Hospital business outsourcing risk management and internal control

碩士 === 元智大學 === 資訊管理學系 === 102 === The use of private resources and energy to enhance the efficiency and quality of public services are the best tools for a hospital remain competitive, because of rapid changes in the medical environment and the emergence of a knowledge economy. Hospitals need to ma...

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Main Authors: Jeh-Feng Liou, 劉浙芬
Other Authors: Chien-Lung Chan
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/94899230926032852002
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spelling ndltd-TW-102YZU053960192016-03-11T04:13:30Z http://ndltd.ncl.edu.tw/handle/94899230926032852002 Hospital business outsourcing risk management and internal control 醫院業務委外風險管理與內控 Jeh-Feng Liou 劉浙芬 碩士 元智大學 資訊管理學系 102 The use of private resources and energy to enhance the efficiency and quality of public services are the best tools for a hospital remain competitive, because of rapid changes in the medical environment and the emergence of a knowledge economy. Hospitals need to make a more efficient use of existent resources and reduce setup costs. As a result, the use of private sector outsourcing has become widespread. However, with collaboration processes, a successful outsourcing strategy is dependent on the establishment of a comprehensive risk management framework. This study establishes evaluation indicators for the outsourcing of risk management and internal control. First, based on current outsourcing literature, four phases have been identified: 1. feasibility and planning; 2. design; 3. implementation; and 4. operation. A total of 51 risk factors across each phase have also been identified from the relevant literature on transaction cost theory, resource-based theory, and principal-agent theory as well as perspectives and evaluation indicators for public-private partnerships. The risk factors for hospital outsourcing have been revised according to risk management functions and frameworks to identify risk factors for outsourcing risk management for a hospital. The Fuzzy Delphi Method (FDM) was applied to extract 28 risk factors through expert group discussion before applying a Fuzzy Analytic Hierarchy Process (FAHP) to obtain the factor weights based on the identified factors above. Finally, major risk factor assessment indicators have been grouped according to decision-making position to carry out empirical analysis. Statistical analysis of the empirical results is used to reorder the risk factors. In academic terms, the contribution of this study is to the development of risk factors to be used as a reference for related research and a basis for internal controls when carrying out future risk identification. This study can be used as a reference for outsourcing decisions for the hospital industry. Chien-Lung Chan 詹前隆 學位論文 ; thesis 123 zh-TW
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description 碩士 === 元智大學 === 資訊管理學系 === 102 === The use of private resources and energy to enhance the efficiency and quality of public services are the best tools for a hospital remain competitive, because of rapid changes in the medical environment and the emergence of a knowledge economy. Hospitals need to make a more efficient use of existent resources and reduce setup costs. As a result, the use of private sector outsourcing has become widespread. However, with collaboration processes, a successful outsourcing strategy is dependent on the establishment of a comprehensive risk management framework. This study establishes evaluation indicators for the outsourcing of risk management and internal control. First, based on current outsourcing literature, four phases have been identified: 1. feasibility and planning; 2. design; 3. implementation; and 4. operation. A total of 51 risk factors across each phase have also been identified from the relevant literature on transaction cost theory, resource-based theory, and principal-agent theory as well as perspectives and evaluation indicators for public-private partnerships. The risk factors for hospital outsourcing have been revised according to risk management functions and frameworks to identify risk factors for outsourcing risk management for a hospital. The Fuzzy Delphi Method (FDM) was applied to extract 28 risk factors through expert group discussion before applying a Fuzzy Analytic Hierarchy Process (FAHP) to obtain the factor weights based on the identified factors above. Finally, major risk factor assessment indicators have been grouped according to decision-making position to carry out empirical analysis. Statistical analysis of the empirical results is used to reorder the risk factors. In academic terms, the contribution of this study is to the development of risk factors to be used as a reference for related research and a basis for internal controls when carrying out future risk identification. This study can be used as a reference for outsourcing decisions for the hospital industry.
author2 Chien-Lung Chan
author_facet Chien-Lung Chan
Jeh-Feng Liou
劉浙芬
author Jeh-Feng Liou
劉浙芬
spellingShingle Jeh-Feng Liou
劉浙芬
Hospital business outsourcing risk management and internal control
author_sort Jeh-Feng Liou
title Hospital business outsourcing risk management and internal control
title_short Hospital business outsourcing risk management and internal control
title_full Hospital business outsourcing risk management and internal control
title_fullStr Hospital business outsourcing risk management and internal control
title_full_unstemmed Hospital business outsourcing risk management and internal control
title_sort hospital business outsourcing risk management and internal control
url http://ndltd.ncl.edu.tw/handle/94899230926032852002
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