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When Bad Becomes Worse: Unethical Corporate Behavior May Hamper Consumer Acceptance of Cultured Meat

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  • Vincent A. Rabl

    (Department of Psychological and Behavioural Science, London School of Economics and Political Science, Houghton Street, London WC2A 2AE, UK)

  • Frédéric Basso

    (Department of Psychological and Behavioural Science, London School of Economics and Political Science, Houghton Street, London WC2A 2AE, UK)

Abstract

Cultured meat is an emerging food innovation that promises to be a more sustainable alternative to conventional meat. However, despite its potential health, environmental and animal welfare benefits, research suggests that consumer acceptance of cultured meat is not assured. Across two pre-registered experimental studies (N = 456), this article investigates the extent to which two different credence characteristics, namely corporate social responsibility (Study 1) and food safety (Study 2), lead to halo-based inferences that may affect the consumer acceptance of cultured meat. Results indicate that, whereas the halo effect of positive corporate behavior is negligible, negative corporate behavior yields a substantial negative halo effect on consumers’ attitudes towards cultured meat, which in turn decreases acceptance of cultured meat. Findings also reveal that these negative halo-based inferences are heightened among consumers who value highly corporate social responsibility (Study 1) and food safety (Study 2). Overall, this article reveals an asymmetric halo effect by showing that people tend to react strongly to negative, but not to positive, information about a cultured meat company. The implications of the present research are discussed in the conclusion.

Suggested Citation

  • Vincent A. Rabl & Frédéric Basso, 2021. "When Bad Becomes Worse: Unethical Corporate Behavior May Hamper Consumer Acceptance of Cultured Meat," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6770-:d:575388
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    References listed on IDEAS

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    1. Macdonald, Bobbie & Vivalt, Eva, 2017. "Effective strategies for overcoming the naturalistic heuristic: Experimental evidence on consumer acceptance of “clean” meat," OSF Preprints ndtr2, Center for Open Science.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    4. Roe, Brian & Teisl, Mario F., 2007. "Genetically modified food labeling: The impacts of message and messenger on consumer perceptions of labels and products," Food Policy, Elsevier, vol. 32(1), pages 49-66, February.
    5. Alexander Chernev & Sean Blair, 2015. "Doing Well by Doing Good: The Benevolent Halo of Corporate Social Responsibility," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(6), pages 1412-1425.
    6. Nathalie C M Rolland & C Rob Markus & Mark J Post, 2020. "The effect of information content on acceptance of cultured meat in a tasting context," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-17, April.
    7. Jihee Hwang & Jihye You & Junghoon Moon & Jaeseok Jeong, 2020. "Factors Affecting Consumers’ Alternative Meats Buying Intentions: Plant-Based Meat Alternative and Cultured Meat," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    8. Michael Siegrist & George Cvetkovich, 2001. "Better Negative than Positive? Evidence of a Bias for Negative Information about Possible Health Dangers," Risk Analysis, John Wiley & Sons, vol. 21(1), pages 199-206, February.
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    Cited by:

    1. Nick Lin-Hi & Marlene Reimer & Katharina Schäfer & Johanna Böttcher, 2023. "Consumer acceptance of cultured meat: an empirical analysis of the role of organizational factors," Journal of Business Economics, Springer, vol. 93(4), pages 707-746, May.

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