| 摘要(英) |
In recent years, Taiwanese society has been affected by aging population and declining fertility rate, resulting in dramatic changes in the demographic structure, and extended medical care and other related issues. For the reason that the government is also actively promoting long-term policies, in response to the demand for long-term exposure. But it faces a limited source of long-term financial resources, and the challenge of inadequate care systems and human resources. So how to use commercial insurance to fill the long-term gap will be an important issue.
The purpose of this study is to explore the analysis of key factors affecting commercial long-term care insurance sales. Through literature review and expert focus interviews, the key factors affecting commercial long-term care insurance sales are summarized. These factors cover the four facets of government facet, consumer facet, social facet and commodity facet and Seventeen important factors contained in the facet, to organize and access data from ten experts in the field of practice and academia and long-term care for commercial insurance, then through the results of the questionnaire experts, measurement analysis with DEMATEL, Identify the causal relationship between these factors, and important facets and assessment factors, for decision makers to make decision-making references and improve measures.
The results of this study show that both government facet and social facet are the dominant factors, all of which are the most important influencers affecting commercial long-term care insurance sales. By improving social facets and government facets, consumer facets and commodity facets will be affected, which will increase the market share and penetration rate of commercial long-term care insurance. If analyzed from factors, the "Long-term Insurance Law" is the most important leading and influencing factor, and "aging population " is the most important driver. This result can provide the basis for decision-making by the government in the design and marketing of goods, or when consumers are planning insurance, in order to reduce the impact of aging population and declining fertility rate. |
| 參考文獻 |
一、中文文獻
1.丁愛玲，(2008)，「商業長期看護保險消費者購買行為之探討」，淡江大學保險學系保險經營碩士論文。
2.王文生，(2017)，「台灣健康保險系統有關健康照護機構永續發展之重要指標」，國立中央大學企業管理學系博士論文。
3.王柔文，(2014)，「社區照顧導入無線射頻辨識系統之關鍵成功因素」，逢甲大學合作經濟學系碩士論文。
4.曲同光、崔道華、彭美琪、陳信婷，(2015)，「我國長期照顧保險制度規劃概述」，長庚科技學刊，23期，pp. 1 - 14。
5.吳泓怡、陳挺豪、張洧銘，(2014)，「應用決策實驗室分析法於運動休閒鞋消費者之購買決策關鍵評估因素分析」，運動健康休閒學報，5期，pp. 74 - 86。
6.吳淑瓊，(2005)，「人口老化與長期照護政策」，國家政策季刊，4卷4期，pp. 5 - 24。
7.林士聘，(2010)，「長期看護保險商品及消費者購買須知之探討」，國立政治大學經營管理碩士學程(EMBA)學位論文。
8.周台龍，(2009)，「台灣長期照護財源籌措論文集」，國立政治大學財政研究所博士論文。
9.姚振華，(2013)，「高齡化社會下台灣民眾對長期照護保險認知與機制建構之研究」，國立高雄第一科技大學管理研究所博士論文。
10.陳玉芬，(2011)，「臺灣民眾對於政府與商業長期照護保險認知之研究」，國立高雄第一科技大學風險管理與保險研究所碩士論文。
11.陳亞薇，(2013)，「高齡少子化之養老保險需求與發展」，義守大學財務金融學系碩士論文。
12.陳明珠、林清壽、廖崇凱，(2015)，「中高齡者購買商業型長期照護保險行為意向之探究」，福祉科技與服務管理學刊，3卷2期，pp. 189 - 208。
13.陳昇鴻，(2008)，“Cognition Map of Alternative Fuel Vehicles Using DEMATEL Method”，開南大學物流與航運管理學系碩士論文。
14.許仕杰，(2013)，「照顧行為負荷認知對民眾投保長期照顧險的影響」，國立成功大學高階管理碩士在職專班(EMBA)學位論文。
15.莊雅雯，(2012)，「壽命延長與風險態度對於長期看護保險需求行為之分析」，淡江大學保險學系保險經營碩士班學位論文。
16.張紹勳，(2012)，模糊多準則評估法及統計，初版，五南圖書出版公司，台北市。
17.國家發展委員會，(2018)，「中華民國人口推估（2018至2065年）」報告。
18.曾妙慧、繆震宇，(2013)，「影響長期看護保險需求因素之探討」，人口學刊，47期，pp. 87 - 125。
19.溫志峰，(2006)，「台北市民對於長期看護保險投保態度之研究」，銘傳大學風險管理與保險學系碩士在職專班學位論文。
20.詹火生，(2009)，「因應長期照護保險法制規劃檢視『我國長期照顧十年計畫』成效及發展方向」，行政院經濟建設委員會委託研究報告。
21.詹勳展，(2011)，「結合FDM與DANP方法應用於老人養護機構區位選擇之研究」，國立臺北科技大學工業工程與管理研究所碩士論文。
22.衛生福利部社會福利保險司，(2011)，2010年國民長期照護需要調查統計結果報告。
23.蔡旭明，(2008)，「人口結構轉變對勞動參與率及經濟成長的影響」，東吳大學國際經營與貿易學系碩士論文。
24.蔡佳樺，(2012)，「台灣民眾對長期照護的認知與購買長期看護保險之意願」，逢甲大學企業管理學系碩士班學位論文。
25.鄭琇文，(2017)，「商業型長期看護保險產品之購買意願與偏好研究」，銘傳大學風險管理與保險學系碩士在職專班學位論文。
26.謝宜芳，(2011)，「整合修正後SIPA與DEMATEL於台灣通訊服務業服務品質衡量之研究」，中華大學科技管理博士學位學程學位論文。
27.戴敬軒，(2016)，「影響臺灣長期照護需求的因素之分析：政府長照與商業保險」， 國立高雄第一科技大學風險管理與保險研究所碩士論文。
28.嚴永舜，(2008)，「台灣高速鐵路場站特定區對區域地方發展影響之多評準決策」，開南大學企業與創業管理學系碩士論文。
二、英文文獻
1.Brau, R. and Bruni, L. M., (2006). “Eliciting the demand for long term care coverage：a discrete choice modelling analysis”, Fondazione Eni Enrico Mattei, Vol. 71, pp. 1-30.
2.Brown, J. R. and Finkelstein, A., (2009). “The private market for long-term care insurance in the United States: a review of the evidence”, The Journal of Risk and Insurance, Vol 76(1), pp. 5-29.
3.Cramer, A. T. and G. A. Jensen., (2006). “Why Don’t People Buy Long-Term-Care Insurance?” The Journals of Gerontology Series B, Vol. 61(4), pp. S185-S193.
4.Fontela, E., & Gabus, A. (1976). “The DEMATEL observer”. DEMATEL 1976 Report. Switzerland,Y.Geneva: Battelle Geneva Research Center.
5.Holzmann R, and Hinz R. (2005). “Old age income support in the 21th century: An International Perspective on Pension Systems and Reform”. World Bank. Washington, D.C.
6.Hori,S. & Shimizu,Y. (1999). Designing methods of human interface for supervisory control systems. Control engineering practice, Vol. 7(11), pp. 1413-1419.
7.Lee, W. S., Huang, Y. H., Chang, Y. Y. and Cheng, C. M. (2011). “Analysis of decision making factors for equity investment by DEMATEL and analytic network process”. Expert Systems with Applications, Vol 38(7), pp. 8375-8383.
8.Lin, C.J. and Wu, W.W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, Vol. 34, pp. 205-213.
9.McShane, M. K. and Cox, L. A., (2009). “Issuance decisions and strategic focus： the case of long-term care insurance”, The Journal of Risk and Insurance, Vol. 76(1), pp. 87-108.
10.Shieh, W.J., Blau, D.M. and Denison, A.M. (2010). “A DEMATEL method in identifying key success factors of hospital service quality”. Knowledge-Based Systems, Vol. 23(3), pp. 277-282.
11.Tamura, H. and Akazawa, K. (2005)., “Stochastic DEMATEL for structural modeling of a complex problematique for realizing safe, secure and reliable society”. Journal of Telecommunications and Information Technology, Vol. 3, pp. 64-72.
12.Tzeng, G.H., Chiang, C.H., and Li, C.W. (2007). “Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL”. Expert Systems with Applications, Vol. 32(4), pp. 1028-1044.
13.Wu, W.W., and Lee, Y.T. (2007). “Developing global managers’ competencies using the fuzzy DEMATEL method”. Expert Systems with Applications, Vol. 32(2), pp. 499-507.
14.Zhou-Richter, T., M. J. Browne, and H. Gründl. (2010). “Don’t They Care? Or, Are They Just Unware? Risk Perception and the Demand for Long-Term Care Insurance.” Journal of Risk and Insurance, Vol. 77(4), pp. 715-747.
三、網路資料
1.行政院全球資訊網，重要政策，取自https://www.ey.gov.tw/Page/2124AB8A95F79A75。
2.社團法人台灣長期照護專業協會，取自http://www.ltcpa.org.tw/。
3.財團法人保險事業發展中心，保險資料庫，取自http://insprod.tii.org.tw/database/insurance。
4.國家發展委員會，人口推估，取自https://www.ndc.gov.tw/Default.aspx。
5.衛生福利部，取自https://www.mohw.gov.tw/mp-1.html。
6.衛生福利部，長照政策專區，取自https://1966.gov.tw/LTC/mp-201.html。 |
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