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RETRACTED ARTICLE: The construction and simulation of internet financial product diffusion model based on complex network and consumer decision-making mechanism

Author

Listed:
  • JingMing Zhang

    (Donghua University)

  • ShuZhen Zhu

    (Donghua University)

  • Wei Yan

    (Donghua University)

  • ZhiPeng Li

    (Donghua University)

Abstract

Nowadays, Internet financial products, like Internet banking service and e-payment, have permeated into every corner of civil life in China. Via the Internet and media, consumers can obtain big data and information of financial products. Consumer big data analytics capabilities directly affect consumers’ cognition and thus affect their adoption of Internet financial products. Upon this background, this paper aims to study the diffusion of Internet financial products in a big data environment based on consumer analytics capabilities. First, in light of the consumer decision-making mechanism, we build a random threshold model for the diffusion of Internet financial products. Next, we explore the impact of consumer big data analysis capabilities on the diffusion of Internet financial products under different proportion of initial adopter and network densities in a specific social network topology. The simulation result shows that the consumer big data analytics capabilities have a significant impact on the speed and depth of the diffusion of Internet financial products. However, when proportion of initial adopter and network density reaches a certain value, the impact of consumer big data analysis ability on diffusion speed and depth has decreased. This study has a guiding significance for new strategies of Internet financial products promotion.

Suggested Citation

  • JingMing Zhang & ShuZhen Zhu & Wei Yan & ZhiPeng Li, 2020. "RETRACTED ARTICLE: The construction and simulation of internet financial product diffusion model based on complex network and consumer decision-making mechanism," Information Systems and e-Business Management, Springer, vol. 18(4), pages 545-555, December.
  • Handle: RePEc:spr:infsem:v:18:y:2020:i:4:d:10.1007_s10257-018-0384-0
    DOI: 10.1007/s10257-018-0384-0
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    References listed on IDEAS

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    1. Maryam Barkhordari & Zahra Nourollah & Hoda Mashayekhi & Yoosof Mashayekhi & Mohammad S. Ahangar, 2017. "Factors influencing adoption of e-payment systems: an empirical study on Iranian customers," Information Systems and e-Business Management, Springer, vol. 15(1), pages 89-116, February.
    2. Ilias O. Pappas & Patrick Mikalef & Michail N. Giannakos & John Krogstie & George Lekakos, 2018. "Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies," Information Systems and e-Business Management, Springer, vol. 16(3), pages 479-491, August.
    3. Prince, Jeffrey T. & Simon, Daniel H., 2009. "Has the Internet accelerated the diffusion of new products?," Research Policy, Elsevier, vol. 38(8), pages 1269-1277, October.
    4. Choudrie, Jyoti & Junior, Chike-Obuekwe & McKenna, Brad & Richter, Shahper, 2018. "Understanding and conceptualising the adoption, use and diffusion of mobile banking in older adults: A research agenda and conceptual framework," Journal of Business Research, Elsevier, vol. 88(C), pages 449-465.
    5. Sungsu Lim & Inwoo Jung & Seulki Lee & Kyomin Jung, 2015. "Analysis of information diffusion for threshold models on arbitrary networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(8), pages 1-14, August.
    6. Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016. "The digital agenda of virtual currencies: Can BitCoin become a global currency?," Information Systems and e-Business Management, Springer, vol. 14(4), pages 883-919, November.
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