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The evolution of stakeholders' perceptions of disaster: A model of information flow

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  • Jiuchang Wei
  • Fei Wang
  • Michael K. Lindell

Abstract

type="main"> This paper proposes a diffusion model to measure the evolution of stakeholders' disaster perceptions by integrating a disaster message model, a stakeholder model, and a stakeholder memory model, which collectively describe the process of information flow. Simulation results show that the rate of forgetting has a significantly negative effect on stakeholders' perceptions and the incremental increase in the number of affected individuals has a positive effect on the maximum level of stakeholders' perceptions, but negative effect on the duration of stakeholders' perceptions. Additionally, a delay effect, a stagnation effect, and a cumulative effect exist in the evolution of stakeholders' perceptions. There is a spike at the beginning of the profile of stakeholders' perceptions in the Damped Exponential Model. An empirical test supports the validity of this model of stakeholders' disaster perceptions.

Suggested Citation

  • Jiuchang Wei & Fei Wang & Michael K. Lindell, 2016. "The evolution of stakeholders' perceptions of disaster: A model of information flow," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(2), pages 441-453, February.
    • Handle: RePEc:bla:jinfst:v:67:y:2016:i:2:p:441-453
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    File URL: http://hdl.handle.net/10.1002/asi.23386
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    Cited by:

    1. Wang, Fei & Yuan, Yu & Lu, Liangdong, 2021. "Dynamical prediction model of consumers’ purchase intentions regarding anti-smog products during smog risk: Taking the information flow perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    2. Zhe Ouyang & Chris Nengzhi Yao & Xi Hu, 2020. "Crisis spillover of corporate environmental misconducts: The roles of perceived similarity, familiarity, and corporate environmental responsibility in determining the impact on oppositional behavioral," Business Strategy and the Environment, Wiley Blackwell, vol. 29(4), pages 1797-1808, May.
    3. Devendra Potnis & Macy Halladay, 2022. "Information practices of administrators for controlling information in an online community of new mothers in rural America," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(11), pages 1621-1640, November.
    4. Natalie Pang & Stan Karanasios & Misita Anwar, 2020. "Exploring the Information Worlds of Older Persons During Disasters," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(6), pages 619-631, June.
    5. Tiezhong Liu & Huyuan Zhang & Hubo Zhang, 2020. "The Influence of Social Capital on Protective Action Perceptions Towards Hazardous Chemicals," IJERPH, MDPI, vol. 17(4), pages 1-12, February.
    6. Jiuchang Wei & Zhe Ouyang & Haipeng (Allan) Chen, 2017. "Well Known or Well Liked? The Effects of Corporate Reputation on Firm Value at the Onset of a Corporate Crisis," Strategic Management Journal, Wiley Blackwell, vol. 38(10), pages 2103-2120, October.
    7. Madelyn R. Sanfilippo & Yan Shvartzshnaider & Irwin Reyes & Helen Nissenbaum & Serge Egelman, 2020. "Disaster privacy/privacy disaster," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(9), pages 1002-1014, September.

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