臺灣博碩士論文加值系統

行動銀行自1999年起發展迄今已有十多年的歷史，但過去受限於軟硬體發展及網際網路速度的緩慢，因此早期發展的成果並不亮眼，近年隨著高速數據傳輸3G(3rd-generation，第三代行動通訊技術)發展愈趨成熟穩定、電信業者提供的各種搭配服務方案，及智慧型手機等行動裝置普及的影響，帶動了行動上網人口的成長。國內許多銀行看準行動商機，相繼投入研發提供APP程式行動銀行服務，本研究主要的目的即是針對實際已使用過APP行動銀行用戶進行調查，並以Bhattacherjee (2001)提出之IS接受後持續使用模式(The post–acceptance model of information system continuance)理論為基礎，以了解用戶持續使用行動銀行之意圖及其對忠誠度之影響，其次並以資訊安全作為干擾變數，研究其影響程度。
本研究以台灣北、中、南各地區年滿二十歲以上的行動銀行使用者為問卷調查實證對象，在問卷發放上，總計發出330份問卷，扣除無效問卷後共得有效問卷294份，有效回收率達89.1％。分析結果顯示：(1)服務創新對服務品質確認程度有正向顯著之影響；(2)服務品質確認程度對認知有用性有正向顯著之影響；(3)認知有用性、服務品質確認程度、服務創新對滿意度皆有正向顯著之影響；(4)滿意度與認知有用性對持續使用意圖皆有正向顯著之影響；(5)持續使用意圖對忠誠度有正向顯著之影響；(6)資訊安全與滿意度的交互作用會對持續使用意圖造成影響，具有顯著干擾效果；(7)資訊安全與持續使用意圖的交互作用會對忠誠度造成影響，具有顯著干擾效果。本研究經彙整後提出研究建議，藉此提供金融業者未來做行動銀行建置、發展及推廣上之參考。

Nowadays the mobile banking has been developing more than ten years since 1999. However, the result of the early development didn’t work well because of the limit to the development of the hardware and software and the low speed of the internet. In recent years, with the development of high-speed data transmission 3G (3rd - generation, third generation mobile communication technology), telecommunications’ offer of a variety of service programs, and the impact of the popularity of smart phones, tablet PCs and other mobile devices, the growth of mobile internet population is gaining increasingly and stably. There are many banks in domestic dedicated to the R&D of APP program to provide mobile banking services after they saw the mobile business opportunities.
The main purpose of this study is to investigate the users who have the experiences in using the APP mobile banking. And the research is based on the theory of The Post–Acceptance Model of Information System Continuance by Bhattacherjee (2001) to understand the user’s continuance intention and loyalty of using mobile banking. Secondly, this research makes use of information security as a moderating variable to discuss the impact on the user’s intention and loyalty.

In this study, the empirical objects in the survey consist of users of mobile banking, at least twenty years old, from northern, central and southern regions of Taiwan. In total, 330 questionnaires were issued, and net of invalid questionnaires were 294 valid questionnaires with effective recovery rate of 89.1%. The results of the study are as follows：(1) Service innovation has significant positive influences on confirm of service quality；(2) Confirm of service quality has significant positive influences on perceived usefulness；(3) Perceived usefulness ,confirm of service quality and service innovation have significant positive influences on satisfaction；(4) Satisfaction and perceived usefulness have significant positive influences on continuance intention；(5) Continuance intention has significant positive influences on loyalty；(6) The interaction between information security and satisfaction would influence the continuance intention, and has a significant moderating effect；(7) The interaction between information security and continuance intention would influence the loyalty, and has a significant moderating effect. This study provides suggestions for future research and for financial industry as reference of future bank building, development, and promotion.

中文摘要 i
英文摘要 ii
致謝 iv
目錄 v
表目錄 vii
圖目錄 ix
第一章 緒論 - 1 -
第一節、研究背景與動機 - 1 -
第二節、研究目的 - 6 -
第三節、研究範圍與對象 - 7 -
第四節、研究流程 - 8 -
第二章 文獻探討 - 9 -
第一節、行動銀行 - 9 -
第二節、 IS接受後持續使用模式 - 15 -
第三節、認知有用性 - 18 -
第四節、服務品質確認程度 - 20 -
第五節、滿意度 - 23 -
第六節、持續使用意圖 - 25 -
第七節、忠誠度 - 27 -
第八節、服務創新 - 30 -
第九節、資訊安全 - 32 -
第十節、各別構面關連性探討 - 35 -
第三章、研究方法 - 41 -
第一節、研究架構與假設 - 41 -
第二節、研究假設 - 43 -
第三節、變數定義與衡量 - 44 -
第四節、問卷設計 - 50 -
第五節、資料分析與統計方法 - 52 -
第四章 研究結果 - 56 -
第一節、樣本資料分析 - 56 -
第二節、信度與效度分析 - 61 -
第三節、整體模式之驗證 - 72 -
第五章、研究結論與建議 - 78 -
第一節、研究結論 - 78 -
第二節、研究貢獻 - 80 -
第三節、研究限制與建議 - 83 -
參考文獻 - 85 -
附錄 - 96 -

參考文獻
中文部分:

1.朱國明(2009)，探討以網路社群為基礎創新觀念之形成歷程與建立，中小企業發展季刊，第13期，P.1-28。
2.李國瑋(2013)，從實體銀行到網路銀行 – 關係慣性與滿意度的雙干擾效果，電子商務學報(投稿中)。
3.沈憶譯(1991)， 川勝久著，廣告策略指南：廣告人必備手冊，台北：世茂出版社。
4.吳琮璠、謝清佳(2003)，資訊管理：理論與實務，臺北市，智勝出版社。
5.杜偉欽(2006)，「結合HIPAA與ISO27001 為基礎探討醫療院所資訊安全管理之研究」，國立成功大學工程科學研究所碩士論文。
6.林宏遠、張維宏(2011)，商務人士對行動銀行服務偏好之探討，世新大學。
7.林佩潔(2008)，醫院病患對隨身電子病例接受度之分析-以南部某醫學中心為例，國立台灣大學國家發展研究所碩士論文。
8.邱淑媚(2012)，行動銀行持續使用意圖及忠誠度之研究，成功大學碩士在職專班論文。
9.陳建源(2009)，「制度信任、認知有用性、認知易用性對消費者使用意圖之影響－以行動商務為例」，成功大學高階管理碩士專班碩士論文。
10.陳國維(2009)，師徒效應對於ERP系統滿意度與持續使用意願影響之研究，中央大學碩士論文。
11.陳瑞甫(2010)，「行動銀行系統資訊安全管理之研究」，世新大學資訊管理學研究所碩士論文。
12.許賢陽(2008)，PDA路邊停車資訊系統對巡場開單人員影響因素探討－以高雄市政府交通局為例。中山大學在職專班碩士論文。
13.黃雲飛(2012)，行動銀行APP 實戰與行銷探討，財金資訊季刊No.72。
14.黃亮宇(1992)，《資訊安全規劃與管理》，松岡電腦叢書，臺北。
15.莊立民、段起祥(2006)，臺灣服務業組織創新量表發展之研究，產業論壇，8(2)，P.65-83。
16.趙新銘(2007)，服務創新、規範性評估、服務品質與顧客滿意度關係之研究-以小客車租賃業為例。國立成功大學高階管理碩士在職專班碩士論文，未出版，台南。
17.蔡翠旭、林育安(2011)，動態能力、服務創新與市場績效之研究－以合作金庫銀行為例，International Journal of LISREL, 4(2), P.1-33。
18.魏福昭(2006)，創新服務與顧客滿意度之實證研究。大葉大學事業經營研究碩士在職專班碩士論文，未出版，彰化。
19.羅英嘉(2008)，CISSP 與資訊安全基礎技術，臺北市，財團法人資訊工業策進會數位教育研究所。
20.鍾智全、余強生(2011)，從科技接受模式與網路外部性觀點探討影響消費者採用行動銀行的因素。KC2011知識社群研討會P.328-340。

英文部分:

1.Adams, D. A., Nelson, R. R. and Todd, P. (1992), Perceived Usefulness, Ease of Use, and Usage of Information, MIS Quarterly ,16(2), pp.227-248.
2.Alam, S., Musa, R., and Hassan, F., (2009). Corporate Customers’ Adoption of Internet Banking: Case of Klang Valley Business Firm in Malaysia. International Journal of Business and Management, 4(4).
3.Anderson, J.C. and Gerbing, B.W. (1998), Structural equation modeling in practice: A review and recommended two-step approach, Psychological Bulletin, 103, pp. 411-423.
4.Anderson, E., Fornell, C., Lehmann, D. R., 1994,“Consumer satisfaction, market share and profitability：findings from Sweden, ” Journal of Marketing, 58(3), pp.53-66.
5.Barnes, S.J. & Corbitt, B. (2003), “Mobile banking：concept and potential ” International Journal of Mobile Communication, 1(3), pp.273-288.
6.Betz.(2003), Managing Technological Innovation: Competitive Advantage from Change. New York: Wiley-Interscience.
7.Bhattacherjee, A.,(2001),"Understanding informationsystems continuance: An expectation-confirmation model", Mis Quart, 25 (3), pp. 351-370.
8.Bhattacherjee, A.,(2001b), "An empirical analysis of the antecedents of
electronic commerce service continuance", Decis Support Syst, 32 (2), pp. 201-214.
9.Bhattacherjee, A. and Premkumar, G. (2004), "Understanding changes in belief and attitude toward information technology usage: a theoretical model and longitudinal test", MIS Quarterly, 28(2), pp.229-254.
10.Bhattacherjee, A., Perols, J., and Sanford, C. (2008), "Information technologycontinuance: a theoretic extension and empirical test", Journal of Computer Information Systems, 49(1), pp.17-26.
11.Brady, M. K., Robertson, C. J. and Cronin, J. J. 2001, Managing behavioral intentions in diverse cultural environments: an investigation of service quality, service value, and satisfaction for American and Ecuadorian fast-food customers, Journal of International Management, 7(2), pp.129-149.
12.Briggs, S., Sutherland, J. and Drummond, S., 2007, Are hotels serving quality? An exploratory study of service quality in the Scottish hotel sector, Tourism Management, 28(4), pp.1006-1019.
13.Cadotte, E. R. Woodruff, R. B. & Jenkins, R. L. (1987),“Exceptions and Norms in Models of Consumer Satisfaction”, Journal of Marketing research, 24, pp.305~314.
14.Cardozo, R. N.(1965),“An Experimental Study of Consumer Effort. Expectation and Satisfaction”, Journal of Marketing research, 21, pp. 244~249.
15.Chau P.Y.K. and Hu P.J.H (2001), “Information Technology Acceptance by Individual Professionals: A Model Comparison Approach”, Decision Sciences, 32(4), pp. 699-719.
16.Churchill, G.A. ＆ Surprenant, C. (1982), “An investigation into the determinants of customer satisfaction”Journal of Marketing Research, 19 (4), pp.491-504.
17.Cronin, J. J. Jr., Brady, M. K. and Hult, G. T. M., 2000, Assessing the effects of quality, value and customer satisfaction on consumer behavioral intention in service environments, Journal of Retailing, 76(2), pp.193-218.
18.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), pp.982-1003.
19.Department of Defense. (2010). Department of Defense Dictionary of Military and Associated Terms.
20.De Vills, R. F., (1991), Scale Development Theory and Applications, London: Sage.
21.Delone, W.H. & McLean, E.R. (1992), “Information systems success: The quest for the dependant variable,”Information Systems Research, 3(1), pp.60-95.
22.D. K. and P. C. Wilton Tse (1988), "Models of Consumer Satisfaction Formation: An Extension", Journal of Marketing Research, 25(2), pp. 204.
23.Drejer, I., 2004, Identifying innovation in surveys of services: a schumpeterian perspective, Research Policy, 33(3), pp.551-562.
24.E. W. Anderson and M. W. Sullivan (1993), "The Antecedents and Consequences of Customer Satisfaction for Firms", Market Sci, 12 (2), pp. pp.125-143.
25. F. D. Davis, R. P. Bagozzi, et al. (1989), "User Acceptance Of Computer Technology: A Comparison Of Two Theoretical Models", Manage Sci, 35 (8), pp. 982.
26.Featherman, M., and Fuller, M., (2003), Applying TAM to E-Services Adoption: The Moderating Role of Perceived Risk, 36th Annual Hawaii International Conference on System Sciences (HICSS''03), 7, pp.191.
27.Fishbein, M. and Ajzen, I. (1975), Belief, attitude, intention and behavior: an introduction to theory and research. Reading (MA): Addison-Wesley.
28.Floh, A. and Treiblmaier, H., (2006), What Keeps The E-Banking Customer Loyal? A Multigroup Analysis of The Moderating Role Of Consumer.
29.Fornier, S. (1994), “A Consumer-based Relationship Framework for Strategic Brand Management,”Published PhD dissertation, University of Florida.
30. Fonell, C. (1992),“A national customer satisfaction barometer：the Swedish experience,”Journal of Marketing, 56, January, pp.6-21.
31.Fornell, C. and Larcker D. F. (1981), Evaluating Structural Equation Models with Unobervable Variables and Measure Errors”, Journal of Marketing Research, 18(1), pp.39-50.
32.Gallouj, F.(2002). Innovation in service and the attendant old and new myths. Journal of Socio-Economics, 31, pp.137-154.
33. Gefen, D., Karahanna, E., & Straub, D, W. (2003). Trust and TAM in online shopping: An integrated model, MIS Quarterly, 27(1), pp.51-90.
34.Gefen, D., Straub, D. W., and Boudreau, M. (2000), "Structural equation modeling and regression: guidelines for research practice," Communications of the Association for Information Systems, 4(7), pp.1-70.
35.Gronroos, C.(1996)“Relationship marketing: Strategic and tactical implications,”Management Decision, 34(3), pp.5-14.
36.Gu, J.C., Lee. S. C., & Suh. Y.H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications 36, pp.11605–11616.
37.Gulati, R. & Garino, J.( 2000) “Get the Right Mix of Bricks & Clicks, ” Harvard Business Review, May-Jun., 78, pp. 107-114.
38.Hair, J.F., Anderson R.E., Tatham R.L., and Black, W.C.(1995), Multivariate Data Analysis,4th ed., New Jersey:Prenticee Hall.
39.Hair, J. F., Anderson, R. E., Tatham, R. L., and Black, W. C. (1998), Multivariate Data Analysis, Upper Saddle River, NJ: Prentice-Hall.
40.Hausman, A.,and Siekpe, J.S. (2009), The Effect of Web Interface Features on Consumer Online Purchase Intentions, Journal of Business Research, 62(1), pp.5–13.
41.Hempel, D. J., (1977). Consumer Satisfaction with the Home Buying Process: Conceptualization and Measurement, in Keith H. Hunt (ed.) The Conceptualization of Consumer Satisfaction and Dissatisfaction. Cambridge, Mass: Marketing Science Institute.
42.Heskett, J. L., Sasser, W. E. Jr., & Hart C.W. (1989), Service Breakthrough. New York: The Free Press.
43.Howard, J.A. and J.N. Sheth (1969), The Thory of Buyer Behavior, New York：John Willey and Sons.
44.IBM, IBM Data Security Support Programs, (1984).
45.Im I., Kim Y., and Han H. (2008), The Effects of Perceived Risk and Technology Type on Users’ Acceptance of Technologies, Information and Management, 45, pp.1-9.
46.Ingrid, F. (2004). An index method for measurement of customer satisfaction. The TQM Magazine, 16(1), pp.57-66.
47.Jen, W. and Hu, K. C., 2003, Application of perceived value model to identify factors affecting passengers repurchases intentions on city bus: a case of the Taipei metropolitan area, Transportation, 30(3), pp.307-327.
48.Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: User’s reference guide. Chicago: Scientific Software International.
49.Jones, T. O., & Sasser, W. E. (1995). Why satisfied customer defect. Harvard Business Review, 73(6), pp.88-99.
50.Jones, Michael A., David L. Mothers Baugh and Sharon E. Beatty (2000). “Switching Barriers and Repurchase Intentions in Service”.
51.Juniper Research, “White Paper Mobile Banking Goes Mainstream” Mobile Banking Strategies Application, Opportunities & Markets 2010-2015.
52.Kim, G, Shin, B. & Lee, HG (2009), ‘Understanding dynamics between initial trust and usage intentions of mobile banking’, Information Systems Journal, 19(3), pp.283–311.
53.Kotler, P. (1996), “Marketing Management: Analysis, Planning, Implementation and Control,” 9th ed., Prentice-Hall.
54.Lee, J., Lee, J., & Feick, L. (2001). The impact of switching costs on the customer satisfaction-loyalty link: Mobile phone service in France. Journal of Services Marketing, 15(1), pp.35-48.
55.Lee, K. W., Tsai, M. T., Lanting, C. L. (2011), “From Marketplace to Marketspace: Investigating the Consumer Switch to Online Banking” Electronic Commerce Research and Applications, 10, pp.115-125.
56.Liao, C., Chen, J.L., and Yen, D.C. (2007), “Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model”, Computers in Human Behavior, 23(6), pp. 2804-2822.
57.Li, Bo＆Eul Gyu Im(2001)“Smartphone, promising battlefield for hackers”, Journal of security Enginerering, 8(1) pp.89-110.
58.Lin, S. P., and Qiu, Y. B., (2004), The Main Effects and Moderating Effects of Gender in the Formation of Online Purchase Intentions: An Extension to the Technology Acceptance Model, Unpublished article.
59.Lovelock, C. H., & Wright, L. K. (2003). Principles of service marketing and management. NJ: Prentic-Hall.
60.Moon, J. W. and Kim, Y. G.(2001), Extending the TAM for a World- Wide- Web Context, Information & Management 38(4) , pp. 217-230.
61.Nunnally, J. (1978). Psychometric Theory, New York: McGraw-Hill.
62.Oliver, R. L. (1997). Satisfaction: A behavioral perspective on the consumer. Boston: McGraw-Hill.
63.Oliver, R. L. and Linda, G., (1981), “Effect of Satisfaction and Its Antecedents on Consumer Preference and Intention”, Advances in Consumer Research, 8(1), pp.88-93.
64.Parker D.B. (1997), “Information Security in a Nutshell＂Information Systems Security, Spring.
65.Parasuraman, A., Zeithaml, V. A. and Berry, L. L., (1985), A conceptual model of service quality and its implication forfuture research, Journal of Marketing, 49(4), pp.41-50.
66.Parasuraman, A., Zeithaml, V. A. and Berry, L. L., (1991), Refinement and reassessment of the SERVQUAL scale, Journal of Retailing, 67(4), pp.420-450.
67.P. G. Patterson, L. W. Johnson, et al., (1997), "Modeling the determinants of customer satisfaction for business-to-business professional services", Academy of Marketing Science, 25 (1), pp.4-17.
68.Pousttchi, K. & Schuring, M. (2004), “Assessment of today’s mobile banking applications from the view of customer requirement” proceeding of the 37th Hawaii International Conference on System Science, Big Island, Hawaii.
69.Recker, J. (2010), "Explaining usage of process modeling grammars: Comparing three theoretical models in the study of two grammars", Information & Management, 47(5-6), pp.316-324.
70.Reidenbach and M. Grubbs (1987), Developing New Banking Products, Englewood Cliffs, N.J.:Prentice-Hall.
71.Reichheld, F. F. and Sasser, W. E.（1990）, “Zero defections: Quality comes to service,” Harvard Business Review, 5(68), pp.105-111.
72.Rendeiro, M. C. R., 2006, Tourism service quality begins at the airport, Tourism Management, 27(5), pp.874-877.
73.R. L. Oliver (1980), “A cognitive model of the antecedents and consequences of satisfaction decisions,” Journal of marketing research, 17(4), pp. 460–469.
74.Roca, J. C., Chiu, C. M. and Martínez, F. J. (2006), “Understanding E-learning Continuance Intention: An Extension of the Technology Acceptance Model＂, International Journal of Human-Computer Studies 64(8), pp.683-696.
75.Sawyer, J. E. (1992), Goal and Process Clarity: Specification of Multiple Constructs of Role Ambiguity and A Structural Equation Model of Their Antecedents and Consequences, Journal Of Applied Psychology, 2, pp.130–142.
76.Scornavacca, E. & Barnes, S.J. (2004), “M-banking services in Japan: a strategic perspective, ” International Journal of Mobile Communication, 2(1), pp.51-66.
77.Schumpeter, J. A. (1932), The Theory of Economic Development, Harvard Business School, Boston.Bolton, R. N. (1997),“A Dynamic Model of The Duration of Customer Relationship with a Continuous Service Provider: The Role of Satisfaction”, Marketing Science.17, pp.45-65.
78.Sharma, Subhash (1996), Applied Multivariate Techniques. New York: John Wiley & Sons.
79.Shen, J. and Eder, L. E. (2009), Exploring intentions to use virtual worlds for business. Journal of Electronic Commerce Research, 10(2), pp.94-103.
80.Straub, D. W., Keil, M. and Brenner (1997) “Testing the Technology Acceptance Model Across Cultures: A Three Country Study”, Information & Management, 33, pp.1-11.
81.Sun, H., and Xiao, X., (2006). User Acceptance of Virtual Technologies. Idea Group Incorporation.
82. Tiwari, R. and Buse, S. (2007). The Mobile Commerce Prospects: A Strategic Analysis of Opportunities in the Banking Sector. Hamburg: Hamburg University Press.
83.Thong, J. Y. L., Hong, S., and Tam, K. Y., (2006), "The effects of post- adoption beliefs on the expectation-confirmation model for information technology continuance", International Journal of Human-Computer Studies, 64(9), pp.799-810.
84.Thong, Y. L., Hong, S. J. and Tam, K. Y.,(2006), “The Effects of Post- Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance,＂International Journal of Human Computer Studies 64(9), pp.799-810.
85.Vang, J. and Zellner, C., (2005), Introduction: innovation in services, Industry and Innovation, 12(2), pp.147-152.
86.V. A. Zeithaml, L. L. Berry, and A. Parasuraman (1996), "The behavioral consequences of service quality", J Marketing, 60 (2), pp.31-46.
87.Van der Heijden (2003), Factors Influencing the Usage of Websites: The Case of a Generic Portal in The Netherlands, Information & Management, 40(6), pp.541-549.
88.Verhagen, T., Tan, Y., and Meents, S. (2004), An Empirical Exploration of Trust And Risk Associated with Purchasing at Electronic Marketplaces, Proceedings of the 17th Bled Ecommerce Conference Held in June 21-23, Bled, Slovenia.
89.Wang, Y.-S., Tang, T.-I.＆Tang, J.T.D (2001), “An instrument for measuring customer satisfaction toward web sites that market digital products and services,”Journal of Electronic Commerce Research, 2(3), pp.89-102.
90.Yi, Y., (1990), “A Critical Review of Consumer Satisfaction”, in V. A. Zeithmal (ed.), Review of Marketing American Marketing Association, Chicago, pp.68-123.
91.Zahra, A.S. and George, G., (2002). Absorptive Capacity：A Review, Reconceptualization and Extention, Academy of Management Review, 27(2), pp.185-203.

網路部分

1.Symantec (2011), A Window Into Mobile Device Security, retrieved:2012/11/20. http:www.symantec.com/connect/sites/default/files/A％20Window％20Into％20Mobile％20Device％20Security.pdf
2.黃大衛，2004/07，41期，《新通訊元件雜誌》行動銀行有賣點 但仍未賣座，檢索日期：2013/01/30 http://www.2cm.com.tw/markettrend_content.asp?sn=0701010161
3.吳沛真，2012/07/09，財團法人台灣網路資訊中心新聞稿，檢索日期：2013/02/05 http://www.twnic.net.tw/NEWS4/119.pdf
4.趙郁竹，2013/03/06，Business Next數位時代，檢索日期：2013/03/07
http://www.bnext.com.tw/focus/view/cid/103/id/26825
5.資策會FIND(2012)/經濟部技術處「科技化服務價值鏈研究與推動計畫」檢索日期：2013/03/10 http://www.find.org.tw/find/home.aspx
6.蕭家緯，2012/06/05，177期《電腦科技電子報》智慧手機熱潮中淺談台灣金融業行動銀行之發展。檢索日期:2013/03/18
http://www.syscom.com.tw/ePaper_Content_EPArticledetail.aspx?id=222&EPID=177&j=2&HeaderName=%E7%94%A2%E6%A5%AD%E8%A7%80%E5%AF%9F