PENGARUH VARIABEL DEMOGRAFI DAN KEPUASAN KERJA TERHADAP ORGANIZATIONAL CITIZENSHIP BEHAVIOR (OCB) TENAGA MEDIS DAN PARAMEDIS STUDI PADA RUMAH SAKIT IBU DAN ANAK (RSIA) MUTIARA BUNDA

Organizational Citizenship Behavior (OCB) is an attitude that is essential for the medical personnel so that the quality of care for patients is always awake, and loyalty to the organization can be improved. This study aims to investigate the influence of demographic variables and job satisfaction e...

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Bibliographic Details
Main Authors: Rimayanti ., Hastin Umi Anisah
Format: Article
Language:Indonesian
Published: Universitas Lambung Mangkurat 2016-04-01
Series:JWM: Jurnal Wawasan Manajemen
Online Access:http://jwm.ulm.ac.id/id/index.php/jwm/article/view/21
Description
Summary:Organizational Citizenship Behavior (OCB) is an attitude that is essential for the medical personnel so that the quality of care for patients is always awake, and loyalty to the organization can be improved. This study aims to investigate the influence of demographic variables and job satisfaction either partially or simultaneously on Organizational Citizenship Behavior (OCB) in medical and paramedical personnel in RSIA Mother of Pearl, which was tested using multiple regression analysis. The results of the study at 43 medical personnel revealed that demographic variables partially positive and significant effect on OCB, whereas job satisfaction is partially positive and significant effect on OCB. Demographic variables and job  satisfaction  have  positive  and  significant  effect  on  OCB.  Based  on  these results, implications for the management of the hospital is that the demographics and job satisfaction should be considered in order to encourage OCB behaviors among medical and paramedical personnel, so that the satisfaction and comfort of the patient as well as the smooth operation of the hospital can be improved. Keywords : Demographic variables, job satisfaction, Organizational Citizenship Behavior (OCB), medical and paramedical personnel, multiple regression analysis.
ISSN:2337-5191
2527-6034