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Supply disruption management under consumer panic buying and social learning effects

  • Rui Zheng
  • , Biying Shou*
  • , Jun Yang
  • *Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    This study investigates the impact of consumers’ social learning (SL) behavior on their purchase decisions under supply disruption risk, and accordingly, how retailers should take this into account and optimize their inventory ordering strategy. We develop a model with two batches of consumers. The first batch of consumers evaluates the potential supply disruption risk and decides whether to stockpile extra units for future consumption (i.e., panic buying). Their purchase decisions influence the second batch of consumers via social learning. We derive the optimal inventory ordering policy for the retailer and evaluate the retailer's loss of profit if the impact of SL is not taken into consideration. We show that when the portion of panic buying consumers among the first batch (which we define as the initial panic intensity) is at a moderate level, consumer panic buying and SL behaviors can be beneficial for the retailer and the social welfare. In contrast, if the initial panic intensity is very low or very high, SL can hurt the retailer's profit and the total social welfare.
    Original languageEnglish
    Article number102238
    JournalOmega (United Kingdom)
    Volume101
    Online published5 Mar 2020
    DOIs
    Publication statusPublished - Jun 2021

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 1 - No Poverty
      SDG 1 No Poverty

    Research Keywords

    • Ordering policy
    • Panic buying
    • Social learning
    • Supply disruption

    RGC Funding Information

    • RGC-funded

    ESI Highly Cited Papers

    • Highly Cited Paper 2021
    • Highly Cited Paper 2024
    • Highly Cited Paper 2022
    • Highly Cited Paper 2023

    ESI Hot Papers

    • Hot Paper 2021

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    • GRF: Social Network Effects in Retail Supply Chain Management

      SHOU, B. (Principal Investigator / Project Coordinator) & PANG, Z. (Co-Investigator)

      1/09/1626/02/20

      Project: Research

    • TBRS: Safety, Reliability, and Disruption Management of High Speed Rail and Metro Systems

      XIE, M. (Principal Investigator / Project Coordinator), BENSOUSSAN, A. (Co-Principal Investigator), LO, S. M. (Co-Principal Investigator), SHOU, B. (Co-Principal Investigator), SINGPURWALLA, N. D. (Co-Principal Investigator), TSE, W. T. P. (Co-Principal Investigator), TSUI, K. L. (Co-Principal Investigator), YU, Y. (Co-Principal Investigator), YUEN, K. K. R. (Co-Principal Investigator), CHAN, A. B. (Co-Investigator), CHAN, N.-H. (Co-Investigator), CHIN, K. S. (Co-Investigator), CHOW, H. A. (Co-Investigator), Chow, W. K. (Co-Investigator), EDESESS, M. (Co-Investigator), GOLDSMAN, D. M. (Co-Investigator), Huang, J. (Co-Investigator), LEE, W. M. (Co-Investigator), LI, L. (Co-Investigator), LI, C. L. (Co-Investigator), LING, M. H. A. (Co-Investigator), LIU, S. (Co-Investigator), MURAKAMI, J. (Co-Investigator), NG, S. Y. S. (Co-Investigator), NI, M. C. (Co-Investigator), TAN, M.H.-Y. (Co-Investigator), Wang, W. (Co-Investigator), Wang, J. (Co-Investigator), WONG, C. K. (Co-Investigator), WONG, S. Y. Z. (Co-Investigator), WONG, S. C. (Co-Investigator), Xu, Z. (Co-Investigator), ZHANG, Z. (Co-Investigator), Zhang, D. (Co-Investigator), ZHAO, J. L. (Co-Investigator) & Zhou, Q. (Co-Investigator)

      1/01/1631/12/21

      Project: Research

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