A Regional Competition Analysis of Medical Tourism Industry-an Example of Taiwan

Q3 Engineering
Shofang Chang, C. Pu, Ping-Jung Hsieh
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引用次数: 4

Abstract

This study explores a process that conducts regional competition analysis of medical tourism. It conducts a Modified Delphi expert consensus process and analytic network process (ANP) to explore the associations and weights of the factors in the evaluation model. The results demonstrate that the government factors, including government support and the legal system, are the most important competitive factors of the medical tourism industry. High-ranking sub-criteria, including the marketing strategy and physician training systems, are related to the government factor. Short-term treatment medical programs, such as cosmetic surgery and dentistry, are priorities for development. A friendly legal system and government-led marketing strategies are strongly suggested for development in Taiwan. Superior healthcare quality and a well-established and a physician training system are Taiwans main competitive advantages compared with the rest of Asia. The model provides an objective view for evaluating the importance of competitive factors for developing medical tourism and builds a framework to analyze the regional competition of medical tourism.
医疗旅游业的区域竞争分析——以台湾为例
本研究探讨医疗旅游区域竞争分析的过程。采用改进的德尔菲专家共识过程和分析网络过程(ANP)来探索评价模型中各因素的关联关系和权重。结果表明,政府支持和法律制度是医疗旅游产业最重要的竞争因素。排名靠前的子标准,包括营销策略和医师培训体系,与政府因素有关。短期治疗医疗项目,如整容手术和牙科,是发展的重点。友好的法律制度和政府主导的营销策略是在台湾发展的强烈建议。卓越的医疗质量和完善的医师培训体系是台湾相对于亚洲其他地区的主要竞争优势。该模型为评价竞争因素对医疗旅游发展的重要性提供了客观视角,构建了医疗旅游区域竞争分析框架。
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来源期刊
International Journal of Information and Management Sciences
International Journal of Information and Management Sciences Engineering-Industrial and Manufacturing Engineering
CiteScore
0.90
自引率
0.00%
发文量
0
期刊介绍: - Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence
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