Skip to main content

The Impact of Wechat Red Packet Feature at Achieving Users Satisfaction and Loyalty: Wechat Users in China

  • Conference paper
  • First Online:
Advances in Swarm Intelligence (ICSI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12690))

Included in the following conference series:

Abstract

WeChat has become an essential social media platform in China. This research investigates the importance of the WeChat Red packet as a motivator at achieving user’s satisfaction and loyalty in China. To investigate its impact, and factors that attribute to its popularity and acceptability, we extended technology acceptance model (TAM), in addition to the main model factors, “perceived usefulness and perceived ease of use” our proposed model include, perceived trust, perceived security, and perceived entertainment. The questionnaire was designed, and SPSS was used for the analysis. The research results provide insight into how WeChat Red Packet can motivate users and build their satisfaction to improve their loyalty which in turn increases WeChat users’. These results have future implication and practice for research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Xingang, L.: Analysis of criminal activities exploiting social media: with special regards to criminal cases of Wechat fraud in Chinese jurisdiction. J. Legal Stud. “Vasile Goldiş. 26(40), 19–36 (2020)

    Google Scholar 

  2. Hui, C., Cao, Y.: Computers in human behavior examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: evidence from China. Comput. Human Behav. 41, 104–111 (2014)

    Article  Google Scholar 

  3. Gao, F., Zhang, Y.: Analysis of WeChat on iPhone. In: 2nd International Symposium on Computer, Communication, Control and Automation, pp. 278–281 (2013

    Google Scholar 

  4. Chang, Y.P., Zhu, D.H.: Computers in human behavior understanding social networking sites adoption in China: a comparison of pre-adoption and post-adoption. Comput. Human Behav. 27(5), 1840–1848 (2011)

    Article  Google Scholar 

  5. Kim, Y.M.: Gender role and the use of university library website resources: a social cognitive theory perspective. J. Inf. Sci. 36(5), 603–617 (2010)

    Article  Google Scholar 

  6. Arokiasamy, A.R.A.: The impact of customer satisfaction on customer loyalty and intentions to switch in the banking. 5(1), 14–21

    Google Scholar 

  7. Abosag, I., East, B.S., Tynan, C., Lewis, C.: The commitment-trust theory: the British and Saudi Arabian cross-national perspectives. J. Bus. Ind. Mark. 1994, 1–24 (2006)

    Google Scholar 

  8. Veloutsou, C.: Identifying the dimensions of the product-brand and consumer relationship. J. Mark. Manag. 23(1–2), 7–26 (2007)

    Article  Google Scholar 

  9. Ndubisi, N.O.: Relationship marketing and customer loyalty. Marketing intelligence & planning. 13 Feb, (2007)

    Google Scholar 

  10. Dong-Hun, L.: Growing popularity of social media and business strategy. SERI Q 3(4), 112–117 (2010)

    Google Scholar 

  11. A. . WILSON, “The internet is destroying the world as we know it,” 2019.

    Google Scholar 

  12. Constantinides, E., Fountain, S.J.: Web 2.0: conceptual foundations and marketing issues. J. Direct Data Digit. Mark. Pract. 9(3), 231–244 (2008)

    Google Scholar 

  13. Reichheld, F.F., Schefter, P.: E-Loyalty: your secret weapon on the web. Harvard Bus. Rev. 78(4), 105–113 (2000)

    Google Scholar 

  14. China, E.: WeChat e-commerce guide. [Online]. Available: https://www.marketingtochina.com/wechat-e-commerce-guide/2019. Accessed 18 Feb 2019

  15. Chao, E.: How WeChat became China’s app for everything. Innovation Agents. [Online]. Available: https://www.fastcompany.com/3065255/china-wechat-tencent-red-envelopes-and-social-money. Accessed 18 Feb 2019

  16. Wechatpay. How to add a foreign credit card to WeChat pay (2018)

    Google Scholar 

  17. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989)

    Article  Google Scholar 

  18. Qu, Y., Rong, W., Chen, H., Ouyang, Y., Xiong, Z.: Influencing factors analysis for a social network web based payment service in China. J. Theor. Appl. Electron. Comer. Res. 13(3), 99–113 (2018)

    Article  Google Scholar 

  19. Zhou, T.: An empirical examination of initial trust in mobile payment. Wireless Pers. Commun. 77(2), 1519–1531 (2014)

    Article  Google Scholar 

  20. Alraimi, K.M., Zo, H., Ciganek, A.P.: Computers & education understanding the MOOCs continuance: the role of openness and reputation. Comput. Educ. 80, 28–38 (2015)

    Article  Google Scholar 

  21. Alonso-Dos-Santos, M., Soto-Fuentes, Y., Valderrama-Palma, V.A.: Determinants of mobile banking users’ loyalty. J. Promot. Manag. 26(5), 615-633 (2020)

    Google Scholar 

  22. Katawetawaraks, C., Wang, C.L.: Online shopper behavior: influences of online shopping decision. Asian J. Bus. Res. 1(2), 66–74 (2011)

    Article  Google Scholar 

  23. Hossain, M.S., Russel, A.H., Robidas, L.C.: Analysis of factors affecting the customer’s satisfaction with reference to ATM services in Dhaka city. IOSR J. Bus. Manag. 17(11), 1 (2015)

    Google Scholar 

  24. Moorman, C., Deshpande, R., Zaltman, G.: Factors affecting trust in market research relationships. J. Mark. 57(1), 81–101 (1993)

    Article  Google Scholar 

  25. Schurr, P.H., Ozanne, J.L.: Influence on exchange processes: buyers’ preconceptions of a seller’s trustworthiness and bargaining toughness. J. Consum. Res. 11(4), 939–953 (1985)

    Article  Google Scholar 

  26. Wilson, D.T.: An Integrated Model of Buyer-Seller Relationships. The Pennsylvania State University. Institute for the Study of Business Markets. The Pennsylvania State University, vol. 3004, no. 814. (1995) (ISBM Report lo-1995)

    Google Scholar 

  27. Evans, K.R., Crosby, L.A., Cowles, D.: Relationship quality in services selling: an interpersonal influence perspective. J. Mark. 54(3), 68–81 (1990)

    Article  Google Scholar 

  28. James, C.A., Narus, J.A.: A model of the distributor’s perspective of a distributor-manufacturer working relationship. J. Mark. Appl. Electron. 48(1), 62–74 (1984)

    Google Scholar 

  29. Bitner, M.: Building service relationships: it’s all about promises. J. Acad. Mark. Sci. 23(4), 246–251 (1995)

    Article  Google Scholar 

  30. Gefen, D.: E-commerce: the role of familiarity and trust. Omega 28(6), 725–737 (2000)

    Article  Google Scholar 

  31. Guo, X., Ling, K.C., Liu, M.: Evaluating factors influencing customer satisfaction towards online shopping in China. Asian Soc. Sci. 8(13), 40–50 (2012)

    Article  Google Scholar 

  32. Eid, M.I.: determinants of e-commerce customer satisfaction, trust, and loyalty in Saudi Arabia. J. Electron. Commer. Res. 12, 78–93 (2007)

    Google Scholar 

  33. Chellappa, R.K.: Consumers’ trust in electronic commerce transactions: the role of perceived privacy and perceived security. under submission 13 (2008)

    Google Scholar 

  34. Whysall, P.: Retailing and the internet: a review of ethical issues. Int. J. Retail Distrib. Manag. 28(11), 481–489 (2000)

    Article  Google Scholar 

  35. Csikszentmihalyi, M.: Flow: The Psychology of Optimal Experience, Harper and Row. Harper and Row, New York (1990)

    Google Scholar 

  36. Xiao, Y., Meng, K., Takahashi, D.: Accountability using flow-net: design, implementation, and performance evaluation. Secur. Commun. Netw. 5(1), 29–49 (2012)

    Article  Google Scholar 

  37. Wu, Z., Ma, X.: Money as a social currency to manage group dynamics: red packet gifting in Chinese online communities. In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp. 2240–2247 (2017)

    Google Scholar 

  38. Panda, T.K.: Creating customer lifetime value through effective CRM in the financial services industry. J. Serv. Res. 22, 157–171 (2003)

    Google Scholar 

  39. Jones, M.A., Mothersbaugh, D.L., Beatty, S.E.: Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. J. Bus. Res. 55, 441–450 (2002)

    Article  Google Scholar 

  40. Kotler, P., Rackham, N., Krishnaswamy, S.: Ending the war between sales and marketing. Harvard Bus. Rev. 84(7/8), 68 (2006)

    Google Scholar 

  41. Teich, I.: Holding on to customers: the bottom-line benefits of relationship building. Bank Mark. 29(2), 12–13 (1997)

    Google Scholar 

  42. Gerhardt, P., Schilke, O., Wirtz, B.W.: Electronic commerce research and applications understanding consumer acceptance of mobile payment services: An empirical analysis. Electron. Commer. Res. Appl. 9(3), 209–216 (2010)

    Article  Google Scholar 

  43. Lu, Y., Zhou, T., Wang, B.: Computers in human behavior exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Comput. Human Behav. 25(1), 29–39 (2009)

    Article  Google Scholar 

  44. Nunnally, J.C., Bernstein, I.: Psychometric Theory, 3rd edn. McGraw-Hill, New York (1994)

    Google Scholar 

  45. Peterson, R.A.: A meta-analysis of Cronbach’s coefficient alpha. J. Consum. Res. 21(2), 381–391 (1994)

    Article  Google Scholar 

  46. Lance, C.E., Butts, M.M., Michels, L.C.: What did they really say? Organ. Res. Methods 9(2), 202–220 (2006)

    Article  Google Scholar 

  47. Sinclair, K., et al.: Development of a questionnaire to measure the level of reflective thinking. Assess Eval. High. Educ. 25(4), 381–395 (2007)

    Google Scholar 

  48. Rai, A., Lang, S.S., Welker, R.B.: Assessing the validity of IS success models: an empirical test and theoretical analysis. Inf. Syst. Res. 13(1), 50–69 (2002)

    Article  Google Scholar 

  49. Lin, H.H., Wang, Y.S.: An examination of the determinants of customer loyalty in mobile commerce contexts. Inf. Manag. 43(3), 271–282 (2006)

    Article  Google Scholar 

  50. Feng, E.Q.: An exploration of incentives motivating WeChat uses in China. (4) (2016)

    Google Scholar 

  51. Ahmed, S.A.A.M., Qiu, T., Xia, F., Jedari, B.: Event-based mobile social networks: services, technologies, and applications. IEEE Access 2, 500–513 (2014)

    Article  Google Scholar 

  52. Cyr, D.: Modeling web site design across cultures: relationships to trust, satisfaction, and e-loyalty. J. Manag. Inf. Syst. 24(4), 47–72 (2008)

    Article  Google Scholar 

  53. Pi, S.-M., Liao, H.-L., Chen, H.-M.: Factors that affect consumers’ trust and continuous adoption of online financial services. Int. J. Bus. Manag. 7(9), 108–119 (2012)

    Article  Google Scholar 

  54. Chong, A.Y.-L.: Understanding mobile commerce continuance intentions: an empirical analysis of Chinese consumers. J. Comput. Inf. Syst. 53(4), 22–30 (2013)

    Google Scholar 

  55. Wolfinbarger, M.: eTailQ: Dimensionalizing, measuring and predicting etail quality. J. Retail. 79, 183–198 (2003)

    Article  Google Scholar 

  56. Szymanski, D.M., Hise, R.T.: E-satisfaction: an initial examination. J. Retail. 76(3), 309–322 (2000)

    Article  Google Scholar 

  57. Onn, W., Soon, L.: Determinants of mobile commerce customer loyalty in Malaysia. Procedia - Soc. Behav. Sci. 224, 60–67 (2016)

    Article  Google Scholar 

  58. Flavián, C., Guinalíu, M.: Consumer trust, perceived security and privacy policy: three basic elements of loyalty to a web site. Ind. Manag. Data Syst. 106(5), 601–620 (2006)

    Article  Google Scholar 

  59. Mumin, Y.A., Ustarz, Y., Yakubu, I.: Automated teller machine (atm) operation features and usage in Ghana: implications for managerial decisions. J. Bus. Adm. Educ. 5(2), 137–157 (2014)

    Google Scholar 

  60. Mackey, T.P.: Exploring the relationships between web usability and students perceived learning in web-based multimedia (WBMM) tutorials. Comput. Educ. 50, 386–409 (2008)

    Article  Google Scholar 

  61. 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)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sleiman, K.A.A., Juanli, L., Cai, X., Yubo, W., Hongzhen, L., Liu, R. (2021). The Impact of Wechat Red Packet Feature at Achieving Users Satisfaction and Loyalty: Wechat Users in China. In: Tan, Y., Shi, Y. (eds) Advances in Swarm Intelligence. ICSI 2021. Lecture Notes in Computer Science(), vol 12690. Springer, Cham. https://doi.org/10.1007/978-3-030-78811-7_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-78811-7_53

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78810-0

  • Online ISBN: 978-3-030-78811-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics