5 indicating frequency and percentage of experience of respondents in

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the current company Table 3.6 indicating frequency and percentage of total experience of

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respondents Table 3.7 indicating reliability analysis of the Job satisfaction questionnaire

43-44

Table 3.8 indicating reliability analysis of the organizational commitment

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questionnaire Table 3.9 indicating reliability analysis of ranking of the motivational factors

44-45

Table 4.1 indicating the frequency and percentage of gender distribution of

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respondents Table 4.2 showing the distribution of the sample according to the age level of

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employees Table 4.3 indicating the frequency and percentage of qualification of

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respondents Table 4.4 indicating the marital status of respondents

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Table 4.5 indicating frequency and percentage of experience of respondents in

49

the current company Table 4.6 indicating frequency and percentage of total experience of

49

respondents Table 4.7 indicating the frequency and percentage of size of the organization

50

Table 4.8 indicating frequency and percentage of different managerial levels

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Table 4.9 indicating the mean and standard deviation for Affective

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commitment Table 4.10 indicating the mean and standard deviation for Continuance

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commitment Table 4.11 indicating the mean and standard deviation for Normative

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commitment Table 4.12 indicating the mean and standard deviation for Organizational

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commitment Table 4.13 indicating the mean and standard deviation for Job satisfaction

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Table 4.14 indicating the mean and standard deviation for overall Job

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satisfaction Table 4.15 indicating Friedman’s mean rank test for motivational factors of

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IT employees Table 4.16 indicating ANOVA for Organizational commitment and gender

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Table 4.17 indicating ANOVA for Organizational commitment and Age

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Table 4.18 indicating ANOVA for Organizational commitment and

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Qualification Table 4.19 indicating ANOVA for Organizational commitment and Marital

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Status Table 4.20 indicating ANOVA for Organizational commitment and Years in

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present Position Table 4.21 indicating ANOVA for Organizational commitment and Overall

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work experience Table 4.22 indicating ANOVA for Organizational commitment and Management

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level Table 4.23 indicating ANOVA for Job satisfaction and gender

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Table 4.24 indicating ANOVA for Job satisfaction and Age

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Table 4.25 indicating ANOVA for Job satisfaction and Qualification

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Table 4.26 indicating ANOVA for Job satisfaction and Marital Status

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Table 4.27 indicating ANOVA for Job satisfaction and Years in Present position

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Table 4.28 indicating ANOVA for Job satisfaction and Overall work experience

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Table 4.29 indicating ANOVA for Job satisfaction and Management level

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Table 4.30 indicating Motivation and Gender Mean

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Table 4.31 indicating Mean for Motivation and Age

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Table 4.32 indicating Mean for Motivation and Qualification

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Table 4.33 indicating Mean for Motivation and Marital Status

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Table 4.34 indicating Mean for Motivation and Years in present Position

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Table 4.35 indicating Mean for Motivation and overall work experience

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Table 4.36 indicating Mean for Motivation and Management level

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Table 4.37 indicating Pearson correlation between Job satisfaction and

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Organizational commitment Table 4.38 indicating Pearson correlation between 15 items in Job satisfaction

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and Affective commitment Table 4.39 indicating regression of Affective commitment on Job satisfaction

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Table 4.40 indicating regression of Normative commitment on Job satisfaction

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Table 4.41 indicating regression of Continuance commitment on Job satisfaction

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CHAPTER 1 INTRODUCTION

CHAPTER 1 INTRODUCTION In today’s competitive world, the biggest challenge which the organizations are facing is to retain talented employees. Job satisfaction is necessary to promote functional employee

behaviours in the organization. For the organization, job satisfaction of its workers means a work force that is motivated and committed to high quality performance. Job Satisfaction can be an important indicator of how employees feel about their jobs and a predictor of work behaviours such as organizational citizenship, absenteeism, and turnover. Further, job satisfaction can partially mediate the relationship of personality variables and deviant work behaviours. One common research finding is that job satisfaction is correlated with life satisfaction. Securing Commitment and retaining good employees are very important to achieve stability and reduce costly turn over. Various outcomes are influenced by organizational commitment such as decreased turn over, higher motivation and organizational support. An employee who is affectively committed strongly identifies with the goals of the organization and desires to remain a part of the organization. This employee commits to the organization because he/she "wants to". Organizational commitment is recognized as a key factor in the employment relationship. Similarly, it also is widely accepted that one way to reduce voluntary turnover is by strengthening employee commitment to the firm. So it is crucial to identify the level of job satisfaction, motivating factors and its influence on organizational commitment to retain talented work force in software industry. 1.1INFORMATION TECHNOLOGY INDUSTRY

The word "software" had been coined as a prank by at least 1953, but did not appear in print until the 1960s. Before this time, computers were programmed either by customers, or the few commercial computer vendors of the time, such as UNIVAC and IBM. The first company founded to provide software products and services was Computer Usage Company in 1955. The software industry began in the late 1950s when the use of computers for business applications expanded rapidly creating a huge demand for people with programming experience. A number of people who had learned their programming skills working for computer manufacturers or for the large companies and government agencies that were the first computer users saw this as an opportunity to start their own companies and sell their services under contract. The first such company, Computer Usage Corporation (CUC), was founded in 1955 by Elmer Kubie and John W. Sheldon, two former IBM employees. The company was founded with $40,000 in start-up capital which supported a staff of five in addition to the two founders. Its

first project was a program written for California Research Corporation to simulate the flow of oil. CUC became a public company in 1960 and by 1967 had a staff of over 700 people in 12 offices around the U.S. and revenues over $13 million. Unfortunately, it suffered financial losses in the late 1970s and eventually went bankrupt in 1986. In 1959, seven Univac programmers founded Applied Data Research (ADR) to market their programming skills to computer manufacturers such as Sperry Rand and Honeywell to develop systems software. ADR went public in 1965 and, in the late 1960s, became one of the first companies to successfully sell software products. It continued to be one of the largest U.S. software product companies until it was acquired by Ameritech for $215 million in 1986. Fletcher Jones and Roy Nutt, who had gained their computer experience in the aerospace industry, founded Computer Sciences Corporation (CSC) in 1959 with $100 and a contract from Honeywell to develop a business-language compiler called FACT. By 1963, CSC was the largest software company with revenues close to $4 million. CSC continues to thrive today as one of the world largest information technology services firms with more than $10.2 billion in revenues. The software industry expanded in the early 1960s, almost immediately after computers were first sold in mass-produced quantities. Universities, government, and business customers created a demand for software. Many of these programs were written in-house by full-time staff programmers. Some were distributed freely between users of a particular machine for no charge. Others were done on a commercial basis, and other firms such as Computer Sciences Corporation (founded in 1959) started to grow. The computer-makers started bundling operating systems software and programming environments with their machines. When Digital Equipment Corporation brought a relatively low-priced micro-computer to market, it brought computing within reach of many more companies and universities worldwide, and it spawned great innovation in terms of new, powerful programming languages and methodologies. New software was built for micro-computers, and others, including IBM, followed DECs example quickly, resulting in the IBM AS400 amongst others. The industry expanded greatly with the rise of the personal computer in the mid-1970s, which brought computing to the desktop of the office worker. In subsequent years, it also created a growing market for games, applications, and utilities. DOS, Microsoft's first product, was the dominant operating system at the time.

In the early years of the 21st century, another successful business model has arisen for hosted software, called software as a service, or SaaS; this was at least the third time this model had been attempted. SaaS reduces the concerns about software piracy, since it can only be accessed through the Web, and by definition no client software is loaded onto the end user's PC. The information technology (IT) industry has become of the most robust industries in the world. IT, more than any other industry or economic facet, has an increased productivity, particularly in the developed world, and therefore is a key driver of global economic growth. Economies of scale and insatiable demand from both consumers and enterprises characterize this rapidly growing sector. 1.2INDIAN INFORMATION TECHNOLOGY INDUSTRY

The Indian information technology (IT) industry has played a major role in placing India on the international map. The industry is mainly governed by IT software and facilities for instance System Integration, Software experiments, Custom Application Development and Maintenance (CADM), network services and IT Solutions. According to Nasscom's findings Indian IT-BPO industry expanded by 12% during the Fiscal year 2009 and attained aggregate returns of US$ 71.6 billion. Out of the derived revenue US$ 59.6 billion was solely earned by the software and services division. Moreover, the industry witnessed an increase of around US$ 7 million in FY 2008-09 i.e. US$ 47.3 billion against US$ 40.9 billion accrued in FY 2008-09. The origin of IT industry in India can be traced to 1974, when the mainframe manufacturer, Burroughs, asked its India sales agent, Tata Consultancy Services (TCS), to export programmers for installing system software for a U.S. client. The IT industry originated under unfavourable conditions. Local markets were absent and government policy toward private enterprise was hostile. The industry was begun by Bombay-based conglomerates which entered the business by supplying programmers to global IT firms located overseas. During that time Indian economy was state-controlled and the state remained hostile to the software industry through the 1970s. Import tariffs were high (135% on hardware and 100% on software) and software was not considered an "industry", so that exporters were ineligible for bank finance. Government policy towards IT sector changed when Rajiv Gandhi became Prime Minister in 1984. His New Computer Policy (NCP-1984) consisted of a package of

reduced import tariffs on hardware and software (reduced to 60%), recognition of software exports as a "deli censed industry", i.e., henceforth eligible for bank finance and freed from license-permit raj, permission for foreign firms to set up wholly-owned, export-dedicated units and a project to set up a chain of software parks that would offer infrastructure at belowmarket costs. These policies laid the foundation for the development of a world-class IT industry in India. Indian IT companies such as Tata Consultancy Services (TCS), Wipro, Infosys, and HCL are renowned in the global market for their IT prowess. The Indian IT & ITES industry continues to grow at a blistering pace. The availability of an abundant, highquality and cost-effective pool of skilled knowledge workers is India’s main advantage in the global IT and ITES-BPO industry. 1.3 ORGANIZATIONAL COMMITMENT The job satisfaction attitude has received the most attention over the years. Recently the more global organizational commitment has emerged out of the research literature as being important to understanding and predicting organizational behaviour. Organizational commitment can be considered to be affective responses or attitudes which link or attach an employee to the organization. As an attitude, organizational commitment is most often defined as a strong desire to remain a member of a particular organization, a willingness to exert high levels of effort on behalf of the organization and a definite belief in and acceptance of the values and goals of the organization. According to Meyer and Allen's (1991) three-component model of commitment, prior research indicated that there are three "mind sets" which can characterize an employee's commitment to the organization:

1.4 AFFECTIVE COMMITMENT Affective commitment is defined as the employee's positive emotional attachment to the organization. An employee who is affectively committed strongly identifies with the goals of the organization and desires to remain a part of the organization. This employee commits to the organization because he/she "wants to". In developing this concept, Meyer and Allen drew

largely on Mow day, Porter, and Steer’s (1982) concept of commitment, which in turn drew on earlier work by Kanter (1968). 1.5 CONTINUANCE COMMITMENT The individual commits to the organization because he/she perceives high costs of losing organizational membership (cf. Becker's 1960 "side bet theory"), including economic costs (such as pension accruals) and social costs (friendship ties with co-workers) that would be incurred. The employee remains a member of the organization because he/she "has to". 1.6 NORMATIVE COMMITMENT The individual commits to and remains with an organization because of feelings of obligation. These feelings may derive from many sources. For example, the organization may have invested resources in training an employee who then feels a 'moral' obligation to put forth effort on the job and stay with the organization to 'repay the debt.' It may also reflect an internalized norm, developed before the person joins the organization through family or other socialization processes, that one should be loyal to one's organization. The employee stays with the organization because he/she "ought to". Normative commitment involves the employee’s feelings of obligation to stay with the organization. 1.7 BENEFIT OF ORGANIZATIONAL COMMITMENT Organizational Commitment implies an intention to persist in a course of action. Therefore, organizations often try to foster commitment in their employees to achieve stability and reduce costly turnover. It is commonly believed that committed employees will also work harder and be more likely to “go the extra mile” to achieve organizational

objectives.

Research has consistently demonstrated that commitment does indeed contribute to a reduction in turnover. Research consistently shows that employees who want to stay (high ACS) tend to perform at a higher level than those who do not (low ACS). Employees who remain out of obligation (high NCS) also tend to out-perform those who feel no such obligation (low NCS), but the effect on performance is not as strong as that observed for desire. Finally, employees who have to stay primarily to avoid losing something of value (e.g., benefits, seniority) often have little incentive to do anything more than is required to retain their positions.

1.8 JOB SATISFACTION Job satisfaction is a result of employee’s perception of how well their job provides those things that are viewed as important. There are three important dimensions to job satisfaction. First, job satisfaction is an emotional response to a job situation. Second, job satisfaction is often determined by how well out comes meet or exceed expectations. Third job satisfaction represents several related attitudes. 1.9 THE CAUSES OF JOB SATISFACTION Five predominant models of job satisfaction focus on different causes. Need Fulfilment: These models propose that satisfaction is determined by the extent to which the characteristics of a job allow an individual to fulfil his or her needs. Unmet needs can affect both satisfaction and turnover. Discrepancies: These models propose that satisfaction is a result of met expectations. Met expectation represent the difference between what an individual expects to receive from a job and what he or she actually receives. When expectations are greater than what is received a person will be dissatisfied. This model predicts that individual will be satisfied when her or she attains out comes above and beyond expectation. Value Attainment: Satisfaction result from the perception that a job allows fulfilment of an individual’s important work values. Managers can thus enhance employee satisfaction by structuring the work environment and its associated rewards and recognition to reinforce employee values. Equity: In this model, satisfaction is a function of how fairly an individual is treated at work. Satisfaction result from ones perception that work outcomes, relative to inputs, compare favourably with a significant others outcomes/inputs. Dispositional/Genetic components: This model is based on the belief that job satisfaction is partly a function of both personal traits and genetic factors. It implies that stable individual differences are important in explaining job satisfaction. 1.10 THEORETICAL FRAME WORK

The term job satisfaction refers to the general attitude of an individual towards his/her job(Robbins,2003).Job satisfaction has been defined as a pleasurable emotional state resulting from the appraisal of one’s job; an affective reaction to one’s job; and an attitude towards one’s job. Weiss (2002) has argued that job satisfaction is an attitude but points out that researchers should clearly distinguish the objects of cognitive evaluation which are affect (emotion), beliefs and behaviours. This definition suggests that we form attitudes towards our jobs by taking into account our feelings, our beliefs, and our behaviours. Job satisfaction can also be defined as either as the overall or general job satisfaction of an employee or as the satisfaction with certain facets of the job such as the work itself ,co-workers,supervision,pay, working conditions, company policies, procedures and opportunities for promotion(Smith et al.,1969).Based upon these two view points of job satisfaction , it may be measures either as the general or overall satisfaction of an employee with the job or it may be measured as the satisfaction of an employee with the various work facets. For the present study the former view of job satisfaction has adopted. 1.11 HISTORY AND BACK GROUND OF THE STUDY One of the biggest preludes to the study of job satisfaction was the Hawthorne studies. These studies (1924-1933), primarily credited to Elton Mayo of the Harvard Business School, sought to find the effects of various conditions (most notably illumination) on workers’ productivity. These studies ultimately showed that novel changes in work conditions temporarily increase productivity (called the Hawthorne Effect). It was later found that this increase resulted, not from the new conditions, but from the knowledge of being observed. This finding provided strong evidence that people work for purposes other than pay, which paved the way for researchers to investigate other factors in job satisfaction. Scientific management also had a significant impact on the study of job satisfaction. Frederick Winslow Taylor’s 1911 book, Principles of Scientific Management, argued that there was a single best way to perform any given work task. This book contributed to a change in industrial production philosophies, causing a shift from skilled labour and piecework towards the more modern approach of assembly lines and hourly wages. The initial use of scientific management by industries greatly increased productivity because workers were forced to work at a faster pace. However, workers became exhausted and dissatisfied, thus leaving researchers with new questions to answer regarding job satisfaction. It should also be noted

that the work of W.L. Bryan, Walter Dill Scott, and Hugo Munsterberg set the tone for Taylor’s work. Some argue that Maslow’s hierarchy of needs theory, a motivation theory, laid the foundation for job satisfaction theory. This theory explains that people seek to satisfy five specific needs in life – physiological needs, safety needs, social needs, self-esteem needs, and selfactualization. This model served as a good basis from which early researchers could develop job satisfaction theories. 1.12 THEORIES OF JOB SATISFACTION Affect Theory Edwin A. Locke’s Range of Affect Theory (1976) is arguably the most famous job satisfaction model. The main premise of this theory is that satisfaction is determined by a discrepancy between what one wants in a job and what one has in a job. Further, the theory states that how much one values a given facet of work (e.g. the degree of autonomy in a position) moderates how satisfied/dissatisfied one becomes when expectations are/aren’t met. When a person values a particular facet of a job, his satisfaction is more greatly impacted both positively (when expectations are met) and negatively (when expectations are not met), compared to one who doesn’t value that facet. Dispositional Theory Another well known job satisfaction theory is the Dispositional Theory. It is a very general theory that suggests that people have innate dispositions that cause them to have tendencies toward a certain level of satisfaction, regardless of one’s job. This approach became a notable explanation of job satisfaction in light evidence that job satisfaction tends to be stable over time and across careers and jobs. Research also indicates that identical twins have similar levels of job satisfaction.

Two-Factor Theory (Motivator-Hygiene Theory) Frederick Herzberg’s two factor theory (also known as Motivator Hygiene Theory) attempts to explain satisfaction and motivation in the workplace .This theory states that satisfaction and

dissatisfaction are driven by different factors – motivation and hygiene factors, respectively. An employee’s motivation to work is continually related to job satisfaction of a subordinate. Motivation can be seen as an inner force that drives individuals to attain personal and organization goals . Motivating factors are those aspects of the job that make people want to perform, and provide people with satisfaction, for example achievement in work, recognition, promotion opportunities. These motivating factors are considered to be intrinsic to the job, or the work carried out. Hygiene factors include aspects of the working environment such as pay, company policies, supervisory practices, and other working conditions. 1.13 DETERMINANTS OF JOB SATISFACTION While analyzing the various determinants of job satisfaction, we have to keep in mind that: all individuals do no derive the same degree of satisfaction though they perform the same job in the same job environment and at the same time. Therefore, it appears that besides the nature of job and job environment, there are individual variables which affect job satisfaction. Thus, all those factors which provide a fit among individual variables, nature of job, and situational variables determine the degree of job satisfaction. Let us see what these factors are Individual factors: Individuals have certain expectations from their jobs. If their expectations are met from the jobs, they feel satisfied. These expectations are based on an individual’s level of education, age and other factors. Level of education: Level of education of an individual is a factor which determines the degree of job satisfaction. For example, several studies have found negative correlation between the level of education, particularly higher level of education, and job satisfaction. The possible reason for this phenomenon may be that highly educated persons have very high expectations from their jobs which remain unsatisfied. In their case, Peter’s principle which suggests that every individual tries to reach his level of incompetence, applies more quickly. Age: Individuals experience different degree of job satisfaction at different stages of their life. Job satisfaction is high at the initial stage, gets gradually reduced, starts rising up to certain stage,

and finally dips to a low degree. The possible reasons for this phenomenon are like this. When individuals join an organization, they may have some unrealistic assumptions about what they are going to drive from their work. These assumptions make them more satisfied. However, when these assumptions fall short of reality, job satisfaction goes down. It starts rising again as the people start to assess the jobs in right perspective and correct their assumptions. At the last, particularly at the far end of the career, job satisfaction goes down because of fear of retirement and future outcome. Other factors: Besides the above two factors, there are other individual factors which affect job satisfaction. If an individual does not have favourable social and family life, he may not feel happy at the workplace. Similarly, other personal problems associated with him may affect his level of job satisfaction. Personal problems associated with him may affect his level of job satisfaction. Nature of job: Nature of job determines job satisfaction which is in the form of occupation level and job content. Occupation level: Higher level jobs provide more satisfaction as compared to lower levels. This happens because high level jobs carry prestige and status in the society which and the itself becomes source of satisfaction for the job holders. Job content: Job content refers to the intrinsic value of the job which depends on the requirement of skills for performing it, degree of responsibility and growth it offers. A higher content of these factors provides higher satisfaction. For example, a routine and repetitive lesser satisfaction; the degree of satisfaction progressively increases in job rotation, job enlargement, and job enrichment Situational variables: Situational variables related to job satisfaction lie in organizational context – formal and informal. Formal organization emerges out of the interaction of individuals in the organization. Some of the important factors which affect job important factors which affect job satisfaction are given below: Working conditions: Working conditions, particularly physical work environment, like conditions of workplace and associated facilities for performing the job determine job satisfaction. These work in two ways. First, these provide means job performance. Second,

provision of these conditions affects the individual’s perception about the organization. If these factors are favourable, individuals experience higher level of job satisfaction. Supervision: The type of supervision affects job satisfaction as in each type of supervision; the degree of importance attached to individuals varies. In employee-oriented supervision, there is more concern for people which is perceived favourably by them and provides them more satisfaction. In job oriented supervision, there is more emphasis on the performance of the job and people become secondary. This situation decreases job satisfaction. Equitable rewards: The type of linkage that is provided between job performance and rewards determines the degree of job satisfaction. If the reward is perceived to be based on the job performance and equitable, it offers higher satisfaction. If the reward is perceived to be based on considerations other than the job performance, it affects job satisfaction adversely. Opportunity: It is true that individuals seek satisfaction in their jobs in the context of job nature and work environment by they also attach importance to opportunities for promotion that these job offer. If the present job offers opportunity of promotion is lacking, it reduces satisfaction. Work group: Individuals work in group either created formally of they develop on their own to seek emotional satisfaction at the workplace. To the extent such groups are cohesive; the degree of satisfaction is high. If the group is not cohesive, job satisfaction is low. In a cohesive group, people derive satisfaction out of their interpersonal interaction and workplace becomes satisfying leading to job satisfaction 1.14 OUTCOMES OF JOB SATISFACTION To society as a whole as well as from an individual employees stand point, job satisfaction in and of itself is a desirable outcome. The most important outcomes of job satisfaction are Satisfaction and Productivity: There are many variables which can affect productivity. The most important of which is rewards. If people receive rewards they feel equitable, they will be satisfied and this is likely to result in greater performance effort. Satisfaction and Turnover: If there is considerable job dissatisfaction there is likely to be high turnover. There are other factors such as commitment to the organization play a role in the relationship between satisfaction and turnover.

Satisfaction and Absenteeism: Research has pretty well demonstrated an inverse relationship between satisfaction and absenteeism. When satisfaction is high, absenteeism tends to be low. Other effects such as Citizenship Behaviours: Research reports that highly satisfied employees tend to have a better mental and physical health, learn new job related tasks more quickly, have fewer on-the-job accidents, and file fewer grievances. Also on the positive side, it has recently been found that satisfied employees are more likely to exhibit prosocial citizenship behaviours and activities. 1.15 MOTIVATION Motivation is a basic psychological process. Motivation is a process that starts with physiological or psychological deficiency or need that activates behaviour or drive that is aimed at a goal or incentive. In a systems sense, motivation consists of these three interacting and interdependent elements: Needs: Needs are created whenever there is a physiological or psychological imbalance Drives: A physiological drive is defined as a deficiency with direction Incentives: At the end of the motivation cycle is the incentive, defined as anything that will alleviate a need and reduce a drive. 1.16 INTRINSIC AND EXTRINSIC MOTIVATION Intrinsic motivation has been studied by social and educational psychologists since the early 1970s. Research has found that it is usually associated with high educational achievement and enjoyment by students. Intrinsic motivation has been explained by Fritz Heider's attribution theory, Bandura's work on self-efficacy, and Ryan and Deci's cognitive evaluation theory. Extrinsic motivation comes from outside of the performer. Money is the most obvious example, but coercion and threat of punishment are also common extrinsic motivations. While competing, the crowd may cheer on the performer, which may motivate him or her to do well. Trophies are also extrinsic incentives. Competition is in general extrinsic because it encourages the performer to win and beat others, not to enjoy the intrinsic rewards of the activity. 1.17 THE ROLE OF MOTIVATION

Why do we need motivated employees? The answer is survival (Smith, 1994). Motivated employees are needed in our rapidly changing workplaces. Motivated employees help organizations survive. Motivated employees are more productive. To be effective, managers need to understand what motivates employees within the context of the roles they perform. Of all the functions a manager performs, motivating employees is arguably the most complex. This is due, in part, to the fact that what motivates employees changes constantly (Bowen & Radhakrishna, 1991). For example, research suggests that as employees' income increases, money becomes less of a motivator (Kovach, 1987). Also, as employees get older, interesting work becomes more of a motivator. 1.18 THEORIES OF MOTIVATION Jeremy Bentham’s “The Carrot and the Stick Approach”: Possibly the essence of the traditional view of people at work can be best appreciated by a brief look at the work of this English philosopher, whose ideas were also developed in the early years of the Industrial Revolution, around 1800. Bentham’s view was that all people are self-interested and are motivated by the desire to avoid pain and find pleasure. Any worker will work only if the reward is big enough, or the punishment sufficiently unpleasant. This view - the ‘carrot and stick’ approach - was built into the philosophies of the age and is still to be found, especially in the older, more traditional sectors of industry. The various leading theories of motivation and motivators seldom make reference to the carrot and the stick. This metaphor relates, of course, to the use of rewards and penalties in order to induce desired behaviour. It comes from the old story that to make a donkey move, one must put a carrot in front of him or dab him with a stick from behind. Despite all the research on the theories of motivation, reward and punishment are still considered strong motivators. For centuries, however, they were too often thought of as the only forces that could motivate people. At the same time, in all theories of motivation, the inducements of some kind of ‘carrot’ are recognized. Often this is money in the form of pay or bonuses. Even though money is not the only motivating force, it has been and will continue to be an important one. The trouble with the money ‘carrot’ approach is that too often everyone gets a carrot, regardless of performance through such practices as salary increase and promotion by seniority, automatic ‘merit’ increases, and executive bonuses not based on individual manager performance. The ‘stick’,

in the form of fear–fear of loss of job, loss of income, reduction of bonus, demotion, or some other penalty–has been and continues to be a strong motivator. Yet it is admittedly not the best kind. It often gives rise to defensive or retaliatory behaviour, such as union organization, poor-quality work, executive indifference, failure of a manager to take any risks in decision making or even dishonesty. But fear of penalty cannot be overlooked. Whether managers are first-level supervisors or chief executives, the power of their position to give or with hold rewards or impose penalties of various kinds gives them an ability to control, to a very great extent, the economic and social well-being of their subordinates. Reinforcement Theory B.F. Skinner, who propounded the reinforcement theory, holds that by designing the environment properly, individuals can be motivated. Instead of considering internal factors like impressions, feelings, attitudes and other cognitive behaviour, individuals are directed by what happens in the environment external to them. Skinner states that work environment should be made suitable to the individuals and that punishment actually leads to frustration and de-motivation. Hence, the only way to motivate is to keep on making positive changes in the external environment of the organization. Cognitive Evaluation Theory As per this theory a shift from external rewards to internal rewards results into motivation. It believes that even after the stoppage of external stimulus, internal stimulus survives. It relates to the pay structure in the organization. Instead of treating external factors like pay, incentives, promotion etc and internal factors like interests, drives, responsibility etc, separately, they should be treated as contemporary to each other. The cognition is to be such that even when external motivators are not there the internal motivation continues. However, practically extrinsic rewards are given much more weight age. The incentive theory of motivation A reward, tangible or intangible, is presented after the occurrence of an action (i.e. behaviour) with the intent to cause the behaviour to occur again. This is done by associating positive meaning to the behaviour. Studies show that if the person receives the reward immediately, the effect would be greater, and decreases as duration lengthens. Repetitive action-reward combination can cause the action to become habit. Motivation comes from two sources: oneself, and other people. These two sources are called intrinsic motivation and extrinsic motivation, respectively. Applying proper motivational techniques can be much harder than it

seems. Steven Kerr notes that when creating a reward system, it can be easy to reward A, while hoping for B, and in the process, reap harmful effects that can jeopardize your goals. A reinforce is different from reward, in that reinforcement is intended to create a measured increase in the rate of a desirable behaviour following the addition of something to the environment. Vroom’s Valence x Expectancy theory: The most widely accepted explanations of motivation have been propounded by Victor Vroom. His theory is commonly known as expectancy theory. The theory argues that the strength of a tendency to act in a specific way depends on the strength of an expectation that the act will be followed by a given outcome and on the attractiveness of that outcome to the individual to make this simple, expectancy theory says that an employee can be motivated to perform better when there is a belief that the better performance will lead to good performance appraisal and that this shall result into realization of personal goal in form of some reward. The theory focuses on three things: Efforts and performance relationship Performance and reward relationship Rewards and personal goal relationship Drive-reduction theories

There are a number of drive theories. The Drive Reduction Theory grows out of the concept that we have certain biological drives, such as hunger. As time passes the strength of the drive increases if it is not satisfied (in this case by eating). Upon satisfying a drive the drive's strength is reduced. The theory is based on diverse ideas from the theories of Freud to the ideas of feedback control systems, such as a thermostat. Cognitive dissonance theory

Suggested by Leon Festinger, this occurs when an individual experiences some degree of discomfort resulting from an incompatibility between two cognitions. For example, a consumer may seek to reassure himself regarding a purchase, feeling, in retrospect, that

another decision may have been preferable. Another example of cognitive dissonance is when a belief and behaviour are in conflict. Key Experiences and Motivation

Prof. Gad Yair from The Hebrew University has developed a line of research on Key Experiences, especially relating to educational events. His approach to motivation follows his longstanding interest in outstanding motivating events - either short term and contextual or long-term. He first published a series of papers using the Experience Sampling Method (all three in 2000). This has led to his major study of key experiences, motivation and long-term outcomes. His papers on Key experiences in higher education and on the role of those experiences in educational turning points are readily available over the net. The concept of key educational experiences refers to singular, short and intense educational encounters that proved to have strong and long-lasting effects on adults. Need theories

Need hierarchy theory Abraham Maslow's theory is one of the most widely discussed theories of motivation. The theory can be summarized as follows: •

Human beings have wants and desires which influence their behaviour. Only unsatisfied needs influence behaviour, satisfied needs do not.

•

Since needs are many, they are arranged in order of importance, from the basic to the complex.

•

The person advances to the next level of needs only after the lower level need is at least minimally satisfied.

•

The further the progress up the hierarchy, the more individuality, humanness and psychological health a person will show.

The needs, listed from basic (lowest-earliest) to most complex (highest-latest) are as follows: •

Physiology (hunger, thirst, sleep, etc.)

•

Safety/Security/Shelter/Health

•

Belongingness/Love/Friendship

•

Self-esteem/Recognition/Achievement

•

Self actualization

(I) Physiological needs:

These are important needs for sustaining the human life. Food, water, warmth, shelter, sleep, medicine and education are the basic physiological needs which fall in the primary list of need satisfaction. Maslow was of an opinion that until these needs were satisfied to a degree to maintain life, no other motivating factors can work. (ii) Security or Safety needs: These are the needs to be free of physical danger and of the fear of losing a job, property, food or shelter. It also includes protection against any emotional harm. (iii) Social needs: Since people are social beings, they need to belong and be accepted by others. People try to satisfy their need for affection, acceptance and friendship. (iv) Esteem needs: According to Maslow, once people begin to satisfy their need to belong, they tend to want to be held in esteem both by themselves and by others. This kind of need produces such satisfaction as power, prestige status and self-confidence. It includes both internal esteem factors like self-respect, autonomy and achievements and external esteem factors such as states, recognition and attention. (v) Need for self-actualization: Maslow regards this as the highest need in his hierarchy. It is the drive to become what one is capable of becoming; it includes growth, achieving one’s potential and self-fulfilment. It is to maximize one’s potential and to accomplish something. As each of these needs are substantially satisfied, the next need becomes dominant. From the standpoint of motivation, the theory would say that although no need is ever fully gratified, a substantially satisfied need no longer motivates. So if you want to motivate someone, you need to understand what level of the hierarchy that person is on and focus on satisfying those needs or needs above that level. Maslow’s need theory has received wide recognition, particularly among practicing managers. This can be attributed to the theory’s intuitive logic and ease of understanding.

Theory X and Theory Y” of Douglas McGregor:

McGregor, in his book “The Human side of Enterprise” states that people inside the organization can be managed in two ways. The first is basically negative, which falls under the category X and the other is basically positive, which falls under the category Y. After viewing the way in which the manager dealt with employees, McGregor concluded that a manager’s view of the nature of human beings is based on a certain grouping of assumptions and that he or she tends to mould his or her behaviour towards subordinates according to these assumptions. Under the assumptions of theory X: •

Employees inherently do not like work and whenever possible, will attempt to avoid it.

•

Because employees dislike work, they have to be forced, coerced or threatened with punishment to achieve goals.

•

Employees avoid responsibilities and do not work fill formal directions are issued.

•

Most workers place a greater importance on security over all other factors and display little ambition.

In contrast under the assumptions of theory Y: •

Physical and mental effort at work is as natural as rest or play.

•

People do exercise self-control and self-direction and if they are committed to those goals.

•

Average human beings are willing to take responsibility and exercise imagination, ingenuity and creativity in solving the problems of the organization.

•

That the way the things are organized, the average human being’s brainpower is only partly used.

On analysis of the assumptions it can be detected that theory X assumes that lower-order needs dominate individuals and theory Y assumes that higher-order needs dominate individuals. An organization that is run on Theory X lines tends to be authoritarian in nature, the word “authoritarian” suggests such ideas as the “power to enforce obedience” and the “right to command.” In contrast Theory Y organizations can be described as “participative”, where the aims of the organization and of the individuals in it are integrated; individuals can achieve their own goals best by directing their efforts towards the success of the organization. Herzberg’s two-factor theory Frederick Herzberg's two-factor theory, intrinsic/extrinsic motivation, concludes that certain factors in the workplace result in job satisfaction, but if absent, they don't lead to dissatisfaction but no satisfaction. The factors that motivate people can change over their lifetime, but "respect for me as a person" is one of the top motivating factors at any stage of life. He distinguished between: Motivators; (e.g. challenging work, recognition, responsibility) which give positive satisfaction, and Hygiene factors; (e.g. status, job security, salary and fringe benefits) that do not motivate if present, but, if absent, result in demotivation. The name Hygiene factors is used because, like hygiene, the presence will not make you healthier, but absence can cause health deterioration. The theory is sometimes called the "Motivator-Hygiene Theory" and/or "The Dual Structure Theory." Herzberg's theory has found application in such occupational fields as information systems and in studies of user satisfaction. Alderfer’s ERG theory Alderfer, expanding on Maslow's hierarchy of needs, created the ERG theory (existence, relatedness and growth). Physiological and safety, the lower order needs, are placed in the existence category, while love and self esteem needs are placed in the relatedness category. The growth category contains our self-actualization and self-esteem needs.

Self-determination theory

Self-determination theory, developed by Edward Deci and Richard Ryan, focuses on the importance of intrinsic motivation in driving human behaviour. Like Maslow's hierarchical theory and others that built on it, SDT posits a natural tendency toward growth and development. Unlike these other theories, however, SDT does not include any sort of "autopilot" for achievement, but instead requires active encouragement from the environment. The primary factors that encourage motivation and development are autonomy, competence feedback, and relatedness. McClelland’s Theory of Needs: David McClelland has developed a theory on three types of motivating needs: Need for Power Need for Affiliation Need for Achievement Basically people for high need for power are inclined towards influence and control. They like to be at the centre and are good orators. They are demanding in nature, forceful in manners and ambitious in life. They can be motivated to perform if they are given key positions or power positions. In the second category are the people who are social in nature. They try to affiliate themselves with individuals and groups. They are driven by love and faith. They like to build a friendly environment around themselves. Social recognition and affiliation with others provides them motivation. People in the third area are driven by the challenge of success and the fear of failure. Their need for achievement is moderate and they set for themselves moderately difficult tasks. They are analytical in nature and take calculated risks. Such people are motivated to perform when they see at least some chances of success. McClelland observed that with the advancement in hierarchy the need for power and achievement increased rather than Affiliation. He also observed that people who were at the top, later ceased to be motivated by this drives. Equity Theory:

As per the equity theory of J. Stacey Adams, people are motivated by their beliefs about the reward structure as being fair or unfair, relative to the inputs. People have a tendency to use subjective judgment to balance the outcomes and inputs in the relationship for comparisons between different individuals. Accordingly, this observation is illustrated in a diagram in the subsequent page:

If people feel that they are not equally rewarded they either reduce the quantity or quality of work or migrate to some other organization. However, if people perceive that they are rewarded higher, they may be motivated to work harder. Broad theories

The latest approach in Achievement Motivation is an integrative perspective as lined out in the "Onion-Ring-Model of Achievement Motivation" by Heinz Schuler, George C. Thornton III, Andreas Frintrup and Rose Mueller-Hanson. It is based on the premise that performance motivation results from the way broad components of personality are directed towards

performance. As a result, it includes a range of dimensions that are relevant to success at work but which are not conventionally regarded as being part of performance motivation. Especially it integrates formerly separated approaches as Need for Achievement with e.g. social motives like Dominance. Goal-setting theory Goal-setting theory is based on the notion that individuals sometimes have a drive to reach a clearly defined end state. Often, this end state is a reward in itself. A goal's efficiency is affected by three features: proximity, difficulty and specificity. An ideal goal should present a situation where the time between the initiation of behaviour and the end state is close. This explains why some children are more motivated to learn how to ride a bike than mastering algebra. A goal should be moderate, not too hard or too easy to complete. In both cases, most people are not optimally motivated, as many want a challenge (which assumes some kind of insecurity of success). At the same time people want to feel that there is a substantial probability that they will succeed. Specificity concerns the description of the goal in their class. The goal should be objectively defined and intelligible for the individual. 1.19 SCOPE AND AREA OF STUDY Specific employee attitude relating to Job satisfaction and Organizational commitment are of major interest to the field of Organizational behaviour and the practise of human resource management. Job satisfaction is a significant determinant of organizational commitment. So the current study concentrates on identifying the link between job satisfaction and organizational commitment. The study shall serve the following purpose •

Will help in identifying the factors which motivates employees in soft ware industry.

•

Improves knowledge about the factors which can create commitment

•

Helps to develop commitment-oriented organization policies.

•

Helps to bring out new and motivating ideas in Human resources planning

•

Will help to reduce employee turn over

•

It can improve the quality of HR practises

1.20 RESUME OF SUCCEEDING CHAPTERS The current chapter deals with introduction into the Information technology industry and the topic under study. The second chapter will be covering review of relevant literature and third chapter deals research methodology. The fourth chapter will be having the statistical analysis and interpretation of the data collected. Fifth chapter covers summary and conclusion.

CHAPTER 11 REVIEW OF LITERATURE

CHAPTER 11 REVIEW OF LITERATURE 2.1 INTRODUCTION The loss of skilled IT professionals is very expensive. Annual rates of turnover in IT departments have been estimated up to 20% or more. In addition to the cost of replacing the experienced staff turnover takes its toll on productivity and morale through disruption of projects, heavier workloads and negative impact on team cohesion. Some sources view high turnover as inevitable consequence of tremendous demand for technology skills .The only remedy for this trend is research and development to increase commitment among IT professionals. The literature review of this thesis is divided into three parts. The first part begins with literature review on job satisfaction. Second part covers organizational commitment and the last part on motivation. Finally from the review of literature gap is identified for the current study. 2.2 STUDIES ON JOB SATISFACTION, ORGANIZATIONAL COMMITMENT AND MOTIVATION The present study is based on the rationale that turnover intentions among software professionals are largely in agreement with theoretical models of job satisfaction, organizational commitment, and turnover. Research on turnover and retention in IT does not much support the claim that IT turnover can be independent of job satisfaction, but rather suggest that IT employees seem to be quicker to change jobs than other employees when they are dissatisfied with their current employer (Hacker, 2003) Adnan, Riaz . and Muhammad, Ramay. (2010) conducted a study to find out the antecedents of Job satisfaction in telecom sector. The research was conducted to identify the factors that lead to job satisfaction and commitment of employees working for telecom sector in Pakistan. Through questionnaire survey responses from 221 employees working at managerial and nonmanagerial positions were collected, which showed the significant association of supervision and collegiality and open communication on job satisfaction. The correlation results show the high association of performance appraisal system with career development and management,

which indicates that if employees are promoted on the basis of performance, then it increases job satisfaction. Secondly, communication is also found highly correlated with job satisfaction and job commitment, pertaining that open flow of communication not only provides satisfaction but also confer a sense of loyalty to and identification with the organization. Thirdly, job satisfaction was found most significantly related with job commitment in this study. According to the study conducted by Gunlu, Ebru; and Aksarayli, Mehmet (2010) on Job satisfaction and Organizational commitment of hotel managers in Turkey, the findings indicate that extrinsic, intrinsic, and general job satisfaction have a significant effect on normative commitment and affective commitment. In addition, the findings suggest that the dimensions of job satisfaction do not have a significant effect on continuance commitment among the managers of large-scale hotels. When the characteristics of the sample are regarded, age, income level, and education have a significant relationship with extrinsic job satisfaction whereas income level indirectly affects affective commitment. Several studies are done on the area of job satisfaction in software industry. According to the 2009 Job Satisfaction Survey, released on June 28 by the Society for Human Resource Management (SHRM) at its 61st Annual Conference and Exposition in New Orleans the result shows majority of the employees (58%) reports that the current recession has not affected the overall job satisfaction. The employees those who participated in the survey sited job security as the number one aspect of job satisfaction. The study conducted by the Chartered Institute of Personnel and Development(CIPD)in 2009 reports that job satisfaction among employees in UK

has

increased despite of

recession.CIPD suggest that rise could be attributed to the fact that people are more likely to adopt a grin and bear it attitude during recession. The survey also suggests that there are some underlying problems that could cause weakened morale in the near future. 75% of respondents have stated that their organisation has been affected by the recession with half of them reporting an increase in work-related stress as a consequence. According to the results of a job satisfaction survey conducted by ExecuNet nearly two-thirds (64 per cent) of the 306 IT executives who responded to the survey said they were satisfied with their jobs.

Despite having to cope with massive budget cuts, salary freezes and demoralized staffs, most employed IT executives are more satisfied with their jobs in 2009 than they have been in previous years, according to the results of a job satisfaction survey conducted by ExecuNet. Nearly two-thirds (64 per cent) of the 306 IT executives who responded to the survey said they were satisfied with their jobs. That's an 11 percent increase over 2008, when 286 IT leaders responded to the survey. In 2007, only 41 percent of IT executives reported being happy with their jobs even though the economy was arguably much stronger then than it is now. IT executives cited work they enjoy (checked by 13 per cent), a good relationship with their bosses (12.5 per cent), and a comfy fit with their employers (10.2 per cent) as the primary reasons for job satisfaction. Among the 36 percent of IT leaders who indicated that they aren't happy with their jobs, their top reasons were limited advancement opportunities (noted by 14 per cent), compensation (11.3 per cent) and lack of challenge (10 per cent). The comparative study conducted by Catherine.T. Kwantes (2009) among engineers on job satisfaction and organizational commitment in India and in America revealed that Job satisfaction is found to relate to affective commitment in both the Indian and American samples. Mahmoud AL-Hussami (2008) conducted a study on Nurses' Job Satisfaction: The Relationship to Organizational Commitment, Perceived Organizational Support, Transactional Leadership, Transformational Leadership, and Level of Education in South-eastern United States. The findings indicated that there was a strong correlation between job satisfaction an organizational commitment. Job satisfaction and organizational commitment were found to be significantly related in all 20 of the correlation items. The results suggested that the nurses' strongest attitudes towards organizational commitment and job satisfaction were their feelings of strong loyalty to their organization and satisfaction with the job itself. Also nurses' job satisfaction and perceived organizational support were determined to be significantly related. A correlation of (N=55), R (55) =.93, P < .05 was obtained between job satisfaction and organizational support.

Mosadeghrad,A.M;Ferlie,E.and Rosenberg.(2008) undertook a study to find

out the

relationship between job satisfaction, organizational commitment and turnover intention among hospital employees .The result indicated that hospital employees are moderately satisfied and committed. Employee’s job satisfaction and organizational commitment were closely inter related and correlated with turnover intention. As job satisfaction and organizational commitment have strong correlation with turnover, it is very important to reinforce them by applying the right human resource policies. Adeyinka Tella; C.O Ayeni; and S O Popoola (2007) conducted a study on Work Motivation, Job Satisfaction, and Organisational Commitment of Library Personnel in Academic and Research Libraries in Oyo State, Nigeria. The findings of this study reveal that a correlation exists between perceived motivation, job satisfaction, and commitment, although correlation between motivation and commitment was negative. No difference was observed in the perceived motivation of professional and non-professional library personnel. Moreover, findings also show that differences exist in the job satisfaction of library personnel in academic and research libraries, and that no relationship exists in the organizational commitment of library personnel based on their years of experience. According to the study conducted by Smeenk; Elisinga; Teelken J.C (2006) among Dutch university employees revealed that compensation, training and development, positional tenure and career mobility have significant effect on organizational commitment. Age ,organizational tenure, level of autonomy, working hours, social involvement and personal importance significantly affect the employees organizational commitment in the hegemonist faculty. A study conducted by Ali Mohammed (2005) on the relationship between job satisfaction, organisational commitment and turnover intention among hospital employees in Iran identified that employees job satisfaction and organizational commitment were closely inter related and correlated with turnover intention . The study conducted by Curtin university of technology on job satisfaction and affective commitment of employees in tourism industry (2005) revealed that the three most important factors to motivate employees are interesting work, job security and opportunities for advancement and development. The study identified that all 10 factors of the Kovach’s Ten Job –Related factors were important towards creating job motivation for employees in the tourism industry in Sarawak, Malaysia. Satisfaction towards ‘salary’ was found to have a

significant positive relationship with affective commitment. However, age did not moderate the relationships between job satisfaction and organizational commitment. All the five facets of job satisfaction did not show significant relationships with continuance commitment. Age did not have a direct influence on continuance commitment. Similarly, no significant interaction effect between facets of job satisfaction and age on continuance commitment was found in this study. Only satisfaction towards supervision showed a significant positive relationship with normative commitment. It is plausible that when employees judge the organization to be providing good supervision, positive feelings of well being will be created. This is likely to stimulate them to reciprocate by increasing their sense of obligation to the organization and the belief that staying is the ‘right thing’ to do to the organization. Age also did not have a direct effect and interaction effect with the facets of job satisfaction to predict normative commitment. According to the study conducted by A.K Paul and Anathraman (2004) among Indian software professionals, the study's results emphasize the role of such HRD variables as inculcating and enhancing organizational commitment, and suggest that HRD practitioners and researchers should further develop commitment-oriented organization policies. According to the study conducted by Timothy Lee Dore (2004) on the relationship between job characteristics, job satisfaction and turnover intention among software developers, the result of the study uncovered several factors that can influence turnover intentions. Identified in the study as statistically significant job characteristics that can be influenced by management are training, autonomy, feedback, task significance and skill and variety. Job satisfaction as a significant determinant of organizational commitment has been well documented in numerous studies (Porter et al., 1974; Mottaz, 1987; Williams and Anderson, 1991; Vanderberg and Lance, 1992; Knoop, 1995; Young, Worchel and Woehr, 1998; Testa, 2001). A large number of research reviews have concluded that organizational commitment plays an important role in predicting work behaviour. Research has also shown that organizational commitment significantly correlates with job satisfaction, organizational citizenship behaviour, turnover intentions, work performance, employee motivation and thus appears to be a crucial factor in understanding and enhancing work effectiveness ( Mowday , 1982; Mathieu and Zajac, 1990; Cohen, 1993a and 1993b; Meyer and Allen, 1997; Meyer et al.,

2002; Cooper-Hakim and Viswesvaran, 2005; Riketta and Van Dick, 2005; Chughtai and Zafar, 2006; and Kumar and Giri, 2007). Employees with low level of commitment are more likely to leave their organizations whereas highly committed employees wish to remain with their employing organizations (Mowday et al., 1982; Cohen, 1993a and 1993b; and Meyer et al., 2002). The significance and importance of the concept of organizational commitment in terms of leading to beneficial organizational and desirable outcomes such as increased

effectiveness,

reducing absenteeism and turnover, has been documented by many studies such as those of Steers (1977); Porter et al. (1974); Reiches (1985) and Tett and Meyer (1993). These positive linkages between organizational commitment and desirable organizational outcomes may be due to the findings by Hrebiniak and Alutto (1972) as well as Angle and Perry (1983) that organizational commitment is considered to be the result of an individual-organization relationship, where individuals attach themselves to the organization in return for certain valued rewards or payments from the organization. Hence, it is likely that job satisfaction is a dominant factor influencing organizational commitment of employees. Overall the historical disconnect between the business line and the IT department is a key contributor to job dissatisfaction among software developers and consequently to turnover intentions(McEachern,2001).Rapid obsolescence of acquired knowledge

and skills that

characterizes IT has contributed to a mind set in which changing jobs frequently viewed as a professional asset as opposed to a stigma or liability(Hacker,2003). Several sources emphasize that even with generous financial rewards; IT employees are likely to be dissatisfied in a work environment that stifles creativity and fails to respect their professional expertise (Fisher, 2000; Rouse, 2001; Thatcher, 2002). Guimares and Igbaria (1992) found that for information systems the most powerful predictors of turnover intention s were organizational commitment, overall job satisfaction, role dynamics and employee age and tenure. A study conducted to find out how the cross strait employees in Taiwan and Mainland China affect human resource management on organizational commitment and organizational citizenship behaviour found that age significantly influence organizational commitment and selection and retention have significance for the value commitment and retention commitment (Chen,H.R;Liu.y;Cheng,B.W;Chiu H.C,2009).

A study conducted to identify the important motivational factors for professionals in Greek hospitals (2009) found that Hospital employees report being motivated more by intrinsic factors, implying that these should be a target of effective employee motivation. Furthermore, existing individual differences should be a concern in the manager's motivational agenda, despite this indeed being sometimes unfeasible. The next best thing is strategies for specific demographic and professional subgroups, exploiting empirical information from studies such as the present. The problems and solutions to motivation issues can be complex, and thus research and the timeless theories of Maslow, Herzberg and others (despite not ever having received empirical support from research) can offer ideas and solutions to motivation problems. Motivation is not observed directly. “Motivation is an internal state that causes people to behave in a particular way to accomplish particular goals and purposes. It is possible to observe the outward manifestations of motivation but not motivation itself” (Denhardt et al., 2008,). For instance, the acquisition of money may be an extrinsic motivator, but it is simply the manifestation of the internal drive to meet intrinsic needs like purchasing food, paying rent for shelter, or acquiring high social status. Motivation is different from satisfaction. “Put simply, satisfaction is past oriented, whereas motivation is future oriented” (Denhardt et al., 2008, p. 147). Motivation is not directly controllable. “Motivation is not something that people do to others. Motivation occurs within people’s minds and hearts. Managers can influence the motivational process, but they cannot control it” (Denhardt et al., 2008, p. 148). While a worker may be very satisfied by the compensation of their job, there are countless instances where these workers are not entirely motivated to continue doing what they can (Igalens & Roussel, 1999). In North Vietnam a study was conducted to identify the motivating factors among rural health workers by Marjolein Dieleman; Pham Viet Cuong; Le Vu Anh; Tim Martineau (2003). The study showed that motivation is influenced by both financial and non-financial incentives. The main motivating factors for health workers were appreciation by managers, colleagues and the community, a stable job and income and training. The main discouraging factors were related to low salaries and difficult working conditions.

Research on work motivation confirms that it improves workers' performance and satisfaction. For example, Brown and Shepherd (1997) examine the characteristics of the work of teacher-librarians in four major categories: knowledge base, technical skills, values, and beliefs. He reports that they will succeed in meeting this challenge only if they are motivated by deeply-held values and beliefs regarding the development of a shared vision. Jayarantne, Vinokur, and Chess (1994) examine agency-influenced work and employment conditions, and assess their impact on social workers' job satisfaction. Some motivational issues were salary, fringe benefits, job security, physical surroundings, and safety. Certain environmental and motivational factors are predictors of job satisfaction. While Colvin (1998) shows that financial incentives will get people to do more of what they are doing, Silverthrone (1996) investigates motivation and managerial styles in the private and public sector. The results indicate that there is a little difference between the motivational needs of public and private sector employees, managers, and non-managers. Motivation is not always conscious. Unconscious motivation is quite central to Sigmund Freud’s theories of human behaviour. Freud posits that most human behaviour is the result of unconscious repressed memories, impulses, and desires that influence and drive many human behaviours (Freud, 1976). A manifestation of this idea is the “Freudian slip” where an accidental word slip actually betrays true internal feelings and intentions. Content theories are centered around the assumption that individuals all share a similar set of human needs and that we are all motivated to satisfy those needs (e.g., Maslow, 1946; McGregor, 1957; Herzberg, 1968; Alderfer, 1969; McClelland, 1988). Process theories are centered around the rational cognitive process and say that while most people may have similar needs, the importance and placement of those needs is different for everyone; that it is something highly subjective (e.g., Skinner, 1935; Festinger, 1957; Adams, 1963; Vroom, 1967; Porter & Lawler, 1968; Kahler, 1975; Locke et al., 1990) Motivation is a very important part of understanding behaviour. Luthan (1998) asserts that motivation should not be thought of as the only explanation of behaviour, since it interacts with and acts in conjunction with other mediating processes and with the environment. Luthan stress that, like the other cognitive process, motivation cannot be seen. All that can be seen is behaviour, and this should not be equated with causes of behaviour. While recognizing the central role of motivation, Evans (1998) states that many recent theories of organizational behaviour find it important for the field to re-emphasize behaviour. The key to understanding

the process of motivation lies in the meaning of, and relationship among, needs, drives, and incentives. Relative to this, Minner, Ebrahimi, and Watchel, (1995) state that in a system sense, motivation consists of these three interacting and interdependent elements, i.e., needs, drives, and incentives. According to the study conducted by Buckingham and Coffman(1999), to build commitment, managers must communicate with employees; assess their capacity to engage in various initiatives; give honest feedback; develop their strengths; identify their ‘blind-spots’; make decisions; and most of all, value each person’s unique style and capabilities . Management researchers have long believe that organizational goals are unattainable without the enduring commitment of members of the organizations. Motivation is a human psychological characteristic that contributes to a person's degree of commitment (Stoke, 1999). It includes the factors that cause, channel, and sustain human behaviour in a particular committed direction. Stoke, in Adeyemo (1999) goes on to say that there are basic assumptions of motivation practices by managers which must be understood. First, that motivation is commonly assumed to be a good thing. One cannot feel very good about oneself if one is not motivated. Second, motivation is one of several factors that go into a person's performance. Factors such as ability, resources, and conditions under which one performs are also important. Third, managers and researchers alike assume that motivation is in short supply and in need of periodic replenishment. Fourth, motivation is a tool with which managers can use in organizations. If managers know what drives the people working for them, they can tailor job assignments and rewards to what makes these people "tick." Motivation can also be conceived of as whatever it takes to encourage workers to perform by fulfilling or appealing to their needs. To Olajide (2000), "it is goal-directed, and therefore cannot be outside the goals of any organization whether public, private, or non-profit". 2.3 OVERVIEW In IT sector high turnover is not an inevitable consequence of the technology field, but a problem that can be successfully addressed by understanding root causes and adopting HR strategies that can improve commitment, satisfaction and motivation among employees. Thus with the review of literature, it becomes evident that though a lot of studies are conducted separately on commitment, satisfaction and motivation but very few studies are there on IT sector linking these three .So it is crucial to conduct a study on job satisfaction and

organizational commitment in information technology industry and also to identify the important motivating factors to retain the highly talented workforce.

CHAPTER 111 RESEARCH METHODOLOGY

CHAPTER 111 RESEARCH METHODOLOGY

3.1 INTRODUCTION Job Satisfaction can be an important indicator of how employees feel about their jobs and a predictor of work behaviours .Although several studies are done in the field of organizational commitment for almost four decades; few studies have involved software professionals. A study in India reveals that HRM practices such as employee-friendly work environment, career development, development oriented appraisal, and comprehensive training show a significant positive relationship with organizational commitment. This study examines the organizational commitment, what motivates the employees involved in the software industry in India, their level of job satisfaction and the influence of job satisfaction on organizational commitment. 3.2 STATEMENT OF THE PROBLEM Organizational commitment and Job satisfaction -A study of employees in the Information Technology industry in Bangalore, India. 3.3 OPERATIONAL DEFINITIONS 3.3.1 Organizational Commitment The current study based on the Three-Component Model (TCM) of commitment (Meyer & Allen, 1991;1997), the TCM Employee Commitment Survey measures three forms of employee commitment to an organization: desire-based (affective commitment), obligationbased (normative commitment) and cost-based (continuance commitment). Research conducted to test the three-component model of commitment has demonstrated that commitment can be characterized by different mindsets – desire, obligation, and cost (Meyer & Allen, 1991, 1997). Employees with a strong affective commitment (high ACS scores) stay because they want to, those with strong normative commitment (high NCS scores) stay because they feel they ought to, and those with strong continuance commitment (high CCS scores) stay because they have to do so. Affective Commitment: Affective Commitment is defined as the employee's positive emotional attachment to the organization. An employee who is affectively committed strongly

identifies with the goals of the organization and desires to remain a part of the organization. This employee commits to the organization because he/she "wants to". In developing this concept, Meyer and Allen drew largely on Mowday, Porter, and Steers's (1982) concept of commitment, which in turn drew on earlier work by Kanter (1968). Continuance Commitment: The individual commits to the organization because he/she perceives high costs of losing organizational membership (cf. Becker's 1960 "side bet theory"), including economic costs (such as pension accruals) and social costs (friendship ties with co-workers) that would be incurred. The employee remains a member of the organization because he/she "has to". Normative Commitment: The individual commits to and remains with an organization because of feelings of obligation. These feelings may derive from many sources. For example, the organization may have invested resources in training an employee who then feels a 'moral' obligation to put forth effort on the job and stay with the organization to 'repay the debt.' It may also reflect an internalized norm, developed before the person joins the organization through family or other socialization processes, that one should be loyal to one's organization. The employee stays with the organization because he/she "ought to". 3.32 Job Satisfaction Job satisfaction has been defined as a pleasurable emotional state resulting from the appraisal of one’s job; an affective reaction to one’s job; and an attitude towards one’s job. Weiss (2002) has argued that job satisfaction is an attitude but points out that researchers should clearly distinguish the objects of cognitive evaluation which are affect (emotion), beliefs and behaviours .This definition suggests that we form attitudes towards our jobs by taking into account our feelings, our beliefs, and our behaviours. Job satisfaction can also be defined as either as the overall or general job satisfaction of an employee or as the satisfaction with certain facets of the job such as the work itself ,coworkers,supervision,pay,

working

conditions,

company

policies,

procedures

and

opportunities for promotion(Smith et al.,1969).Based upon these two view points of job satisfaction , it may be measures either as the general or overall satisfaction of an employee with the job or it may be measured as the satisfaction of an employee with the various work facets. For the present study the former view of job satisfaction has adopted.

3.4 VARIABLES UNDER INVESTIGATION Dependent variable-The dependent variable is Organizational Commitment (Affective commitment, Normative commitment and Continuance commitment) Independent Variable- The independent variable in this study is job satisfaction. Demographic Variables-Gender, Age, Experience, Education, Management level and Marital status 3.5 OBJECTIVES OF THE STUDY The main objectives set for the study are 1. To determine organizational commitment of software professionals using the revised Organizational Commitment Scales (Meyer, Allen and Smith 1993) 2. To measure the job satisfaction level of software professionals. 3. Identify the relationship between level of job satisfaction and organizational Commitment. 4. Examine whether the commitment and job satisfaction will differ according to the age level of the employees. 5. Relative ranking of motivating factors using Kovach’s (1999) Ten Job-Related Factors. 3.6 HYPOTHESES The following hypotheses is developed from the objectives H1:

The higher the level of job satisfaction, the greater the level of

commitment. H2: Job satisfaction and commitment will differ according to age of the employees. 3.7 SETTING

Affective

This study focused on the Bangalore

IT industry as Bangalore is also referred to as the

Silicon Valley of India. In India Bangalore has the highest number of software companies. So the current study concentrated on Bangalore IT professionals. 3.8 POPULATION The population for the study was all technical employees in the Information technology Industry in Bangalore city. There are around 1200 IT and ITES organizations operating in India. In these are 250 are multinational companies. There are around 200 IT companies in Bangalore and 160 of these companies have their technology related operations in Bangalore. Research design -The research design which is used in this study is descriptive. 3.9 SAMPLE OF THE STUDY The sample-For the present study data was collected with the help of structured questionnaire from 300 employees working in software industry. The study is concentrated on Bangalore IT industry. The researcher used non probabilistic sampling (purposive sampling) method as sampling design. Samples were selected from 10 top IT multinational companies. Samples were

drawn from three levels of management including entry level, middle level and top

level employees. The pertinent information for the study is collected from both primary and secondary sources. Table 3.1 showing the distribution of the sample according to the age level of employees IT employees based on their age Below 30 years

Number of IT employees based on age 116 Male 71

Percentage 38.7%

Female 45 30-40 yrs

114

Male

67

38%

Female 47 40 yrs and above

70

Male

46

23.3%

Female 24 Total

3.10 PROFILE OF RESPONDENTS

300

100

The respondents selected for the study was drawn from top listed multinational companies in Bangalore. The following table present the profile of respondents. Table 3.2 indicating the frequency and percentage of gender distribution of respondents Gender Male Female Total

Frequency 184 116 300

Percentage 61.3 38.7 100

For the current study there was larger percentage of male (61.3%) than female (38.7%) in the sample. Table 3.3 indicating the frequency and percentage of qualification of respondents. Qualification Graduate Post graduate Professional qualification Total

Frequency 52 84 164 300

Percentage 17.3 28 54.7 100

Most of the respondents had professional qualification (54.7%).Others were graduate (17.3%) and post graduate (28%). Table 3.4 indicating the marital status of respondents Marital status Married Single Others Total

Frequency 182 118 300

Percentage 60.7 39.3 100

For the current study majority of the respondents were married (60.7%), followed by single (39.3%). Table 3.5 indicating frequency and percentage of experience of respondents in the current company Experience in the current company Less than 1 yr

Frequency

Percentage

63

21

1-2 yrs 2-3 yrs 3-4yrs 4-5 yrs 5 yrs and above Total

94 25 38 48 32 300

31.3 8.3 12.7 16 10.7 100

In terms of experience in the current company most of the respondents were working since 12 years(31.3%) followed by <1 year(21%),4-5 years(16%),3-4 years(12.7%),5 yrs and above(10.7%) and least being 2-3 yrs(8.3%). Table 3.6 indicating frequency and percentage of total experience of respondents Total experience

Frequency

Percentage

2 yrs and below 2-5 yrs 5-10yrs 10-15 yrs 15-20yrs Above 20yrs Total

59 94 51 53 35 8 300

19.7 31.3 17 17.7 11.7 2.6 100

In terms of total work experience most of the respondents were in the 2-5 yrs(31.3%),followed by 2 years and below(19.7%),10-15yrs(17.7%),5-10yrs(17%),15-20yrs (11.7%) and least being above 20 years (2.6%).

3.11 THE INSTRUMENTS The independent variable in this study is job satisfaction. The overall Job satisfaction was measured using the 15-item questionnaire developed by Prof.Harold Andrew Patrick in 2009, designed to measure 15 aspects of job. The aspects of overall job satisfaction are job security,interest,opportunity for advancement,appreciation,company policy and management practises, intrinsic aspects of a job,salary,supervision,social aspects of job, working conditions,communication,hours,ease, benefits ,and fair treatment. Responses were collected with the help of 7 point likert scale.

Reliability-Pilot study was conducted to test the reliability .The Cronbachs alpha reliability for the above scale was 0.924. Reliability Statistics Table 3.7 indicating reliability analysis of the Job satisfaction questionnaire Cronbach's Alpha value

Number of items

.924

15

15 item questionnaire

Job security Interest Opportunity for advancement Appreciation Company policy and management practices Intrinsic aspects of job salary supervision Social aspects of job Working conditions Communication Hours Ease Benefits Fair treatment

Scale Mean if Item Deleted 61.23 61.00 62.10 62.33 61.70

Scale Variance if Item Deleted 248.599 263.586 228.300 228.092 248.562

Corrected Item-Total Correlation

Cronbach's Alpha if Item Deleted

.573 .468 .819 .790 .625

.921 .923 .912 .914 .919

61.33 62.43 63.67 60.97 60.90 60.90 62.87 61.10 62.47 62.73

255.264 215.909 238.299 256.861 258.507 261.886 241.154 273.679 219.637 224.823

.498 .877 .752 .638 .601 .513 .544 .161 .869 .836

.923 .910 .915 .920 .921 .923 .923 .928 .910 .912

The dependant variable, organizational commitment was measured using the revised Organizational Commitment Scales (Meyer, Allen and Smith 1993) that is, the Affective Commitment Scale (ACS), the Continuance Commitment Scale (CCS) and the Normative Commitment Scale (NCS) with 24 questions on 7-point Likert scales. The reliability coefficients for the three dimensions of organizational commitment were ACS scales (0.951), CCS scales (0.627), NCS scales (0.796) while the overall reliability coefficient for all the 24 items of organizational commitment was 0.805.

Table 3.8 indicating reliability analysis of the organizational commitment questionnaire Cronbach's Alpha value Affective Commitment Scale Continuance Commitment Scale Normative Commitment Scale

Number of items 0.951 0.627 0.796

8 8 8

. The Kovach ten job-related factors were used to determine what motivates the employees in software industry. The respondents were asked to indicate the degree of importance of the factors and relative ranking according to motivational importance. Table 3.9 indicating reliability analysis of ranking of the motivational factors Motivational Factors interesting work appreciation of work feeling "in on things" job security good wages promotion/growth good working conditions personal loyalty tactful discipline sympathetic help with problems

Mean rank 4.07 4.10 9.47 3.20 2.03 3.07 5.20 7.83 8.83 7.20

3.12 DATA COLLECTION The investigator collected the data from 300 IT employees working with 10 different IT multinational companies. Researcher administered the questionnaire after giving sufficient instruction to the respondents. The confidentiality of the responses was assured to the respondents. After the data collection data was coded for further analysis. 3.13 ANALYSIS The following statistical techniques were used to analyze the data. Descriptive statistics-Frequency, percentage, mean and standard deviation

The Pearson’s correlation coefficients were used to analyze the relationship between each of the job satisfaction facets and organizational commitment. ANOVA and Regression Analysis Friedman test-Kovach’s ten job-related factors were ranked according to the order of importance in motivating the employees. To analyse the data statistical package for social sciences (SPSS) was used. 3.14 CONCLUSION This chapter described the methodology adopted. This study used a descriptive design. The purpose of descriptive surveys, according to Ezeani (1998), is to collect detailed and factual information that describes an existing phenomenon. Data was collected from 300 IT employees working in Bangalore city. The details of the statistical analysis are presented in the next chapter.

CHAPTER 1V STATISTICAL ANALYSIS AND INTERPRETATION OF DATA

CHAPTER IV STATISTICAL ANALYSIS AND INTERPRETATION OF DATA

4.1 INTRODUCTION This chapter covers analysis of the data and interpretation of the results. Data analysis involves uncovering patterns and trends in data set and data interpretation is explaining those patterns and trends. Data was collected from 300 IT employees working with different multinational companies in Bangalore. The SPSS –version 18 was used to analyze the data. The statistical techniques used for the study were ANOVA, Karl Pearson’s correlation coefficient, Friedman test, Regression, mean and standard deviation. The purpose of the study is to determine the organizational commitment and job satisfaction of IT employees, and identify the relationship. 4.2 CHARACTERISTICS AND DISTRIBUTION OF SAMPLE

For the current study sample size was 300.Sample was selected from different multinational IT companies in Bangalore city representing three managerial levels. After collecting the data, it was coded for analysis. Numeric codes were used to convert responses. 4.3DEMOGRAPHIC PROFILE OF THE RESPONDENTS The respondents were a cross-section of three hundred IT professionals with diverse backgrounds. Table 4.1 indicating the frequency and percentage of gender distribution of respondents Gender

Frequency

Male Female Total

Percent

184 116 300

61.3 38.7 100

Valid percent 61.3 38.7 100

Cumulative 61.3 100

For the current study there was larger percentage of male (61.3%) than female (38.7%).

Table 4.2 showing the distribution of the sample according to the age level of employees Age

Frequency

Percent

Valid Percent

Below 30 yrs 30-40yrs 40-50yrs Total

116 114 70 300

38.7 38 23.3 100

38.7 38 23.3 100

Cumulative percent 38.7 76.7 100

In terms of age, 38.7% of the respondents were below 30 years of age, 38.0% of the respondents were in the age group 30 - 40 years, and 23.3% of the respondents were in the age group 40 - 50 years. Table 4.3 indicating the frequency and percentage of qualification of respondents Qualification Graduate Post graduate Professional qualification Others Total

Frequency 52 84 163 1 300

Percent 17.3 28 54.3 .3 100

Valid Percent 17.3 28 54.3 .3 100

Cumulative Percent 17.3 45.3 99.7 100

Most of the respondents had professional qualification (54.7%).Others were graduate (17.3%) and post graduate (28%). Table 4.4 indicating the marital status of respondents Marital Status

Frequency

Percent

Valid Percent

Married Single Total

182 118 300

60.7 39.3 100

60.7 39.3 100

Cumulative percent 60.7 100

For the current study majority of the respondents were married (60.7%), followed by single (39.3%).

Table 4.5 indicating frequency and percentage of experience of respondents in the current company Experience in the current company 1-2yrs 2-3yrs 3-4yrs 4-5yrs 5-6yrs 6+ Total

Frequency

Percent

Valid Percent

Cumulative Percent

63 94 25 38 48 32 300

21.0 31.3 8.3 12.7 16.0 10.7 100

21.0 31.3 8.3 12.7 16.0 10.7 100

21.0 52.3 60.7 73.3 89.3 100

In terms of experience in the current company most of the respondents were working since 23 years(31.3%) followed by 1-2 year(21%),5-6 years(16%),4-5 years(12.7%),6 yrs and above(10.7%) and least being 3-4 yrs(8.3%). Table 4.6 indicating frequency and percentage of total experience of respondents Total experience 2 yrs and below

Frequency

Percent

Valid percent

Cumulative percent

59

19.7

19.7

19.7

2-5 yrs 5-10yrs 10-15 yrs 15-20yrs Above 20yrs Total

94 51 53 35 8 300

31.3 17 17.7 11.7 2.6 100

31.3 17 17.7 11.7 2.6 100

51.0 68.0 85.7 97.4 100

In terms of total work experience most of the respondents were in the 2-5 yrs(31.3%),followed by 2 years and below(19.7%),10-15yrs(17.7%),5-10yrs(17%),15-20yrs (11.7%) and least being above 20 years (2.6%). Table 4.7 indicating the frequency and percentage of size of the organization Size of the Organization >1000 employees

Frequency

Percent

Valid percent

300

100

100

Cumulative percent 100

In terms of size of the organization, all the respondents were from organizations with one thousand or more employees. Table 4.8 indicating frequency and percentage of different managerial levels Management level Entry level Middle level Senior level Total

Frequency

Percent

Valid percent

152 69 79 300

50.7 23.0 26.3 100

50.7 23.7 26.3 100

Cumulative percent 50.7 73.7 100.0

In terms of management level, 50.7% of the respondents were at entry-level, 23.0% of the respondents were at middle-level, and 26.3% were at senior-level. 4.4 DESCRIPTIVE STATISTICS 4.4.1 Affective Commitment Table 4.9 indicating the mean and standard deviation for Affective commitment Mean

3.7508

Standard deviation Percentiles 25 50 75

1.26335 2.6250 3.3750 5.0000

The level of affective commitment varied in the range 2.00 - 6.00, with two clusters, one in the range 2.00 - 4.00, representing low affective commitment, and another in the range 4.00 6.00, representing high affective commitment.

Histogram

40

Frequency

30

20

10

Mean =3.7508 Std. Dev. =1.26335 N =300

0 0.00

2.00

4.00

6.00

8.00

AFFECTIVE COMMITMENT

4.4.2Continuance Commitment Table 4.10 indicating the mean and standard deviation for Continuance commitment Mean Standard deviation Percentiles 25 50 75

4.0054 .66946 3.5000 4.0000 4.5000

The level of continuance commitment was moderate for IT employees, varying in the range 3.00 - 5.00.

Histogram

40

Frequency

30

20

10

Mean =4.0054 Std. Dev. =0.66946 N =300

0 2.00

4.00

6.00

CONTINUANCE COMMITMENT

4.4.3Normative Commitment Table 4.11 indicating the mean and standard deviation for Normative Commitment

Mean Standard deviation Percentiles 25 50 75

3.4175 .51985 3.1250 3.3125 3.7500

The level of normative commitment was moderate for technical employees working in IT companies, varying in the range 2.50 - 5.00.

Histogram

50

Frequency

40

30

20

10

Mean =3.4175 Std. Dev. =0.51985 N =300

0 2.00

2.50

3.00

3.50

4.00

4.50

5.00

5.50

NORMATIVE COMMITMENT

4.4.4 Organizational Commitment Table 4.12 indicating the mean and standard deviation for Organizational Commitment

Continuance Commitment Affective Commitment Normative Commitment

Mean

Standard Deviation

4.0054 3.7508 3.4175

.66946 1.26335 .51985

The level of organizational commitment was moderate, with relatively higher variability in affective commitment. Mean value was highest for Continuance commitment indicating employees are staying back with the organization because of the cost of leaving the organisation or it’s too much trouble to go somewhere else.

4.4.5 Job Satisfaction Table 4.13 indicating the mean and standard deviation for Job satisfaction

Social aspects of job Working conditions(excluding hours) Intrinsic Aspects of job(excluding ease) Interest(from intrinsic aspect of job) Job security Communication Ease(from intrinsic aspect of job) Benefits Company policy and management practises Opportunity for advancement Fair treatment Salary Appreciation(from management) Supervision Hours(from working conditions)

Mean

Standard deviation

5.57 5.46 5.42 5.33 5.33 5.11 5.10 4.47 4.39 4.30 4.01 3.97 3.74 3.25 2.69

.895 1.070 .980 .919 1.127 .982 .939 1.665 1.305 1.480 1.543 2.086 1.506 1.590 1.403

Amongst the items comprising the scale for job satisfaction, the items with highest satisfaction levels were related to the social aspects of the job, working conditions (excluding working hours), interest (from intrinsic aspects of the job), job security, communication, and ease of the job (as an intrinsic aspect of the job). On the other hand, employees had lowest satisfaction levels for working hours, supervision, appreciation from management, and salary.

Table 4.14 indicating the mean and standard deviation for overall Job Satisfaction Mean Standard deviation Percentiles 25 50 75

4.5422 .77886 4.0000 4.5667 5.1833

Histogram

60

Frequency

50

40

30

20

10

Mean =4.5422 Std. Dev. =0.77886 N =300

0 0.00

2.00

4.00

6.00

8.00

JOB SATISFACTION

The level of job satisfaction was moderate, varying in the range 2.50 - 5.50, peaking near

5.00. 4.4.6 Motivational Factors

Table 4.15 indicating Friedman’s mean rank test for motivational factors of IT employees Motivational Factors

Mean Rank

Interesting work Appreciation of work Feeling “in on things” Job security Good wages Promotion /growth Good working conditions Personal loyalty

4.17 4.50 9.27 3.48 1.53 2.01 5.59 7.74

Tactful discipline Sympathetic help with problems

9.30 7.41

Test Statistics N Chi-Square df Asymp.sig.

300 2361.009 9 .000

a. Friedman test There was significant difference in importance of different motivational factors. The most important motivational factors were good wages, promotion/growth, job security, interesting work, and appreciation of work. 4.5 DIFFERENCE BETWEEN THE GROUPS-ANOVA Organizational Commitment Report

Affective commitment Continuance commitment Normative commitment

Mean Std.Deviation Mean Std.Deviation Mean Std.Deviation

Gender Men 3.7582 1.27948 4.0258 .67373 3.4552 .57663

Women 3.7392 1.24276 3.9731 .66427 3.3578 .57663

Total 3.7508 1.26335 4.0054 .66946 3.4175 .51985

Table 4.16 indicating ANOVA for Organizational commitment and gender

Affective Commitment Gender

Between the groups Within groups

Sum of df Squares .025 1 477.19 29

Mean Square .025 1.601

F

Sig.

.016

.900

Total Continuance Commitment Between the groups Gender Within groups Total Normative Commitment Gender

Between the groups Within groups Total

3 477.21 9 .198 133.80 9 134.00 7 .675 80.127 80.802

8 29 9 1 29 8 29 9 1 29 8 29 9

.198 .449

.441

.507

.675 .269

2.51 0

.114

There was no significant difference in organizational commitment between men and women IT professionals. Hypothesis- H2: Job satisfaction and commitment will differ according to age of the Employees. Report

Affective commitment Continuance commitment Normative commitment

Mean Std.Deviation Mean Std.Deviation Mean Std.Deviation

Age 30-40yrs 40-50yrs Total 4.1941 4.9196 3.7508 1.19828 .55781 1.26335 3.4441 4.6446 4.0054 .47244 .45625 .66946 3.5702 3.6661 3.4175 .50222 .44064 .51985

<30yrs 2.6099 .46132 4.1713 .48188 3.1175 .43216

Table 4.17 indicating ANOVA for Organizational commitment and Age

Affective Commitment Age

Between the groups Within groups Total

Continuance Commitment Between the groups Age Within groups Total

Sum of Squares 269.02 2 208.19 6 477.21 9 67.718 66.289 134.00

df 2 29 7 29 9 2 29 7

Mean F Square 134.511 191.88 .701 5

Sig.

33.859 .223

.000

151.69 9

.000

7 Normative Commitment Age

Between the groups Within groups Total

17.425 63.376 80.802

29 9 2 29 7 29 9

8.713 .213

40.830

.000

There was significant difference in organizational commitment between age groups. Organizational commitment was highest for IT professionals in the 40 - 50 yr. age group. In particular, continuance commitment was lowest for IT professionals in the 30 - 40 yr. age group.

Report

Graduate Affective Commitment

Mean Std.Deviatio

n Continuance Commitment Mean Std.Deviatio n Normative Commitment Mean Std.Deviation

Qualification Professional qualification 3.8282 1.25347

3.3798 1.25391

Post graduate 3.8452 1.26134

Others

Total

2.5000

3.7508 1.2633

4.1611 .69985

4.1146 .61213

3.8972 .67414

4.3750

4.0054 .66946

3.4351 .66027

3.3973 .47496

3.4210 .49534

3.6250

3.4175 .51985

Table 4.18 indicating ANOVA for Organizational commitment and Qualification

Affective Commitment Qualification

Between the groups Within groups Total

Sum of Squares 10.448 466.771 477.219

df 3 29 6

Mean Square 3.483 1.577

F

Sig.

2.20 8

.087

Continuance Commitment Between the groups Qualification Within groups Total

4.305 129.702 134.007

Normative Commitment Qualification

.095 80.707 80.802

Between the groups Within groups Total

29 9 3 29 6 29 9 3 29 6 29 9

1.435 .438

3.27 5

.021

.032 .273

.117

.950

There was significant difference in continuance commitment between IT professionals with different qualifications. Continuance commitment was lowest for those with professional qualifications. There was no significant difference in affective commitment and in normative commitment between qualifications. Report

Affective commitment Continuance commitment Normative commitment

Mean Std.Deviation Mean Std.Deviation Mean Std.Deviation

Marital Status Married Single 4.1813 3.0869 1.20108 1.05555 4.0144 3.9915 .77750 .45811 3.4938 3.2998 .46256 .58015

Total 3.7508 1.26335 4.0054 .66946 3.4175 .51985

Table 4.19 indicating ANOVA for Organizational commitment and Marital Status

Affective Commitment Marital Status

Between the groups Within groups Total

Continuance Commitment Between the groups Marital Status Within groups Total Normative Commitment

Between the groups

Sum of Squares 85.749 391.47 0 477.21 9 .038 133.96 9 134.00 7 2.695

df 1 29 8 29 9 1 29 8 29 9 1

Mean Square 85.749 1.314

F

Sig.

65.27 5

.000

.038 .450

.083

.773

2.695

10.28

..001

Marital Status

Within groups Total

78.107 80.802

29 8 29 9

.262

3

There was significant difference in affective commitment and in normative commitment between married and single IT professionals. Both affective commitment and normative commitment were significantly lower for single IT professionals. There was no significant difference in continuance commitment between married and single IT professionals. Report Years in present position 3-4 4-5 5-6

1-2

2-3

6+

Total

Mean Std.Deviation

2.7718 .66620

3.0027 .98646

4.1100 1.22598

4.2467 1.00147

4.9297 .47749

5.2383 .62810

Continuance Commitment Mean Std.Deviation Normative Commitment Mean Std.Deviation

4.0496 .43738 3.1210 .40033

3.9441 .56100 3.2832 .58406

3.6550 .64477 3.7050 .38676

4.0757 .86678 3.6250 .36646

4.4349 .64412 3.6589 .45527

3.6445 .77973 3.5625 .45570

3.7508 1.2633 5 4.0054 .66946 3.4175 .51985

Affective Commitment

Table 4.20 indicating ANOVA for Organizational commitment and Years in present Position

Between the groups Within groups Total

Sum of Squares 263.075 214.143 477.219

Continuance Commitment Between the groups Years in present position Within groups Total

16.754 117.252 134.007

Normative Commitment Years in present position

14.403 66.399 80.802

Affective Commitment Years in present position

Between the groups Within groups Total

df 5 29 4 29 9 5 29 4 29 9 5 29 4 29 9

Mean Square 52.615 .728

F

Sig.

72.23 6

.000

3.351 .399

8.402

.000

2.881 .226

12.75 5

.000

There was significant difference in organizational commitment based on years in the current position. Affective commitment increased with years in the current position. Continuance

commitment varied considerably with years in current position, and was lowest for IT professionals in their present position for six years or more. Normative commitment also varied considerably with years in current position and was highest for professionals in their position for 3-4 yrs.

Report Overall work experience 5-10 10-15 15-20

2 yrs and below

2-5

Mean Std.Deviation

2.6102 .41980

2.9215 .87490

4.1863 .99699

5.1274 .64043

Continuance Commitment Mean Std.Deviation Normative Commitment Mean Std.Deviation

4.1377 .45111 3.0572 .33261

4.0013 .56781 3.3497 .59894

3.4387 .52343 3.4828 .44442

3.9505 .80352 3.6557 .38128

Affective Commitment

20+

Total

4.8179 .58027

5.3438 .48985

4.6250 .55984 3.6500 .41102

4.3438 .58152 3.8594 .66291

3.7508 1.2633 5 4.0054 .66946 3.4175 .51985

Table 4.21 indicating ANOVA for Organizational commitment and Overall work experience

Affective Commitment groups Overall work experience

Between the Within groups Total

Sum of Squares 311.655 165.563 477.219

Continuance Commitment Between the groups Overall work experience Within groups Total

31.924 102.083 134.007

Normative Commitment Overall work experience

14.769 66.033 80.802

Between the groups Within groups Total

df 5 29 4 29 9 5 29 4 29 9 5 29 4 29 9

Mean Square 62.331 .563

F

Sig.

6.385 .347

18.388

.000

2.954 .225

13.151

.000

110.685 .000

There was significant difference in organizational commitment based on overall work experience. Affective commitment generally increased with overall work experience. Continuance commitment varied considerably with overall work experience, and was lowest for IT professionals with overall work experience of 5 -10 yrs. and 10 - 15 yrs. Normative commitment generally increased with overall work experience. Report

Affective commitment Continuance commitment Normative commitment

Mean Std.Deviation Mean Std.Deviation Mean Std.Deviation

Management Level Entry Middle 2.6686 4.7065 .48150 .85126 4.0313 3.4438 .54917 .50800 3.1480 3.7283 .38263 .56513

Senior 4.9984 .60893 4.4462 .65739 3.6646 .43048

Total 3.7508 1.26335 4.0054 .66946 3.4175 .51985

Table 4.22 indicating ANOVA for Organizational commitment and Management level

Affective Commitment Management level

Between the groups Within groups Total

Continuance Commitment Between the groups Management level Within groups Total Normative Commitment Management level

Between the groups Within groups Total

Sum of Squares 364.01 3 113.206 477.21 9 37.211 96.796 134.00 7 22.523 58.279 80.802

df 2 29 7 29 9 2 29 7 29 9 2 29 7 29 9

Mean Square 182.00 6 .381

F

Sig.

477.50 2

.000

18.605 .326

57.087

.000

11.262 .196

57.391

..000

There was significant difference in organizational commitment based on management level. Affective commitment was highest for senior-level IT professionals. Continuance

commitment was highest for senior-level, and lowest for middle-level IT professionals. Normative commitment was highest for middle- and senior-level IT professionals.

4.6 DIFFERENCE BETWEEN THE GROUPS-JOB SATISFACTION Report Job Satisfaction Gender

Mean

Std.Deviation

Men Women Total

4.5261 4.5678 4.5422

.81339 .72341 .77886

Table 4.23 indicating ANOVA for Job satisfaction and gender

Job Satisfaction Gender

Between the groups Within groups Total

Sum of Squares .124 181.25 7 181.38 1

df 1 29 8 29 9

Mean Square .124 .608

F

Sig.

.204

.652

There was no significant difference in job satisfaction between men and women IT professionals. Report Job Satisfaction Age

Mean

Std.Deviation

Below 30 yrs 30-40yrs 40-50yrs

3.8713 4.8655 5.1276

.60393 .64823 .23556

Total

4.5422

.77886

Table 4.24 indicating ANOVA for Job satisfaction and Age

Job Satisfaction Age

Between the groups Within groups Total

Sum of Squares 88.123 93.257 181.38 1

df 2 29 7 29 9

Mean Square 44.062 .314

F

Sig.

140.32 5

.000

There was significant difference in job satisfaction between IT professionals in different age groups. Job satisfaction generally increased with age. Report Job Satisfaction Qualification

Mean

Std.Deviation

Graduate Post graduate Professional qualification

4.3218 4.6135 4.5800

1.02430 .71868 .70868

Others

3.8667

-

4.5422

.77886

Total

Table 4.25 indicating ANOVA for Job satisfaction and Qualification

Job Satisfaction Qualification

Between the groups Within groups Total

Sum of Squares 3.642 177.73 9 181.38 1

df 3 29 6 29 9

Mean Square 1.214 .600

F

Sig.

2.02 2

.111

There was no significant difference in job satisfaction between IT professionals based on qualifications. Report Job Satisfaction Marital Status

Mean

Std.Deviation

Married Single Total

4.7689 4.1927 4.5422

.59890 .89008 .77886

Table 4.26 indicating ANOVA for Job satisfaction and Marital Status

Job Satisfaction Marital Status

Between the groups Within groups Total

Sum of Squares 23.768 157.61 3 181.38 1

df 1 29 8 29 9

Mean Square 23.768 .529

F

Sig.

44.93 8

.000

There was significant difference in job satisfaction between married and single IT professionals. Married IT professionals were generally more satisfied than single IT professionals. Report Job Satisfaction Years in present position

Mean

Std.Deviation

1-2yrs

3.9894

.64148

2-3yrs 3-4yrs

4.2121 4.9520

.77832 .69563

4-5yrs

4.7702

.65791

5-6yrs

5.0750

.29451

6+

5.2104

.36987

Total

4.5422

.77886

Table 4.27 indicating ANOVA for Job satisfaction and Years in Present position

Job Satisfaction Years in present position

Between the groups Within groups Total

Sum of Squares 63.584 117.797 181.38

df 5 29 4

Mean Square 12.717 .401

F

Sig.

31.73 9

.000

1

29 9

There was significant difference in job satisfaction between IT professionals based on years in the current position. Job satisfaction generally increased with years in current position. Report Job Satisfaction Overall work Experience

Mean

Std.Deviation

2 Yrs and below

3.8994

.36291

2-5yrs 5-10yrs

4.1213 4.8850

.81702 .57008

10-15yrs

5.2616

.34514

15-20yrs

4.9810

.25595

20yrs and above

5.3583

.25927

Total

4.5422

.77886

Table 4.28 indicating ANOVA for Job satisfaction and Overall work experience

Job Satisfaction Overall work experience

Between the groups Within groups Total

Sum of Squares 86.521 94.860 181.38 1

df 5 29 4 29 9

Mean Square 17.304 .323

F

Sig.

53.63 1

.000

There was significant difference in job satisfaction between IT professionals based on overall work experience. Job satisfaction generally increased with overall work experience. Report Job Satisfaction Management Level Entry level

Mean

Std.Deviation

3.9412

.54894

Middle level Senior level Total

5.1739 5.1468

.50633 .30239

4.5422

.77886

Table 4.29 indicating ANOVA for Job satisfaction and Management level

Job Satisfaction Management level

Between the groups Within groups Total

Sum of Squares 111.314 70.067 181.38 1

df 2 29 7 29 9

Mean Square 55.657 .236

F

Sig.

235.91 9

.000

There was significant difference in job satisfaction between IT professionals at different levels of management. Job satisfaction was lower at entry-level than at middle- and senior-level of management.

4.7 DIFFERENCE BETWEEN THE GROUPS-MOTIVATION Table 4.30 indicating Motivation and Gender Mean Mean

MF1. Interesting work MF2. Appreciation of work MF3. Feeling "in on things" MF4. Job security MF5. Good wages MF6. Promotion/growth MF7. Good working conditions MF8. Personal loyalty MF9. Tactful discipline MF10. Sympathetic help with problems

men 4.22 4.45 9.24 3.38 1.54 2.14 5.53 7.77 9.27 7.41

Gender women 4.06 4.54 9.30 3.61 1.52 1.79 5.66 7.70 9.35 7.42

Total 4.16 4.49 9.27 3.47 1.53 2.01 5.58 7.74 9.30 7.41

There was no difference between men and women IT professionals in the importance of different motivational factors.

Table 4.31 indicating Mean for Motivation and Age

Mean

MF1. Interesting work MF2. Appreciation of work MF3. Feeling "in on things" MF4. Job security MF5. Good wages MF6. Promotion/growth MF7. Good working conditions MF8. Personal loyalty MF9. Tactful discipline MF10. Sympathetic help with problems

below 30 yrs. 4.43 4.56 9.22 3.20 1.41 2.00 5.76 7.59 9.52 7.32

Age 30 - 40 yrs. 40 - 50 yrs. 4.14 3.74 4.34 4.60 9.26 9.34 3.60 3.70 1.68 1.49 2.18 1.74 5.19 5.91 8.24 7.20 8.93 9.56 7.33 7.70

Total 4.16 4.49 9.27 3.47 1.53 2.01 5.58 7.74 9.30 7.41

There was no difference between IT professionals in different age groups in the importance of different motivational factors. Table 4.32 indicating Mean for Motivation and Qualification.

Mean

MF1. Interesting work MF2. Appreciation of work MF3. Feeling "in on things" MF4. Job security MF5. Good wages MF6. Promotion/growth MF7. Good working conditions MF8. Personal loyalty MF9. Tactful discipline MF10. Sympathetic help with problems

graduate 3.79 4.85 9.40 3.42 1.56 2.52 5.58 7.69 9.00 7.19

Qualification professional post-graduate qualification 4.36 4.18 4.58 4.32 9.30 9.21 3.42 3.51 1.60 1.48 1.94 1.88 5.30 5.72 7.74 7.75 9.37 9.36 7.39 7.50

others 4.00 5.00 8.00 3.00 2.00 1.00 6.00 9.00 10.00 7.00

There was no difference between IT professionals with different qualifications in the importance of different motivational factors.

Total 4.16 4.49 9.27 3.47 1.53 2.01 5.58 7.74 9.30 7.41

Table 4.33 indicating Mean for Motivation and Marital Status

Mean married 4.07 4.48 9.33 3.55 1.58 1.95 5.46 7.76 9.28 7.46

MF1. Interesting work MF2. Appreciation of work MF3. Feeling "in on things" MF4. Job security MF5. Good wages MF6. Promotion/growth MF7. Good working conditions MF8. Personal loyalty MF9. Tactful discipline MF10. Sympathetic help with problems

Maritial Status single 4.30 4.49 9.17 3.33 1.46 2.10 5.76 7.71 9.34 7.34

Total 4.16 4.49 9.27 3.47 1.53 2.01 5.58 7.74 9.30 7.41

There was no difference between married and single IT professionals in the importance of different motivational factors. Table 4.34 indicating Mean for Motivation and Years in present Position Mean 1 MF1. Interesting work MF2. Appreciation of work MF3. Feeling "in on things" MF4. Job security MF5. Good wages MF6. Promotion/growth MF7. Good working conditions MF8. Personal loyalty MF9. Tactful discipline MF10. Sympathetic help with problems

2 4.49 4.32 9.16 3.37 1.30 1.98 5.70 7.56 9.70 7.43

3 4.33 4.70 9.44 3.13 1.46 2.24 5.45 7.66 9.21 7.36

Years in Present Position 4 5 3.96 4.21 3.56 4.68 4.34 4.33 9.08 9.21 9.23 3.64 3.89 3.81 1.64 1.63 1.65 2.08 1.79 1.94 5.28 5.61 5.65 8.32 7.87 7.46 9.04 8.95 9.52 7.36 7.50 7.58

6+ 4.00 4.44 9.25 3.50 1.81 1.66 5.84 8.19 9.09 7.22

Total 4.16 4.49 9.27 3.47 1.53 2.01 5.58 7.74 9.30 7.41

There was difference between IT professionals based on years in the current position in the importance of different motivational factors. Promotion/growth was more important than salary for IT professionals in their present position for six years or more. Table 4.35 indicating Mean for Motivation and overall work experience

Mean Overall Work Experience 2 yrs. and below MF1. Interesting work 4.61 MF2. Appreciation of work 4.46 MF3. Feeling "in on things" 9.29 MF4. Job security 3.15 MF5. Good wages 1.27 MF6. Promotion/growth 1.83 MF7. Good working conditions 5.88 MF8. Personal loyalty 7.47 MF9. Tactful discipline 9.58 MF10. Sympathetic help with problems 7.46

2 - 5 yrs. 4.03 4.55 9.22 3.43 1.49 2.40 5.49 7.71 9.30 7.38

5 - 10 yrs. 4.20 4.20 9.29 3.73 1.73 2.20 5.02 8.41 8.76 7.18

10 - 15 yrs. 4.17 4.55 9.26 3.43 1.66 1.57 5.81 7.89 9.43 7.26

15 - 20 yrs. 3.97 4.83 9.20 3.49 1.46 1.54 5.91 7.23 9.51 7.83

20 yrs. and above 2.88 3.88 9.75 4.75 2.13 2.38 5.00 7.13 9.00 8.13

Total 4.16 4.49 9.27 3.47 1.53 2.01 5.58 7.74 9.30 7.41

There was difference between IT professionals based on overall work experience in the importance of different motivational factors. Job security was less important than interesting work and appreciation of work for IT professionals with twenty or more years of overall work experience.

Table 4.36 indicating Mean for Motivation and Management level Mean

MF1. Interesting work MF2. Appreciation of work MF3. Feeling "in on things" MF4. Job security MF5. Good wages MF6. Promotion/growth MF7. Good working conditions MF8. Personal loyalty MF9. Tactful discipline MF10. Sympathetic help with problems

entry level 4.44 4.57 9.24 3.40 1.38 1.95 5.54 7.71 9.41 7.34

Management Level middle level senior 3.90 4.23 9.26 3.38 1.86 2.48 5.35 8.26 8.87 7.28

level 3.85 4.56 9.32 3.67 1.53 1.71 5.86 7.35 9.47 7.67

Total 4.16 4.49 9.27 3.47 1.53 2.01 5.58 7.74 9.30 7.41

There was no difference between IT professionals at different levels of management in the importance of different motivational factors. 4.8 CORRELATION ANALYSIS HYPOTHESIS

H1: The higher the level of job satisfaction, the greater the level of Affective commitment.

Table 4.37 indicating Pearson correlation between Job satisfaction and Organizational commitment

Correlations

AFFECTIVE COMMITMENT

Pearson Correlation Sig. (1-tailed) CONTINUANCE COMMITMENT Pearson Correlation Sig. (1-tailed) NORMATIVE COMMITMENT Pearson Correlation Sig. (1-tailed)

AFFECTIVE COMMITMENT 1 -.034 .278 .531** .000

CONTINUANCE COMMITMENT -.034 .278 1 -.073 .102

NORMATIVE COMMITMENT .531** .000 -.073 .102 1

**. Correlation is significant at the 0.01 level (1-tailed).

There was significant positive correlation of job satisfaction with affective commitment and normative commitment, and negative correlation with continuance commitment.

Table 4.38 indicating Pearson correlation between 15 items in Job satisfaction and Affective commitment

Correlations

JS1. Job Security

Pearson Correlation Sig. (1-tailed) JS2. Interest (from intrinsic aspects of job) Pearson Correlation Sig. (1-tailed) JS3. Opportunity for advancement Pearson Correlation Sig. (1-tailed) JS4. Appreciation (from management) Pearson Correlation Sig. (1-tailed) JS5. Company policy and management practices Pearson Correlation Sig. (1-tailed) JS6. Intrinsic aspects of job (excluding ease) Pearson Correlation Sig. (1-tailed) JS7. Salary Pearson Correlation Sig. (1-tailed) JS8. Supervision Pearson Correlation Sig. (1-tailed) JS9. Social aspects of job Pearson Correlation Sig. (1-tailed) JS10. Working conditions (excluding hours) Pearson Correlation Sig. (1-tailed) JS11. Communication Pearson Correlation Sig. (1-tailed) JS12. Hours (from working conditions) Pearson Correlation Sig. (1-tailed) JS13. Ease (from intrinsic aspects of job) Pearson Correlation Sig. (1-tailed) JS14. Benefits Pearson Correlation Sig. (1-tailed) JS15. Fair treatment Pearson Correlation Sig. (1-tailed)

AFFECTIVE COMMITMENT .389 .000 .409 .000 .604 .000 .496 .000 .316 .000 .328 .000 .855 .000 .558 .000 .295 .000 .258 .000 .299 .000 .348 .000 -.008 .446 .787 .000 .700 .000

Amongst the items comprising the scale for job satisfaction, the items with highest correlation with affective commitment were related to the salary, benefits, fair treatment, opportunity for advancement, and supervision. The items with moderate correlation were appreciation (from management),interest (from intrinsic aspects of job),job security and intrinsic aspects of job(excluding ease).The job satisfaction items with lowest correlation were working conditions(excluding hours),social aspects of job, and communication.

4.9 REGRESSION ANALYSIS

Regression of Affective Commitment on Job Satisfaction: Model Summary Model 1

R R Square .819a .670

Adjusted R Square .669

Std. Error of the Estimate .72663

a. Predictors: (Constant), JOB SATISFACTION

ANOVAb Model 1

Regression Residual Total

Sum of Squares 319.878 157.341 477.219

df 1 298 299

Mean Square 319.878 .528

F 605.842

Sig. .000a

a. Predictors: (Constant), JOB SATISFACTION b. Dependent Variable: AFFECTIVE COMMITMENT

Table 4.39 indicating regression of Affective commitment on Job satisfaction

Coefficientsa

Model 1

(Constant) JOB SATISFACTION

Unstandardized Coefficients B Std. Error -2.281 .249 1.328 .054

Standardized Coefficients Beta .819

t -9.175 24.614

Sig. .000 .000

a. Dependent Variable: AFFECTIVE COMMITMENT

Job satisfaction was found to have a significant positive impact on affective commitment, explaining 67.0% of the variation in affective commitment. Thus, when job satisfaction increases, affective commitment would tend to increase with it.

Regression of Normative Commitment on Job Satisfaction:

Model Summary Model 1

R R Square .595a .354

Adjusted R Square .351

Std. Error of the Estimate .41866

a. Predictors: (Constant), JOB SATISFACTION

ANOVAb Model 1

Regression Residual Total

Sum of Squares 28.570 52.232 80.802

df 1 298 299

Mean Square 28.570 .175

F 163.003

Sig. .000a

a. Predictors: (Constant), JOB SATISFACTION b. Dependent Variable: NORMATIVE COMMITMENT

Table 4.40 indicating regression of Normative commitment on Job satisfaction Coefficientsa

Model 1

(Constant) JOB SATISFACTION

Unstandardized Coefficients B Std. Error 1.615 .143 .397 .031

Standardized Coefficients Beta .595

t 11.272 12.767

Sig. .000 .000

a. Dependent Variable: NORMATIVE COMMITMENT

Job satisfaction was found to have a significant positive impact on normative commitment, explaining 35.1% of the variation in normative commitment. Thus, when job satisfaction increases, normative commitment would tend to increase with it, but less so than affective commitment. Regression of Continuance Commitment on Job Satisfaction:

Model Summary Model 1

R R Square .108a .012

Adjusted R Square .008

Std. Error of the Estimate .66669

a. Predictors: (Constant), JOB SATISFACTION

ANOVAb Model 1

Regression Residual Total

Sum of Squares 1.554 132.453 134.007

df 1 298 299

Mean Square 1.554 .444

F 3.497

Sig. .062a

a. Predictors: (Constant), JOB SATISFACTION b. Dependent Variable: CONTINUANCE COMMITMENT

Table 4.41 indicating regression of Continuance commitment on Job satisfaction

Coefficientsa

Model 1

(Constant) JOB SATISFACTION

Unstandardized Coefficients B Std. Error 4.426 .228 -.093 .050

Standardized Coefficients Beta -.108

t 19.401 -1.870

Sig. .000 .062

a. Dependent Variable: CONTINUANCE COMMITMENT

Job satisfaction was not found to have a significant impact on continuance commitment, explaining only 1.2% of the variation in continuance commitment. Thus, when job satisfaction increases, continuance commitment would be expected to slightly decrease with it. In the present chapter the data has been analysed and interpreted. The following chapter will cover the summary, findings, implications and limitations of the study.

CHAPTER V SUMMARY AND CONCLUSION

CHAPTER V SUMMARY AND CONCLUSION 5.1 INTRODUCTION The current study focussed to provide both theoretical and practical contribution to the existing literature by examining the relationship between job satisfaction and organisational commitment of technical employees in Bangalore and to suggest some managerial implications. This chapter is on summary and conclusion .It covers the need for the study, statement of the problem, scope of the study, operational definitions, variables of the study, sampling technique, tools of the study, statistical techniques used, major findings, implications and limitation of the study. 5.2 NEED FOR THE STUDY The integral part of any management process is to manage the people at work. A well managed organisation sees worker as the root cause of quality and productivity .An effective organisation will always promote a sense of commitment and satisfaction among its employees. The significance and importance of the concept of organizational commitment in terms of leading to beneficial organizational and desirable outcomes such as increased effectiveness, reducing absenteeism and turnover, has been documented by many studies such as those of Steers (1977); Porter et al. (1974); Reiches (1985) and Tett and Meyer (1993). In order to make employees satisfied and committed to their jobs there is need for strong and effective motivation at the various levels. One way to address issue of employee turnover is to understand the job satisfaction and commitment level of employees. A lot of studies are conducted separately on commitment, satisfaction and motivation but very few studies are there on IT sector linking these three .So it is crucial to conduct a study on job satisfaction and organizational commitment in information technology industry and also to identify the important motivating factors to retain the highly talented workforce.

5.3 STATEMENT OF THE PROBLEM Organizational commitment and Job satisfaction -A study of employees in the Information Technology industry in Bangalore, India. 5.4 OBJECTIVES OF THE STUDY The main objectives set for the study are 1. To determine organizational commitment of software professionals using the revised Organizational Commitment Scales (Meyer, Allen and Smith 1993) 2. To measure the job satisfaction level of software professionals. 3. Identify the relationship between level of job satisfaction and organizational Commitment. 4. Examine whether the commitment and job satisfaction will differ according to the age level of

the employees.

5. Relative ranking of motivating factors using Kovach’s Ten Job-Related Factors. 5.5 VARIABLES UNDER INVESTIGATION Dependent variable-The dependent variable is Organizational Commitment (Affective commitment, Normative commitment and Continuance commitment) Independent Variable- The independent variable in this study is job satisfaction. Demographic Variables-Gender, Age, Experience, Education, Marital status management level. 5.6 HYPOTHESIS The following hypothesis is developed from the objectives H1:The higher the level of job satisfaction, the greater the level of Affective Commitment.

and

H2: Job satisfaction and commitment will differ according to age of the Employees The hypothesis is tested with different statistical techniques .Pearson’s Correlation analysis, ANOVA, and Regression was used to analyse the collected information. 5.7 POPULATION The population for the study was all technical employees in the Information technology Industry in Bangalore city. There are around 1200 IT and ITES organizations operating in India. In these are 250 are multinational companies. There are around 200 IT companies in Bangalore and 160 of these companies have their technology related operations in Bangalore. Research design -The design which is used in this study is descriptive. 5.8 SAMPLE OF THE STUDY For the present study data was collected with the help of structured questionnaire from 300 employees working in software industry. The study is concentrated on Bangalore IT industry. The researcher used non probabilistic sampling (purposive sampling) method as sampling design. Samples were selected from 10 top IT multinational companies. Samples were drawn from three levels of management including entry level, middle level and top level employees. The pertinent information for the study is collected from both primary and secondary sources. 5.9 THE INSTRUMENTS The independent variable in this study is job satisfaction. The overall Job satisfaction was measured using the 15-item questionnaire developed by Prof.Harold Andrew Patrick in 2009, designed to measure 15 aspects of job. Responses were collected with the help of 7 point likert scale. The dependant variable, organizational commitment was measured using the revised Organizational Commitment Scales (Meyer, Allen and Smith 1993) that is, the Affective Commitment Scale (ACS), the Continuance Commitment Scale (CCS) and the Normative Commitment Scale (NCS) with 24 questions on 7-point Likert scales. The Kovach ten job-related factors, developed by kovach, Kenneth. (1999) were used to determine what motivates the employees in software industry. The respondents were asked to

indicate the degree of importance of the factors and relative ranking according to motivational importance. 5.10 ANALYSIS The following statistical techniques were used to analyze the data. Descriptive statistics-Frequency, percentage, mean and standard deviation The Pearson’s correlation coefficients were used to analyze the relationship between each of the job satisfaction facets and organizational commitment. ANOVA and Regression Friedman test-Kovach’s ten job-related factors were ranked according to the order of importance in motivating the employees. To analyse the data statistical package for social sciences (SPSS) was used. 5.11 MAJOR FINDINGS OF THE STUDY 5.11.1Demographic Profile Gender- For the current study there was larger percentage of male (61.3%) than female (38.7%). Age- In terms of age, 38.7% of the respondents were below 30 years of age, 38.0% of the respondents were in the age group 30 - 40 years, and 23.3% of the respondents were in the age group 40 - 50 years. Qualification- Most of the respondents had professional qualification (54.7%).Others were graduate (17.3%) and post graduate (28%). Marital Status- For the current study majority of the respondents were married (60.7%), followed by single (39.3%). Experience in the current organisation- In terms of experience in the current company most of the respondents were working since 2-3 years(31.3%) followed by 1-2 year(21%),5-6 years(16%),4-5 years(12.7%),6 yrs and above(10.7%) and least being 3-4 yrs(8.3%). Total experience- In terms of total work experience most of the respondents were in the 2-5 yrs(31.3%),followed by 2 years and below(19.7%),10-15yrs(17.7%),5-10yrs(17%),15-20yrs (11.7%) and least being above 20 years (2.6%).

Size of the organization- In terms of size of the organization, all the respondents were from organizations with one thousand or more employees. Managerial level- In terms of management level, 50.7% of the respondents were at entrylevel, 23.0% of the respondents were at middle-level, and 26.3% were at senior-level. 5.11.2 General Findings 1. The level of organizational commitment was moderate, with relatively higher variability in affective commitment. Mean value was highest for Continuance commitment indicating employees are staying back with the organization because of the cost of leaving the organisation or it’s too much trouble to go somewhere else. 2. IT employees were showing only a moderate level of job satisfaction. Amongst the items comprising the scale for job satisfaction, the items with highest satisfaction levels were related to the social aspects of the job, working conditions (excluding working hours), interest (from intrinsic aspects of the job), job security, communication, and ease of the job (as an intrinsic aspect of the job). On the other hand, employees had lowest satisfaction levels for working hours, supervision, appreciation from management, and salary. It shows that IT employees are dissatisfied with the working hours, supervision, appreciation from management and the salary they are getting. 3. To increase the Job satisfaction and commitment it is very important to identify the motivational factors. . The most important motivational factors for IT employees were good wages, promotion/growth, job security, interesting work, and appreciation of work. 5.11.2 HYPOTHESIS RELATED FINDINGS 1. There was significant positive correlation of job satisfaction with affective commitment and normative commitment, and negative correlation with continuance commitment. This indicates that higher the level of job satisfaction greater the level of affective commitment and normative commitment. If employees are staying back with the organization because of the cost of leaving the organisation or it’s too much trouble to go somewhere else then there will be less satisfaction. 2. Amongst the items comprising the scale for job satisfaction, the items with highest correlation with affective commitment were related to the salary, benefits, fair treatment, opportunity for advancement, and supervision. The items with moderate correlation were

appreciation (from management),interest (from intrinsic aspects of job),job security and intrinsic aspects of job(excluding ease).The job satisfaction items with lowest correlation were

working conditions(excluding hours),social aspects of job, and communication. So it

clearly indicates the importance of salary, benefit, fair treatment, opportunity for advancement and a good supervision in increasing the positive emotional attachment to the organisation. 3. Regression analysis revealed that job satisfaction had a significant impact on Organizational commitment. Job satisfaction was found to have a significant positive impact on affective commitment, explaining 67.0% of the variation in affective commitment. Thus, when job satisfaction increases, affective commitment would tend to increase with it. Job satisfaction was not found to have a significant impact on continuance commitment, explaining only 1.2% of the variation in continuance commitment. Thus, when job satisfaction increases, continuance commitment would be expected to slightly decrease with it. Job satisfaction was found to have a significant positive impact on normative commitment, explaining 35.1% of the variation in normative commitment. Thus, when job satisfaction increases, normative commitment would tend to increase with it, but less so than affective commitment. 4. There was no significant difference in organizational commitment between men and women IT professionals. So the gender doesn’t play any role. 5. There was significant difference in organizational commitment between age groups. Organizational commitment was highest for IT professionals in the 40 - 50 yr. age group. In particular, continuance commitment was lowest for IT professionals in the 30 - 40 yr age group. Affective commitment was lowest for IT employees below 30 yrs and it was increasing with the age. So it clearly indicates the importance of increasing affective commitment among young employees as it can reduce turnover cost. 6. There was significant difference in continuance commitment between IT professionals with different qualifications. Continuance commitment was lowest for those with professional qualifications. There was no significant difference in affective commitment and in normative commitment between qualifications. 7. There was significant difference in affective commitment and in normative commitment between married and single IT professionals. Both affective commitment and normative

commitment were significantly lower for single IT professionals. There was no significant difference in continuance commitment between married and single IT professionals. 8. There was significant difference in organizational commitment based on years in the current position. Affective commitment increased with years in the current position. Continuance commitment varied considerably with years in current position, and was lowest for IT professionals in their present position for six years or more. Normative commitment also varied considerably with years in current position, and was low for IT professionals in their present position for six years or more. 9. There was significant difference in organizational commitment based on overall work experience. Affective commitment generally increased with overall work experience. Continuance commitment varied considerably with overall work experience, and was lowest for IT professionals with overall work experience of 5 -10 yrs. and 10 - 15 yrs. Normative commitment generally increased with overall work experience. 10. There was significant difference in organizational commitment based on management level. Affective commitment was highest for senior-level IT professionals. Continuance commitment was highest for senior-level, and lowest for middle-level IT professionals. Normative commitment was highest for middle- and senior-level IT professionals. 11. There was no significant difference in job satisfaction between men and women IT professionals. 12. There was significant difference in job satisfaction between IT professionals in different age groups. Job satisfaction generally increased with age of IT employees. The logic will be as workers grow older, alternative employment opportunities become limited, making their current jobs more attractive. 13. There was no significant difference in job satisfaction between IT professionals based on qualifications. 14. There was significant difference in job satisfaction between married and single IT professionals. Married IT professionals were generally more satisfied than single IT professionals.

15. There was significant difference in job satisfaction between IT professionals based on years in the current position. Job satisfaction generally increased with years in current position and experience. 16. There was significant difference in job satisfaction between IT professionals at different levels of management. Job satisfaction was lower at entry-level than at middle- and seniorlevel of management. 17. There was no difference between men and women IT professionals in the importance of different motivational factors. 18. There was no difference between IT professionals in different age groups in the importance of different motivational factors. 19. There was no difference between IT professionals with different qualifications in the importance of different motivational factors. 20. There was no difference between married and single IT professionals in the importance of different motivational factors. 21. There was difference between IT professionals based on years in the current position in the importance of different motivational factors. Promotion/growth was more important than salary for IT professionals in their present position for six years or more. 22. There was difference between IT professionals based on overall work experience in the importance of different motivational factors. Job security was less important than interesting work and appreciation of work for IT professionals with twenty or more years of overall work experience. 23. There was no difference between IT professionals at different levels of management in the importance of different motivational factors. 5.12 IMPLICATIONS 1. The study revealed that there is only moderate level of Job satisfaction and Organizational commitment for IT employees. From the review of literature it is clear that IT employees seem to be quicker to change jobs than other employees when they are dissatisfied with their current employer (Hacker, 2003).So it cites the importance of improving their job satisfaction and commitment.

2. Another important finding of the study is amongst the items comprising the scale for job satisfaction; IT employees are dissatisfied with the working hours, supervision, appreciation from management and the salary they are getting. So the IT companies should pay more attention in improving working hours, good supervision, and appreciation for the work they are doing. IT mncs should pay more attention to the salary of the employees as it has highest correlation with affective commitment. It can reduce the employee turnover and the cost associated with it. It is possible that when employees judge the organization to be providing good supervision, positive feelings of well being will be created. This is likely to stimulate them to reciprocate by increasing their sense of obligation to the organization and the belief that staying is the ‘right thing’ to do to the organization. 3. For any organization the most important challenge is to retain the talented work force.Inorder to retain the talented work force it is very important to identify what motivates them. The study revealed that the most important motivational factors for IT employees were good wages, promotion/growth, job security, interesting work, and appreciation of work. The findings of this study provide valuable insights for the management to create a motivated and committed workforce. 4. There was significant positive correlation of job satisfaction with affective commitment and normative commitment, and negative correlation with continuance commitment. An employee who is affectively committed strongly identifies with the goals of the organization and desires to remain a part of the organization. This employee commits to the organization because he/she "wants to”. As there is high correlation between job satisfaction and affective commitment organization should concentrate on developing affective commitment-oriented organization policies. 5. For the organization, job satisfaction of its workers means a work force that is motivated and committed to high quality performance. Amongst the items comprising the scale for job satisfaction, the items with highest correlation with affective commitment were related to the salary, benefits, fair treatment, opportunity for advancement, and supervision. This means that if an IT organization can give importance to these factors it can reduce employee turnover and can increase affective commitment of its employees. 6. There was significant difference in organizational commitment between age groups. Affective commitment was lowest for IT employees below 30 yrs and it was increasing with

the age. The commitment of younger workers is likely to be more affected by disappointment with pay and promotion opportunities than the commitment of older employees who have achieved their advancement and income potential compared to younger employees who often make job choices on the basis of income and career potential. Older employees, on the other hand, have higher needs for affiliation and lower needs for achievement. So to increase the affective commitment of younger employees organisation should pay more attention towards their salary and opportunity for advancement. 7. There was difference between IT professionals based on years in the current position in the importance of different motivational factors. Promotion/growth was more important than salary for IT professionals in their present position for six years or more. So when we plan the HRD variables it should be according to their experience level. Achievement needs will be higher for less experienced and affiliation needs will be motivating factor for experienced employees. So the HR policies should be planned based on employee need. 5.13 LIMITATIONS OF THE STUDY The study has the following limitations •

Time limit of the researcher is one major limitation

•

The survey is subjected to the bias and prejudices of the respondents. Hence 100% accuracy

•

can’t be assured.

The research is confined to Bangalore city only, so the result might be indicative not conclusive

•

The findings of the research are based on what the respondent have stated as true

•

As the study is planning to conduct on software professionals in Bangalore city, so the same result may not hold true for other areas.

5.14 SUGGESTIONS FOR FURTHER RESEARCH 1. A study on the relationship between human resources management practises and organizational commitment of IT employees. 2. A study on the relationship between job satisfaction, organisational commitment and turnover intention among IT professionals can be undertaken.

3. A study can be conducted to find out the antecedents of organizational commitment and Job satisfaction among Indian IT employees. 5.15 CONCLUSION A major challenge faced by all IT organization is, developing and maintaining Organizational commitment and Job satisfaction. It is the interest of all organization to secure commitment and reduce employee turnover. So this topic has attracted the interest of many researchers. This study confirms the relationship between job satisfaction and organizational commitment. So managers need to make effort to develop human resource policies that are in alignment to the needs and motivation of the employees. The findings of this study have pointed out some salient issues in the IT field. It is imperative for IT company management to meet the demands of their personnel to strengthen their motivation, satisfaction, and commitment to minimize turnover.

BIBLIOGRAPHY

BIBLIOGRAPHY Allen, N.J. and Meyer, J.P. (1996). Affective, Continuance and Normative Commitment to the Organization: An Examination of Construct Validity. Journal of Vocational Behaviour, 49(3), 252-276. Allen, N.J. and Meyer, J.P. (1990).The measurement and antecedents of affective, continuance and normative commitment to the organization. Journal of Occupational Psychology, 63(1), 1-18. Bashir, S .and Ramay, M .I. (2008). Determinants of Organizational Commitment. Journal of Behavioural and Applied management, Vol.9:226-238. Balfour, D.L. and Weschler, D. (1996). Organizational Commitment: Antecedents and Outcomes in Public Organizations. Public Productivity and Management Review, 19(3), 256277. Bateman, T. & Strasser, S. (1984). A longitudinal analysis of the antecedents of organizational commitment. Academy of Management Journal, 21, 95-112. Bolon, D.S. (1997). Organizational Citizenship Behaviour Among Hospital Employees: A Multidimensional Analysis Involving job Satisfaction and Organizational Commitment. Hospital & Health Services Administration, 42, (2), 221-241. Chin, K.K. and Sheehan, B. (2004). An Assessment of the Multidimensionality of Organizational Commitment in Malaysia. Malaysian Management Review, 39(2), 11-23. Ebru, Gunlu., Mehmet, Aksarayli., Nilufer, Percin. (2010).Job satisfaction and organizational commitment of hotel managers in Turkey. International Journal of Contemporary Hospitality Management, Vol. 22: 5,693-717. Harrison, J, .and Hubbard Russel. (1998).Antecedents to Organizational Commitment among Mexican Employees. The Journal of Social Psychology, 138(5), 609-623.

Igbaria, Magid., Guimaraes, Tor. (1993). Antecedents and consequences of Job satisfaction among information centre employees. Journal of Management Information systems, Vol.9, 145-174. Knoop, R. (1995). Relationships between Job Involvement, Job Satisfaction and Organizational Commitment for Nurses. Journal of Psychology Interdisciplinary and Applied Psychology, 129(6), 643-649. Kong, B.A., Chye, T.G. and Hian, C.K. (1993). Research Notes: The Impact of Age on the Job Satisfaction of Accountants. Personnel Review, 22(1), 31-39. Lew, Tek ,View. (2008). Job satisfaction and affective Commitment: A study of employees in the tourism industry in Sarawak, Malaysia. Sunway Academic Journal, Vol.4:27-41. Lew, T.Y. (2009).The relationship between Perceived organizational support, felt obligation, Affective organizational commitment and turnover intention of Academics Working with Private Higher educational Institutions in Malaysia. European Journal of Social Sciences, 9(1), 72. Luthans, F. (1998). Organisational Behaviour. 8th ed. Boston: Irwin McGraw-Hill Mahmaud, Alhussami. (2008). A study of Nurses Job satisfaction: The relationship to Organizational commitment, Perceived organizational support, Transactional Leadership, Transformational leadership and the level of education. European

Journal of Scientific

research, 22(2), 286-295. Mamoria, C.B., Gankar S.V.Gankar. (2003).Personnel Management: Mumbai: Himalaya Publishing House. Meyer, J.P. & Allen, N.J. (1991). A Thee-component conceptualitazation of organizational Commitment. Human Resource Management Review, 1, 61-89. Meyer, J.P., Stanley, D.J., Herscovitch, L. and Topolnytsky, L. (2002). Affective, Continuance and Normative Commitment to the Organization: A Meta Analysis of Antecedents, Correlates and Consequences. Journal of Vocational Behaviour, 61(1), 20- 52.

Meyer, J. P., Allen, N. J., & Smith, C. A. (1993). Commitment to organizations and Occupations: Extension and test of a three-component conceptualization. Journal of Applied Psychology, 78, 538–551. Meyer, J. P., Becker, T. E., & Vandenberghe, C. (2004). Employee commitment and motivation: A conceptual analysis and integrative model. Journal of Applied Psychology, 89, 991–1007. Meyer, J. P., Paunonen, S. V., Gellatly, I. R., Goffin, R. D., & Jackson, D. N. (1989). Organizational commitment and job performance: It’s the nature of commitment that counts. Journal of Applied Psychology, 74, 152-156. Mosadeghrad.A.M.,Ferlie .E ., &Rosenberg.D.(2008).A study of the relationship between Job satisfaction, Organizational commitment and Turnover intention among Hospital employees, Health service Management Resource, 21,211-227. Neerpal, Rathi., &Renu, Rastogi. (2008). Job Satisfaction and Psychological Well-Being. The ICFAI University Journal of Organizational Behaviour, Vol.7, No.3:47-57.

Pavan, Kumar, B. and Vijai, N .Giri. (2009). Effect of Age and Experience on Job satisfaction

and Organizational commitment. The ICFAI University Journal of

Organizational Behaviour, Vol.8, No.1:28-35.

Paul, A.K ., Anantharaman,R.N.(2004).Influence of Human Resources Management practices on organizational commitment: A study among software professionals in India. Human Resource Development Quarterly, 15(1), 77-88. Perry, James. (1997). Antecedents of Public Service Motivation. Journal of Public Administration Research and Theory, 7( 2), 181-197.

Porter, L.W.,Crampon, W. & Smith, F. (1976). Organizational commitment and managerial turnover: A longitudinal study. Organizational Behaviour and Human Performance, 15, 87-98. Porter,L.W.,Steers,R.M.,Mowday,R.T.&Boulian,P.V.(1974).Organizational

commitment

,Job satisfaction ,and Turnover among Psychiatric Technicians. Journal of Applied Psychology, 59(5), 603-609. Prasad L.M. (2002).Organisational Behaviour: New Delhi: Sultan Chand &Sons Publishers. Restubog, Simon, Lloyd, D., Bordia, Prashant., Tang, Robert. (2006). Effects of Psychological contract breach on Performance of IT employees: The mediating role of affective commitment. Journal of occupational and Organizational Psychology, 79, 299306. Riaz, Adnan., & Ramay, Muhammad. (2010). Antecedents of Job satisfaction-A study of telecom sector. Perspectives of Innovations, Economics and Business, Vol.4, 66-73. Steers, R.M. (1977).Antecedents and outcomes of Organizational commitment. Administrative Science Quarterly, 22(1), 46-56. Shahnawaz, M.G., & Juyal, Rakesh. (2006). Human Resource Management Practices and Organizational Commitment in Different Organizations. Journal of the Indian Academy of Applied Psychology, 32(3), 171-178. Weiner, Y. (1982). Commitment in Organization: A Normative View. Academy of Management Review, 7, 418-428. Whitener, Ellen M. (2001).Do high commitment human resource practices affect employee commitment: A cross –level analysis using hierarchical linear modelling. Journal of Management, 27(5), 515-535.

APPENDIX

APPENDIX-1 PROFORMA Christ University Institute of Management Bangalore – 560029

Dear Respondent, I am doing my dissertation titled “Organizational commitment and Job satisfaction: A study of employees in the IT industry in Bangalore, India.” in partial fulfilment of my M.Phil (Management) course. You are requested to participate in the study. Your consent for the participation in the study is voluntary. However, your participation will help the progress of research and scientific knowledge in this field. All information collected is for research purpose and will be kept confidential .If you have any doubt about the study, you are free to contact the investigator for clarification. Thank you for your cooperation.

Regards, Jasmine Sonia Research Scholar Christ University [email protected]

Gender: 1. Age: 2.

Male Below 30 yrs

Qualification : Graduate

Others specify

Female 30-40

40-50

Post Graduate

Professional Qualification

3. 4.

Marital Status: Married Single Position/Designation: (Specify)

Others

……………………………………………………………….. 5. How long have you been in this position: < 1 Year 3-4 Years

4-5 Years

7.

2-3Years

5 Years and Above

6. Work Experience: 2years and below 15-20yrs

1-2 Years

2-5yrs

5-10yrs

10-15 yrs

above 20 yrs

Size of the Organization: Less than 500 employees

500-1000 Employees

More than 1000 Employees

Instructions: Kindly read the items carefully and Tick in the appropriate box. Please do not omit any item.

Kindly tick in the appropriate Box

Strongly Disagree

Disagree Slightly Disagree

Undecided Slightly Agree

Agree Strongly Agree

1

2

3

4

5

6

7 1

I would be very happy to spend the rest of my career with this organization

2

I enjoy discussing my organization with people outside it

3

I really feel as if this organizations problems are my

own 4

I do not think I could become as attached to another organization as I am to this one

5

I feel like part of the family at my organization

6

I feel emotionally attached to this organization

7

This organization has a great deal of personal meaning for me

8

I feel a strong sense of belonging to my organization

9

It would be hard for me to leave my organization right now, even if I wanted to

1 0

My life would be disrupted if I decided I wanted to leave my organization now

11 I am afraid of what might happen if I quit my job without having another one lined up 1 2

It would be costly for me to leave my organization now

1 7

Right now staying with my organization is a matterHi of gh necessity as much as desire ly I feel that I have few options to consider leaving this Di organization ss One of the serious consequences of leaving this ati organization would be scarcity of available sfi alternatives ed One of the major reasons I continue to work for this organization is that leaving would require personal sacrifice-another organization may not match the overall benefits I have here I think that people these days move from organization to organization too often

1 8

I believe that a person must always be loyal to his/her organization

1 9

Jumping from organization to organization seems unethical to me

2 0

I believe that loyalty is important and therefore I feel a strong sense of moral obligation

2 1

If I got another offer for a better job elsewhere I would not feel it was right to leave my organization

2 2

I was taught to believe in the value of remaining loyal to one organization

2 3

Things were better in the days when people stayed with one organization for most of their careers

2 4

I think that wanting to be a company man or company woman is sensible

1 3 1 4 1 5 1 6

INSTRUCTIONS: The following is a list of job, work and organization related items. Kindly indicate your level of satisfaction with the items on a ‘7-point’ scale as shown below. 1 indicating highly dissatisfied and 7 indicating highly satisfied. Be HONEST and CANDID in your response and do not omit any item.

Employees' Ranking

1 1. Job Security 2. Interest (from intrinsic aspects of job) 3. Opportunity for advancement 4. Appreciation (from management) 5. Company policy and management practices 6. Intrinsic aspects of job (excluding ease) 7. Salary 8. Supervision 9. Social aspects of job 10. Working conditions (excluding hours) 11. Communication 12. Hours (from working conditions) 13. Ease (from intrinsic aspects of job) 14. Benefits 15. Fair treatment

Instructions: Kindly read the items carefully and rank the items, regarding your view about motivating factors. Please do not omit any item. Please indicate the extent of your motivational importance by selecting a number from 1 to 10. 1 indicates highest ranking and 10 indicates least motivating factor. Do not repeat the number while ranking.

Items Interesting work Appreciation of work Feeling "in on things" Job security Good wages Promotion/growth Good working conditions Personal loyalty Tactful discipline Sympathetic help with problems