바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

The Comparative Study on Third Party Mobile Payment Between UTAUT2 and TTF

The Comparative Study on Third Party Mobile Payment Between UTAUT2 and TTF

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2017, v.15 no.11, pp.5-19
https://doi.org/https://doi.org/10.15722/jds.15.11.201711.5
Wu, Run-Ze (Dept. of Electronic Commerce, Kongju National University)
Lee, Jong-Ho (Dept. of Electronic Commerce, Kongju National University)
  • 다운로드 수
  • 조회수

Abstract

Purpose - According to the research findings, it proposes corresponding market promotion schemes, for Alipay, WeChat wallet and even other payment service providers and mobile internet companies to understand the factors which promote or hinder users' acceptance of mobile payment. Research design, data, and methodology - Statistic analysis of data and social science statistical software of IBM Statistics 23.0 and IBM SPSS AMOS 23.0 were adopted for all the data researched. Results - The technical features of the third party mobile payment and the task characteristics of users have positive influence on the matching degree between task and technology, and the matching degree between task and technology of the third party mobile payment has positive influence on the performance expectancy, effort expectancy and usage intention. The social influence, facilitating condition, price value and enjoyment motivation have significant and positive influence on users' intention of mobile payment adoption. The perceive security of the mobile fingerprint payment of users has positive influence on users' intention of usage. Conclusions - This research has the main contribution on the analysis on the key factors with influence on the third party mobile payment usage by utilizing the integrated model of UTAUT2 and TTF.

keywords
UTAUT2, TTF, Mobile Third Party Payment, Alipay, WeChat Wallet

참고문헌

1.

Abrahão, R. S., Moriguchi, S. N., & Andrade, D. F. (2016). Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology(UTAUT). RAI Revista de Administração e Inovação, 13(3), 211-230.

2.

Aladwani, A. M. (2002). The development of two tools for measuring the easiness and usefulness of transactional Web sites. European Journal of Information Systems, 11(3), 223-234.

3.

Alysys (2016). Retrieved October 15, 2017 from http://www.analysys.cn/view/report/detail.html?columnId=22&articleId=1000461

4.

Baghdadi, Y. (2013). Enterprise social interaction patterns for enterprise transformation, J. Enterp. Transform, 3(4), 307-329.

5.

Chauhan, S., & Jaiswal, M. (2016). Determinants of acceptance of ERP software training in business schools: Empirical investigation using UTAUT model. The International Journal of Management Education, 14(3), 248-262.

6.

Choi, S., & Kang, Y. S. (2016). Consumers’ Intentions for the Usage of Mobile Payments: Extending UTAUT with Innovativeness, Trust and Network Effect. Korean telecommunications policy review, 23(4), 29-52.

7.

Chu, Y., & Huang, L. H. (2005). Mobile business applications adoption model based on the concepts of task/techonlogy fit. Proceedings of ICSSSM 05, 13(15), 1355-1359.

8.

Chun, T. Y., & Park, N. H. (2015). The Effect of Augmented Reality Traits on Presence, Flow, and Relational Continuance Behavior with Smart-Phones. Journal of Distribution Science, 13(5), 45-52.

9.

Cocosila, M., & Trabelsi, H. (2016). An integrated value-risk investigation of contactless mobile payments adoption. Electronic Commerce Research and Applications, 20, 159-170.

10.

DCCI (2016). Retrieved October 15, 2017. http://www.cnnic.cn/hlwfzyj/hlwxzbg/hlwtjbg/201608/t20160803_54392.htm

11.

Ghezzi, A., Renga, F., Balocco, R., & Pescetto, P. (2010). Mobile payment applications: Offer state of the art in the Italian market. Info, 12(5), 3-22.

12.

Goodhue, D. L., & Thompson, R. L. (1995). Tasktechnology Fit and Individual Performance. MIS Quarterly, 19(2), 213-236

13.

Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2006). Multivariate data analysis with readings (6th ed.). New Jersey: Prentice Hall.

14.

iResearch (2016). Retrieved October 15, 2017 from http://www.iresearchchina.com/content/details7_27102.html

15.

Jo, H. J. (2014). The Effects of Consumption Value on Satisfaction and Loyalty: Focusing on Chinese Smartphone Users. Journal of Distribution Science, 12(8), 123-132.

16.

Jöreskog, K. G. (1971). Simultaneous factor analysis in several populations. Psychometrika, 36, 409-426.

17.

Ju, Y. H., Yang, H. C., & Cho, H. Y. (2014). An Analytical Study of Mobile Internet Users’ Lifestyles for the Promotion of Mobile Business. Journal of Distribution Science, 12(7), 103-110.

18.

Junglas, I., Abraham, C., & Watson, R. T. (2008). Tasktechnology fit for mobile locatable information systems. Decision Support Systems, 45(4), 1046-1057.

19.

Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model. International Journal of Medical Informatics, 78(6), 404-416.

20.

Kim, H. K., & Jo, H. J. (2013). The Effects of Consumption Value of Smartphone Users on Relational Factors and Repurchase Intention. Journal of Distribution Science, 11(4), 73-80.

21.

Lee, C. C., Cheng, H. K., & Cheng, H. H. (2007). An empirical study of mobile commerce in insurance industry: Task-technology fit and individual differences. Decision Support Systems, 43(1), 95-110.

22.

Lee, S. C., & Suh, E. K. (2012). User Satisfaction of Mobile Convergence Device: The Expectation and Disconfirmation Approach. Journal of Distribution Science, 10(11), 89-99.

23.

Lee, S. J., & Dae. J. (2014). The Effect of Mobile Tourism Information Service Features on Perceived Value, Satisfaction, and Using Intentions. Journal of Distribution Science, 12(12), 75-82.

24.

Lee, S. J., & Dai, J. (2015). Use Intentions of Mobile Tour Apps through Expansion of the Technology Acceptance Model. Journal of Distribution Science, 13(10), 135-142.

25.

Liu, Y. (2015). Consumer protection in mobile payments in China: A critical analysis of Alipay's service agreement. Computer Law & Security Review, 31(5), 679-688.

26.

Morosan, C., & DeFranco, A. (2016). It's about time:Revisiting UTAUT2 to examine consumers’intentions to use NFC mobile payments in hotels. International Journal of Hospitality Management, 53, 17-29.

27.

Oh, Y. S., & Lee, Y. C. (2012). An Exploratory Study of the Utilitarian and Hedonic Values on Buying Intention in Mobile Service. Journal of Distribution Science, 10(9), 23-29.

28.

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(2016), 404-414.

29.

Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689-703.

30.

Oliveira, Y., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404-414.

31.

Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL a Multiple-item Scale for Assessing Electronic Service Quality. Journal of Service Research, 7(3), 213-233.

32.

Salisbury, R. P., Pearson, A., & Miller, D. W. (2001). Identifying barriers that keep shoppers off the World Wide Web: Developing a scale of perceived web security. Industrial Management & Data Systems, 101(4), 165-176.

33.

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.

34.

Shen, Y. C., Huang, C. Y., Chuand, C. H., & Hsu, C. T. (2010). A Benefit-Cost Perspective of The Consumer Adoption of The Mobile Banking System. Behaviour & Information Technology, 29(5), 497-511.

35.

Tan, W. H., Tan, B. I., & Ooi, K. B. (2011). Cash, credit card or mobile phone? Exploring the intention to adopt mobile credit card: A conceptual model. International Research Symposium in Service Management Yogyakarta, 26-30.

36.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

37.

Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information technology:extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.

38.

Wang Y. S., & Shih, Y. W. (2009). Why do people use information kiosks: A validation of the Unified Theory of Acceptance and Use of Technology. Government Information Quarterly, 26(1), 158-165.

39.

Wu, R. Z., & Lee, J. H. (2017). The Use Intention of Mobile Travel Apps by Korea-Visiting Chinese Tourists. Journal of Distribution Science, 15(5), 53-64.

40.

Wu, R. Z., & Lee, J. H. (2016). The Effects of Repurchase Intention by Social Commerce Traits and Consumer’s Traits in China. Journal of Distribution Science, 14(5), 97-106.

41.

Yang, S. H., & Hwang, Y. S. (2016). A Study on the Use of Fintech Payment Services Based on the UTAUT Model. Journal of management &economics, 38(1), 183-209.

42.

Yoon, C. (2010). Antecedents of Customer Satisfaction with Online Banking in China: The Effects of Experience. Computers in Human Behavior, 26(6), 1296-1304.

43.

Zhang, T. L., & Lee, J. H. (2016). A Study on the Use Intention of Easy Mobile Payment Services. The e-business studies, 17(6), 203-218.

44.

Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760-767.

The Journal of Distribution Science(JDS)