Responsive image
博碩士論文 etd-0818121-234350 詳細資訊
Title page for etd-0818121-234350
論文名稱
Title
研究台灣行動支付之使用意圖
An analysis of behavior intention on mobile payment in Taiwan
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
62
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2021-08-07
繳交日期
Date of Submission
2021-09-18
關鍵字
Keywords
知覺相容性、個人移動性、個人創新、行動支付、科技接受模型
Personal Innovativeness in Information Technology (PIIT), Mobile payment, Technology Acceptance Model(TAM), Individual mobility, Perceived compatibility
統計
Statistics
本論文已被瀏覽 181 次,被下載 43
The thesis/dissertation has been browsed 181 times, has been downloaded 43 times.
中文摘要
現今行動裝置的普及下,為行動支付帶來許多商機。相對於傳統的支付方法,行動支付提供消費者隨時隨地進行支付的工具,帶來更方便的金融服務。
本研究之目的為探討台灣影響行動支付使用意圖的關鍵因素。理論採用科技接受模型,納入五項外部變數加以探討。運用問卷發放來收集資料,並用Partial Least Squares(PLS)法來做後續的資料分析。
研究結果顯示感知相容性、主觀規範與感知易用性為本研究模型中影響行動支付最關鍵的因子。研究發現感知相容性對於使用態度有顯著相關。在14項研究假設中,有關個人創新與個人移動性的3項假說不成立。因為個人移動性一變數的學術研究尚未成熟,建議可在未來繼續研究其在科技接受模型中的作用。中介效果的結果則發現感知易用性和感知相容性兩者在個人創新對使用態度的關係中有完全中介。感知有用性在個人創新對使用態度的關係中則是沒有中介。
最後,研究的結果為行動支付的學術和相關業者帶來實務上建議,如善用好友推薦制度作為行動支付的行銷方式,期望能有相關的實質助益。

Abstract
The ubiquity of mobile devices expands opportunity on mobile payment. Compared to physical currency, it enables users to make financial services anytime anywhere and provides convenient ways conducting transaction via mobile device.
This current research is intended to identify key factors influencing mobile payment adoption in Taiwan. Theory employed is based on Technology Acceptance Model(TAM), including five variables into the construct. Data utilized obtained from online survey distribution. Using Partial Least Squares(PLS) method for data analysis.
The results shows that perceived compatibility, subjective norm, and perceived ease of use are key factors in the framework. The outcome indicates that there is a positive link between perceived compatibility and attitude toward use. Among fourteen hypothesis there are three hypotheses rejected. The impact of individual mobility in TAM is not rich in the literature, which is suggested to be further investigated in the future. Full mediation results and no mediation was found in the mediation analysis. This study offers both practical implication and theoretical contribution in the context of mobile payment.
目次 Table of Contents
論文審定書 i
摘要 ii
Abstract iii
Contents iv
List of Figures vi
List of Tables vii
Chapter 1. Introduction 1
1.1 Background Information 1
1.2 Research Purpose 5
1.3 Research Process 5
Chapter 2. Literature Review 7
2.1 Theoretical background 7
2.2 Technology Acceptance Model 8
2.3 Personal Innovativeness 10
2.4 Mobile payment 13
Chapter 3. Research Design and Research Methodology 16
3.1 Research Framework 16
3.2 Hypothesis and proposed framework 16
3.3 Research Methodology 24
3.3.1 Survey Item 24
3.3.2 Data collection 25
3.3.3 Estimation approach 26
Chapter 4. Analysis and Results 27
4.1 Demographic analysis 27
4.2 Reliability and validity test 28
4.3 Hypothesis testing result 33
4.4 Discussion 37
Chapter 5. Conclusions and Suggestions 40
5.1 Conclusions 40
5.2 Limitations of the Study 42
5.3 Suggestions and future research 42
References 44
Appendix 51
參考文獻 References
References
Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Inf. Syst. Res., 9, 204-215.
Abdullah, Khan, M.N., & Kostadinova, E. (2021). Determining mobile payment adoption: A systematic literature search and bibliometric analysis. Cogent Business & Management, 8, 1893245.
Almaiah, M. A. (2018). Acceptance and usage of a mobile information system services in University of Jordan. Education and Information Technologies, 23(5), 1873-1895.
Ashrafi, M., & Ng, S. (2008). Enabling Privacy-Preserving e-Payment Processing. DASFAA.
Aslam, W., Ham, M., & Arif, I. (2017). Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan.
Bagozzi, R. (2007). The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift. Journal of the Association for Information Systems, 8(4), 244-254.
Chen, C. (2012). A Literature Study on Business Culture and Management in Taiwan and Mainland China. Procedia Engineering, 29, 360-364.
Chen, L.D. (2008). A model of consumer acceptance of mobile payment. Int. J. Mob. Commun., 6, 32-52.
Chang, S., Sun, C., Pan, L., & Wang, M. (2015). An Extended TAM to Explore Behavioural Intention of Consumers to Use M-Commerce. J. Inf. Knowl. Manag., 14, 1550014:1-1550014:16.
Cheng, T., Lam, D.Y., & Yeung, A. (2006). Adoption of internet banking: An empirical study in Hong Kong. Decis. Support Syst., 42, 1558-1572.
Cheng, Y.-H., & Huang, T.-Y. (2013). High speed rail passengers’ mobile ticketing adoption. Transportation Research Part C: Emerging Technologies, 30, 143-160.
Chong, A. (2013). A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption. Expert Syst. Appl., 40, 1240-1247.
Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electron. Commer. Res. Appl., 7, 165-181.
Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265-284.
Dastan, I., & Gürler, C. (2016). Factors Affecting the Adoption of Mobile Payment Systems: An Empirical Analysis. Emerging Markets Journal, 6, 17-24.
Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q., 13, 319-340.
Davis, F.D. (1993). User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts. Int. J. Man Mach. Stud., 38, 475-487.
de Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146, 931-944.
Dennehy, D., & Sammon, D. (2015). Trends in mobile payments research: A literature review. Journal of Innovation Management, 3(1), 49-61.
Duane, A., O'Reilly, P., & Andreev, P. (2014). Realising M-Payments: modelling consumers' willingness to M-pay using Smart Phones. Behaviour & Information Technology, 33, 318 - 334.
Fan, J., Shao, M., Li, Y., & Huang, X. (2018). Understanding users' attitude toward mobile payment use: A comparative study between China and the USA. Ind. Manag. Data Syst., 118, 524-540.
Faqih, K.M., & Jaradat, M.R. (2015). Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37-52.
Fishbein, M., & Ajzen, I. (1977). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Contemporary Sociology, 6, 244.
Flavián, C., & Guinaliu, M. (2006). Consumer trust, perceived security and privacy policy: Three basic elements of loyalty to a web site. Ind. Manag. Data Syst., 106, 601-620.
Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50.
Gerpott, T.J., & Kornmeier, K. (2009). Determinants of customer acceptance of mobile payment systems. International Journal of Electronic Finance, 3, 1-30.
Hair, J.F., Ringle, C., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19, 139 - 152.
Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd Ed., Sage: Thousand Oaks
Jackson, J., Yi, M., & Park, J.S. (2013). An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology. Inf. Manag., 50, 154-161.
Karsen, M., Chandra, Y.U., & Juwitasary, H. (2019). Technological Factors of Mobile Payment: A Systematic Literature Review. Procedia Computer Science, 157, 489-498.
Khalfan, A. M., & Alshawaf, A. (2014). Adoption and Implementation Problems of E-Banking: A Study of the Managerial Perspective of the Banking Industry in Oman. Journal of Global Information Technology Management, 7(1), 47-64.
Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460-474.
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Comput. Hum. Behav., 26, 310-322.
Kuo, Y., & Yen, S. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Comput. Hum. Behav., 25, 103-110.
Larsen, T., & Wetherbe, J.C. (1999). An exploratory field study of differences in information technology use between more- and less-innovative middle managers. Inf. Manag., 36, 93-108.
Lau, M., Lam, A., Cheung, R., & Leung, T.F. (2019). Understanding determinants of customer behavioral intention in using mobile payment at convenience stores. IC4E '19.
Lederer, A., Maupin, D., Sena, M.P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decis. Support Syst., 29, 269-282.
Leong, L.-Y., Hew, T.-S., Tan, G. W.-H., & Ooi, K.-B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 40(14), 5604-5620.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Inf. Manag., 40, 191-204.
Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of Influence on Beliefs about Information Technolgoy Use: An Empirical Study of Knowledge Workers. MIS Q., 27, 657-678.
Leong, L., Hew, T., Tan, G., & Ooi, K. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Syst. Appl., 40, 5604-5620.
Leung, L., & Wei, R. (1998). Factors influencing the adoption of interactive TV in Hong Kong: Implications for advertising. Asian Journal of Communication, 8, 124-147.
Liébana-Cabanillas, F., Marinkovic, V., Ramos de Luna, I., & Kalinic, Z. (2018). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129, 117-130.
Lin, W., Lin, C., & Ding, Y. (2020). Factors Affecting the Behavioral Intention to Adopt Mobile Payment: An Empirical Study in Taiwan.
Liu, Z., Ben, S., & Zhang, R. (2019). Factors affecting consumers’ mobile payment behavior: a meta-analysis. Electronic Commerce Research, 1-27.
Lu, J., Yao, J.E., & Yu, C. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. J. Strateg. Inf. Syst., 14, 245-268.
Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce? Internet Res., 24(2), 134–159.
Lu, Y., Yang, S., Chau, P., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Inf. Manag., 48, 393-403.
Mallat, N., Rossi, M., Tuunainen, V., & Öörni, A. (2009). The impact of use context on mobile services acceptance: The case of mobile ticketing. Inf. Manag., 46, 190-195.
Mallat, N. (2007). Exploring consumer adoption of mobile payments - A qualitative study. J. Strateg. Inf. Syst., 16, 413-432.
Mathieson, K. (1991). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Inf. Syst. Res., 2, 173-191.
Moon, J., & Kim, Y. (2001). Extending the TAM for a World-Wide-Web context. Inf. Manag., 38, 217-230.
Moore, G.C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Inf. Syst. Res., 2, 192-222.
Morris, M.G., & Dillon, A. (1997). The Influence of User Perceptions on Software Utilization: Application and Evaluation of a Theoretical Model of Technology Acceptance.
Nov, O., & Ye, C. (2008). Personality and Technology Acceptance: Personal Innovativeness in IT, Openness and Resistance to Change. Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 448-448.
Nunnally, J. C. (1978). Psychometric theory (2nd ed.) . State of New York, New York: McGraw-Hill
Pal, A., De’, R., Herath, T., & Rao, H. R. (2019). A review of contextual factors affecting mobile payment adoption and use. Journal of Banking and Financial Technology, 3(1), 43-57.
Pal, D., Vanijja, V., & Papasratorn, B. (2015). An Empirical Analysis towards the Adoption of NFC Mobile Payment System by the End User. Procedia Computer Science, 69, 13-25.
Pavlou, P. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. Economics of Networks eJournal. , 7:3, 101-134
Pham, T.-T. T., & Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159-172.
Phan, K., & Daim, T. (2011). Exploring technology acceptance for mobile services. Journal of Industrial Engineering and Management, 4, 339-360.
Phonthanukitithaworn, C., Sellitto, C., & Fong, M. (2015). User Intentions to Adopt Mobile Payment Services: A Study of Early Adopters in Thailand. The Journal of Internet Banking and Commerce, 20, 1-29.
Porter, C.E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59, 999-1007.
PWC. (2021, May), Payments 2025 & beyond - Navigating the payments matrix. PWC publishing. https://www.pwc.com/gx/en/industries/financial services/publications/financial-services-in-2025/payments-in-2025.html
Ramos-de-Luna, I., Montoro-Ríos, F., & Liébana-Cabanillas, F. (2015). Determinants of the intention to use NFC technology as a payment system: an acceptance model approach. Information Systems and e-Business Management, 14(2), 293-314.
Riemenschneider, C.K., Harrison, D., & Mykytyn, P. (2003). Understanding it adoption decisions in small business: integrating current theories. Inf. Manag., 40, 269-285.
Rogers, E.M. Diffusion of Innovations, 3rd ed.; Free Press: New York, NY, USA, 1983; pp. 14–15.
Rogers, E.M. (1995) Diffusion of Innovations. 4th Edition, the Free Press, New York.
Schierz, P.G., Schilke, O., & Wirtz, B.W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electron. Commer. Res. Appl., 9, 209-216.
Shin, D.D. (2008). Understanding purchasing behaviors in a virtual economy: Consumer behavior involving virtual currency in Web 2.0 communities. Interacting with Computers, 20, 433-446.
Shin, D.-H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343-1354.
Shin, D.-H., & Shin, Y.-J. (2011). Consumers' Trust in Virtual Mall Shopping: The Role of Social Presence and Perceived Security. International Journal of Human-Computer Interaction, 27(5), 450-475.
Singh, N., Sinha, N., & Liébana-Cabanillas, F. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. Int. J. Inf. Manag., 50, 191-205.
Taylor, S., & Todd, P.A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Inf. Syst. Res., 6, 144-176.
Teo, T.S., Lim, V., & Lai, R.Y. (1999). Intrinsic and extrinsic motivation in Internet usage. Omega-international Journal of Management Science, 27, 25-37.
Tsai, C., Zhu, D., Ho, B., & Wu, D. (2010). The effect of reducing risk and improving personal motivation on the adoption of knowledge repository system. Technological Forecasting and Social Change, 77, 840-856.
Turan, A., Tunç, A.Ö., & Zehir, C. (2015). A Theoretical Model Proposal: Personal Innovativeness and User Involvement as Antecedents of Unified Theory of Acceptance and Use of Technology. Procedia - Social and Behavioral Sciences, 210, 43-51.
Venkatesh, V., & Davis, F.D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies.
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decis. Sci., 39, 273-315.
Viehland, D., Siu, R., & Leong, Y. (2010). Consumer Willingness to Use and Pay for Mobile Payment Services.
Wu, J., & Wang, S. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Inf. Manag., 42, 719-729.
Xu, S., Fang, X., Chan, S., & Brzezinski, J. (2003). What tasks are suitable for handheld devices? Proceedings of HCI International 2003, Human Computer Interaction: Theory and Practice, 2, 333–337
Yang, K.C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics Informatics, 22, 257-277.
Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioural beliefs, social influences, and personal traits. Computers in Human Behaviour, 28(1), 129-142
Yi, M., Fiedler, K.D., & Park, J.S. (2006). Understanding the Role of Individual Innovativeness in the Acceptance of IT-Based Innovations: Comparative Analyses of Models and Measures. Decis. Sci., 37, 393-426.
Yiu, C.S., Grant, K., & Edgar, D. (2007). Factors affecting the adoption of Internet Banking in Hong Kong - implications for the banking sector. Int. J. Inf. Manag., 27, 336-351.
Zeng, Q., & Shantou, J.M. (2015). Understanding the Role of Individual Perception on Mobile Payment : Moderating or Mediating.
金融監督管理委員會 (2018),「行動支付與電子化支付普及之關鍵」,Taiwan Economic Forum Volume 16, Number 2。
〈財經週報-再戰非現金支付〉曾使用行動支付的人 5年內要拚到9成. (2021, April 25). Retrieved from 自由時報 https://ec.ltn.com.tw/article/paper/1445070
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內校外完全公開 unrestricted
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code