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Factors influencing the adoption of the internet of things in supply chains

Author

Listed:
  • Bo Yan

    (South China University of Technology)

  • Zijie Jin

    (South China University of Technology)

  • Lifeng Liu

    (South China University of Technology)

  • Si Liu

    (South China University of Technology)

Abstract

This study investigates the application of the Internet of Things (IoT) in supply chains through evolutionary game theory. In the modeling process, the payoff matrices for the game between the core enterprises and the suppliers and the replicator dynamics equations for these two parties are constructed. The punishment mechanism is introduced to prevent the “free-ride” behavior of core enterprises. As the key technology of the IoT, the radio-frequency identification (RFID) implementation strategies of both parties are analyzed on the basis of the replicator dynamics. Both parties eventually achieve evolutionarily stable strategies by adopting the strategies of other participants. Furthermore, a sensitivity analysis is conducted to validate the effects of the parameters on the selection of RFID technology. Results show that the willingness of core enterprises and suppliers to implement RFID can be strengthened by adjusting relevant parameters. Thus, this study could contribute in generalizing the application of the IoT in supply chains.

Suggested Citation

  • Bo Yan & Zijie Jin & Lifeng Liu & Si Liu, 2018. "Factors influencing the adoption of the internet of things in supply chains," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 523-545, August.
    • Handle: RePEc:spr:joevec:v:28:y:2018:i:3:d:10.1007_s00191-017-0527-3
    DOI: 10.1007/s00191-017-0527-3
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    References listed on IDEAS

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    1. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
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    6. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, December.
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    Cited by:

    1. Zhao, Tian & Liu, Zhixin, 2019. "A novel analysis of carbon capture and storage (CCS) technology adoption: An evolutionary game model between stakeholders," Energy, Elsevier, vol. 189(C).

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    More about this item

    Keywords

    Internet of things; RFID; Supply chain; Game theory; Punishment mechanism;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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