| 研究生: |
賴冠瑜 Lai, Guan-Yu |
|---|---|
| 論文名稱: |
以科技接受模型探討消費者在實體通路使用行動支付之意願–以知覺風險作為調節變數 Using Technology Acceptance Model to Explore the Consumers' Using Intention for Mobile Payment in Physical Channel: Using Perceived Risk as a Moderator |
| 指導教授: |
蔡燿全
Tsai, Yao-Chuan |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 企業管理學系 Department of Business Administration |
| 論文出版年: | 2018 |
| 畢業學年度: | 106 |
| 語文別: | 中文 |
| 論文頁數: | 57 |
| 中文關鍵詞: | 科技接受模型 、行動支付 、知覺風險 、使用意願 |
| 外文關鍵詞: | Technology Acceptance Model(TAM), Mobile Payment, Perceived Risk, Behavioral Intention to Use |
| 相關次數: | 點閱:70 下載:1 |
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隨著國際金融數位化浪潮的侵襲,金管會從 2015 年開始打造數位金融環 境(Bank 3.0),其中,行動支付又是受到全球廣泛關注的一個具有發展潛力的行 動商務領域,況且,行動支付議題是台灣邁向數位國家、創新經濟的重要關鍵 之一,因此普及行動支付的應用是重要的一環,進而開放《電子支付機構管理 條例》法規,而透過法律規範的鬆綁,才使得金融業者與非金融業者能夠加入 行動支付的領域,希望能夠為行動支付市場注入動能,並促進行動支付的發展, 再加上我國智慧型手機的高普及率,也為發展行動支付建立一個良好的基礎。 根據資策會產業情報研究所(2018)執行「行動支付大調查」發現行民眾使用動 支付的比例為(13.7%)與去年的(4.8%)相比有一定程度的成長,顯示消費者對 於使用行動支付也抱持正向的態度。根據 VISA 公司 2017 年的未來支付調查 顯示,多數消費者使用行動支付的場域為實體通路,像是便利商店、大賣場、 餐廳等。因此本研究試圖探討消費者在實體通路對於行動支付的使用意願,了 解到消費者可能因著什麼因素而減少或增加使用行動支付,並透過分析研究結 果建議行動支付業者未來改善服務的方法。
本研究之樣本以網路問卷的方式,將問卷發放於社群網站 Facebook 及行 動支付相關論壇等管道統一收集;共計回收了 549 份問卷,其中有效問卷為 539 份。並以敘述性統計分析、因素與信度分析與迴歸分析等方法進行分析並驗證 研究假設,研究結果發現: 一、消費者使用行動支付的知覺有用性會顯著正向影響使用態度。 二、消費者使用行動支付的知覺易用性會顯著正向影響使用態度。 三、消費者使用行動支付的知覺易用性會顯著正向影響知覺有用性。 四、消費者對於行動支付的使用態度會顯著正向影響使用意願。 五、知覺風險在使用態度與使用意願之間不具有顯著的調節效果。
With the new dynamics of financial globalization, the Financial Supervisory Commission began to create a digital financial environment (Bank 3.0) in 2015.
One promising area of m-commerce which is receiving a great deal of attention globally is mobile payment. The issue of mobile payment is one of the keys for Taiwan to become a digitized country. Popularizing the application of mobile payment is an important part for Bank 3.0. In order to promote the development of mobile payments, the Financial Supervisory Commission has released the rules and regulations, such as The Act Governing Electronic Payment Institutions which cleared the Legislature on January.
According to MIC (2018), the proportion of people using mobile payment is 13.7%, which is 8.9% more than the previous year. The result shows the consumers are with higher levels of confidence and more positive about using mobile payment. According to VISA's future payment survey in 2017, most consumers used mobile payment in physical channel, such as convenience stores, hypermarkets, and restaurants. In summary, this research aims to explore the consumers’ using intention for mobile payment in physical channels, and to understand the factors that consumers may reduce or increase the use of mobile payment. In this study, the sample was collected by online questionnaire, mainly through the community website (Facebook) and mobile payment forum of Taiwan. We received a total of 549 questionnaires, of which 539 were valid. After analyzing the samples, the verification results are as follows:
1. Perceived usefulness significantly positively affects attitude toward using.
2. Perceived ease of use significantly positively affects attitude toward using.
3. Perceived ease of use significantly positively affects perceived ease of use.
4. Attitude toward using significantly positive affects behavioral intention to use.
5. Perceived risk doesn’t have moderation effect between attitude toward using and behavioral intention to use.
翁世吉、田育任 (民 103),「支付應用發展趨勢」,《財金資訊季刊》,第78期,19-20.
陳姿蓉. (2014).以科技接受模式探討消費者使用QR Code行動支付的行為意圖. 交通大學管理科學系所學位論文, 1-72.
Ajzen, I., & Driver, B. L. (1991). “Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior”. Leisure sciences, 13(3), 185-204.
Aladwani, A.M. (2001), “Online banking: a field study of drivers, development challenges and expectations”, International Journal of Information Management, 21(3), 213-25.
Aldás-Manzano, J., Lassala-Navarré, C., Ruiz-Mafé, C., & Sanz-Blas, S. (2009). “The role of consumer innovativeness and perceived risk in online banking usage”. International Journal of Bank Marketing, 27(1), 53-75.
Bagozzi, R. P. (1981). “Attitudes, intentions, and behavior: A test of some key hypotheses”. Journal of personality and social psychology, 41(4), 607.
Bauer, Raymond A. (1960). Consumer Behavior as Risk Taking, in Dynamic Marketing for a Changing World, ed. Robert S. Hancock, Chicago: American Marketing Association, 389-398.
Begonha, D. B., Hoffman, A., and Melin, P. (2002) “M-Payments; Hang Up, Try Again,” Credit Card Management, 15(10), 40-44.
Chen, J. J., & Adams, C. (2005). User acceptance of mobile payments: a theoretical model for mobile payments. Paper presented at the Proceedings of the Fifth International Conference on Electronic Business (ICEB), Hong Kong.
Cheng, T., Lama, D. and Yeung, A. (2006), “Adoption of internet banking: an empirical study in Hong Kong”, Decision Support Systems, 42(3), 1558-1572.
Clarke, I., III. “Emerging Value Propositions for M-Commerce,” Journal of Business Strategies (18:2), 2001, pp. 133-148.
Crespo, A. H., del Bosque, I. R., & de los Salmones Sanchez, M. G. (2009). “The influence of perceived risk on Internet shopping behavior: a multidimensional perspective”. Journal of Risk Research, 12(2), 259-277.
Davis, F. D. (1989). “Perceived usefulness, perceived ease of use, and user acceptance of information technology”. MIS quarterly, 319-340
Davis, Fred D., Bagozzi, Richard P. and Warshaw, Paul R. (1989). “User acceptance of computer technology: a comparison of two theoretical models”. Management Science, 35(8), 982-1003.
Fenech, T., and A. O’Cass. 2001. Internet users’ adoption of Web retailing: User and product dimensions. Journal of Product and Brand Management, 10(6), 361-381.
Fishbein, Martin, & Ajzen, Icek. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Flavia ́n, C., Guinaliu, M. and Torres, E. (2005), “The influence of corporate image on consumer trust: a comparative analysis in traditional versus internet banking”, Internet Research, 15(4), 447-470.
Frolick, M. N., and Chen, L.-d. (2004) “Assessing M-Commerce Opportunities,” Information Systems Management, 21(2), 53–61.
Gefen, D., & Straub, D. W. (1997). Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS quarterly, 389-400.
Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the association for Information Systems, 1(1), 8.
Hourahine, B. and M. Howard. (2004). Money on the Move: Opportunities for Financial Service Providers in the ‘Third Space’. Journal of Financial Services Marketing, 9, 57-67.
Jacoby, Jacob and Leon B. Kaplan. (1972). The Components of Perceived Risk, in Advance in Consumer Research, M. Venkatesan, ed. Chicago: Association for Consumer Research, 383-393.
Klobas, J. E., & Clyde, L. A. (2000). Adults learning to use the Internet: A longitudinal study of attitudes and other factors associated with intended Internet use. Library & Information Science Research, 22(1), 5-34.
Koivumäki, T., Ristola, A., & Kesti, M. (2008). The perceptions towards mobile services: an empirical analysis of the role of use facilitators. Personal and Ubiquitous Computing, 12(1), 67-75.
Kreyer, N., Pousttchi, K., and Turowski, K. (2003)“Mobile Payment Procedures,” e-Service Journal, 2(3), 7-22.
Kuo, Y.-F., & Yen, S.-N. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25(1), 103-110.
Lai, V. S., & Li, H. (2005). Technology acceptance model for internet banking: an invariance analysis. Information & management, 42(2), 373-386.
Laukkanen, T. (2007) ‘Measuring mobile banking customers’ channel attribute preferences in service consumption’, Int. J. Mobile Communications, 5, 123-138.
Lee, E., Kwon, K. and Schumann, D. (2005), “Segmenting the non-adopter category in the diffusion of internet banking”, International Journal of Bank Marketing, 23(5), 414-437.
Liao, Shaoyi, Yuan Pu Shao, Huaiqing Wang and Ada Chen. (1999), “The Adoption of Virtual Banking: An Empirical Study,” International journal of Information Management, 19(1), 63-74.
Lie ́bana-Cabanillas, F., Sa ́nchez-Ferna ́ndez, J., & Mun ̃oz-Leiva, F. (2014), The moderating effect of experience in the adoption of mobile payments tool in virtual social networks: The m-payment acceptance model in virtual social networks. International Journal of Information Management, 34, 151-166.
Liébana-Cabanillas, F., Muñoz-Leiva, F., & Sánchez-Fernández, J. (2015), Influence of age in the adoption of new mobile payment systems. Revista brasileira de gestão de negócios, 17(58), 1390-1407.
Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464-478.
Lim, N. (2003), Consumers’ perceived risk: sources versus consequences. Electronic Commerce Research and Applications, 2(3), 216-228.
Littler, D. and Melanthiou, D. (2006), “Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services: the case of internet banking”, Journal of Retailing and Consumer Services, 13(6), 431-443.
Lu, C., Yeh, W., & Chen, B. (2016), The study of international students’ behavior intention for leisure participation: Using perceived risk as a moderator. Journal of Quality Assurance in Hospitality & Tourism, 17(2), 224-236.
Lu, J., Yu, C. S., Liu, C., & Yao, J. E. (2003), Technology acceptance model for wireless Internet. Internet Research, 13(3), 206-222.
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. Information & Management, 48, 393-403.
Lutz, R. J., & Reilly, P. J. (1974). An exploration of the effects of perceived social and performance risk on consumer information acquisition. ACR North American Advances.
Mallat, N. (2007). Exploring consumer adoption of mobile payments: A qualitative study. The Journal of Strategic Information Systems, 16, 413-432.
Mitchell, Vincent-Wayne, 1999. Consumer Perceived Risk: Conceptualizations and Models European, Journal of Marketing, 33(1/2), 163-195.
Mukherjee, A. and Nath, P. (2003), “A model of trust in online relationship banking”, International Journal of Bank Marketing, 21(1), 5-15.
Nunnally, J. (1978). Psychometric methods.
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), 101-134.
Pousttchi, K. (2003). Conditions for acceptance and usage of mobile payment procedures.
Saltzer, E. B. (1981). Cognitive moderators of the relationship between behavioral intentions and behavior. Journal of Personality and Social Psychology, 41(2), 260.
Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic commerce research and applications, 9(3), 209-216.
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of consumer research, 15(3), 325-343.
Shih, H.P. 2004. An empirical study on predicting user acceptance of e-shopping on the Web. Information and Management, 41, 351-368.
Shin, D.-H. (2010). Modelling the interaction of users and mobile payment system: Conceptual framework. International Journal of Human-Computer Interaction, 26, 917-940.
Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2015). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 23(3), 209-223.
Smith, A.D. (2006) ‘Exploring m-commerce in terms of viability, growth and challenges’, Int. J. Mobile Communications, 4, 682-703.
Tam, J. L. (2004). Customer satisfaction, service quality and perceived value: an integrative model. Journal of marketing management, 20(7-8), 897-917.
Tan, G., Ooi, K.-B., Chong, S.-C., & Hew, S.-C. (2014). NFC mobile credit card: The next frontier of mobile payment? Telematics and Informatics, 31, 292-307.
Taylor, S. & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models, Information Systems Research, 6(2), 144-176.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
Van der Heijden, H., T. Verhagen, and M. Creemers. (2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41-48.
Venkatesh, V. (1999). Creation of favorable user perceptions: exploring the role of intrinsic motivation. MIS quarterly, 239-260.
Venkatesh, V., & Agarwal, R. (2006). Turning visitors into customers: A usability-centric perspective on purchase behavior in electronic channels. Management Science, 52(3), 367-382.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
校內:2023-06-01公開