Job Satisfaction and Employee Work Attitude (A Case Study of Employees Working In Commercial Banks In District Nausharo-Feroze-2015)
Case Studies Journal ISSN (2305-509X) – Volume 4, Issue 8 – Aug-2015
6 Pages Posted: 25 Jun 2019
Syed Muneer Ahmed Shah
S.A.L University (Shah Abdul Latif University) - Department of Business Administration
Faheem-ul-Hussain Dehraj
Affiliation not provided to ssrn, bilawal ali dayo.
Date Written: August 2015
Looking at the need and importance of employee’s job satisfaction for organizational success, this research was made by using workplace environment, salary, benefits and team effectiveness/work group as an independent variables for the job satisfaction, questionnaires were developed for collection of primary data from the employees of both working in public and private commercial banks at District Nausharo-feroze, SPSS 18 was used for measuring the role of discussed above variables and concluded that salary, benefits and team effectiveness/work group positively and significantly linked with job satisfaction, while the relationship between workplace environment is adversely seen to job satisfaction, however gap is seen so large to be fulfilled by other researchers to bring light on same issue.
Keywords: Work place environment, Salary & Benefits, Team effectiveness/work group, Job satisfaction
Suggested Citation: Suggested Citation
Syed Muneer Ahmed Shah (Contact Author)
S.a.l university (shah abdul latif university) - department of business administration ( email ).
Khairpur Pakistan
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Job Satisfaction, Organizational Commitment and Job Involvement: The Mediating Role of Job Involvement
We conducted an empirical study aimed at identifying and quantifying the relationship between work characteristics, organizational commitment, job satisfaction, job involvement and organizational policies and procedures in the transition economy of Serbia, South Eastern Europe. The study, which included 566 persons, employed by 8 companies, revealed that existing models of work motivation need to be adapted to fit the empirical data, resulting in a revised research model elaborated in the paper. In the proposed model, job involvement partially mediates the effect of job satisfaction on organizational commitment. Job satisfaction in Serbia is affected by work characteristics but, contrary to many studies conducted in developed economies, organizational policies and procedures do not seem significantly affect employee satisfaction.
1. Introduction
In the current climate of turbulent changes, companies have begun to realize that the employees represent their most valuable asset (Glen, 2006 ; Govaerts et al., 2011 ; Fulmer and Ployhart, 2014 ; Vomberg et al., 2015 ; Millar et al., 2017 ). Satisfied and motivated employees are imperative for contemporary business and a key factor that separates successful companies from the alternative. When considering job satisfaction and work motivation in general, of particular interest are the distinctive traits of these concepts in transition economies.
Serbia is a country that finds itself at the center of the South East region of Europe (SEE), which is still in the state of transition. Here transition refers to the generally accepted concept, which implies economic and political changes introduced by former socialist countries in Europe and beyond (e.g., China) after the years of economic stagnation and recession in the 1980's, in the attempt to move their economy from centralized to market-oriented principles (Ratkovic-Njegovan and Grubic-Nesic, 2015 ). Serbia exemplifies many of the problems faced by the SEE region as a whole, but also faces a number of problems uniquely related to the legacy of its past. Due to international economic sanctions, the country was isolated for most of the 1990s, and NATO air strikes, related to the Kosovo conflict and carried out in 1999, caused significant damage to the industry and economy. Transitioning to democracy in October 2000, Serbia embarked on a period of economic recovery, helped by the introduction of long overdue reforms, major inflows of foreign investment and substantial assistance from international funding institutions and others in the international community. However, the growth model on which Serbia and other SEE countries relied between 2001 and 2008, being based mainly on rapid capital inflows, a credit-fueled domestic demand boom and high current account deficit (above 20% of GDP in 2008), was not accompanied by the necessary progress in structural and institutional reforms to make this model sustainable (Uvalic, 2013 ). The central issue of the transition process in Serbia and other such countries is privatization of public enterprises, which in Serbia ran slowly and with a number of interruptions, failures and restarts (Radun et al., 2015 ). The process led the Serbian industry into a state of industrial collapse, i.e., deindustrialization. Today there are less than 400,000 employees working in the industry in Serbia and the overall unemployment rate exceeds 26% (Milisavljevic et al., 2013 ). The average growth of Serbia's GDP in the last 5 years was very low, at 0.6% per year, but has reached 2.7% in 2016 (GDP, 2017 ). The structure of the GDP by sector in 2015 was: services 60.5%, industry 31.4%, and agriculture 8.2% (Statistical Office of the Republic of Serbia, 2017 ).
Taking into account the specific adversities faced by businesses in Serbia, we formulated two main research questions as a starting point for the analysis of the problem of work motivation in Serbia:
- To what extent are the previously developed models of work motivation (such as the model of Locke and Latham, 2004 ) applicable to the transition economy and business practices in Serbia?
- What is the nature of the relationships between different segments of work motivation (job satisfaction, organizational commitment, job involvement and work characteristics)?
The Hawthorn experiment, conducted in early 1930s (Mayo, 1933 ), spurred the interest of organizational behavior researchers into the problem of work motivation. Although Hawthorn focused mainly on the problems of increasing the productivity and the effects of supervision, incentives and the changing work conditions, his study had significant repercussions on the research of work motivation. All modern theories of work motivation stem from his study.
Building on his work, Maslow ( 1943 ) published his Hierarchy of Needs theory, which remains to this day the most cited and well known of all work motivation theories according to Denhardt et al. ( 2012 ). Maslow's theory is a content-based theory , belonging to a group of approaches which also includes the ERG Theory by Alderfer ( 1969 ), the Achievement Motivation Theory, Motivation-Hygiene Theory and the Role Motivation Theory.
These theories focus on attempting to uncover what the needs and motives that cause people to act in a certain way, within the organization, are. They do not concern themselves with the process humans use to fulfill their needs, but attempt to identify variables which influence this fulfillment. Thus, these theories are often referred to as individual theories , as they ignore the organizational aspects of work motivation, such as job characteristics or working environment, but concentrate on the individual and the influence of an individual's needs on work motivation.
The approach is contrasted by the process theories of work motivation, which take the view that the concept of needs is not enough to explain the studied phenomenon and include expectations, values, perception, as important aspects needed to explain why people behave in certain ways and why they are willing to invest effort to achieve their goals. The process theories include: Theory of Work and Motivation (Vroom, 1964 ), Goal Setting Theory (Locke, 1968 ), Equity Theory (Adams, 1963 ), as well as the The Porter-Lawler Model (Porter and Lawler, 1968 ).
Each of these theories has its limitations and, while they do not contradict each other, they focus on different aspects of the motivation process. This is the reason why lately they have been several attempts to create an integrated theory of work motivation, which would encompass all the relevant elements of different basic theories and explain most processes taking place within the domain of work motivation, the process of motivation, as well as employee expectations (Donovan, 2001 ; Mitchell and Daniels, 2002 ; Locke and Latham, 2004 ). One of the most influential integrated theories is the theory proposed by Locke and Latham ( 2004 ), which represents the basis for the study presented in this paper.
The model of Locke and Latham is show in Figure Figure1. 1 . As the figure shows, it includes individual needs, values and motive, as well as personality. Incorporating the theory of expectations, the goal-setting theory and the social-cognitive theory, it focuses on goal setting, goals themselves and self-efficiency. Performance, by way of achievements and rewards, affects job satisfaction. The model defines relations between different constructs and, in particular, that job satisfaction is affected by the job characteristics and organizational policy and procedures and that it, in turn, affects organizational commitment and job involvement. Locke and Latham suggested that the theory they proposed needs more stringent empirical validation. In the study presented here, we take a closer look at the part of their theory which addresses the relationship between job satisfaction, involvement and organizational commitment. The results of the empirical study conducted in industrial systems suggest that this part of the model needs to be improved to reflect the mediating role of job involvement in the process through which job satisfaction influences organizational commitment.
Diagram of the Latham and Locke model. The frame on the right indicates the part of the model the current study focuses on.
Job satisfaction is one of the most researched phenomena in the domain of human resource management and organizational behavior. It is commonly defined as a “pleasurable or positive emotional state resulting from the appraisal of oneś job or job experiences” (Schneider and Snyder, 1975 ; Locke, 1976 ). Job satisfaction is a key element of work motivation, which is a fundamental determinant of one's behavior in an organization.
Organizational commitment, on the other hand, represents the degree to which the employees identify with the organization in which they work, how engaged they are in the organization and whether they are ready leave it (Greenberg and Baron, 2008 ). Several studies have demonstrated that there is a strong connection between organizational commitment, job satisfaction and fluctuation (Porter et al., 1974 ), as well as that people who are more committed to an organization are less likely to leave their job. Organizational commitment can be thought of as an extension of job satisfaction, as it deals with the positive attitude that an employee has, not toward her own job, but toward the organization. The emotions, however, are much stronger in the case of organizational commitment and it is characterized by the attachment of the employee to the organization and readiness to make sacrifices for the organization.
The link between job satisfaction and organizational commitment has been researched relatively frequently (Mathieu and Zajac, 1990 ; Martin and Bennett, 1996 ; Meyer et al., 2002 ; Falkenburg and Schyns, 2007 ; Moynihan and Pandey, 2007 ; Morrow, 2011 ). The research consensus is that the link exists, but there is controversy about the direction of the relationship. Some research supports the hypothesis that job satisfaction predicts organizational commitment (Stevens et al., 1978 ; Angle and Perry, 1983 ; Williams and Hazer, 1986 ; Tsai and Huang, 2008 ; Yang and Chang, 2008 ; Yücel, 2012 ; Valaei et al., 2016 ), as is the case in the study presented in this paper. Other studies suggest that the organizational commitment is an antecedent to job satisfaction (Price and Mueller, 1981 ; Bateman and Strasser, 1984 ; Curry et al., 1986 ; Vandenberg and Lance, 1992 ).
In our study, job involvement represents a type of attitude toward work and is usually defined as the degree to which one identifies psychologically with one's work, i.e., how much importance one places on their work. A distinction should be made between work involvement and job involvement. Work involvement is conditioned by the process of early socialization and relates to the values one has wrt. work and its benefits, while job involvement relates to the current job and is conditioned with the one's current employment situation and to what extent it meets one's needs (Brown, 1996 ).
2.1. Research method
Based on the relevant literature, the results of recent studies and the model proposed by Locke and Latham ( 2004 ), we designed a conceptual model shown in Figure Figure2. 2 . The model was then used to formulate the following hypotheses:
- H0 - Work motivation factors, such as organizational commitment, job involvement, job satisfaction and work characteristics, represent interlinked significant indicators of work motivation in the organizations examined.
- H1 - Work characteristics will have a positive relationship with job satisfaction.
- H2 - Organizational policies and procedures will have a positive relationship with job satisfaction.
- H3 - Job satisfaction will have a positive relationship with job involvement.
- H4 - Job satisfaction will have a positive relationship with organizational commitment.
- H5 - Job involvement will have a mediating role between job satisfaction and organizational commitment.
The research model.
2.2. Participants
For the purpose of this study, 125 organizations from the Serbian Chamber of Commerce database ( www.stat.gov.rs ) were randomly selected to take part in this study. Each organization was contacted and an invitation letter was sent. Eight companies expressed a desire to take part and provided contact details for 700 of their employees. The questionnaire distribution process was conducted according to Dillman's approach (Dillman, 2011 ). Thus, the initial questionnaire dissemination process was followed by a series of follow-up email reminders, if required. After a 2-month period, out of 625 received, 566 responses were valid. Therefore, the study included 566 persons, 235 males (42%) and 331 women (58%) employed by 8 companies located in Serbia, Eastern Europe.
The sample encompassed staff from both public (53%) and private (47%) companies in manufacturing (31%) and service (69%) industries. The companies were of varied size and had between 150 and 6,500 employees, 3 of them (37.5%) medium-sized (<250 employees) and 5 (62.5%) large enterprises.
For the sake of representativeness, the sample consisted of respondents across different categories of: age, years of work service and education. The age of the individuals was between 20 and 62 years of age and we divided them into 5 categories as shown in Table Table1. 1 . The table provides the number of persons per category and the relative size of the category wrt. to the whole sample. In the same table, a similar breakdown is shown in terms of years a person spent with the company, their education and the type of the position they occupy within the company (managerial or not).
Data sample characteristics.
Sex | Male | 235 | 41.5 |
Female | 331 | 58.5 | |
Age | 20–29 | 127 | 22.5 |
30–39 | 202 | 35.8 | |
40–49 | 121 | 21.5 | |
50–59 | 100 | 17.7 | |
60–69 | 14 | 2.5 | |
Years with the company | 0-9 | 262 | 46.3 |
10–19 | 151 | 26.7 | |
20–29 | 103 | 18.2 | |
30–40 | 50 | 8.8 | |
Education | High School | 282 | 49.8 |
Community college | 59 | 10.4 | |
College | 195 | 34.5 | |
Postgraduate | 30 | 5.3 | |
Vocation | Technical | 262 | 46.3 |
Natural sciences | 56 | 9.9 | |
Humanistic sciences | 248 | 43.8 | |
Company ownership | Public | 303 | 53.4 |
Private | 264 | 46.6 | |
Company type | Production | 173 | 30.5 |
Service | 394 | 69.5 | |
Employee position | Non-managerial | 494 | 87.3 |
Managerial | 72 | 12.7 |
2.3. Ethics statement
The study was carried out in accordance with the Law on Personal Data Protection of the Republic of Serbia and the Codex of Professional Ethics of the University of Novi Sad. The relevant ethics committee is the Ethics Committee of the Faculty of Technical Sciences of the University of Novi Sad.
All participants took part voluntarily and were free to fill in the questionnaire or not.
The questionnaire included a cover sheet explaining the aim of the research, ways in which the data will be used and the anonymous nature of the survey.
2.4. Measures
This study is based on a self reported questionnaire as a research instrument.
The questionnaire was developed in line with previous empirical findings, theoretical foundations and relevant literature recommendations (Brayfield and Rothe, 1951 ; Weiss et al., 1967 ; Mowday et al., 1979 ; Kanungo, 1982 ; Fields, 2002 ). We then conducted a face validity check. Based on the results, some minor corrections were made, in accordance with the recommendations provided by university professors. After that, the pilot test was conducted with 2 companies. Managers from each of these companies were asked to assess the questionnaire. Generally, there were not any major complaints. Most of the questions were meaningful, clearly written and understandable. The final research instrument contained 86 items. For acquiring respondents' subjective estimates, a five-point Likert scale was used.
The questionnaire took about 30 min to fill in. It consisted of: 10 general demographic questions, 20 questions from the Minnesota Satisfaction Questionnaire (MSQ), 15 questions from the Organizational Commitment Questionnaire (OCQ), 10 questions from the Job Involvement Questionnaire (JIQ), 18 questions of the Brayfield-Rothe Job Satisfaction Scale (JSS), 6 questions of the Job Diagnostic Survey (JDS) and 7 additional original questions related to the rules and procedures within the organization.
The Minnesota Satisfaction Questionnaire (MSQ), 20 items short form (Weiss et al., 1967 ), was used to gather data about job satisfaction of participants. The MSQ – short version items, are rated on 5-points Likert scale (1 very dissatisfied with this aspect of my job, and 5 – very satisfied with this aspect of my job) with two subscales measuring intrinsic and extrinsic job satisfaction.
Organizational commitment was measured using The Organizational Commitment Questionnaire (OCQ). It is a 15-item scale developed by Mowday, Steers and Porter (Mowday et al., 1979 ) and uses a 5-point Likert type response format, with 3 factors that can describe this commitment: willingness to exert effort, desire to maintain membership in the organization, and acceptance of organizational values.
The most commonly used measure of job involvement has been the Job Involvement Questionnaire (JIQ, Kanungo, 1982 ), 10-items scale designed to assess how participants feel toward their present job. The response scale on a 5-point scale varied between “strongly disagree/not applicable to me” to “strongly agree/fully applicable”.
The Brayfield and Rothe's 18-item Job Satisfaction Index (JSI, Brayfield and Rothe, 1951 ) was used to measure overall job satisfaction, operationalized on five-point Likert scale.
Psychometric analysis conducted showed that all the questionnaires were adequately reliable (Cronbach alpha > 0.7). The suitability of the data for factor analysis has been confirmed using the Kaiser-Meyer-Olkin (KMO) Test (see Table Table2 2 ).
Basic psychometric characteristics of the instruments.
MSQ | Overall | 0.936 | 0.924 |
Extrinsic motivation | 0.905 | 0.885 | |
Intrinsic motivation | 0.897 | 0.859 | |
OCQ | Original | 0.901 | 0.841 |
Brayfield-Rothe Job Satisfaction index | Original | 0.895 | 0.83 |
Improved | 0.905 | 0.867 | |
Job involvement | Original | 0.886 | 0.842 |
Improved | 0.886 | 0.854 | |
Work characteristics | Original | 0.878 | 0.907 |
For further analysis we used summary scores for the different scales. Job satisfaction was represented with the overall score of MSQ, as the data analysis revealed a strong connection between the extrinsic and intrinsic motivators. The overall score on the OCQ was used as a measure of organizational commitment, while the score on JDS was used to reflect job characteristics. The JSS and JIQ scales have been modified, by eliminating a few questions, in order to improve reliability and suitability for factor analysis.
Statistical analysis was carried out using the SPSS software. The SPSS Amos structural equation modeling software was used to create the Structural Equation Models (SEMs).
The data was first checked for outliers using box-plot analysis. The only outliers identified were related to the years of employment, but these seem to be consistent to what is expected in practice in Serbia, so no observations needed to be removed from the dataset.
3.1. Exploratory factor analysis
Although research dimensions were empirically validated and confirmed in several prior studies, to the best of our knowledge, the empirical confirmation of the research instrument (i.e., questionnaire) and its constituents in the case of Serbia and South-Eastern Europe is quite scarce. Furthermore, the conditions in which previous studies were conducted could vary between research populations. Also, such differences could affect the structure of the research concepts. Thus, exploratory factor analysis (EFA) was conducted in order to empirically validate the structure of research dimensions and to test the research instrument, within the context of the research population of South-Eastern Europe and Serbia.
Using the maximum likelihood method we identified four factors, which account for 67% of the variance present in the data. The scree plot of the results of the analysis is shown in Figure Figure3. 3 . As the figure shows, we retained the factors above the inflection point.
Scree plot of the EFA results.
The communalities for the variables loading into the factors are shown in Table Table3 3 and the questions corresponding to our variables are listed in Table Table4. 4 . Initial communalities are estimates of the proportion of variance in each variable accounted for by all components (factors) identified, while the extraction communalities refer to the part of the variance explained by the four factors extracted. The model explains more of the variance then the initial factors, for all but the last variable.
Communalities.
characteristics01 | 0.604 | 0.562 |
characteristics02 | 0.665 | 0.638 |
characteristics03 | 0.666 | 0.709 |
characteristics04 | 0.715 | 0.759 |
characteristics05 | 0.702 | 0.736 |
characteristics06 | 0.637 | 0.641 |
commitment02 | 0.537 | 0.659 |
commitment06 | 0.549 | 0.647 |
commitment10 | 0.431 | 0.47 |
commitment14 | 0.431 | 0.445 |
satisfaction14 | 0.586 | 0.631 |
satisfaction16 | 0.577 | 0.623 |
satisfaction15 | 0.578 | 0.629 |
satisfaction04 | 0.559 | 0.593 |
satisfaction11 | 0.446 | 0.457 |
involvement05 | 0.599 | 0.703 |
involvement04 | 0.554 | 0.639 |
involvement03 | 0.418 | 0.457 |
involvement08 | 0.445 | 0.412 |
involvement09 | 0.416 | 0.401 |
Questions that build our constructs.
characteristics01 | Stimulating and challenging work. |
characteristics02 | Chances to exercise independent thought and action. |
characteristics03 | Opportunities to learn new things from my work. |
characteristics04 | Opportunities to be creative and imaginative in my work. |
characteristics05 | Opportunities for personal growth and development. |
characteristics06 | A sense of worthwhile accomplishment in my work. |
involvement03 | I am very much involved personally in my job. |
involvement04 | I live, eat and breathe my job. |
involvement05 | Most of my interests are centered around my job. |
involvement08 | Most of my personal life goals are job-oriented. |
involvement09 | I consider my job to be very central to my existence. |
commitment02 | I talk up this organization to my friends as a great organization to work for. |
commitment06 | I am proud to tell others that I am part of this organization. |
commitment10 | I am extremely glad that I chose this organization to work for over others I was considering at the time I joined. |
commitment14 | For me this is the best of all possible organizations for which to work. |
satisfaction04 | The chance to be “somebody” in the community. |
satisfaction11 | The chance to do something that makes use of my abilities. |
satisfaction14 | The chances for advancement on this job. |
satisfaction15 | The freedom to use my own judgment. |
satisfaction16 | The chance to try my own methods of doing the job. |
More detailed results of the EFA for the four factors, are shown in Table Table5. 5 . The unique loadings of specific items measured with the different questions in the questionnaire on the factors identified are shown in the pattern matrix (Table (Table6). 6 ). As the table shows, each factor is loaded into by items that were designed to measure a specific construct and there are no cross-loadings. The first factor corresponds to job characteristics, second to job satisfaction, third to job involvement and the final to organizational commitment. The correlation between the factors is relatively low and shown in Table Table7 7 .
Total variance explained by the dominant factors.
1 | 5.815 | 29.075 | 29.075 | 5.220 | 26.102 | 26.102 | 4.268 |
2 | 3.883 | 19.414 | 48.490 | 3.716 | 18.580 | 44.681 | 4.078 |
3 | 2.248 | 11.241 | 59.731 | 1.786 | 8.932 | 53.614 | 3.405 |
4 | 1.503 | 7.517 | 67.248 | 1.088 | 5.438 | 59.051 | 3.505 |
Pattern matrix for the factors identified.
characteristics04 | 0.872 | |||
characteristic05 | 0.856 | |||
characteristic03 | 0.848 | |||
characteristic02 | 0.796 | |||
characteristic06 | 0.793 | |||
characteristic01 | 0.735 | |||
satisfaction16 | 0.815 | |||
satisfaction15 | 0.806 | |||
satisfaction04 | 0.778 | |||
satisfaction14 | 0.743 | |||
satisfaction11 | 0.611 | |||
involvement04 | 0.808 | |||
involvement05 | 0.801 | |||
involvement09 | 0.667 | |||
involvement03 | 0.662 | |||
involvement08 | 0.617 | |||
commitment02 | 0.841 | |||
commitment06 | 0.787 | |||
commitment10 | 0.672 | |||
commitment14 | 0.602 |
Factor correlation matrix.
1 | 1 | 0.226 | 0.131 | 0.073 |
2 | 0.226 | 1 | 0.351 | 0.515 |
3 | 0.131 | 0.351 | 1 | 0.413 |
4 | 0.073 | 0.515 | 0.413 | 1 |
3.2. Confirmatory factor analysis
In the next part of our analysis we used Structural Equation Modeling to validate and improve a part of the model proposed by Locke and Latham ( 2004 ) that focuses on work characteristics, job satisfaction, organizational commitment and job involvement.
Although the EFA suggest the existence of four, not five, dominant factors in the model, diverging from the model proposed by Locke and Latham ( 2004 ), in our initial experiments we used their original model, shown in Figure Figure4A, 4A , taking into account also organizational policies and procedures.
The evolution of our model (the path coefficients are standardized): (A) the initial model based on Locke and Latham ( 2004 ), (B) no partial mediation, and (C) partial mediation introduced.
In this (default) model, the only independent variable are the job characteristics. The standardized regression coefficients shown in Figure Figure4A 4A (we show standardized coefficients throughout Figure Figure4) 4 ) indicate that the relationship between the satisfaction and organizational commitment seems to be stronger (standard coefficient value of 0.54) than the one between satisfaction and involvement (standard coefficient value of 0.37). The effect of job characteristics and policies and procedures on the employee satisfaction seems to be balanced (standard coefficient values of 0.31 and 0.30, respectively).
The default model does not fit our data well. The Comparative Fit Index (CFI) for this model is 0.759, the Tucker-Lewis Index (TLI) is 0.598, while the Root Mean Square Error of Approximation (RMSEA) is 0.192.
A more detailed analysis of the model revealed that it could indeed (as the EFA suggests) be improved by eliminating the organizational policies and procedures variable, as it has a high residual covariance with job involvement (−3.071) and organizational commitment (−4.934).
We therefore propose to eliminate the “Organizational policies and procedures” variable from the model. Dropping the variable resulted in an improved model shown in Figure Figure4B. 4B . The improved model fits the data better, but the fit is still not good ( RMSEA = 0.125, CFI = 0.915 and TLI = 0.830).
We then hypothesized that job involvement influences organizational commitment, yielding the final model tested in this study (Figure (Figure4C). 4C ). This model turned out to be the one that fits our data very well ( RMSEA = 0.000, CFI = 1 and TLI = 1.015).
4. Mediation analysis
In the final part of the study we conducted the mediation analysis, to understand the relationship between job satisfaction, job involvement and organizational commitment. We used bootstrapping, based on 5000 samples and the confidence interval of 95%.
We started with a model that contains just one relation between satisfaction and commitment (Figure (Figure5A), 5A ), then tested for full mediation (Figure (Figure5B) 5B ) and finally partial mediation as indicated in out proposed model (Figure (Figure5C). 5C ). The unstandardized, direct effect regression weights and the p -values obtained in these experiments are shown in Table Table8. 8 . As the p -values show, all the connections in our three models are significant and that they remain so throughout the evolution of the model. Therefore, job involvement mediates the influence of satisfaction on organizational commitment, but this is a partial mediation and a major part of the effect of satisfaction on the organizational commitment is achieved directly.
Mediation analysis models. (A) , Model 1; (B) , Model 2; (C) , Model 3.
Mediation analysis regression weights.
Model 1 | Organizational commitment < — Satisfaction | 0.47 | 0.363 | 0.586 | 0.000 |
Model 2 | Organizational commitment < — Satisfaction | 0.5 | 0.378 | 0.629 | 0.000 |
Organizational commitment < — Job involvement | 0.32 | 0.25 | 0.397 | 0.000 | |
Model 3 | Job involvement < — Satisfaction | 0.472 | 0.352 | 0.601 | 0.000 |
Organizational commitment < — Satisfaction | 0.368 | 0.263 | 0.487 | 0.000 | |
Organizational commitment < — Job involvement | 0.189 | 0.124 | 0.255 | 0.000 |
5. Discussion
We conducted an empirical study aimed at exploring the relationship between employee satisfaction, job involvement, organizational commitment, work characteristics and organizational policies and procedures.
Based on the relevant scientific literature, recent studies in the area and the integrative model of work motivation of Locke and Latham ( 2004 ), we have formulated an initial conceptual model for our research and hypothesized the connections between the relevant variables. The initial model has been improved iteratively, with the goal of increasing its fit to the empirical data collected in the study.
Starting from the model proposed by Locke and Latham ( 2004 ) we determined that their model does not fit our experimental data well and that we observe a connection between job involvement that is not present in their model. In addition, our data does not support the hypothesis that organizational procedures and policies affect employee satisfaction in the organizations considered. As a result we propose a 4 factor model shown in Figure Figure4C 4C for the relationship between the concepts of work characteristics, employee satisfaction, job involvement and organizational commitment.
We analyzed the results of the study based on 1 general and 5 specific hypotheses. The research confirms that there is a link between work characteristics and job satisfaction (H1), but that it is weak, suggesting that a dominant effect of the material factors of motivation exists.
We have also determined that there is a connection between the rules and procedures variable (H2) and the rest of the variables, indicating that it should be considered in future studies, but that the constructs need to be operationalized better.
The third specific hypothesis (H3) that job satisfaction has a positive relationship with job involvement has been confirmed and we have observed that extrinsic work motivation has a stronger effect than intrinsic, which can be explained by low wages and insufficient funds for everyday life. Other research has confirmed this link (Govender and Parumasur, 2010 ) and showed that most of the employee motivation dimensions have significant links with the dimensions of job involvement (9 out of 10 pairs).
The fourth specific hypothesis (H4 - Job satisfaction will have a positive relationship with organizational commitment) has also been confirmed and we can conclude that a positive relationship exists, which is in line with recent research in this area. The subscale focused on identification with the organization is strongly connected with both intrinsic and extrinsic factors of job satisfaction, but this cannot be said for the subscale focused on organizational attachment. Our research supports the existence of a weak connection between job satisfaction and organizational attachment, both when intrinsic and extrinsic satisfaction is considered as a motivator. A study of work motivation and organizational commitment conducted in Bulgaria (Serbia's neighbor) showed that extrinsic factors are key sources of organizational commitment (Roe et al., 2000 ), as well as that job involvement and the chances for the fulfillment o higher-order needs pay a very important part in the motivation of the employees.
One of the reasons for such a result can be the economic situation in Serbia, which has a severely detrimental effect on work motivation. The transition and economic crisis is accompanied by the shrinking purchasing power of the population, higher unemployment rates and a rising disparity in the salary levels, all of which causes the adjustment of the behavior of the employees to these conditions. Under the economic conditions that exist in Serbia it is to be expected that the individuals will put more value on the salary and advancement prospects than on the opportunities for growth and development, which do not present a direct financial benefit.
The research did not reveal any differences with respect to the sex of the participants, regardless of the variable considered. Other research has not reached a consensus on the matter, as a part of the studies suggests that there are differences in job involvement between men and women (Lodahl and Kejnar, 1965 ; Hall and Mansfield, 1975 ; Rabinowitz and Hall, 1977 ; Saal, 1978 ).
Regarding the ownership of the organizations examined, the research revealed statistically significant differences between the employees working in public and private companies, i.e., that the participants working in the private sector scores significantly higher on every variable except work characteristics, meaning that they are more committed to work, more involved and more satisfied.
In addition, we have determined that there are statistically significant differences when it comes to the position of the employees in the organization's hierarchy, i.e., whether they occupy a managerial or a non-managerial position. The study shows that managers have higher scores for organizational attachment, organizational commitment, intrinsic motivators, extrinsic motivators, job satisfaction and job involvement. We can, therefore, conclude that the managers are more satisfied with their work in general and that they are more committed to the organization than other employees. This can be explained by the fact that, due to the nature of the work they do, they are able to make decisions, they have a more varied job and have better material and non-material rewards. A more detailed analysis of the commitment of the managers, focused on identifying if we are dealing with normative, continuous or affective commitment would provide more insight into the structure and nature of the relationship between the organization and the individual.
Considering the type of the company (manufacturing or service) our study showed that the participants working in manufacturing companies are the ones who identify more with the company, are more committed to the company, more satisfied with their work and more involved.
Our study also identified a significant difference with respect to the vocation of the participants, showing that those with training in humanistic sciences awarded most positive scores to the characteristics of their work, while the opposite was true for those of technical vocations.
The part of our analysis focused on the age of the participants revealed that there is a statistically significant connection between the age and job satisfaction, where the older the employee, the less satisfied he/she is with their job and cares less about the characteristics of work. A reason for such a result could again be found in the economic situation of Serbia and the high unemployment rate (over 20%), causing the younger people to be satisfied with the simple fact that they managed to get a job, rather than being satisfied with the job itself. Another reason could be the difference in the perception of desires and possibilities that exists between the younger and older employees.
The years with the company are negatively linked with employee satisfaction, as well as job characteristics, which is in line with the effect discussed in the previous paragraph, as those with more time spent in the company are less satisfied with their job and care less about the characteristics of their work.
Considering the level of education of the participants, our study showed that the more educated the employees are, the less involved they are in their work and that they seem to care more about the characteristics of their work.
Our research showed that links exist between all the variables studied and that the weakest of these links is between work characteristics and other constructs. Of those, the weakest link in turn is the link between the work characteristics and the subscale of organizational commitment related to the identification with the organization. Thus, we can conclude that work characteristics do not exhibit a significant influence on whether and to what extent the employee will identify with the organization in which he/she works, i.e., whether he/she will be committed to the organization.
A moderate to strong connection exists between organizational commitment and job satisfaction, which is in line with the results of numerous previous studies (Currivan, 1999 ; Meyer et al., 2002 ; Malhotra and Mukherjee, 2004 ; Saari and Judge, 2004 ; Chen, 2007 ; Falkenburg and Schyns, 2007 ; Moynihan and Pandey, 2007 ; Getahun et al., 2008 ; Colakoglu et al., 2010 ; Yücel, 2012 ; Fu and Deshpande, 2014 ).
Our study confirms the existence of a strong connection between job satisfaction and job involvement (Moynihan and Pandey, 2007 ; Wegge et al., 2007 ; Griffin et al., 2010 ; Raymond and Mjoli, 2013 ; Zopiatis et al., 2014 ). Many studies have been carried out in an attempt to examine and define the relationship between job involvement and organizational commitment. Our results are in line with previous studies, which diverge only on the strength of the connection, ranging from moderate to strong (Blau and Boal, 1989 ; Brewer and Lok, 1995 ; Sjöberg and Sverke, 2000 ; Brooks and Swailes, 2002 ; Toga, 2011 ). Our study provides more evidence for the existence of such a relationship, which is moderately strong. Such a relationship does not exist in the integrative model of Locke and Latham ( 2004 ), which served as a starting point for this study.
In addition, we have determined that job involvement has a mediating role between job satisfaction and organizational commitment. Job involvement mediates the influence of satisfaction on organizational commitment, but this is a partial mediation and a major part of the effect of satisfaction on the organizational commitment is achieved directly.
The construct related to organizational policies and procedures seems not to have significant bearing on employee satisfaction, based on the data collected. Two plausible explanations exist for this. The first is the fact that this was the only construct in our study for which a suitable standard questionnaire could not be found, so one had to be constructed specifically, meaning that the construct should be operationalized better in future studies and that this represents the limitation of our study. The other is the fact that in Serbia, as in most transition economies, the lack of suitable institutional and legislative framework at the national level is often accompanied with lax, not clearly defined and even less adhered-to business policies and procedures. In such a state of affairs, the employees seldom have a relatively clear idea of what the policies and procedures of their organization are and are unable to evaluate them with respect to those of other organizations, making this construct very hard to measure. At the same time it can be argued that, in such a situation, the policies and procedures are not perceived by the employees as a significant factor of their organizational behavior and indeed do not affect their work motivation. Whatever the reason, the relationship of policies and procedures to the other variables of work motivation within the transition economies merits further investigation.
Author contributions
JĆ and SM designed the study. JĆ collected the data and conducted the bulk of the research. MD and DĆ conducted the statistical analysis and modeling. All authors took part in the manuscript writing, led by JĆ and DĆ.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Funding. The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2012-2016/ under REA grant agreement n° 295220.
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Job Attitudes and Employee Motivation: Theory, Research and Practice
Cite this chapter.
- Edward E. Lawler III
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Industrial psychologists have been seriously concerned with the measurement, interpretation and implications of job attitudes ever since the Western Electric Studies (Roethlisberger and Dickson, 1939). When Herzberg et al . (1957) reviewed the literature as of 1955, they pointed out that there were severed thousand studies in the psychological literature that were concerned with job attitudes. At the present time there must be at least five thousand studies in the literature. Most of these job attitude studies have had as their major focus job satisfaction.
Revised version of a paper originally presented at the Midwestern Psychological Association Meeting, 8 May 1969. Originally published in Personnel Psychology , 20 (1970) 223–3 7. Reprinted by permission.
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Lawler, E.E. (1981). Job Attitudes and Employee Motivation: Theory, Research and Practice. In: Gruneberg, M.M., Oborne, D.J. (eds) Psychology and Industrial Productivity. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-04809-0_1
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Annual Review of Organizational Psychology and Organizational Behavior
Volume 11, 2024, review article, open access, the role of attitudes in work behavior.
- John D. Kammeyer-Mueller 1 , Alex L. Rubenstein 2 , and Tianna S. Barnes 3
- View Affiliations Hide Affiliations Affiliations: 1 Department of Work and Organizations, Carlson School of Management, University of Minnesota, Minneapolis, Minnesota, USA; email: [email protected] 2 Department of Management, University of Central Florida, Orlando, Florida, USA 3 Organizational Behavior Area, Tuck School of Business, Dartmouth College, Hanover, New Hampshire, USA
- Vol. 11:221-250 (Volume publication date January 2024) https://doi.org/10.1146/annurev-orgpsych-101022-101333
- First published as a Review in Advance on November 14, 2023
- Copyright © 2024 by the author(s). This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third-party material in this article for license information
The relationship between work attitudes such as satisfaction and commitment and behaviors such as task effort, citizenship behavior, absenteeism, job search, and turnover is a perennial focus of organizational research. Over time we have learned a great deal about why, how, and when attitudes predict work behavior, but new questions and theories continue to proliferate. With this review, we aim to synthesize existing organizational literature on attitudes and behavior, focusing on how the field can be organized using principles from Ajzen & Kruglanski's (2019) theory of reasoned goal pursuit. The accumulated evidence answers longstanding questions while simultaneously raising new ones related to the link between general attitudes and specific behavior; the proximal effect of intentions; the role of goals, social contexts, and behavioral control; and the dynamic processes among attitudes, environments, and behavior. We also suggest applications of our organizing framework to enhance future work attitudes and behavior research.
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4.2 Work Attitudes
Learning objectives.
- Define “work attitudes”.
- Describe the relationship between attitudes and behaviors.
- Define and differentiate between job satisfaction and organizational commitment.
- List the factors related to job satisfaction and organizational commitment.
- Describe the consequences of job satisfaction and organizational commitment.
- Identify the ways in which companies can track work attitudes in the workplace.
Our behavior at work often depends on how we feel about being there. Therefore, making sense of how people behave depends on understanding their work attitudes. An attitude refers to our opinions, beliefs, and feelings about aspects of our environment. We have attitudes toward the food we eat, people we interact with, courses we take, and various other things. At work, two particular job attitudes have the greatest potential to influence how we behave. These are job satisfaction and organizational commitment. Job satisfaction refers to the feelings people have toward their job. If the number of studies conducted on job satisfaction is an indicator, job satisfaction is probably the most important job attitude. Institutions such as Gallup Inc. or the Society of Human Resource Management (SHRM) periodically conduct studies of job satisfaction to track how satisfied employees are at work. According to a recent Gallup survey, 90% of the employees surveyed said that they were at least somewhat satisfied with their jobs. The recent SHRM study revealed 40% who were very satisfied (What keeps employees satisfied, 2007). Organizational commitment is the emotional attachment people have toward the company they work for. There is a high degree of overlap between job satisfaction and organizational commitment, because things that make us happy with our job often make us more committed to the company as well. Companies believe that these attitudes are worth tracking because they are often associated with important outcomes such as performance, helping others, absenteeism, and turnover.
How strong is the attitude-behavior link? First of all, it depends on the attitude in question. Your attitudes toward your colleagues may influence whether you actually help them on a project, but they may not be a good predictor of whether you will quit your job. Second, it is worth noting that attitudes are more strongly related to intentions to behave in a certain way, rather than actual behaviors. When you are dissatisfied with your job, you may have the intention to leave. Whether you will actually leave is a different story! Your leaving will depend on many factors, such as availability of alternative jobs in the market, your employability in a different company, and sacrifices you have to make while changing jobs. In other words, while attitudes give us hints about how a person might behave, it is important to remember that behavior is also strongly influenced by situational constraints.
OB Toolbox: How Can You Be Happier at Work?
- Have a positive attitude about it . Your personality is a big part of your happiness. If you are always looking for the negative side of everything, you will find it.
- A good fit with the job and company is important to your happiness . This starts with knowing yourself: What do you want from the job? What do you enjoy doing? Be honest with yourself and do a self-assessment.
- Get accurate information about the job and the company . Ask detailed questions about what life is like in this company. Do your research: Read about the company, and use your social network to understand the company’s culture.
- Develop good relationships at work . Make friends. Try to get a mentor. Approach a person you admire and attempt to build a relationship with this person. An experienced mentor can be a great help in navigating life at a company. Your social network can help you weather the bad days and provide you emotional and instrumental support during your time at the company as well as afterward.
- Pay is important, but job characteristics matter more to your job satisfaction . Don’t sacrifice the job itself for a little bit more money. When choosing a job, look at the level of challenge, and the potential of the job to make you engaged.
- Be proactive in managing organizational life . If the job is stressful, cope with it by effective time management and having a good social network, as well as being proactive in getting to the source of stress. If you don’t have enough direction, ask for it!
- Know when to leave . If the job makes you unhappy over an extended period of time and there is little hope of solving the problems, it may be time to look elsewhere.
What Causes Positive Work Attitudes?
What makes you satisfied with your job and develop commitment to your company? Research shows that people pay attention to several aspects of their work environment, including how they are treated, the relationships they form with colleagues and managers, and the actual work they perform. We will now summarize the factors that show consistent relations with job satisfaction and organizational commitment.
Figure 4.2 Factors Contributing to Job Satisfaction and Organizational Commitment
Personality
Can assessing the work environment fully explain how satisfied we are on the job? Interestingly, some experts have shown that job satisfaction is not purely environmental and is partially due to our personality. Some people have a disposition to be happy in life and at work regardless of environmental factors.
It seems that people who have a positive affective disposition (those who have a tendency to experience positive moods more often than negative moods) tend to be more satisfied with their jobs and more committed to their companies, while those who have a negative disposition tend to be less satisfied and less committed (Connolly & Viswesvaran, 2000; Thoresen et al., 2003). This is not surprising, as people who are determined to see the glass as half full will notice the good things in their work environment, while those with the opposite character will find more things to complain about. In addition to our affective disposition, people who have a neurotic personality (those who are moody, temperamental, critical of themselves and others) are less satisfied with their job, while those who are emotionally more stable tend to be more satisfied. Other traits such as conscientiousness, self-esteem, locus of control, and extraversion are also related to positive work attitudes (Judge et al., 2002; Judge & Bono, 2001; Zimmerman, 2008). Either these people are more successful in finding jobs and companies that will make them happy and build better relationships at work, which would increase their satisfaction and commitment, or they simply see their environment as more positive—whichever the case, it seems that personality is related to work attitudes.
Person–Environment Fit
The fit between what we bring to our work environment and the environmental demands influences our work attitudes. Therefore, person–job fit and person–organization fit are positively related to job satisfaction and commitment. When our abilities match job demands and our values match company values, we tend to be more satisfied with our job and more committed to the company we work for (Kristof-Brown, Zimmerman, & Johnson, 2005; Verquer, Beehr, & Wagner, 2003).
Job Characteristics
The presence of certain characteristics on the job seems to make employees more satisfied and more committed. Using a variety of skills, having autonomy at work, receiving feedback on the job, and performing a significant task are some job characteristics that are related to satisfaction and commitment. However, the presence of these factors is not important for everyone. Some people have a high growth need. They expect their jobs to help them build new skills and improve as an employee. These people tend to be more satisfied when their jobs have these characteristics (Loher et al., 1985; Mathieu & Zajac, 1990).
Psychological Contract
After accepting a job, people come to work with a set of expectations. They have an understanding of their responsibilities and rights. In other words, they have a psychological contract with the company. A psychological contract is an unwritten understanding about what the employee will bring to the work environment and what the company will provide in exchange. When people do not get what they expect, they experience a psychological contract breach , which leads to low job satisfaction and commitment. Imagine that you were told before being hired that the company was family friendly and collegial. However, after a while, you realize that they expect employees to work 70 hours a week, and employees are aggressive toward each other. You are likely to experience a breach in your psychological contract and be dissatisfied. One way of preventing such problems is for companies to provide realistic job previews to their employees (Premack & Wanous, 1985; Wanous et al., 1992; Zhao et al., 2007).
Organizational Justice
A strong influence over our satisfaction level is how fairly we are treated. People pay attention to the fairness of company policies and procedures, treatment from supervisors, and pay and other rewards they receive from the company (Cohen-Charash & Spector, 2001; Colquitt et al., 2001; Meyer et al., 2002).
Relationships at Work
Two strong predictors of our happiness at work and commitment to the company are our relationships with coworkers and managers. The people we interact with, their degree of compassion, our level of social acceptance in our work group, and whether we are treated with respect are all important factors surrounding our happiness at work. Research also shows that our relationship with our manager, how considerate the manager is, and whether we build a trust-based relationship with our manager are critically important to our job satisfaction and organizational commitment (Bauer et al., 2007; Gerstner & Day, 1997; Judge, Piccolo, & Ilies, 2004; Kinicki et al., 2002; Mathieu & Zajac, 1990; Meyer et al., 2002; Rhoades & Eisenberger, 2002). When our manager and upper management listen to us, care about us, and value our opinions, we tend to feel good at work. Even small actions may show employees that the management cares about them. For example, Hotel Carlton in San Francisco was recently taken over by a new management group. One of the small things the new management did created dramatic results. In response to an employee attitude survey, they replaced the old vacuum cleaners housekeepers were using and established a policy of replacing them every year. This simple act of listening to employee problems and taking action went a long way to making employees feel that the management cares about them (Dvorak, 2007).
Not surprisingly, the amount of stress present in our job is related to our satisfaction and commitment. For example, experiencing role ambiguity (vagueness in relation to what our responsibilities are), role conflict (facing contradictory demands at work), and organizational politics, and worrying about the security of our job are all stressors that make people dissatisfied. On the other hand, not all stress is bad. Some stressors actually make us happier! For example, working under time pressure and having a high degree of responsibility are stressful, but they can also be perceived as challenges and tend to be related to high levels of satisfaction (Kinicki et al., 2002; Meyer et al., 2002; Miller, Rutherford, & Kolodinsky, 2008; Podsakoff, LePine, & LePine, 2007).
Work–Life Balance
In the 1950s, people’s work was all-consuming. Employees went to work, worked long hours, and the rest of the family accepted that work came first. As society changed, the concept of always putting work first became outdated. In modern times, more employees expect to lead balanced lives, pursue hobbies, and spend more time with their children while at the same time continuing to succeed at work. The notion of work–family conflict is one cause of job dissatisfaction. This conflict can be particularly strong for women because of the time necessary for pregnancy and giving birth, but men struggle with it as well. When work life interferes with family life, we are more stressed and unhappy with our jobs. Research shows that policies that help employees achieve a balance between their work and personal lives, such as allowing telecommuting, are related to higher job satisfaction. For example, the medical resources group of the pharmaceutical company AstraZeneca International does not have fixed working hours, and employees can work any hours they choose. Motorola’s technological acceleration group also has flexible hours and can work from anywhere (home, office, or a coffee shop) at anytime (Kossek & Ozeki, 1998; Gajendran & Harrison, 2007; Shellenbarger, 2007).
Consequences of Positive Work Attitudes
Why do we care about the job satisfaction and organizational commitment of employees? What behaviors would you expect to see from someone who has more positive work attitudes?
Work attitudes are often good predictors of work behavior, such as performance, citizenship behaviors, absenteeism, and turnover.
Pixabay.com – CC0 public domain.
If you say “higher performance,” you have stumbled upon one of the most controversial subjects in organizational behavior. Many studies have been devoted to understanding whether happy employees are more productive. Some studies show weak correlations between satisfaction and performance while others show higher correlations (what researchers would call “medium-sized” correlations of 0.30) (Iaffaldano & Muchinsky, 1985; Judge et al., 2001; Petty, McGee, & Cavender, 1984; Riketta, 2008). The correlation between commitment and performance tends to be even weaker (Mathieu & Zajac, 1990; Riketta, 2002; Wright & Bonnett, 2002). Even with a correlation of 0.30 though, the relationship may be lower than you may have expected. Why is this so?
It seems that happy workers have an inclination to be more engaged at work. They may want to perform better. They may be more motivated. But there are also exceptions. Think about this: Just because you want to perform, will you actually be a higher performer? Chances are that your skill level in performing the job will matter. There are also some jobs where performance depends on factors beyond an employee’s control, such as the pace of the machine they are working on. Because of this reason, in professional jobs such as engineering and research, we see a higher link between work attitudes and performance, as opposed to manual jobs such as assembly line work (Riketta, 2002). Also, think about the alternative possibility: If you don’t like your job, does this mean that you will reduce your performance? Maybe up to a certain point, but there will be factors that prevent you from reducing your performance: the fear of getting fired, the desire to get a promotion so that you can get out of the job that you dislike so much, or your professional work ethic. As a result, we should not expect a one-to-one relationship between satisfaction and performance. Still, the observed correlation between work attitudes and performance is important and has practical value.
Work attitudes are even more strongly related to organizational citizenship behaviors (behaviors that are not part of our job but are valuable to the organization, such as helping new employees or working voluntary overtime). Satisfied and committed people are absent less frequently and for shorter duration, are likely to stay with a company longer, and demonstrate less aggression at work. Just as important, people who are happy at work are happier with their lives overall. Given that we spend so much of our waking hours at work, it is no surprise that our satisfaction with our job is a big part of how satisfied we feel about life in general (Brush, Moch, & Pooyan, 1987; Carsten & Spector, 1987; Cohen, 1991; Cohen, 1993; Cohen & Hudecek, 1993; Fassina, Jones, & Uggersley, 2008; Hackett, 1989; Herschcovis et al., 2007; Kinicki et al., 2002; LePine, Erez, & Johnson, 2002; Mathieu & Zajac, 1990; Meyer et al., 2002; Organ & Ryan, 1995; Randall, 1990; Scott & Taylor, 1985; Tait, Padgett, & Baldwin, 1989; Tett & Meyer, 1993; Zimmerman, 2008). Finally, a satisfied workforce seems to be related to positive firm-level outcomes, such as customer satisfaction and loyalty, profitability, and safety in the workplace (Harter, Schmidt, & Hayes, 2002).
Assessing Work Attitudes in the Workplace
Given that work attitudes may give us clues as to who will leave or stay, who will perform better, and who will be more engaged, tracking satisfaction and commitment levels is a helpful step for companies. If there are companywide issues that make employees unhappy and disengaged, then these issues need to be resolved. There are at least two systematic ways in which companies can track work attitudes: through attitude surveys and exit interviews. Companies such as KFC Corporation and Long John Silver’s Inc. restaurants, the SAS Institute, Google, and others give periodic surveys to employees to track their work attitudes. Companies can get more out of these surveys if responses are held confidential. If employees become concerned that their individual responses will be shared with their immediate manager, they are less likely to respond honestly. Moreover, the success of these surveys depends on the credibility of management in the eyes of employees. If management periodically collects these surveys but no action comes out of them, employees may adopt a more cynical attitude and start ignoring these surveys, hampering the success of future efforts.
An exit interview involves a meeting with the departing employee. This meeting is often conducted by a member of the human resource management department. The departing employee’s manager is the worst person to conduct the interview, because managers are often one of the primary reasons an employee is leaving in the first place. If conducted well, this meeting may reveal what makes employees dissatisfied at work and give management clues about areas for improvement.
Key Takeaway
Work attitudes are the feelings we have toward different aspects of the work environment. Job satisfaction and organizational commitment are two key attitudes that are the most relevant to important outcomes. Attitudes create an intention to behave in a certain way and may predict actual behavior under certain conditions. People develop positive work attitudes as a result of their personality, fit with their environment, stress levels they experience, relationships they develop, perceived fairness of their pay, company policies, interpersonal treatment, whether their psychological contract is violated, and the presence of policies addressing work–life conflict. When people have more positive work attitudes, they may have the inclination to perform better, display citizenship behaviors, and be absent less often and for shorter periods of time, and they are less likely to quit their jobs within a short period of time. When workplace attitudes are more positive, companies benefit in the form of higher safety and better customer service, as well as higher company performance.
- What is the difference between job satisfaction and organizational commitment? Which do you think would be more strongly related to performance? Which would be more strongly related to turnover?
- Do you think making employees happier at work is a good way of motivating people? When would high satisfaction not be related to high performance?
- In your opinion, what are the three most important factors that make people dissatisfied with their job? What are the three most important factors relating to organizational commitment?
- How important is pay in making people attached to a company and making employees satisfied?
- Do you think younger and older people are similar in what makes them happier at work and committed to their companies? Do you think there are male–female differences? Explain your answers.
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Job Satisfaction and Employee Work Attitude (A Case Study of Employees Working In Commercial Banks In District Nausharo-Feroze-2015)
Looking at the need and importance of employee's job satisfaction for organizational success, this research was made by using workplace environment, salary, benefits and team effectiveness/work group as an independent variables for the job satisfaction, questionnaires were developed for collection of primary data from the employees of both working in public and private commercial banks at District Nausharo-feroze, SPSS 18 was used for measuring the role of discussed above variables and concluded that salary, benefits and team effectiveness/work group positively and significantly linked with job satisfaction, while the relationship between workplace environment is adversely seen to job satisfaction, however gap is seen so large to be fulfilled by other researchers to bring light on same issue
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Job satisfaction: knowledge, attitudes, and practices analysis in a well-educated population.
Graphical Abstract
1. Introduction
2. material and methods, 2.1. participants and procedure, 2.2. statistical analysis, 3. results and discussion, 4. conclusions, author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest.
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Study Population | N | Percentage |
---|---|---|
1043 | ||
Male | 427 | 40.9 |
Female | 616 | 59.1 |
18–30 | 467 | 44.6 |
31–35 | 255 | 24.3 |
36–40 | 82 | 7.8 |
41–45 | 64 | 6.3 |
46–50 | 65 | 6.6 |
51–70 | 110 | 10.4 |
Single | 298 | 28.6 |
Married | 293 | 28.1 |
In a relationship | 428 | 41.0 |
Divorced/Separated | 15 | 1.4 |
Widowed | 9 | 0.9 |
Middle school | 38 | 3.6 |
Degree | 681 | 65.3 |
Primary school | 21 | 2.0 |
High school | 303 | 29.1 |
Architect | 29 | 2.8 |
Business owner | 29 | 2.8 |
Employee | 158 | 15.1 |
Teacher | 44 | 4.2 |
Dealer | 19 | 1.8 |
Student | 146 | 14.0 |
Others | 189 | 35.6 |
Lawyer | 76 | 7.3 |
Unemployed | 10 | 1.0 |
Business Consultant | 17 | 1.6 |
Physician | 232 | 22.2 |
Yes | 276 | 26.5 |
No | 767 | 73.5 |
N. | Statement (Variables) | Agree (%) | Uncertain (%) | Disagree (%) |
---|---|---|---|---|
Work related stress is more frequent in some professional categories. | 86.5 | 6.7 | 6.8 | |
Men are more affected by work related stress than women. | 6.5 | 21.4 | 72.1 | |
Work related stress is a condition that can be accompanied by physical, psychic, and social disturbs. | 91.7 | 7.2 | 1.2 | |
Only 15% of worker, globally, are satisfied by their work. | 28.7 | 61.6 | 9.7 | |
Worker from Northern Italy are more stressed than worker from Southern Italy. | 16.1 | 34.0 | 49.9 | |
Mobbing is a form of physical and verbal abuse toward one or more people. | 88.1 | 10.8 | 1.1 | |
Mobbing and work-related stress increase cardiovascular disease risk. | 31.4 | 61.5 | 0.1 | |
Mobbing refers only to physical violence. | 82.1 | 16.7 | 1.2 | |
Burnout is a syndrome linked to work related stress. | 69.1 | 28.8 | 2.1 | |
INAIL * pays compensation from work related stress. | 21.0 | 61.2 | 17.8 |
N. | Statement (Variables) | Agree (%) | Uncertain (%) | Disagree (%) |
---|---|---|---|---|
Workout is relaxing. | 82.4 | 10.4 | 7.3 | |
Facing a problem there are multiple solutions. | 77.6 | 19.4 | 3.1 | |
Facing an obstacle is demotivating. | 18.9 | 31.6 | 49.5 | |
Challenges are a motivation to do better. | 80.2 | 18.1 | 1.6 | |
Doing a work that satisfy us makes it easier. | 88.3 | 6.7 | 5.0 | |
An inadequate wage makes work harder. | 2.7 | 8.8 | 88.5 | |
Career opportunities push us to do better. | 90.7 | 8.6 | 0.7 | |
Spending time outdoor is regenerating. | 94.2 | 5.0 | 0.8 | |
Speaking openly of our work problem helps get through them. | 72.9 | 21.5 | 5.7 | |
Changes lead to stress. | 50.8 | 34.6 | 14.6 | |
Job related stress is underrated. | 83.7 | 12.2 | 4.1 | |
An excessive workload can lead to job related stress. | 93.4 | 5.9 | 0.7 | |
Unclear work tasks can cause stress. | 86.1 | 12.3 | 1.6 |
N. | Questions | Yes (%) | Often (%) | Sometimes (%) | Never (%) |
---|---|---|---|---|---|
Are you satisfied about your working life? | 30.9 | 28.6 | 31.4 | 6.4 | |
Have you got troubles performing your daily duties? | 6.0 | 10.7 | 61.8 | 21.4 | |
Do you manage to have a social life? | 31.4 | 16.9 | 44.2 | 7.5 | |
Have you got trouble sleeping? | 10.9 | 14.7 | 51.0 | 23.4 | |
Have you got trouble, with transportation, reaching your workplace? | 20.5 | 11.2 | 34.3 | 33.9 | |
Do you drink alcohol after work? | 4.4 | 6.0 | 37.5 | 52.1 | |
Do you receive pressions or intimidation from a superior? | 5.9 | 5.9 | 33.6 | 54.6 | |
Do you think your workload is overwhelming? | 12.8 | 17.5 | 50.3 | 19.4 | |
Have you got trouble focusing? | 6.3 | 14.7 | 61.1 | 17.9 | |
Do you lose your temper if an unexpected event happens? | 12.9 | 13.6 | 55.8 | 17.6 | |
Do you wake up unhappy to go to work? | 11.4 | 11.5 | 55.8 | 21.3 | |
Have you got the feeling to be stuck in a job with no career opportunities? | 17.6 | 10.1 | 37.4 | 34.9 | |
Do you skip work for health problems? | 7.3 | 1.2 | 42.5 | 49.1 | |
Do you hang out with your colleagues outside the office? | 18.0 | 17.0 | 47.5 | 17.5 |
Coefficients Not Standardized | Coefficients Standardized | ||||
---|---|---|---|---|---|
T | Standard Error | Beta | t | p-Value | |
Age | 0.003 | 0.006 | 0.015 | 0.453 | 0.651 |
Sex | 0.723 | 0.106 | 0.188 | 6.834 | <0.001 |
Civil State | −0.011 | 0.058 | −0.005 | −0.181 | 0.857 |
Children | −0.043 | 0.138 | −0.010 | −0.313 | 0.754 |
Education | 0.168 | 0.090 | 0.059 | 1.865 | 0.062 |
Age | −0.021 | 0.009 | −0.070 | −2.348 | 0.19 |
Sex | 0.238 | 0.167 | 0.037 | 1.429 | 0.153 |
Civil State | 0.076 | 0.090 | 0.021 | 0.842 | 0.400 |
Children | 0.084 | 0.213 | 0.012 | 0.393 | 0.694 |
Education | 1.433 | 0.132 | 0.300 | 10.831 | <0.001 |
Knowledge | 0.591 | 0.044 | 0.354 | 13.348 | <0.001 |
Age | 0.010 | 0.021 | 0.017 | 0.486 | 0.627 |
Sex | −0.771 | 0.398 | −0.059 | −1.940 | 0.053 |
Civil State | −0.742 | 0.213 | −0.102 | −3.475 | <0.001 |
Children | −2.600 | 0.503 | −0.177 | −5.168 | <0.001 |
Education | 0.509 | 0.333 | −0.052 | 1.530 | 0.126 |
Knowledge | −0.432 | 0.114 | −0.126 | −3.797 | <0.001 |
Attitudes | 0.537 | 0.072 | 0.262 | 7.427 | <0.001 |
Knowledge | Attitudes | Behaviours | |
---|---|---|---|
Pearson’s correlation | 1 | 0.440 | 0.000 |
p-value | 0.000 | 0.992 | |
Pearson’s correlation | 0.440 | 1 | 0.248 |
p-value | 0.000 | 0.000 | |
Pearson’s correlation | 0.000 | 0.248 | 1 |
p-value | 0.992 | 0.000 |
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Montuori, P.; Sorrentino, M.; Sarnacchiaro, P.; Di Duca, F.; Nardo, A.; Ferrante, B.; D’Angelo, D.; Di Sarno, S.; Pennino, F.; Masucci, A.; et al. Job Satisfaction: Knowledge, Attitudes, and Practices Analysis in a Well-Educated Population. Int. J. Environ. Res. Public Health 2022 , 19 , 14214. https://doi.org/10.3390/ijerph192114214
Montuori P, Sorrentino M, Sarnacchiaro P, Di Duca F, Nardo A, Ferrante B, D’Angelo D, Di Sarno S, Pennino F, Masucci A, et al. Job Satisfaction: Knowledge, Attitudes, and Practices Analysis in a Well-Educated Population. International Journal of Environmental Research and Public Health . 2022; 19(21):14214. https://doi.org/10.3390/ijerph192114214
Montuori, Paolo, Michele Sorrentino, Pasquale Sarnacchiaro, Fabiana Di Duca, Alfonso Nardo, Bartolomeo Ferrante, Daniela D’Angelo, Salvatore Di Sarno, Francesca Pennino, Armando Masucci, and et al. 2022. "Job Satisfaction: Knowledge, Attitudes, and Practices Analysis in a Well-Educated Population" International Journal of Environmental Research and Public Health 19, no. 21: 14214. https://doi.org/10.3390/ijerph192114214
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Please note you do not have access to teaching notes, job attitudes and career behaviors relating to employees' perceived incorporation of artificial intelligence in the workplace: a career self-management perspective.
Personnel Review
ISSN : 0048-3486
Article publication date: 25 April 2022
Issue publication date: 15 May 2023
Artificial intelligence (AI) continues to be deployed in workplaces. While there are many positive outcomes of AI integration, understanding the extent of its consequences on employees is limited. Hence, this study examines employee perceptions of AI and the consequent influences on employee job attitudes and career behaviors. Utilizing the career self-management perspective, the authors explore the mechanisms related to employee perceptions of AI and potential career exploration behaviors.
Design/methodology/approach
The authors tested several hypotheses using employee survey data ( N = 345 call center agents) collected from a firm that recently integrated AI in their operations. The authors collected data on four occasions (one-week intervals between data collection) to determine employee perceptions of AI taking over jobs (Time 1); job insecurity (Time 2); psychological distress (Time 3); and career exploration behavior (Time 4).
The findings reveal that perceptions of AI taking over jobs are significantly associated with higher career exploration behaviors. In addition, the authors found job insecurity and psychological distress as pathways that explain why employees having perceptions of AI taking over their jobs influences their career exploration behaviors.
Originality/value
These findings fill a gap in the literature by revealing how AI integration in the workplace, despite its many positive outcomes for organizations, can have a negative influence on employees. The negative employee perceptions of AI can lead to career exploration behaviors. From the career self-management perspective, the authors offer novel insights that have practical implications for talent management, particularly the need to communicate effectively to employees about AI integration in the workplace to avoid them feeling threatened and leaving their jobs.
- Artificial intelligence
- Job insecurity
- Psychological distress
- Career exploration behavior
Presbitero, A. and Teng-Calleja, M. (2023), "Job attitudes and career behaviors relating to employees' perceived incorporation of artificial intelligence in the workplace: a career self-management perspective", Personnel Review , Vol. 52 No. 4, pp. 1169-1187. https://doi.org/10.1108/PR-02-2021-0103
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ORIGINAL RESEARCH article
Job satisfaction, organizational commitment and job involvement: the mediating role of job involvement.
- Department of Industrial Engineering and Management, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
We conducted an empirical study aimed at identifying and quantifying the relationship between work characteristics, organizational commitment, job satisfaction, job involvement and organizational policies and procedures in the transition economy of Serbia, South Eastern Europe. The study, which included 566 persons, employed by 8 companies, revealed that existing models of work motivation need to be adapted to fit the empirical data, resulting in a revised research model elaborated in the paper. In the proposed model, job involvement partially mediates the effect of job satisfaction on organizational commitment. Job satisfaction in Serbia is affected by work characteristics but, contrary to many studies conducted in developed economies, organizational policies and procedures do not seem significantly affect employee satisfaction.
1. Introduction
In the current climate of turbulent changes, companies have begun to realize that the employees represent their most valuable asset ( Glen, 2006 ; Govaerts et al., 2011 ; Fulmer and Ployhart, 2014 ; Vomberg et al., 2015 ; Millar et al., 2017 ). Satisfied and motivated employees are imperative for contemporary business and a key factor that separates successful companies from the alternative. When considering job satisfaction and work motivation in general, of particular interest are the distinctive traits of these concepts in transition economies.
Serbia is a country that finds itself at the center of the South East region of Europe (SEE), which is still in the state of transition. Here transition refers to the generally accepted concept, which implies economic and political changes introduced by former socialist countries in Europe and beyond (e.g., China) after the years of economic stagnation and recession in the 1980's, in the attempt to move their economy from centralized to market-oriented principles ( Ratkovic-Njegovan and Grubic-Nesic, 2015 ). Serbia exemplifies many of the problems faced by the SEE region as a whole, but also faces a number of problems uniquely related to the legacy of its past. Due to international economic sanctions, the country was isolated for most of the 1990s, and NATO air strikes, related to the Kosovo conflict and carried out in 1999, caused significant damage to the industry and economy. Transitioning to democracy in October 2000, Serbia embarked on a period of economic recovery, helped by the introduction of long overdue reforms, major inflows of foreign investment and substantial assistance from international funding institutions and others in the international community. However, the growth model on which Serbia and other SEE countries relied between 2001 and 2008, being based mainly on rapid capital inflows, a credit-fueled domestic demand boom and high current account deficit (above 20% of GDP in 2008), was not accompanied by the necessary progress in structural and institutional reforms to make this model sustainable ( Uvalic, 2013 ). The central issue of the transition process in Serbia and other such countries is privatization of public enterprises, which in Serbia ran slowly and with a number of interruptions, failures and restarts ( Radun et al., 2015 ). The process led the Serbian industry into a state of industrial collapse, i.e., deindustrialization. Today there are less than 400,000 employees working in the industry in Serbia and the overall unemployment rate exceeds 26% ( Milisavljevic et al., 2013 ). The average growth of Serbia's GDP in the last 5 years was very low, at 0.6% per year, but has reached 2.7% in 2016 ( GDP, 2017 ). The structure of the GDP by sector in 2015 was: services 60.5%, industry 31.4%, and agriculture 8.2% ( Statistical Office of the Republic of Serbia, 2017 ).
Taking into account the specific adversities faced by businesses in Serbia, we formulated two main research questions as a starting point for the analysis of the problem of work motivation in Serbia:
1. To what extent are the previously developed models of work motivation (such as the model of Locke and Latham, 2004 ) applicable to the transition economy and business practices in Serbia?
2. What is the nature of the relationships between different segments of work motivation (job satisfaction, organizational commitment, job involvement and work characteristics)?
The Hawthorn experiment, conducted in early 1930s ( Mayo, 1933 ), spurred the interest of organizational behavior researchers into the problem of work motivation. Although Hawthorn focused mainly on the problems of increasing the productivity and the effects of supervision, incentives and the changing work conditions, his study had significant repercussions on the research of work motivation. All modern theories of work motivation stem from his study.
Building on his work, Maslow (1943) published his Hierarchy of Needs theory, which remains to this day the most cited and well known of all work motivation theories according to Denhardt et al. (2012) . Maslow's theory is a content-based theory , belonging to a group of approaches which also includes the ERG Theory by Alderfer (1969) , the Achievement Motivation Theory, Motivation-Hygiene Theory and the Role Motivation Theory.
These theories focus on attempting to uncover what the needs and motives that cause people to act in a certain way, within the organization, are. They do not concern themselves with the process humans use to fulfill their needs, but attempt to identify variables which influence this fulfillment. Thus, these theories are often referred to as individual theories , as they ignore the organizational aspects of work motivation, such as job characteristics or working environment, but concentrate on the individual and the influence of an individual's needs on work motivation.
The approach is contrasted by the process theories of work motivation, which take the view that the concept of needs is not enough to explain the studied phenomenon and include expectations, values, perception, as important aspects needed to explain why people behave in certain ways and why they are willing to invest effort to achieve their goals. The process theories include: Theory of Work and Motivation ( Vroom, 1964 ), Goal Setting Theory ( Locke, 1968 ), Equity Theory ( Adams, 1963 ), as well as the The Porter-Lawler Model ( Porter and Lawler, 1968 ).
Each of these theories has its limitations and, while they do not contradict each other, they focus on different aspects of the motivation process. This is the reason why lately they have been several attempts to create an integrated theory of work motivation, which would encompass all the relevant elements of different basic theories and explain most processes taking place within the domain of work motivation, the process of motivation, as well as employee expectations ( Donovan, 2001 ; Mitchell and Daniels, 2002 ; Locke and Latham, 2004 ). One of the most influential integrated theories is the theory proposed by Locke and Latham (2004) , which represents the basis for the study presented in this paper.
The model of Locke and Latham is show in Figure 1 . As the figure shows, it includes individual needs, values and motive, as well as personality. Incorporating the theory of expectations, the goal-setting theory and the social-cognitive theory, it focuses on goal setting, goals themselves and self-efficiency. Performance, by way of achievements and rewards, affects job satisfaction. The model defines relations between different constructs and, in particular, that job satisfaction is affected by the job characteristics and organizational policy and procedures and that it, in turn, affects organizational commitment and job involvement. Locke and Latham suggested that the theory they proposed needs more stringent empirical validation. In the study presented here, we take a closer look at the part of their theory which addresses the relationship between job satisfaction, involvement and organizational commitment. The results of the empirical study conducted in industrial systems suggest that this part of the model needs to be improved to reflect the mediating role of job involvement in the process through which job satisfaction influences organizational commitment.
Figure 1 . Diagram of the Latham and Locke model. The frame on the right indicates the part of the model the current study focuses on.
Job satisfaction is one of the most researched phenomena in the domain of human resource management and organizational behavior. It is commonly defined as a “pleasurable or positive emotional state resulting from the appraisal of oneś job or job experiences” ( Schneider and Snyder, 1975 ; Locke, 1976 ). Job satisfaction is a key element of work motivation, which is a fundamental determinant of one's behavior in an organization.
Organizational commitment, on the other hand, represents the degree to which the employees identify with the organization in which they work, how engaged they are in the organization and whether they are ready leave it ( Greenberg and Baron, 2008 ). Several studies have demonstrated that there is a strong connection between organizational commitment, job satisfaction and fluctuation ( Porter et al., 1974 ), as well as that people who are more committed to an organization are less likely to leave their job. Organizational commitment can be thought of as an extension of job satisfaction, as it deals with the positive attitude that an employee has, not toward her own job, but toward the organization. The emotions, however, are much stronger in the case of organizational commitment and it is characterized by the attachment of the employee to the organization and readiness to make sacrifices for the organization.
The link between job satisfaction and organizational commitment has been researched relatively frequently ( Mathieu and Zajac, 1990 ; Martin and Bennett, 1996 ; Meyer et al., 2002 ; Falkenburg and Schyns, 2007 ; Moynihan and Pandey, 2007 ; Morrow, 2011 ). The research consensus is that the link exists, but there is controversy about the direction of the relationship. Some research supports the hypothesis that job satisfaction predicts organizational commitment ( Stevens et al., 1978 ; Angle and Perry, 1983 ; Williams and Hazer, 1986 ; Tsai and Huang, 2008 ; Yang and Chang, 2008 ; Yücel, 2012 ; Valaei et al., 2016 ), as is the case in the study presented in this paper. Other studies suggest that the organizational commitment is an antecedent to job satisfaction ( Price and Mueller, 1981 ; Bateman and Strasser, 1984 ; Curry et al., 1986 ; Vandenberg and Lance, 1992 ).
In our study, job involvement represents a type of attitude toward work and is usually defined as the degree to which one identifies psychologically with one's work, i.e., how much importance one places on their work. A distinction should be made between work involvement and job involvement. Work involvement is conditioned by the process of early socialization and relates to the values one has wrt. work and its benefits, while job involvement relates to the current job and is conditioned with the one's current employment situation and to what extent it meets one's needs ( Brown, 1996 ).
2.1. Research Method
Based on the relevant literature, the results of recent studies and the model proposed by Locke and Latham (2004) , we designed a conceptual model shown in Figure 2 . The model was then used to formulate the following hypotheses:
H0 - Work motivation factors, such as organizational commitment, job involvement, job satisfaction and work characteristics, represent interlinked significant indicators of work motivation in the organizations examined.
H1 - Work characteristics will have a positive relationship with job satisfaction.
H2 - Organizational policies and procedures will have a positive relationship with job satisfaction.
H3 - Job satisfaction will have a positive relationship with job involvement.
H4 - Job satisfaction will have a positive relationship with organizational commitment.
H5 - Job involvement will have a mediating role between job satisfaction and organizational commitment.
Figure 2 . The research model.
2.2. Participants
For the purpose of this study, 125 organizations from the Serbian Chamber of Commerce database ( www.stat.gov.rs ) were randomly selected to take part in this study. Each organization was contacted and an invitation letter was sent. Eight companies expressed a desire to take part and provided contact details for 700 of their employees. The questionnaire distribution process was conducted according to Dillman's approach ( Dillman, 2011 ). Thus, the initial questionnaire dissemination process was followed by a series of follow-up email reminders, if required. After a 2-month period, out of 625 received, 566 responses were valid. Therefore, the study included 566 persons, 235 males (42%) and 331 women (58%) employed by 8 companies located in Serbia, Eastern Europe.
The sample encompassed staff from both public (53%) and private (47%) companies in manufacturing (31%) and service (69%) industries. The companies were of varied size and had between 150 and 6,500 employees, 3 of them (37.5%) medium-sized (<250 employees) and 5 (62.5%) large enterprises.
For the sake of representativeness, the sample consisted of respondents across different categories of: age, years of work service and education. The age of the individuals was between 20 and 62 years of age and we divided them into 5 categories as shown in Table 1 . The table provides the number of persons per category and the relative size of the category wrt. to the whole sample. In the same table, a similar breakdown is shown in terms of years a person spent with the company, their education and the type of the position they occupy within the company (managerial or not).
Table 1 . Data sample characteristics.
2.3. Ethics Statement
The study was carried out in accordance with the Law on Personal Data Protection of the Republic of Serbia and the Codex of Professional Ethics of the University of Novi Sad. The relevant ethics committee is the Ethics Committee of the Faculty of Technical Sciences of the University of Novi Sad.
All participants took part voluntarily and were free to fill in the questionnaire or not.
The questionnaire included a cover sheet explaining the aim of the research, ways in which the data will be used and the anonymous nature of the survey.
2.4. Measures
This study is based on a self reported questionnaire as a research instrument.
The questionnaire was developed in line with previous empirical findings, theoretical foundations and relevant literature recommendations ( Brayfield and Rothe, 1951 ; Weiss et al., 1967 ; Mowday et al., 1979 ; Kanungo, 1982 ; Fields, 2002 ). We then conducted a face validity check. Based on the results, some minor corrections were made, in accordance with the recommendations provided by university professors. After that, the pilot test was conducted with 2 companies. Managers from each of these companies were asked to assess the questionnaire. Generally, there were not any major complaints. Most of the questions were meaningful, clearly written and understandable. The final research instrument contained 86 items. For acquiring respondents' subjective estimates, a five-point Likert scale was used.
The questionnaire took about 30 min to fill in. It consisted of: 10 general demographic questions, 20 questions from the Minnesota Satisfaction Questionnaire (MSQ), 15 questions from the Organizational Commitment Questionnaire (OCQ), 10 questions from the Job Involvement Questionnaire (JIQ), 18 questions of the Brayfield-Rothe Job Satisfaction Scale (JSS), 6 questions of the Job Diagnostic Survey (JDS) and 7 additional original questions related to the rules and procedures within the organization.
The Minnesota Satisfaction Questionnaire (MSQ), 20 items short form ( Weiss et al., 1967 ), was used to gather data about job satisfaction of participants. The MSQ – short version items, are rated on 5-points Likert scale (1 very dissatisfied with this aspect of my job, and 5 – very satisfied with this aspect of my job) with two subscales measuring intrinsic and extrinsic job satisfaction.
Organizational commitment was measured using The Organizational Commitment Questionnaire (OCQ). It is a 15-item scale developed by Mowday, Steers and Porter ( Mowday et al., 1979 ) and uses a 5-point Likert type response format, with 3 factors that can describe this commitment: willingness to exert effort, desire to maintain membership in the organization, and acceptance of organizational values.
The most commonly used measure of job involvement has been the Job Involvement Questionnaire (JIQ, Kanungo, 1982 ), 10-items scale designed to assess how participants feel toward their present job. The response scale on a 5-point scale varied between “strongly disagree/not applicable to me” to “strongly agree/fully applicable”.
The Brayfield and Rothe's 18-item Job Satisfaction Index (JSI, Brayfield and Rothe, 1951 ) was used to measure overall job satisfaction, operationalized on five-point Likert scale.
Psychometric analysis conducted showed that all the questionnaires were adequately reliable (Cronbach alpha > 0.7). The suitability of the data for factor analysis has been confirmed using the Kaiser-Meyer-Olkin (KMO) Test (see Table 2 ).
Table 2 . Basic psychometric characteristics of the instruments.
For further analysis we used summary scores for the different scales. Job satisfaction was represented with the overall score of MSQ, as the data analysis revealed a strong connection between the extrinsic and intrinsic motivators. The overall score on the OCQ was used as a measure of organizational commitment, while the score on JDS was used to reflect job characteristics. The JSS and JIQ scales have been modified, by eliminating a few questions, in order to improve reliability and suitability for factor analysis.
Statistical analysis was carried out using the SPSS software. The SPSS Amos structural equation modeling software was used to create the Structural Equation Models (SEMs).
The data was first checked for outliers using box-plot analysis. The only outliers identified were related to the years of employment, but these seem to be consistent to what is expected in practice in Serbia, so no observations needed to be removed from the dataset.
3.1. Exploratory Factor Analysis
Although research dimensions were empirically validated and confirmed in several prior studies, to the best of our knowledge, the empirical confirmation of the research instrument (i.e., questionnaire) and its constituents in the case of Serbia and South-Eastern Europe is quite scarce. Furthermore, the conditions in which previous studies were conducted could vary between research populations. Also, such differences could affect the structure of the research concepts. Thus, exploratory factor analysis (EFA) was conducted in order to empirically validate the structure of research dimensions and to test the research instrument, within the context of the research population of South-Eastern Europe and Serbia.
Using the maximum likelihood method we identified four factors, which account for 67% of the variance present in the data. The scree plot of the results of the analysis is shown in Figure 3 . As the figure shows, we retained the factors above the inflection point.
Figure 3 . Scree plot of the EFA results.
The communalities for the variables loading into the factors are shown in Table 3 and the questions corresponding to our variables are listed in Table 4 . Initial communalities are estimates of the proportion of variance in each variable accounted for by all components (factors) identified, while the extraction communalities refer to the part of the variance explained by the four factors extracted. The model explains more of the variance then the initial factors, for all but the last variable.
Table 3 . Communalities.
Table 4 . Questions that build our constructs.
More detailed results of the EFA for the four factors, are shown in Table 5 . The unique loadings of specific items measured with the different questions in the questionnaire on the factors identified are shown in the pattern matrix (Table 6 ). As the table shows, each factor is loaded into by items that were designed to measure a specific construct and there are no cross-loadings. The first factor corresponds to job characteristics, second to job satisfaction, third to job involvement and the final to organizational commitment. The correlation between the factors is relatively low and shown in Table 7 .
Table 5 . Total variance explained by the dominant factors.
Table 6 . Pattern matrix for the factors identified.
Table 7 . Factor correlation matrix.
3.2. Confirmatory Factor Analysis
In the next part of our analysis we used Structural Equation Modeling to validate and improve a part of the model proposed by Locke and Latham (2004) that focuses on work characteristics, job satisfaction, organizational commitment and job involvement.
Although the EFA suggest the existence of four, not five, dominant factors in the model, diverging from the model proposed by Locke and Latham (2004) , in our initial experiments we used their original model, shown in Figure 4A , taking into account also organizational policies and procedures.
Figure 4 . The evolution of our model (the path coefficients are standardized): (A) the initial model based on Locke and Latham (2004) , (B) no partial mediation, and (C) partial mediation introduced.
In this (default) model, the only independent variable are the job characteristics. The standardized regression coefficients shown in Figure 4A (we show standardized coefficients throughout Figure 4 ) indicate that the relationship between the satisfaction and organizational commitment seems to be stronger (standard coefficient value of 0.54) than the one between satisfaction and involvement (standard coefficient value of 0.37). The effect of job characteristics and policies and procedures on the employee satisfaction seems to be balanced (standard coefficient values of 0.31 and 0.30, respectively).
The default model does not fit our data well. The Comparative Fit Index (CFI) for this model is 0.759, the Tucker-Lewis Index (TLI) is 0.598, while the Root Mean Square Error of Approximation (RMSEA) is 0.192.
A more detailed analysis of the model revealed that it could indeed (as the EFA suggests) be improved by eliminating the organizational policies and procedures variable, as it has a high residual covariance with job involvement (−3.071) and organizational commitment (−4.934).
We therefore propose to eliminate the “Organizational policies and procedures” variable from the model. Dropping the variable resulted in an improved model shown in Figure 4B . The improved model fits the data better, but the fit is still not good ( RMSEA = 0.125, CFI = 0.915 and TLI = 0.830).
We then hypothesized that job involvement influences organizational commitment, yielding the final model tested in this study (Figure 4C ). This model turned out to be the one that fits our data very well ( RMSEA = 0.000, CFI = 1 and TLI = 1.015).
4. Mediation Analysis
In the final part of the study we conducted the mediation analysis, to understand the relationship between job satisfaction, job involvement and organizational commitment. We used bootstrapping, based on 5000 samples and the confidence interval of 95%.
We started with a model that contains just one relation between satisfaction and commitment (Figure 5A ), then tested for full mediation (Figure 5B ) and finally partial mediation as indicated in out proposed model (Figure 5C ). The unstandardized, direct effect regression weights and the p -values obtained in these experiments are shown in Table 8 . As the p -values show, all the connections in our three models are significant and that they remain so throughout the evolution of the model. Therefore, job involvement mediates the influence of satisfaction on organizational commitment, but this is a partial mediation and a major part of the effect of satisfaction on the organizational commitment is achieved directly.
Figure 5 . Mediation analysis models. (A) , Model 1; (B) , Model 2; (C) , Model 3.
Table 8 . Mediation analysis regression weights.
5. Discussion
We conducted an empirical study aimed at exploring the relationship between employee satisfaction, job involvement, organizational commitment, work characteristics and organizational policies and procedures.
Based on the relevant scientific literature, recent studies in the area and the integrative model of work motivation of Locke and Latham (2004) , we have formulated an initial conceptual model for our research and hypothesized the connections between the relevant variables. The initial model has been improved iteratively, with the goal of increasing its fit to the empirical data collected in the study.
Starting from the model proposed by Locke and Latham (2004) we determined that their model does not fit our experimental data well and that we observe a connection between job involvement that is not present in their model. In addition, our data does not support the hypothesis that organizational procedures and policies affect employee satisfaction in the organizations considered. As a result we propose a 4 factor model shown in Figure 4C for the relationship between the concepts of work characteristics, employee satisfaction, job involvement and organizational commitment.
We analyzed the results of the study based on 1 general and 5 specific hypotheses. The research confirms that there is a link between work characteristics and job satisfaction (H1), but that it is weak, suggesting that a dominant effect of the material factors of motivation exists.
We have also determined that there is a connection between the rules and procedures variable (H2) and the rest of the variables, indicating that it should be considered in future studies, but that the constructs need to be operationalized better.
The third specific hypothesis (H3) that job satisfaction has a positive relationship with job involvement has been confirmed and we have observed that extrinsic work motivation has a stronger effect than intrinsic, which can be explained by low wages and insufficient funds for everyday life. Other research has confirmed this link ( Govender and Parumasur, 2010 ) and showed that most of the employee motivation dimensions have significant links with the dimensions of job involvement (9 out of 10 pairs).
The fourth specific hypothesis (H4 - Job satisfaction will have a positive relationship with organizational commitment) has also been confirmed and we can conclude that a positive relationship exists, which is in line with recent research in this area. The subscale focused on identification with the organization is strongly connected with both intrinsic and extrinsic factors of job satisfaction, but this cannot be said for the subscale focused on organizational attachment. Our research supports the existence of a weak connection between job satisfaction and organizational attachment, both when intrinsic and extrinsic satisfaction is considered as a motivator. A study of work motivation and organizational commitment conducted in Bulgaria (Serbia's neighbor) showed that extrinsic factors are key sources of organizational commitment ( Roe et al., 2000 ), as well as that job involvement and the chances for the fulfillment o higher-order needs pay a very important part in the motivation of the employees.
One of the reasons for such a result can be the economic situation in Serbia, which has a severely detrimental effect on work motivation. The transition and economic crisis is accompanied by the shrinking purchasing power of the population, higher unemployment rates and a rising disparity in the salary levels, all of which causes the adjustment of the behavior of the employees to these conditions. Under the economic conditions that exist in Serbia it is to be expected that the individuals will put more value on the salary and advancement prospects than on the opportunities for growth and development, which do not present a direct financial benefit.
The research did not reveal any differences with respect to the sex of the participants, regardless of the variable considered. Other research has not reached a consensus on the matter, as a part of the studies suggests that there are differences in job involvement between men and women ( Lodahl and Kejnar, 1965 ; Hall and Mansfield, 1975 ; Rabinowitz and Hall, 1977 ; Saal, 1978 ).
Regarding the ownership of the organizations examined, the research revealed statistically significant differences between the employees working in public and private companies, i.e., that the participants working in the private sector scores significantly higher on every variable except work characteristics, meaning that they are more committed to work, more involved and more satisfied.
In addition, we have determined that there are statistically significant differences when it comes to the position of the employees in the organization's hierarchy, i.e., whether they occupy a managerial or a non-managerial position. The study shows that managers have higher scores for organizational attachment, organizational commitment, intrinsic motivators, extrinsic motivators, job satisfaction and job involvement. We can, therefore, conclude that the managers are more satisfied with their work in general and that they are more committed to the organization than other employees. This can be explained by the fact that, due to the nature of the work they do, they are able to make decisions, they have a more varied job and have better material and non-material rewards. A more detailed analysis of the commitment of the managers, focused on identifying if we are dealing with normative, continuous or affective commitment would provide more insight into the structure and nature of the relationship between the organization and the individual.
Considering the type of the company (manufacturing or service) our study showed that the participants working in manufacturing companies are the ones who identify more with the company, are more committed to the company, more satisfied with their work and more involved.
Our study also identified a significant difference with respect to the vocation of the participants, showing that those with training in humanistic sciences awarded most positive scores to the characteristics of their work, while the opposite was true for those of technical vocations.
The part of our analysis focused on the age of the participants revealed that there is a statistically significant connection between the age and job satisfaction, where the older the employee, the less satisfied he/she is with their job and cares less about the characteristics of work. A reason for such a result could again be found in the economic situation of Serbia and the high unemployment rate (over 20%), causing the younger people to be satisfied with the simple fact that they managed to get a job, rather than being satisfied with the job itself. Another reason could be the difference in the perception of desires and possibilities that exists between the younger and older employees.
The years with the company are negatively linked with employee satisfaction, as well as job characteristics, which is in line with the effect discussed in the previous paragraph, as those with more time spent in the company are less satisfied with their job and care less about the characteristics of their work.
Considering the level of education of the participants, our study showed that the more educated the employees are, the less involved they are in their work and that they seem to care more about the characteristics of their work.
Our research showed that links exist between all the variables studied and that the weakest of these links is between work characteristics and other constructs. Of those, the weakest link in turn is the link between the work characteristics and the subscale of organizational commitment related to the identification with the organization. Thus, we can conclude that work characteristics do not exhibit a significant influence on whether and to what extent the employee will identify with the organization in which he/she works, i.e., whether he/she will be committed to the organization.
A moderate to strong connection exists between organizational commitment and job satisfaction, which is in line with the results of numerous previous studies ( Currivan, 1999 ; Meyer et al., 2002 ; Malhotra and Mukherjee, 2004 ; Saari and Judge, 2004 ; Chen, 2007 ; Falkenburg and Schyns, 2007 ; Moynihan and Pandey, 2007 ; Getahun et al., 2008 ; Colakoglu et al., 2010 ; Yücel, 2012 ; Fu and Deshpande, 2014 ).
Our study confirms the existence of a strong connection between job satisfaction and job involvement ( Moynihan and Pandey, 2007 ; Wegge et al., 2007 ; Griffin et al., 2010 ; Raymond and Mjoli, 2013 ; Zopiatis et al., 2014 ). Many studies have been carried out in an attempt to examine and define the relationship between job involvement and organizational commitment. Our results are in line with previous studies, which diverge only on the strength of the connection, ranging from moderate to strong ( Blau and Boal, 1989 ; Brewer and Lok, 1995 ; Sjöberg and Sverke, 2000 ; Brooks and Swailes, 2002 ; Toga, 2011 ). Our study provides more evidence for the existence of such a relationship, which is moderately strong. Such a relationship does not exist in the integrative model of Locke and Latham (2004) , which served as a starting point for this study.
In addition, we have determined that job involvement has a mediating role between job satisfaction and organizational commitment. Job involvement mediates the influence of satisfaction on organizational commitment, but this is a partial mediation and a major part of the effect of satisfaction on the organizational commitment is achieved directly.
The construct related to organizational policies and procedures seems not to have significant bearing on employee satisfaction, based on the data collected. Two plausible explanations exist for this. The first is the fact that this was the only construct in our study for which a suitable standard questionnaire could not be found, so one had to be constructed specifically, meaning that the construct should be operationalized better in future studies and that this represents the limitation of our study. The other is the fact that in Serbia, as in most transition economies, the lack of suitable institutional and legislative framework at the national level is often accompanied with lax, not clearly defined and even less adhered-to business policies and procedures. In such a state of affairs, the employees seldom have a relatively clear idea of what the policies and procedures of their organization are and are unable to evaluate them with respect to those of other organizations, making this construct very hard to measure. At the same time it can be argued that, in such a situation, the policies and procedures are not perceived by the employees as a significant factor of their organizational behavior and indeed do not affect their work motivation. Whatever the reason, the relationship of policies and procedures to the other variables of work motivation within the transition economies merits further investigation.
Author Contributions
JĆ and SM designed the study. JĆ collected the data and conducted the bulk of the research. MD and DĆ conducted the statistical analysis and modeling. All authors took part in the manuscript writing, led by JĆ and DĆ.
The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2012-2016/ under REA grant agreement n° 295220.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Keywords: work, job, satisfaction, involvement, employee, commitment, organizational, behavior
Citation: Ćulibrk J, Delić M, Mitrović S and Ćulibrk D (2018) Job Satisfaction, Organizational Commitment and Job Involvement: The Mediating Role of Job Involvement. Front. Psychol . 9:132. doi: 10.3389/fpsyg.2018.00132
Received: 07 November 2017; Accepted: 29 January 2018; Published: 16 February 2018.
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Copyright © 2018 Ćulibrk, Delić, Mitrović and Ćulibrk. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Milan Delić, [email protected]
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