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Impact of Health Care Employees Job Satisfaction on Organizational Performance Support Vector Machine Approach

Author

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  • Cemil Kuzey

    (Murray State University)

Abstract

This study is undertaken to search for key factors that contribute to job satisfaction among health care workers, and also to determine the impact of these underlying dimensions of employee satisfaction on organizational performance. Exploratory Factor Analysis (EFA) is applied to initially uncover the key factors, and then, in the next stage of analysis, a popular data mining technique, Support Vector Machine (SVM) is employed on a sample of 249 to determine the impact of job satisfaction factors on organizational performance. According to the proposed model, the main factors are revealed to be management's attitude, pay/reward, job security and colleagues.

Suggested Citation

  • Cemil Kuzey, 2018. "Impact of Health Care Employees Job Satisfaction on Organizational Performance Support Vector Machine Approach," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 2(1), pages 45-68.
    • Handle: RePEc:trp:01jefa:jefa0012
    DOI: http://dx.doi.org/10.1991/jefa.v2i1.a12
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    References listed on IDEAS

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    1. Case, B.G.S. & Himmelstein, D.U. & Woolhandler, S., 2002. "No care for the caregivers: Declining health insurance coverage for health care personnel and their children, 1988-1998," American Journal of Public Health, American Public Health Association, vol. 92(3), pages 404-408.
    2. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
    3. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
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    Cited by:

    1. Ali Katebi & Mohammad Hossain HajiZadeh & Ali Bordbar & Amir Masoud Salehi, 2022. "The Relationship Between “Job Satisfaction” and “Job Performance”: A Meta-analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 21-42, March.
    2. Kelefa Mwantimwa & Mesia Ilomo & Elias Mwabungulu & Debora Mbilinyi & Mwajabu Possi & Magreth Matonya, 2022. "Graduate’ future intention to venture entrepreneurial activities: the foreseen personal, sectoral and macro barriers," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 12(1), pages 143-155, December.

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    More about this item

    Keywords

    Job Satisfaction; Health Care Workers; Support Vector Machine (SVM).;
    All these keywords.

    JEL classification:

    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • J54 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Producer Cooperatives; Labor Managed Firms
    • J59 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Other
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

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