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Turn it around in crisis communication: An ABM approach

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  • Zhai, Xueting
  • Zhong, Dixi
  • Luo, Qiuju

Abstract

Collective emotion recovery has been a challenge in destination crisis communication in social media environments. This exploratory study adopts agent-based modeling (ABM) to simulate collective emotion online sharing induced by tourism-related human-induced preventable crises, and its interplay with destination management organization (DMO) responses in a Chinese social media context. The results show that a tipping point of negative emotional outbursts exists. Public negative emotions could possibly be mitigated by positive and detailed responses before or at the time of the outburst. Otherwise, sustained and consistent responses are required for restoration. This study contributes to tourism crisis communication research by introducing a new method to reveal the evolution of secondary crisis communication from a complex system view and provide practical implications.

Suggested Citation

  • Zhai, Xueting & Zhong, Dixi & Luo, Qiuju, 2019. "Turn it around in crisis communication: An ABM approach," Annals of Tourism Research, Elsevier, vol. 79(C).
  • Handle: RePEc:eee:anture:v:79:y:2019:i:c:s0160738319301641
    DOI: 10.1016/j.annals.2019.102807
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    References listed on IDEAS

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    1. Luo, Qiuju & Zhai, Xueting, 2017. "“I will never go to Hong Kong again!” How the secondary crisis communication of “Occupy Central” on Weibo shifted to a tourism boycott," Tourism Management, Elsevier, vol. 62(C), pages 159-172.
    2. Breitsohl, Jan & Garrod, Brian, 2016. "Assessing tourists' cognitive, emotional and behavioural reactions to an unethical destination incident," Tourism Management, Elsevier, vol. 54(C), pages 209-220.
    3. Peter A Johnson & Renee E Sieber, 2011. "Negotiating Constraints to the Adoption of Agent-Based Modeling in Tourism Planning," Environment and Planning B, , vol. 38(2), pages 307-321, April.
    4. Ma, Mingcao & Weng, Jin & Yu, Larry, 2015. "Market size, scale economies, and tourism market structure: A case of historic water town tourism in China," Tourism Management, Elsevier, vol. 49(C), pages 119-137.
    5. Xiong, Xi & Li, Yuanyuan & Qiao, Shaojie & Han, Nan & Wu, Yue & Peng, Jing & Li, Binyong, 2018. "An emotional contagion model for heterogeneous social media with multiple behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 185-202.
    6. Peter A Johnson & Renee E Sieber, 2011. "An Agent-Based Approach to Providing Tourism Planning Support," Environment and Planning B, , vol. 38(3), pages 486-504, June.
    7. F. Schweitzer & D. Garcia, 2010. "An agent-based model of collective emotions in online communities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 77(4), pages 533-545, October.
    8. Gkritzali, Alkmini, 2017. "Online destination sentiment recovery during a sustained crisis," Annals of Tourism Research, Elsevier, vol. 66(C), pages 183-185.
    9. Nigel Gilbert & Pietro Terna, 2000. "How to build and use agent-based models in social science," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 57-72, March.
    10. Riccardo Boero & Flaminio Squazzoni, 2005. "Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-6.
    11. Mazhar Sajjad & Karandeep Singh & Euihyun Paik & Chang-Won Ahn, 2016. "A Data-Driven Approach for Agent-Based Modeling: Simulating the Dynamics of Family Formation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-9.
    12. Mi Rosie Jahng & Seoyeon Hong, 2017. "How Should You Tweet?: The Effect of Crisis Response Voices, Strategy, and Prior Brand Attitude in Social Media Crisis Communication," Corporate Reputation Review, Palgrave Macmillan, vol. 20(2), pages 147-157, May.
    13. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    14. Avraham, Eli, 2015. "Destination image repair during crisis: Attracting tourism during the Arab Spring uprisings," Tourism Management, Elsevier, vol. 47(C), pages 224-232.
    15. Nitika Garg & J. Jeffrey Inman & Vikas Mittal, 2005. "Incidental and Task-Related Affect: A Re-Inquiry and Extension of the Influence of Affect on Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(1), pages 154-159, June.
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    2. Wanshan Wu & Qingyi Su & Chunding Li & Cheng Yan & Giray Gozgor, 2020. "Urbanization, Disasters, and Tourism Development: Evidence from RCEP Countries," Sustainability, MDPI, vol. 12(3), pages 1-14, February.
    3. Jelena Tepavčević & Ivana Blešić & Marko D. Petrović & Svetlana Vukosav & Milan Bradić & Vuk Garača & Tamara Gajić & Dobrila Lukić, 2021. "Personality Traits That Affect Travel Intentions during Pandemic COVID-19: The Case Study of Serbia," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    4. Student, Jillian & Kramer, Mark R. & Steinmann, Patrick, 2020. "Simulating emerging coastal tourism vulnerabilities: an agent-based modelling approach," Annals of Tourism Research, Elsevier, vol. 85(C).
    5. Weina Liu & Chaonan Xu & Yajie Peng & Xinlong Xu, 2023. "Evolution of Tourism Risk Communication: A Bibliometric Analysis and Meta-Analysis of the Antecedents of Communicating Risk to Tourists," Sustainability, MDPI, vol. 15(12), pages 1-31, June.

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