Social Aware Mobile Payment Service Popularity Analysis: The Case of WeChat Payment in China

  • Yue Qu
  • Wenge RongEmail author
  • Yuanxin Ouyang
  • Hui Chen
  • Zhang Xiong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9464)


Since its release in 2013, WeChat payment service has gradually become one of the most popular mobile payment services in China. Different from other mobile payment platforms, WeChat payment bundles with the most popular social network service in China, WeChat. It is then becoming interesting to investigate the reason beneath its popularity by combination of social network and mobile payment. In this research, we applied the technology acceptance model to predict the acceptability of WeChat payment and to identify the variables which attribute to the popularity of WeChat payment. Besides the primary explanatory variables of TAM, the proposed framework is further extended to include the constructs of Social Interaction, Trust, Perceived Enjoyment and Use Context. Online survey has been collected by respondents chosen randomly among users of WeChat payment. The results have shown that the proposed model is able to explain the variance in user’s behaviour intention to use WeChat payment services. We hope this study can provide insights to understand the adoption behaviour of social aware mobile payment and service and help further improve their services.


Mobile payment WeChat Technology acceptance model Social interaction Enjoyment Trust 



This work was partially supported by the State Key Laboratory of Software Development Environment of China (No. SKLSDE-2015ZX-23), the National Natural Science Foundation of China (No. 61472021), the National High Technology Research and Development Program of China (No. 2013AA01A601), and the Fundamental Research Funds for the Central Universities.


  1. 1.
    Liu, Y., Li, H.: Exploring the impact of use context on mobile hedonic services adoption: an empirical study on mobile gaming in china. Comput. Hum. Behav. 27(2), 890–898 (2011)CrossRefGoogle Scholar
  2. 2.
    Hausman, D.A., Soares, A.M., Pinho, J.C.: Advertising in online social networks: the role of perceived enjoyment and social influence. J. Res. Interact. Mark. 8(3), 245–263 (2014)CrossRefGoogle Scholar
  3. 3.
    Carminati, B., Ferrari, E., Tran, N.H.: Enforcing trust preferences in mobile person-to-person payments. In: International Conference on Social Computing, pp. 429–434 (2013)Google Scholar
  4. 4.
    Ciganek, A.P., Haines, M.N., Haseman, W.D.: Challenges of adopting web services: experiences from the financial industry. In: Proceedings of Annual Hawaii International Conference on System Sciences, pp. 168b–168b (2005)Google Scholar
  5. 5.
    Davis, F.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)CrossRefGoogle Scholar
  6. 6.
    Davis, F., Bagozzi, R., Warshaw, P.: User acceptance of computer technology: a comparison on two theoretical models. Manage. Sci. 35(8), 729–736 (1989)CrossRefGoogle Scholar
  7. 7.
    Hair, J.F., Black,W.C., Babin, B.J., Anderson, R.E., Tatham, R.L.: Multivariate data analysis, 6th Edition. Pearson Prentice Hall Upper Saddle River, NJ (2006)Google Scholar
  8. 8.
    Klein, A., Ahlf, H., Sharma, V.: Social activity and structural centrality in online social networks. Telematics Inform. 32(2), 321–332 (2015)CrossRefGoogle Scholar
  9. 9.
    Liébana-Cabanillas, F., Sánchez-Fernández, J., Muñoz-Leiva, F.: The moderating effect of experience in the adoption of mobile payment tools in virtual social networks. Int. J. Inf. Manage. 34(2), 151–166 (2014)CrossRefGoogle Scholar
  10. 10.
    Lin, J.C., Lu, H.: Towards an understanding of the behavioural intention to use a web site. Int. J. Inf. Manage. 20(3), 197–208 (2000)CrossRefGoogle Scholar
  11. 11.
    Mackey, T.P., Ho, J.: Exploring the relationships between web usability and students’ perceived learning in web-based multimedia tutorials. Comput. Educ. 50(1), 386–409 (2008)CrossRefGoogle Scholar
  12. 12.
    Mallat, N.: Exploring consumer adoption of mobile payments-a qualitative study. J. Strateg. Inf. Syst. 16(4), 413–432 (2007)CrossRefGoogle Scholar
  13. 13.
    Martin, F., Ertzberger, J.: Here and now mobile learning: an experimental study on the use of mobile technology. Comput. Educ. 68, 76–85 (2013)CrossRefGoogle Scholar
  14. 14.
    Mohamadi, M., Ranjbaran, T.: Effective factors on the success or failure of the online payment systems, focusing on human factors. In: e-Commerce in Developing Countries (2013)Google Scholar
  15. 15.
    Team, C.: Insights of china mobile payment (wechat, alipay) users (2014).
  16. 16.
    Team, C.: echat, weibo or alipay? who won hongbao war in 2015? (2015).
  17. 17.
    Verma, N., Singh, J.: Improved web mining for e-commerce website restructuring. In: Computational Intelligence & Communication Technology (CICT), pp. 155–160 (2015)Google Scholar
  18. 18.
    Yang, Q., Pang, C., Liu, L., Yen, D.C., Tarn, J.M.: Exploring consumer perceived risk and trust for online payments: an empirical study in chinas younger generation. Comput. Hum. Behav. 50, 9–24 (2015)CrossRefGoogle Scholar
  19. 19.
    Zhou, T.: An empirical examination of continuance intention of mobile payment services. Decis. Support Syst. 54(2), 1085–1091 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Yue Qu
    • 1
    • 2
  • Wenge Rong
    • 1
    • 2
    Email author
  • Yuanxin Ouyang
    • 1
    • 2
  • Hui Chen
    • 1
    • 2
  • Zhang Xiong
    • 1
    • 2
  1. 1.State Key Laboratory of Software Development EnvironmentBeihang UniversityBeijingChina
  2. 2.School of Computer Science and EngineeringBeihang UniversityBeijingChina

Personalised recommendations