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An Innovation Adoption Study of Online E-Payment in Chinese Companies

Author

Listed:
  • Qile He

    (Middlesex University Business School, UK)

  • Yanqing Duan

    (Luton University Business School, UK)

  • Zetian Fu

    (China Agriculture University, China)

  • Daoliang Li

    (China Agriculture University, China)

Abstract

Adoption of IT innovations is attracting increasing attention. Researchers are particularly interested in factors that affect the adoption of IS and IT innovations. Innovation diffusion theory is used frequently to evaluate the effect of perceived innovation attributes and the adoption of innovations. Nevertheless, explanatory power of perceived innovation attributes varies across different innovations. Given the importance of online e-payment to the further development of e-commerce and its importance as a payment innovation, this research examines the adoption of online e-payment by business enterprises using Rogers’ relational model of perceived innovation attributes and rate of adoption. The findings indicate that only perceived compatibility has significant influence on online e-payment adoption of Chinese companies. It is hoped that this research can help other researchers with related statistical procedures and analytical steps in their study of IS/IT adoption using innovation diffusion theory.

Suggested Citation

  • Qile He & Yanqing Duan & Zetian Fu & Daoliang Li, 2006. "An Innovation Adoption Study of Online E-Payment in Chinese Companies," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 4(1), pages 48-69, January.
    • Handle: RePEc:igg:jeco00:v:4:y:2006:i:1:p:48-69
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    Cited by:

    1. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    2. Efosa Carroll Idemudia & Mahesh S. Raisinghani & Olusola Samuel-Ojo, 0. "The contributing factors of continuance usage of social media: An empirical analysis," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    3. Mazhar Abbas & Muhammad Shahid Nawaz & Jamil Ahmad & Muhammad Ashraf, 2017. "The effect of innovation and consumer related factors on consumer resistance to innovation," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1312058-131, January.
    4. Wan Rung Lin & Chun-Yueh Lin & Yu-Heng Ding, 2020. "Factors Affecting the Behavioral Intention to Adopt Mobile Payment: An Empirical Study in Taiwan," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    5. Mostafa, Mohamed M. & El-Masry, Ahmed A., 2013. "Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques," International Journal of Information Management, Elsevier, vol. 33(4), pages 627-641.
    6. Dani Ramdani Harun & Sony Heru Priyanto & Lieli Suharti, 2021. "Transformation of Information Technology to Improve Human Resources of Farmers in the Indonesian Context: The Role of Farmer Cards," Technium Social Sciences Journal, Technium Science, vol. 25(1), pages 476-495, November.
    7. Wu, Jia-Jhou & Chang, Sue-Ting, 2020. "Exploring customer sentiment regarding online retail services: A topic-based approach," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    8. Gianluca Vagnani & Corrado Gatti & Luca Proietti, 2019. "A conceptual framework of the adoption of innovations in organizations: a meta-analytical review of the literature," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(4), pages 1023-1062, December.
    9. Efosa Carroll Idemudia & Mahesh S. Raisinghani & Olusola Samuel-Ojo, 2018. "The contributing factors of continuance usage of social media: An empirical analysis," Information Systems Frontiers, Springer, vol. 20(6), pages 1267-1280, December.

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