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Factors Determining the Adoption of Mobile Payment Among Elderly in Shandong, China

Published:02 December 2021Publication History

ABSTRACT

This study examines the effect of perceived risk and security in facilitating mobile payment adoption among the elderly in Shandong, China. A survey using structured questionnaires was carried out with a total of 398 valuable responses collected. The proposed model was analysed using IBM SPSS v.24. The results reveal that perceived risk and security positively predict attitude towards the usage of mobile payment. This study highlights a possible issue in inhibiting the adoption of mobile payment systems among the elderly in Shandong, China from the theoretical lens of Technology acceptance model (TAM). Accordingly, several important implications for academics and industry decision-makers are formulated.

References

  1. Abrazhevich D. 2001. Classification and Characteristics of Electronic Payment Systems. In: Bauknecht K., Madria S.K., Pernul G. (eds) Electronic Commerce and Web Technologies. EC-Web 2001. Lecture Notes in Computer Science, 2115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44700-8_8Google ScholarGoogle ScholarCross RefCross Ref
  2. Aigbe, Princewill and Akpojaro, Jackson. 2014. Analysis of Security Issues in Electronic Payment Systems. International Journal of Computer Applications, 108(10), 10-14Google ScholarGoogle ScholarCross RefCross Ref
  3. Ainscough, T, L. 1996. The Internet for the rest of us: Marketing on the World Wide Web. Journal of Consumer Marketing, 13(2), 36-47Google ScholarGoogle ScholarCross RefCross Ref
  4. Arning K., Ziefle M. 2009. Different Perspectives on Technology Acceptance: The Role of Technology Type and Age. In: Holzinger A., Miesenberger K. (eds) HCI and Usability for e-Inclusion. USAB 2009. Lecture Notes in Computer Science, 5889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10308-7_2Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Arvidsson N., Hedman J., Segendorf B. 2017. Cashless Society: When Will Merchants Stop Accepting Cash in Sweden - A Research Model. In: Feuerriegel S., Neumann D. (eds) Enterprise Applications, Markets and Services in the Finance Industry. FinanceCom 2016. Lecture Notes in Business Information Processing, 276. Springer, Cham. https://doi.org/10.1007/978-3-319-52764-2_8Google ScholarGoogle ScholarCross RefCross Ref
  6. Ayo, C. K. 2010. The State of e-Banking Implementation in Nigeria: A Post-Consolidation Review. Journal of Emerging Trends in Economics and Management Sciences, 1(1), 37-45.Google ScholarGoogle Scholar
  7. Berthon, P., Pitt, L., Ewing, M. and Carr, C.L. 2002. Potential research space in MIS: a framework for envisioning and evaluating research replication, extension, and generation. Information Systems Research, 13(4), 416-427.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Brauner, P., van Heek, J., Schaar, A. K., Ziefle, M., Al-huda Hamdan, N., Ossmann, L., Heller, F., Borchers, J.,Scheulen, K., Gries, T., Kraft, H., Fromm, H., Franke, M., Wentz, C., Wagner, M., Dicke, M., Möllering, C., and Adenau, F. 2017. Towards Accepted Smart Interactive Textiles - The interdisciplinary project Intuitex. In HCI in Business, Government, and Organisations (HCIGO), Held as Part of HCI International 2017 (in press). Springer International Publishing.Google ScholarGoogle Scholar
  9. Casaló, L. V., Flavián, C., & Guinalíu, M. 2010. Relationship quality, community promotion and brand loyalty in virtual communities: Evidence from free software communities. International Journal of Information Management, 30(4), 357–367.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Chang, G., & Caneday, L. 2011. Web-based GIS in tourism information search: Perceptions, tasks, and trip attributes. Tourism Management, 32(6), 1435-1437.Google ScholarGoogle ScholarCross RefCross Ref
  11. Chatzoglou, P. D., & Vraimaki, E. 2009. Knowledge‐sharing behaviour of bank employees in Greece. Business Process Management Journal, 15(2), 245-266Google ScholarGoogle ScholarCross RefCross Ref
  12. Chellappa, R. K., & Pavlou, P. A. 2002. Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358-368Google ScholarGoogle ScholarCross RefCross Ref
  13. Chennamaneni, A., Teng, J. T., & Raja, M. K. 2012. A unified model of knowledge sharing behaviours: theoretical development and empirical test. Behaviour & Information Technology, 31(11), 1097-1115.Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Chiu, C.M., Chang, C.C., Cheng, H.L., and Fang, Y.H. 2009. Determinants of customer repurchase intention in online shopping. Online Information Review, 33(4), 761-784.Google ScholarGoogle ScholarCross RefCross Ref
  15. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. 1989. User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 982-1003Google ScholarGoogle ScholarCross RefCross Ref
  16. Fatimah, M.A., Kusairi, M.N. and Mohd, F.A. 2000. E‐commerce adoption in Malaysia: problems and barriers from the firms' perspective. Proceedings of International Conference on Electronic Commerce, November 21‐23, Kuala Lumpur.Google ScholarGoogle Scholar
  17. Fishbein, M., & Ajzen, I. 1975. Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.Google ScholarGoogle Scholar
  18. Flavián, C., Guinalíu, M., & Gurrea, R. 2006. The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & management, 43(1), 1-14.Google ScholarGoogle Scholar
  19. Friedman, B., Kahn, P., H., Jr & Howe, D. C. 2000. Trust online, Communications of the ACM, 43(12), 34‐40.Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Garcia-Swartz, Daniel D. and Hahn, Robert W. & Layne-Farrar, Anne. 2004. The Move Toward a Cashless Society: A Closer Look at Payment Instrument. Economics AEI-Brookings Joint Center Working Paper, 5(2), 175-198. http://dx.doi.org/10.2139/ssrn.641441Google ScholarGoogle ScholarCross RefCross Ref
  21. Gerrard, P., & Cunningham, J., B. (2003). The diffusion of internet banking among Singapore consumers. International journal of bank marketing, 21(1), 16-28.Google ScholarGoogle ScholarCross RefCross Ref
  22. Giannakouris, K. 2008. Ageing characterises the demographic perspectives of the European societies. Technical report, EUROSTAT. https://ec.europa.eu/eurostat/documents/3433488/5583040/KS-SF-08-072-EN.PDF/1c8f668a-d1d9-42cb-80b1-eaf3dfc1b7dfGoogle ScholarGoogle Scholar
  23. Godwin, J., U. 2001. Privacy and Security concerns as a major barrier for e-commerce: a survey study. Information Management & Computer Security, 9(4), 165-174.Google ScholarGoogle ScholarCross RefCross Ref
  24. Gupta, S., & Xu, H. 2010. Examining the relative influence of risk and control on intention to adopt risky technologies. Journal of Technology Management & Innovation, 5(4), 22-37.Google ScholarGoogle ScholarCross RefCross Ref
  25. Guriting, P. and Oly Ndubisi, N. 2006. Borneo online banking: evaluating customer perceptions and behavioural intention, Management Research News, 29(1/2), 6-15. https://doi.org/10.1108/01409170610645402Google ScholarGoogle ScholarCross RefCross Ref
  26. Hair, J. F. 2010. Multivariate data analysis: A global perspective. Upper Saddle River, N.J: Pearson Education.Google ScholarGoogle Scholar
  27. Han, L., and Jin, Y. 2009. A Review of Technology Acceptance Model in the E-commerce Environment. 2009 International Conference on Management of e-Commerce and e-Government, 28-31.Google ScholarGoogle Scholar
  28. Hoffman, D., L., Novak, T., P., and Peralta, M. 1999. Building consumer trust online. Communications of the ACM, 42(4), 80‐85.Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Jonker, N. 2018. What Drives Bitcoin Adoption by Retailers. De Nederlandsche Bank Working Paper No. 585Google ScholarGoogle Scholar
  30. Kalakota, R., & Whinston, A. B. 1997. Electronic commerce: a manager's guide. Addison-Wesley Professional.Google ScholarGoogle Scholar
  31. Kaur, K., & Pathak, A. 2015. E-Payment System on E-Commerce in India. Karamjeet Kaur International Journal of Engineering Research and Applications, 5(2), 79-87Google ScholarGoogle Scholar
  32. Kim, C., Tao, W., Shin, N., & Kim, K. S. 2010. An empirical study of customers' perceptions of security and trust in e-payment systems. Electronic commerce research and applications, 9(1), 84-95.Google ScholarGoogle Scholar
  33. Kim, D. Y., Park, J., & Morrison, A. M. 2008. A model of traveller acceptance of mobile technology. International Journal of Tourism Research, 10(5), 393-407.Google ScholarGoogle ScholarCross RefCross Ref
  34. Kousaridas, A., Parissis, G. and Apostolopoulos, T. 2008. An open financial services architecture based on the use of intelligent mobile devices. Electronic Commerce Research and Applications, 7(2), 232‐246.Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Krejcie, R. V., & Morgan, D. W. 1970. Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308Google ScholarGoogle ScholarCross RefCross Ref
  36. Lee, M.C. 2009. Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141.Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Legris, P., Ingham, J., & Collerette, P. 2003. Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204.Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Linck, K., Pousttchi, K. and Wiedemann, D.G. 2006. Security issues in mobile payment from the customer viewpoint. Proceedings of the 14th European Conference on Information Systems (ECIS 2006), Goteborg, 1‐11.Google ScholarGoogle Scholar
  39. Liu, C., and Forsythe, S. 2011. Examining drivers of online purchase intensity: Moderating role of adoption duration in sustaining post-adoption online shopping. Journal of Retailing and Consumer Services, 18(1), 101-109.Google ScholarGoogle ScholarCross RefCross Ref
  40. Luarn, P., & Lin, H. H. 2005. Toward an understanding of the behavioral intention to use mobile banking. Computers in human behavior, 21(6), 873-891.Google ScholarGoogle Scholar
  41. MacKenzie, S. B., Lutz, R. J., & Belch, G. E. 1986. The role of attitude toward the ad as a mediator of advertising effectiveness: A test of competing explanations. Journal of marketing research, 23(2), 130-143.Google ScholarGoogle ScholarCross RefCross Ref
  42. Maneesriwongul, W. and Dixon, J. K. 2004. Instrument translation process: a methods review. Journal of advanced nursing, 48(2): 175–186, DOI: https://doi.org/10.1111/j.1365-2648.2004.03185.xGoogle ScholarGoogle ScholarCross RefCross Ref
  43. Md Johar, M.G. and Ahmad Awalluddin, J.A. 2011. The role of technology acceptance model in explaining effect on e‐commerce application system. International Journal of Managing Information Technology, 3(3), 1‐14.Google ScholarGoogle ScholarCross RefCross Ref
  44. Mitchell, A. A., & Olson, J. C. 1981. Are product attribute beliefs the only mediator of advertising effects on brand attitude?. Journal of marketing research, 18(3), 318-332.Google ScholarGoogle ScholarCross RefCross Ref
  45. Mollenkopf, H., Meyer, S., Schulze, E., Wurm, S., and Friesdorf, W. 2000. Technology in the home for supporting independent living with aging. Journal for Gerontology and Geriatrics, 33(3):155–168.Google ScholarGoogle Scholar
  46. Müller-Seitz, G., Dautzenberg, K., Creusen, U., & Stromereder, C. 2009. Customer acceptance of RFID technology: Evidence from the German electronic retail sector. Journal of retailing and consumer services, 16(1), 31-39.Google ScholarGoogle ScholarCross RefCross Ref
  47. Nikandish, A., Kheleva, I., Chan, B. Y., & Poon, W. C. 2020. A Proposed Model of Electronic Mail Communication: Content Marketing Channel among Generation Y. TEST Engineering and Management, 82 (January-February), 637–652.Google ScholarGoogle Scholar
  48. Nunnally, J. C. 1978. Psychometric theory (2nd ed.). New York: McGraw-Hill.Google ScholarGoogle Scholar
  49. Oluyemisi A., G. 2012. Effect of Globalisation on Performance in the Nigerian Banking Industry. International Journal of Management and Marketing Research, 5(1), 79-94Google ScholarGoogle Scholar
  50. Paynter, J., & Lim, J. 2001. Drivers and impediments to e-commerce in Malaysia. Malaysian Journal of Library & Information Science, 6(2), 1-19.Google ScholarGoogle Scholar
  51. PR Newswire. 2019. China aged care market report, 2019-2025 - medical-nursing combined care is the main development direction. https://www.prnewswire.com/news-releases/china-aged-care-market-report-2019-2025—medical-nursing-combined-care-is-the-main-development-direction-300865514.htmlGoogle ScholarGoogle Scholar
  52. Poon, W. C., & Mohamad, O. 2020a. Organisational context and behavioural complexity affecting ambidextrous behaviours among SMEs. International Journal of Organization Theory & Behavior, 23(3), 225–244. https://doi.org/10.1108/IJOTB-03-2019-0037Google ScholarGoogle ScholarCross RefCross Ref
  53. Poon, W. C., & Mohamad, O. 2020b. The impact of emotional intelligence on ambidextrous behaviours in small and medium enterprises in Malaysia. International Journal of Society Systems Science, 12(1), 36–50.Google ScholarGoogle ScholarCross RefCross Ref
  54. Poon, W. C., Mohamad, O., & Yusoff, W. F. W. 2018. Examining the Antecedents of Ambidextrous Behaviours in Promoting Creativity among SMEs in Malaysia. Global Business Review, 21(3), 645–662. https://doi.org/10.1177/0972150918779267Google ScholarGoogle ScholarCross RefCross Ref
  55. Prananda, N. I., Chan, B. Y., Lim, L. C., & Poon, W. C. 2020. Go-Jek Company: Go-Jek's Rise to Dominating Indonesian's Markets and Southeast Asean. TEST Engineering and Management, 82, 735–743.Google ScholarGoogle Scholar
  56. Rogoff, Kenneth. 2014. How to prevent the next financial crisis: A review of Martin Wolf's "The Shifts and the Shocks". Prospect Magazine, August 20Google ScholarGoogle Scholar
  57. San Martin Gutierrez, S., Camarero Izquierdo, C. and San José Cabezudo, R. 2010. Product and channel-related risk and involvement in online contexts. Electronic Commerce Research and Applications, 9(3), 263-273.Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. Schreder G., Smuc M., Siebenhandl K., Mayr E. 2013. Age and Computer Self-Efficacy in the Use of Digital Technologies: An Investigation of Prototypes for Public Self-Service Terminals. In: Stephanidis C., Antona M. (eds) Universal Access in Human-Computer Interaction. User and Context Diversity. UAHCI 2013. Lecture Notes in Computer Science, vol 8010. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39191-0_25Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Selwyn, N., Gorard, S., Furlong, J., and Madden, L. 2003. Older Adults' Use of Information and Communications Technology in Everyday Life. Ageing and Society, 23(5), 561–582Google ScholarGoogle ScholarCross RefCross Ref
  60. Shen, W. 2019. Growing number of elderly web users are reshaping China's online economy. Global Times. https://www.globaltimes.cn/content/1139511.shtmlGoogle ScholarGoogle Scholar
  61. Shin, D. H. 2009. Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behaviour, 25(6), 1343-1354.Google ScholarGoogle ScholarDigital LibraryDigital Library
  62. Smithin, J. 2000. What is Money? 1st ed. London: RoutledgeGoogle ScholarGoogle Scholar
  63. Tanakinjal, G. H., Deans, K. R., and Gray, B. J. 2010. Third Screen Communication and the Adoption of Mobile Marketing: A Malaysia Perspective. International Journal of Marketing Studies, 2(1), 36-47.Google ScholarGoogle Scholar
  64. Tang, F. 2020. Ageing population presents 'huge challenges' to China's social development. Retrieved December 03, 2020, from https://www.scmp.com/economy/china-economy/article/3112270/chinas-ageing-population-how-gravity-greying-will-affectGoogle ScholarGoogle Scholar
  65. Taylor, D. G., & Strutton, D. 2010. Has e-marketing come of age? Modeling historical influences on post-adoption era Internet consumer behaviors. Journal of Business Research, 63(9-10), 950-956.Google ScholarGoogle ScholarCross RefCross Ref
  66. Teoh, W. M. Y., Chong, S. C., Lin, B., & Chua, J. W. 2013. Factors affecting consumers' perception of electronic payment: an empirical analysis. Internet Research. 23(4), 465-485Google ScholarGoogle ScholarCross RefCross Ref
  67. Venkatesh, V., & Davis, F. D. 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.Google ScholarGoogle Scholar
  68. Wang, W. T. and Li, H. M. 2011. Factors influencing mobile services adoption: a brand‐equity perspective, Internet Research, 22(2), 142‐179.Google ScholarGoogle ScholarCross RefCross Ref
  69. Yoon, C. 2010. Antecedents of customer satisfaction with online banking in China: The effects of experience. Computers in Human Behaviour, 26(6), 1296-1304.Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

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    ICEME '21: Proceedings of the 2021 12th International Conference on E-business, Management and Economics
    July 2021
    882 pages
    ISBN:9781450390064
    DOI:10.1145/3481127

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