Investigation of Job Satisfaction Dimensions of Health Care Knowledge Workers: Factor Analysis - Multivariate Approach

Cemil Kuzey
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The investigation of the job satisfaction dimensions is crucial before further analysis such as testing the research hypotheses. The widely used approach includes Exploratory Factor Analysis with principal components analysis, unweighted least squares, generalized least squares, maximum likelihood, principal axis factoring, alpha factoring, and image factoring. The study focuses on investigation of the underlying dimensions of the job satisfaction of the knowledge workers in healthcare using multiple methods. The target sample of the research is the health care personnel including nurses, administrators, and doctors as the knowledge workers. Toward this end, a theory-based classical approaches are utilized. Healthcare employee’s job satisfaction is an important in the successful performance of institutions. A rich literature of academic studies has showed that personnel’s satisfaction is critical for the successful performance of organizations. The dimensions healthcare workers’ satisfaction as the knowledge workers were extracted by employing: (i) Exploratory Factor Analysis method, (ii) Confirmatory Factor Analysis. The sample of this study were collected via a survey from health care personnel as knowledge workers. There are 249 observations collected from healthcare workers. A set of 34 items are utilized to investigate the job satisfaction of the healthcare knowledge workers. The results of the factor analysis indicated that six underlying crucial factors are extracted: attitude of management, organizational support, job security, reward and pay, working conditions, attitude of colleagues.
Healthcare, Factor Analysis, Knowledge worker, Job satisfaction.
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Anderson, C. H. (1984). Job design: Employee satisfaction and performance in retail stores. Journal of Small Business Management, 22(000004), 9-16.
Cruz, N. M., V. M. Perez, C. T. Cantero. (2009). The influence of employee motivation on knowledge transfer. Journal of Knowledge Management, 13(6), 478-490.

Delen, D., Zaim, H., Kuzey, C., & Zaim, S. (2013). A comparative analysis of machine learning systems for measuring the impact of knowledge management practices. Decision Support Systems, 54(2), 1150-1160.

Dickter, D. N., Roznowski, M., & Harrison, D. A. (1996). Temporal tempering: An event history analysis of the process of voluntary turnover. Journal of Applied Psychology, 81(6), 705.
DiGiovanni, M. (2004). Developing Knowledge Workers on the Factory Floor. Development and Learning in Organizations, 18(4), 10-12.
Drucker, P. (1959). The Landmarks of Tomorrow. Harper & Row, New York.
Drucker, P. (1999). Knowledge-worker productivity: the biggest challenge. California Management Review, 41(2), 79-85.
Ersel, B. (2003). Bilgi çağında çalışma ilişkileri ve beyin göçü. II. Ulusal Bilgi, Ekonomi ve Yönetim Kongresi, Bildiriler Kitabı, Derbent-İzmit, 709-721.
Field, A. (2009). Discovering statistics using SPSS. Sage Publications.
Furnham, A. (1986). Response bias, social desirability and dissimulation. Personality and individual differences, 7(3), 385-400.

Hair Jr, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis. Cengage Learning.

Horvath, D. (2006). Knowledge worker definition.

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.

IBM Corp. (Released 2011). IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.
IBM Corp. (Released 2019). IBM SPSS Modeler for Windows, Version 18.2. Armonk, NY: IBM Corp.
Ilies, R., & Judge, T. A. (2004). An experience-sampling measure of job satisfaction and its relationships with affectivity, mood at work, job beliefs, and general job satisfaction. European journal of work and organizational psychology, 13(3), 367-389.

Janz, B. J., Colquitt,(1997). Knowledge Worker Team Effectiveness. Personnel Psychology, 50(4), 55-62.
Kaiser, H.F. (1974). An Index of Factorial Simplicity. Psycometrika, 39, 31-36.

Kelley, R. E. (1990). Managing the new workforce. Machine Design, 62(9), 109-113.
Kelloway, E. K. , Barling J. (2000). Knowledge work as organizational behavior. International Journal of Management Reviews.2(3), 287-304.

Kolo, E. S. (2018). Job satisfaction among healthcare workers in a tertiary center in kano, Northwestern Nigeria. Nigerian Journal of Basic and Clinical Sciences, 15(1), 87-91.
Kuzey, C. (2012). Veri madenciliğinde destek vektör makinaları ve karar ağaçları yöntemlerini kullanarak bilgi çalışanlarının kurum performansı üzerine etkisinin ölçülmesi ve bir uygulama. Yayımlanmamış Doktora Tezi, İstanbul Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul.
Kuzey, C. (2018). Impact of health care employees’ job satisfaction on organizational performance support vector machine approach. Journal of Economics and Financial Analysis, 2(1), 45-68.
Lang, J. C. (2001). Managerial Concerns in Knowledge Management. Journal of Knowledge Management, 5(1), 46-47.
Locke, E. A. (1976). The nature and causes of job satisfaction. In MD Dunnette. Handbook of industrial and organizational psychology, 1297-1349.
Locke, E.A. (1969). What is job satisfaction? Organizational Behavior and Human Performance, 4(4), 309-336.
Malhotra, Y. (1998). Knowledge management, knowldege organizations and knowledge workers: A view from the front lines. Maeil Business Newspaper, February 19.
Mengistu, M. M., & Bali, A. G. (2015). Factors associated to job satisfaction among healthcare workers at public hospitals of west Shoa zone, Oromia regional state, Ethiopia: a cross sectional study. Science Journal of Public Health, 3(2), 161-167.
Morris, B. (1998). The service profit chain: How leading companies link profit and growth to loyalty, satisfaction, and value. International Journal of Service Industry Management, 9(3), 312-313.
Narang, R., & Dwivedi, A. (2010). Managing the job satisfaction of knowledge workers: an empirical investigation. Asia Pacific Journal of Business and Management, 1(1), 1-14.
Nunnally, J.C. (1978). Psychometric Theory, New York: McGraw-Hill.
Prince, W.W. (2021). Knowledge workers. Encyclopedia of Management, Reference for Business.
Saravanamuthu, K. (2004). Gold-collarism in the academy: The dilemma in transforming bean-counters into knowledge consultants. Critical Perspectives on Accounting, 15, 580-589.
Spector, P.E. (1997). Job satisfaction: application, assessment, causes, and consequences. Thousand Oaks, CA: Sage.
Stevens, J.P. (1992). Applied multivariate statistics for the social sciences. Hillsdale, NJ: Earlbaum.
Stewart, T.A. (1997). Intellectual capital: The new wealth of organizations, New York: Doubleday.
Syptak, J.M., Marsland, D.W., and Ulmer, D. (1999). Job satisfaction: Putting theory into practice. Family Practice Management.
Teas, K.R. (1981). A test of a model of department store salespeoples’ job satisfaction. Journal of Reailing, (67), 3-25.
Weiss, H. (2002). Deconstructing job satisfaction: separating evaluations, beliefs and affective experiences. Human Resource Management Review. (12), 173-94.
Zaim H., S. Zaim. (2007). The impacts of tacit knowledge on organizations' performance. Proceedings of the 6th International Congress on Knowledge, Management and Economy, İstanbul, Turkey, 94-102.
Zhang, S. X., Liu, J., Jahanshahi, A. A., Nawaser, K., Yousefi, A., Li, J., & Sun, S. (2020). At the height of the storm: Healthcare staff’s health conditions and job satisfaction and their associated predictors during the epidemic peak of COVID-19. Brain, Behavior, and Immunity, 87, 144-146.

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