IDEAS home Printed from https://ideas.repec.org/a/spr/infsem/v18y2020i4d10.1007_s10257-018-0384-0.html
   My bibliography  Save this article

RETRACTED ARTICLE: The construction and simulation of internet financial product diffusion model based on complex network and consumer decision-making mechanism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 "RETRACTED ARTICLE: The construction and simulation of internet financial product diffusion model based on complex network and consumer decision-making mechanism," Information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

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10257-018-0384-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10257-018-0384-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
    2. Christoph Safferling & Aaron Lowen, 2011. "Economics in the Kingdom of Loathing: Analysis of Virtual Market Data," Working Paper Series of the Department of Economics, University of Konstanz 2011-30, Department of Economics, University of Konstanz.
    3. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    4. Carlo Campajola & Marco D'Errico & Claudio J. Tessone, 2022. "MicroVelocity: rethinking the Velocity of Money for digital currencies," Papers 2201.13416, arXiv.org, revised May 2023.
    5. Obryan Poyser, 2017. "Exploring the determinants of Bitcoin's price: an application of Bayesian Structural Time Series," Papers 1706.01437, arXiv.org.
    6. Mohammad Soltani Delgosha & Tahereh Saheb & Nastaran Hajiheydari, 0. "Modelling the Asymmetrical Relationships between Digitalisation and Sustainable Competitiveness: A Cross-Country Configurational Analysis," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    7. Raed A.I. Abueed & Mehmet Aga, 2019. "Sustainable Knowledge Creation and Corporate Outcomes: Does Corporate Data Governance Matter?," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    8. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    9. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    10. Yang, Xiaoping & Cao, Dongmei & Andrikopoulos, Panagiotis & Yang, Zonghan & Bass, Tina, 2020. "Online social networks, media supervision and investment efficiency: An empirical examination of Chinese listed firms," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    11. Xuechao Sui & Xianhui Geng, 2021. "Continuous usage intention to e-transaction cards in wholesale markets of agriproducts: empirical evidence from China," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    12. Marija Jović & Edvard Tijan & Doroteja Vidmar & Andreja Pucihar, 2022. "Factors of Digital Transformation in the Maritime Transport Sector," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    13. Panagiotidis, Theodore & Stengos, Thanasis & Vravosinos, Orestis, 2019. "The effects of markets, uncertainty and search intensity on bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 220-242.
    14. Francis Aboagye‐Otchere & Cletus Agyenim‐Boateng & Abdulai Enusah & Theodora Ekua Aryee, 2021. "A Review of Big Data Research in Accounting," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 268-283, October.
    15. Al-Adwan, Ahmad Samed & Al-Debei, Mutaz M. & Dwivedi, Yogesh K., 2022. "E-commerce in high uncertainty avoidance cultures: The driving forces of repurchase and word-of-mouth intentions," Technology in Society, Elsevier, vol. 71(C).
    16. Damminda Alahakoon & Rashmika Nawaratne & Yan Xu & Daswin Silva & Uthayasankar Sivarajah & Bhumika Gupta, 2023. "Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities," Information Systems Frontiers, Springer, vol. 25(1), pages 221-240, February.
    17. Pavel Ciaian & Andrej Cupak & Pirmin Fessler & d’Artis Kancs, 2022. "Environmental and Social Preferences and Investments in Crypto-Assets," JRC Research Reports JRC129919, Joint Research Centre.
    18. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
    19. McLean, Graeme & Osei-Frimpong, Kofi & Al-Nabhani, Khalid & Marriott, Hannah, 2020. "Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective," Journal of Business Research, Elsevier, vol. 106(C), pages 139-157.
    20. Syed Far Abid Hossain & Zhao Xi & Mohammad Nurunnabi & Khalid Hussain, 2020. "Ubiquitous Role of Social Networking in Driving M-Commerce: Evaluating the Use of Mobile Phones for Online Shopping and Payment in the Context of Trust," SAGE Open, , vol. 10(3), pages 21582440209, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infsem:v:18:y:2020:i:4:d:10.1007_s10257-018-0384-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.