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

Journal of Economics and Financial Analysis

Cemil Kuzey¹ 

[1] Murray State University

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

DOI  :  10.1991/jefa.v2i1.a12

学科分类：社会科学、人文和艺术（综合）

来源: Tripal Publishing House

【 摘 要 】

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.

【 授权许可】

CC BY-NC-ND