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Multi-Scenario Evolutionary Game of Rumor-Affected Enterprises under Demand Disruption

Author

Listed:
  • Chuan Zhao

    (School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China)

  • Luyao Li

    (School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China)

  • Hongxia Sun

    (School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China)

  • Hongji Yang

    (School of Informatics, University of Leicester, Leicester LE1 7RH, UK)

Abstract

Rumors regarding food, medicine, epidemic diseases, and public emergencies greatly impact consumers’ purchase intention, disrupt market demand, affect enterprises’ operating strategies, and eventually increase the risk of market chaos. Governments must play an active role with limited resources under the situation of rumor spreading and demand disruption to maintain stable and sustainable market development. To identify the optimal evolutionary stable strategy (ESS) of both small and large enterprises when facing rumors, this paper investigates the following two choices of enterprises: reasonable and unreasonable pricing. The results reveal that government supervision priority should be set based on the rumor severity, collusion in markup and the endogeneity of the enterprises. From an exogenous perspective, rumor spreading induces enterprises to overcharge, and government supervision has the opposite effect. However, the demand disruption ratio is proven to motivate enterprises to implement reasonable pricing. The profit and loss ratio and homoplasy are two endogenous factors affecting enterprise decisions. Small enterprises are more likely to take advantage of public panic and overcharge, while large enterprises are inclined to choose reasonable pricing in consideration of their corporate image. In addition, the evidence indicates that the ESS of large firms has a stronger impact on small firms.

Suggested Citation

  • Chuan Zhao & Luyao Li & Hongxia Sun & Hongji Yang, 2021. "Multi-Scenario Evolutionary Game of Rumor-Affected Enterprises under Demand Disruption," Sustainability, MDPI, vol. 13(1), pages 1-26, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:1:p:360-:d:474048
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    References listed on IDEAS

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