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Understanding consumer reactions to product contamination risks after national disasters: The roles of knowledge, experience, and information sources

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  • Frank, Björn
  • Schvaneveldt, Shane J.

Abstract

This study shows that not all consumers intend to decrease purchases of potentially contaminated products after disasters; some rather intend to increase purchases. Purchase intent reductions derive from contamination risk knowledge, which depends on observed behavior of other consumers, objective media information, and past opposition to the technology causing contamination. Technology hazard expertise reinforces the effects of consumers' risk assessments and of past opposition to technology use. By contrast, purchase intent increases derive from empathy and salient social identity shared with disaster victims, which are triggered by affect-laden media exposure, past disaster-related experience, and disaster involvement of consumers' social networks.

Suggested Citation

  • Frank, Björn & Schvaneveldt, Shane J., 2016. "Understanding consumer reactions to product contamination risks after national disasters: The roles of knowledge, experience, and information sources," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 199-208.
    • Handle: RePEc:eee:joreco:v:28:y:2016:i:c:p:199-208
    DOI: 10.1016/j.jretconser.2015.08.005
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    Cited by:

    1. Boris Herbas Torrico & Björn Frank & Carlos Arandia Tavera, 2018. "Corporate social responsibility in Bolivia: meanings and consequences," International Journal of Corporate Social Responsibility, Springer, vol. 3(1), pages 1-13, December.
    2. Kum Fai Yuen & Xueqin Wang & Fei Ma & Kevin X. Li, 2020. "The Psychological Causes of Panic Buying Following a Health Crisis," IJERPH, MDPI, vol. 17(10), pages 1-14, May.
    3. Gupta, Shipra & Coskun, Merve, 2021. "The influence of human crowding and store messiness on consumer purchase intention– the role of contamination and scarcity perceptions," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    4. Ma, Xuan & Yu, Deqing & Wang, Ke, 2024. "Unraveling the intricacies of panic buying: An evolutionary game-theoretic exploration of the evolution and intervention," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    5. Chen, Tinggui & Jin, Yumei & Yang, Jianjun & Cong, Guodong, 2022. "Identifying emergence process of group panic buying behavior under the COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    6. Kuan-Ming Huang & Ana Claudia Sant’Anna & Xiaoli Etienne, 2021. "How did Covid-19 impact US household foods? an analysis six months in," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-17, September.
    7. Wei Sun & Alisher Tohirovich Dedahanov & Ho Young Shin & Wei Ping Li, 2021. "Using extended complexity theory to test SMEs’ adoption of Blockchain-based loan system," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-19, February.
    8. Naeem, Muhammad, 2021. "Do social media platforms develop consumer panic buying during the fear of Covid-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    9. Naderi, Iman & Paswan, Audhesh K. & Guzman, Francisco, 2018. "Beyond the shadow of a doubt: The effect of consumer knowledge on restaurant evaluation," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 221-229.

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