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研究生:蘇裕盛
論文名稱:消費者接受數位保險意願之探究
論文名稱(外文):Factors Affecting Adoption of Online Insurance
指導教授:黃禮林黃禮林引用關係
指導教授(外文):Huang,LeeLien Ken
口試委員:仇介民曾鼎翔
口試委員(外文):Chou,Chieh-MinTseng, Ting-Hsiang
口試日期:2017-07-19
學位類別:碩士
校院名稱:逢甲大學
系所名稱:科技管理碩士學位學程
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:51
中文關鍵詞:數位保險科技接受模型保險科技信任隱私
外文關鍵詞:online insurancetechnology acceptance modelinsurance technologytrustprivacy
相關次數:
  • 被引用被引用:3
  • 點閱點閱:324
  • 評分評分:
  • 下載下載:21
  • 收藏至我的研究室書目清單書目收藏:0
在這電子商務越來越發達的時代,保險公司為了提供給消費者全面性的金融服務,趁著這股趨勢發展,順勢結合了電子商務的系統,產生一個新的服務系統,如線上投保、電子保單等各種數位化服務。
而電子商務的時代來臨,大量個人資訊可能外洩甚至遭受盜用,產生損失。所以,消費者在接受新服務時,將會額外考量隱私可能外洩的問題。消費者對隱私的關心會影響到信任,對隱私顧慮愈多,信任就會降低。故本研究以科技接受模式(TAM)為理論基礎,同時整合隱私、信任和TAM,深入消費者接受保險數位化意願和各因素之間的關係。希望提供在未來給保險公司如欲推廣保險數位化服務可以有參考之依據。

In this high- developed e-commerce era, in order to offer fully finance service to customer, insurance company follows e-commerce trend and provides a new e-service system, such as online insurance and e-insurance policy.
However, with high- developed e-commerce era coming, individuals’ information can be leaked and stole. This is a huge problem that customer will consider when accepting new services. This issue also effects trust between new services and customer. The more misgivings, the less trust new services will gain. Thus, this study is based on Technology Acceptance Model (TAM) and integrates privacy, trust as well to understand how willingly customer will accept e-insurance and other factors. If there’s any insurance company which would like to promote e-service, I am happy to offer my study as their reference.

目 錄
第1章 緒論 1
1.1 研究動機及背景 1
1.2 研究目的 2
1.3 論文架構 3
第2章 研究觀念與假說建立 4
2.1 數位保險定義與功能 4
2.2科技接受相關模型 5
2.2.1理性行為理論(Theory of Reasoned Action, TRA) 5
2.2.2計畫行為理論(Theory of Planned Behavior,TPB) 6
2.2.3科技接受模型(Technology acceptance model, TAM) 7
2.3感知風險:隱私 11
2.4信任… 14
2.5研究模型 15
2.6研究假說 18
第3章 研究方法 20
3.1 問卷設計 20
3.2樣本分析 對象時間怎蒐集 25
3.3 資料分析方法 25
第4章 研究發現與討論 27
4.1敘述性統計分析 27
4.2各構面測量分析 28
4.3相關分析 28
4.4迴歸分析 29
4.4.1隱私對信任的影響 29
4.4.2信任與知覺易用性對知覺有用性的影響 29
4.4.3信任、知覺有用性與知覺易用性對行為意圖的影響 30
4.5假設檢定結果 31
第5章 結論 33
5.1研究結論 33
5.2理論與實務貢獻 35
5.3研究限制 35
5.4未來研究方向 36
參考文獻 37


參考文獻
吳亞馨, 朱素玥, & 方文昌. (2008). 網路購物信任與科技接受模式之實證研究. 資訊管理學報, 頁, 123-152.
許永明 英國銀行保險制度之革新. 保險經營與制度, 2013, 12.2: 159-174.
陳惟凡, 陳振楠, & 伍台國. (2016). 電子商務平臺之安全風險評估模式: 植基於 ISO 27001 資訊安全管理系統與個人資料保護法. 電腦稽核, (34), 28-42.
喻奉天, 蘇國瑋, 許孟祥, 王昭文, & 林盈君. (2010). 不確定性與信任對線上消費者購買意願之影響. 電子商務學報, 12(3), 431-455.
彭金隆 (2015)保險通路 3.0 趨勢與傳統業務通路因應策略探討. 保險專刊, 31(2),1-25。
黃麗安. (2009). 我國保險業經營導入電子商務之研究. 中州學報, (28), 307-322.
黃麗蓉(2013)。探討隱私、信任影響社群網站使用者之研究-以Facebook為例。逢甲大學科技管理研究所碩士論文。
廖則竣、陶蓓麗、劉玉萍、蕭銘偉、黃姮儀(2012)。網路隱私顧慮及網站信任對使用意向之影響─比較初始顧客及重複顧客之觀點。中華民國資訊管理學報,19(3),509-531。
蕭銘雄, & 鄭曉平. (2008). 以延伸式科技接受模型探討消費者線上投保人壽保險之意願. 電子商務學報, 10(1), 1-25.
賴冠名(2010)。使用者資訊隱私顧慮和網站隱私機制對信任的影響—以Facebook台灣使用者為例。國立中央大學資訊管理研究所碩士論文。
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour.

Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39). Springer Berlin Heidelberg.

Bauer, R. A. (1960). Consumer behavior as risk taking. Dynamic marketing for a changing world, 398.

Cox, D. F. (1967). Risk taking and information handling in consumer behavior.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982-1003.

Deutsch, M. (1962). Cooperation and trust: Some theoretical notes.

Dinev, T. and Hart, P. (2006), ‘An extended privacy calculus model for e-commerce
transactions’, Information Systems Research, Vol. 17, No. 1, pp. 61-80.

Fogel, J., & Nehmad, E. (2009). Internet social network communities: Risk taking, trust, and privacy concerns. Computers in human behavior, 25(1), 153-160.

Garbarino, E., & Johnson, M. S. (1999). The different roles of satisfaction, trust, and commitment in customer relationships. the Journal of Marketing, 70-87.

Gefen, D. (1997), Building users' trust in freeware providers and the effects of this trust on users' perceptions of usefulness, ease of use and intended use, Unpublished Doctoral Dissertation, Georgia State University.

Hoffman, D.L., Novak, T.P. and Peralta, M.A. (1999), ‘Information privacy in the
marketspace: implications for the commercial uses of anonymity on the Web’,
Information Society, Vol. 15, No. 2, pp. 129-139.

Hu, P.J., P.Y.K. Chau, O.R. Liu Sheng & K.Y. Tam, “Examing the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology”, Journal of Management Information Systems , 16(2) , pp. 91-112, 1999.

Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. In SV-Proceedings of the third annual conference of the association for consumer research.

Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (1999). Consumer trust in an internet store: a cross‐cultural validation. Journal of Computer‐Mediated Communication, 5(2), 0-0.

Jarvenpaa, S. L., & Todd, P. A. (1996). Consumer reactions to electronic shopping on the World Wide Web. International journal of electronic commerce, 1(2), 59-88.

Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision support systems, 44(2), 544-564.

Kuan, H. and Bock, G. (2007), ‘Trust transference in brick and click retailers: an investigation of the before-online-visit phase’, Information & Management, Vol. 44, No. 2, pp. 175-187.

Langford, D. (1996). Ethics and the Internet: Appropriate behavior in electronic communication. Ethics & Behavior, 6(2), 91-106.

Liao, S., Shao, Y. P., Wang, H., & Chen, A. (1999). The adoption of virtual banking: an empirical study. International journal of information management, 19(1), 63-74.

Liu, C., Marchewka, J. T., Lu, J., & Yu, C. S. (2004). Beyond concern: a privacy–trust–behavioral intention model of electronic commerce. Information & Management, 42(1), 127-142.

Malhotra, N.K., Sung, S. K. and Agarwal, J. (2004), ‘Internet users' information privacy concerns (IUIPC): the construct, the scale, and a causal model’, Information Systems Research , Vol. 15, No. 4, pp. 336-355.

Miyazaki, A. D., & Fernandez, A. (2001). Consumer perceptions of privacy and security risks for online shopping. Journal of Consumer affairs, 35(1), 27-44.

Pavlou, P.A. (2003), "Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model," International Journal of Electronic
Commerce, 7(3), 101-133.

Peter, J. P., & Tarpey, L. X. (1975). A comparative analysis of three consumer decision strategies. Journal of consumer research, 2(1), 29-37.

Reichheld, F. F., & Schefter, P. (2000). E-loyalty: your secret weapon on the web. Harvard business review, 78(4), 105-113.

Roland C. Goss, H Wesley Sunu, Jason H. Gould, Kevin A. Titus, and Jason Strain,2003,Recent developments in E-Commerce law, Tort & Insurance law Journal, 38(2): 263-287.

Salo, J., & Karjaluoto, H. (2007). A conceptual model of trust in the online environment. Online Information Review, 31(5), 604-621.

Suh, B. and Han, I., 2002, Effect of Trust on Customer Acceptance of Internet
Banking, Electronic Commerce Research and Applications, 1(3-4), 247-263.

Stone, R. N., & Grønhaug, K. (1993). Perceived risk: Further considerations for the marketing discipline. European Journal of marketing, 27(3), 39-50.

Swan, J. E., Bowers, M. R., & Richardson, L. D. 1999. Customer trust in the salesperson: an integrative review and meta-analysis of the empirical literature. Journal of Business Research, 44(2): 93-107.

Venkatesh, Viswanath, and Fred D. Davis. "A model of the antecedents of perceived ease of use: Development and test." Decision sciences 27.3 (1996): 451-481.

Wu, I. L. and Chen, J. L. (2005), “An extension of trust and TAM model with TPB in the initial adoption of on-line tax: an empirical study,” International Journal Human-Computer Studies, Vol. 62, No. 6, pp.784–808.

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