Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

Research on the influence of union-pay M-payment quality and brand personality on user viscosity

  • Liu, Zi-Yang (Dept. of Global Business Graduate School, Kyonggi University) ;
  • Wang, Jun-Lin (Dept. of Global Business Graduate School, Kyonggi University) ;
  • Liu, Jiayu (Dept. of Global Business Graduate School, Kyonggi University) ;
  • Liu, Xiao-yin (Dept. of Global Business Graduate School, Kyonggi University) ;
  • Liao, Kai (Dept. of Global Business Graduate School, Kyonggi University)
  • Received : 2020.03.06
  • Accepted : 2020.04.10
  • Published : 2020.04.29
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study is to explore the impact of Union-Pay mobile payments on user viscosity from the perspective of service quality and brand personality. In the future, it is meaningful for CUP to obtain a stable and loyal user group in China's mobile payment market. This study uses SPSS22.0 and AMOS statistical analysis tools to conduct empirical research. In this case, this study uses mobile service quality and The brand personality is the independent variable, and the user's viscosity is the dependent variable, which studies the impact on the user's viscosity in the context of China Union-Pay mobile payment. the study. According to the analysis results, the research goal: service quality has a significant positive correlation effect on user perceived value; service quality has a significant positive correlation effect on user viscosity; perceived value has significant positive correlation effect on user viscosity; brand personality to user Viscosity has a significant positive correlation effect; brand personality has a significant positive correlation effect on user perceived value. Through this research, we can make Suggestions on the industrial development of mobile payment enterprises and provide better opinions on the development of mobile payment.

이 연구의 목적은 서비스 품질 및 브랜드 특성의 관점에서 Union-Pay 모바일 결제가 사용자 점도에 미치는 영향을 탐색하는 것이다. 앞으로 중국Union-Pay가 모바일결제 시장에서 안정적이고 충실한 사용자 그룹을 확보하는 것이 의미가 있다. 이 연구는 SPSS22.0 및 AMOS 통계 분석 도구를 사용하여 경험적 연구를 수행을 했다. 본 연구는 모바일 서비스 품질을 사용하고 브랜드 성격은 독립 변수이고, 사용자의 점도는 종속 변수이며, China Union-Pay 모바일 결제와 관련하여 사용자의 점도에 미치는 영향을 연구하였다. 연구 분석결과에 따르면, 서비스 품질이 사용자가 인식 한 가치에 유의 한 영향을 미친다는 결과 나타났다. 서비스 품질은 사용자 점도에 유의 한 양의 관계를 갖다. 인식 된 값은 사용자 점도에 유의한 양의 효과를 나타났다. 사용자에 대한 브랜드 특성이 사용자 점도에 유의한 양의 효과를 나타났다. 브랜드 성격은 사용자가 인식 한 가치에 유의 한 양의 관계 영향을 미친다. 이 연구를 통해 모바일 결제 기업의 산업 발전에 대한 제안을 했고 모바일 결제발전에 대한 더 나은 의견을 제시 하였다.

Keywords

References

  1. GiocondaMele;ValentinaNdou;GiustinaSecundo., (2018),Creating value from Social Big Data: Implications for Smart Tourism Destinations, Information Processing&Management, volume54,page847-860 https://doi.org/10.1016/j.ipm.2017.10.006
  2. Ulrike Gretzel;Marianna Sigala;Zheng Xiang;Chulmo Koo.,(2015) .Smart tourism: foundations and developments, Electronic Markets ,volume25,pp179-188 https://doi.org/10.1007/s12525-015-0196-8
  3. Yan, Y. , Huang, C. , Wang, Q. , & Hu, B.,(2018). Data mining of customer choice behavior in internet of things within relationship network. International Journal of Information Management.
  4. Delone W H, Mclean E R.,(2004).Measuring e-commerce success:Applying the De Lone & Mc Lean information systems success model. International Journal of Electronic Commerce,9(1): 31-47. https://doi.org/10.1080/10864415.2004.11044317
  5. Moorman C, Zaltman G, Despande R.,(1993). Factors affecting trust in market research relationships. Journal of marketing,57(01):81-101. https://doi.org/10.2307/1252059
  6. Zhou T.,(2013).An empirical examination of continuance intention of mobile payment services.Decision Support Systems, 54(2): 1085-1091. https://doi.org/10.1016/j.dss.2012.10.034
  7. Lee M K O, Turban E.,(2001).A trust model for consumer internet shopping. International Journal of Electronic Commerce,6(1): 75-91. https://doi.org/10.1080/10864415.2001.11044227
  8. Kujala, S. , Roto, V. , V??N?Nen-Vainio-Mattila, K. , Karapanos, E. , & Sinnel,A.,(2011). Ux curve: a method for evaluating long-term user experience. Interacting with Computers, 23(5), 473-483. https://doi.org/10.1016/j.intcom.2011.06.005
  9. Dahai,D & Yufang,J.,(2003). Research on the antecedents of consumer behavioral preferences. Nankai Management Review, 6 (6), 46-51.
  10. Warshaw, P. R., & Davis, F. D.,(1985). Disentangling behavioral intention and behavioral expectation. Journal of Experimental Social Psychology, 21(3), 213-228. https://doi.org/10.1016/0022-1031(85)90017-4
  11. Aizhong, H&Wanchen,G.,(2010).A Preliminary Study on the Mechanism and Models of the Effect of Online Shopping Experience on Customer Behavior Tendency. East China Economic Management (3), 112-116.
  12. Bagozzi, R.P. ,& Yi,Y.,(1988). On the evaluation of structural equation model. Journal of Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1007/BF02723327
  13. Hull, R., Kumar, B., Daniel Lieuwen, Peter F. PatelSchneider, Sahuguet, A., & Varadarajan, S., et al. ,(2003). "everything personal, not just business:" improving user experience through rule-based service customization. Lecture Notes in Computer Science, 29-10, page. 149-164.