Volume 2, Issue 2, June 2019, Page: 22-25
Continuance Intention to Third-Party Mobile Payment Usage: An Extended Theory of Planned Behavior Perspective
Wenchuan Zhu, School of Management, University of Science and Technology of China, Hefei, China
Received: May 26, 2019;       Accepted: Jun. 27, 2019;       Published: Aug. 6, 2019
DOI: 10.11648/j.ijls.20190202.12      View  100      Downloads  16
Abstract
At present, China has become the world’s largest mobile payment market, and the mobile payment has penetrated into every aspect of people’s lives. Mobile payment is a service that allows users to use their mobile terminals (usually mobile phones) to pay for goods or services they consume. The mobile payment giant represented by Alipay and WeChat has launched fierce commercial competition in this industry. Analysis and discussions of end users’ continued use intention of mobile payment are of great importance for mobile payment companies to maintain existing markets and expand into new markets. Therefore, this study adopted an extended planned behavior theory to explore the influence of perceived convenience, risk perception and attitude of users on the behavioral intention of continuous use. This paper collected the data of 300 Alipay and WeChat users in China through questionnaire survey. Structural equation model was used to verify the proposed hypotheses. The results indicated that perceived convenience has positive effects on users’ attitude and their continued use intention. Risk perception has negative impacts on users’ attitude and the intention of continuous use. Furthermore, users’ attitude has a positive effect on the continued use intention. Finally, based on the analysis results, this paper discussed some policy implications on how to improve users’ continuous use behavior.
Keywords
Mobile Payment, Continuous Use, Risk Perception, Perceived Convenience
To cite this article
Wenchuan Zhu, Continuance Intention to Third-Party Mobile Payment Usage: An Extended Theory of Planned Behavior Perspective, International Journal of Law and Society. Vol. 2, No. 2, 2019, pp. 22-25. doi: 10.11648/j.ijls.20190202.12
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Hale, D., Khan, S., Thakur, R., & Angriawan, A. (2017). Gifted Innovation: An Examination Using Different Business Theories. The Journal of Business Inquiry, 17 (1), 4-22.
[2]
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26 (3), 310-322.
[3]
Sorce, P., Perotti, V., & Widrick, S. (2005). Attitude and age differences in online buying. International Journal of Retail & Distribution Management, 33 (2), 122-132.
[4]
Ozturk, A. B., Bilgihan, A., Nusair, K., & Okumus, F. (2016). What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, 36 (6), 1350-1359.
[5]
Schaefers, T., Lawson, S. J., & Kukar-Kinney, M. (2016). How the burdens of ownership promote consumer usage of access-based services. Marketing Letters, 27 (3), 569-577.
[6]
Chen, R., & He, F. (2003). Examination of brand knowledge, perceived risk and consumers' intention to adopt an online retailer. Total Quality Management & Business Excellence, 14 (6), 677-693.
[7]
Chang, C. C., Yan, C. F., & Tseng, J. S. (2012). Perceived convenience in an extended technology acceptance model: Mobile technology and English learning for college students. Australasian Journal of Educational Technology, 28 (5).
[8]
Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24 (3), 369-392.
[9]
Arvidsson, N. (2014). Consumer attitudes on mobile payment services–results from a proof of concept test. International Journal of Bank Marketing, 32 (2), 150-170.
[10]
Jia, L., Hall, D., & Sun, S. (2014). The effect of technology usage habits on consumers’ intention to continue use mobile payments.
[11]
Martin, S. L., & Javalgi, R. R. G. (2016). Entrepreneurial orientation, marketing capabilities and performance: the moderating role of competitive intensity on Latin American International new ventures. Journal of Business Research, 69 (6), 2040-2051.
[12]
Garbarino, E., Slonim, R., & Villeval, M. C. (2019). Loss aversion and lying behavior. Journal of Economic Behavior & Organization, 158, 379-393.
[13]
Kuo, N. T., Cheng, Y. S., Chang, K. C., & Chuang, L. Y. (2018). The asymmetric effect of tour guide service quality on tourist satisfaction. Journal of Quality Assurance in Hospitality & Tourism, 19 (4), 521-542.
[14]
Guiso, L., Sapienza, P., & Zingales, L. (2018). Time varying risk aversion. Journal of Financial Economics, 128 (3), 403-421.
[15]
Cohn, A., Engelmann, J., Fehr, E., & Maréchal, M. A. (2015). Evidence for countercyclical risk aversion: An experiment with financial professionals. American Economic Review, 105 (2), 860-85.
[16]
O' Donoghue, T., & Somerville, J. (2018). Modeling risk aversion in economics. Journal of Economic Perspectives, 32 (2), 91-114.
Browse journals by subject