Journal of Economics and Financial Analysis, 2 (1), pp. 45-68, [2018]
URI: https://ojs.tripaledu.com/jefa/article/view/32/26

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


Murray State University, United States


DOI: http://dx.doi.org/10.1991/jefa.v2i1.a12

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.

Keywords

Job Satisfaction; Health Care Workers; Support Vector Machine (SVM)

JEL Classification

J28, J54, J59, J81.

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Note

This paper is transferred from the European Journal of Economic and Political Studies following the permanent closure of the journal and re-published at JEFA to ensure its citation continuation.



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