Document Type
Journal Article
Publication Date
Winter 1-1-2018
Publication Title
Journal of Economics and Financial Analysis
Department
Computer Science and Information Systems
College/School
Arthur J. Bauernfeind College of Business
Abstract
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.
Recommended Citation
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. http://dx.doi.org/10.1991/jefa.v2i1.a12
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Comments
This paper was transferred from its 2012 publication in the European Journal of Economic and Political Studies following the permanent closure of the journal and re-published at JEFA.