公立醫院員工激勵因素之分析－以蒙古南戈壁省為例

NHUIR > College of Social Sciences > Department of International and China Studies, The M.A. Program of Asia-Pacific Studies and Public Policy Studies > Disserations and Theses(M.A. Program in Public Policy Studies) > Item 987654321/28505

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Title:	公立醫院員工激勵因素之分析－以蒙古南戈壁省為例
Other Titles:	The Analysis on Motivation Factors of Public Hospital Employees: A Case of Umnugobi Province in Mongolia
Authors:	芮森 TSENGEL, ODGEREL
Contributors:	國際事務與企業學系公共政策研究碩士班彭安麗 PENG, AN-LI
Keywords:	動機;工作環境;醫院工作人員;蒙古 motivation;working environment;hospital employee;Mongolia
Date:	2020
Issue Date:	2022-08-08 11:42:58 (UTC+8)
Abstract:	管理人員為了實現組織的目標需要領導和激勵員工。由於蒙古醫院存在著勞動力缺少的問題，目前每位醫生的患者人數，從259位患者增為293人，其與醫療保健部門的勞動力至為相關。這項研究旨在分析哪些因素影響了南戈壁省公立醫院員工的工作動機，探討醫院應如何激勵員工地開展工作，提供優質的服務，成為一個成功的組織，支持滿足客戶和患者的需求以及改善服務的質量和工作分配。　　本研究使用統計調查方法以242名員工為母體，其中211名受訪者接受了調查，反饋率為100％。其中因有15名員工在其他省份和國外在受培訓課程，16名員工請了產假， 31名員工沒有參與問卷調查。研究操作採用社會科學統計軟件包（SPSS）22.0版和適當的統計檢驗對數據進行分析，包括描述性分析、可靠性檢驗、因子分析、成分分析、相關性檢驗、回歸和變異數分析，最後並提出結論。　　It is well known that managers need to lead and motivate employees to achieve the organization's objectives. The workforce of the healthcare sector of Mongolia is very crucial because there was a problem with workforce shortages, as seen from the number of patients per doctor is from 259 to 293 patients.　　The study aims to analyze what factors are influencing employees' motivation for the Public hospital of Umnugobi province. That will be a critical study to define the way of solving the problem for providing services with excellent quality by employees, performing their work with motivation, being a successful organization, supporting to meet with client and patients' needs, and improving quality and assignments of service.　　A survey method used and as the target population was 242 employees, of which 211 respondents have surveyed with a 100% response rate obtained. Remained 31 employees did not involve in the questionnaire. The reason is that 15 employees had training course on other provinces and abroad, 16 employees had maternity leave. The data were analyzed using the Statistical Package for Social Sciences (SPSS) version 22.0 with appropriate statistical tests, which are descriptive analysis, reliability test, factor analysis, component analysis, correlation test, regression, and variance analysis and discussion about the results with a conclusion.
Appears in Collections:	[Department of International and China Studies, The M.A. Program of Asia-Pacific Studies and Public Policy Studies] Disserations and Theses(M.A. Program in Public Policy Studies)

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