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Information Processing of Genetically Modified Food Messages Under Different Motives: An Adaptation of the Multiple‐Motive Heuristic‐Systematic Model

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  • Jooyoung Kim
  • Hye‐Jin Paek

Abstract

Recent risk management research has noted the importance of understanding how the lay public processes and reacts to risk‐related information. Guided by the multiple‐motive heuristic‐systematic model, this study examines (1) how individuals process messages in the context of genetically modified foods to change their attitudes and (2) how the persuasion process varies across types of motives. In the three treatment conditions of accuracy, defense, and impression motives, the respondents changed their attitudes through either the heuristic or the systematic mode, depending on their motives. The accuracy‐motive group appeared to use the systematic processing mode, while the impression‐motive group seemed to employ the heuristic processing mode. The empirical findings highlight the importance of incorporating motives to improve our understanding of the process of attitude change in risk management and communication contexts.

Suggested Citation

  • Jooyoung Kim & Hye‐Jin Paek, 2009. "Information Processing of Genetically Modified Food Messages Under Different Motives: An Adaptation of the Multiple‐Motive Heuristic‐Systematic Model," Risk Analysis, John Wiley & Sons, vol. 29(12), pages 1793-1806, December.
    • Handle: RePEc:wly:riskan:v:29:y:2009:i:12:p:1793-1806
    DOI: 10.1111/j.1539-6924.2009.01324.x
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    References listed on IDEAS

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    1. Jiuchang Wei & Ming Zhao & Fei Wang & Peng Cheng & Dingtao Zhao, 2016. "An Empirical Study of the Volkswagen Crisis in China: Customers’ Information Processing and Behavioral Intentions," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 114-129, January.
    2. Chris M. R. Smerecnik & Ilse Mesters & Math J. J. M. Candel & Hein De Vries & Nanne K. De Vries, 2012. "Risk Perception and Information Processing: The Development and Validation of a Questionnaire to Assess Self‐Reported Information Processing," Risk Analysis, John Wiley & Sons, vol. 32(1), pages 54-66, January.

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