IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v18y2015i7p840-859.html
   My bibliography  Save this article

Testing the heuristic/systematic information-processing model (HSM) on the perception of risk after the Fukushima nuclear accidents

Author

Listed:
  • Yeonjae Ryu
  • Seoyong Kim

Abstract

The accidents at the Fukushima nuclear stations provided a great deal of information about the risks from nuclear power accidents. It is generally assumed that when people interpret such information, they utilize specific modes of information processing to judge the risks. Our study tests the heuristic/systematic information-processing model (HSM) on people's perceptions of the Fukushima accidents. Because very few studies apply the HSM in a real-life context rather than in an experimental setting, our study will shed light on whether the HSM can explain this social phenomenon. To test the two modes of information processing in risk judgment, we collected social survey data ( n = 1200) through multiple-stage random quota sampling. The main topics for analysis were as follows: first, we examined how the antecedents - source, message, and receiver factors - influenced the choice of heuristic or systematic processing in the case of the Fukushima accident. Second, we analyzed the impact of the two modes of information processing on the perceived risks from the Fukushima accident. Third, we investigated the mediation of the two modes between the antecedents and the perceived risk.

Suggested Citation

  • Yeonjae Ryu & Seoyong Kim, 2015. "Testing the heuristic/systematic information-processing model (HSM) on the perception of risk after the Fukushima nuclear accidents," Journal of Risk Research, Taylor & Francis Journals, vol. 18(7), pages 840-859, August.
  • Handle: RePEc:taf:jriskr:v:18:y:2015:i:7:p:840-859
    DOI: 10.1080/13669877.2014.910694
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13669877.2014.910694
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13669877.2014.910694?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aliperti, Giuseppe & Cruz, Ana Maria, 2019. "Investigating tourists' risk information processing," Annals of Tourism Research, Elsevier, vol. 79(C).
    2. Hyehyun Hong & Hyo Jung Kim, 2020. "Antecedents and Consequences of Information Overload in the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(24), pages 1-15, December.
    3. Seoyong Kim & Sunhee Kim, 2017. "Impact of the Fukushima Nuclear Accident on Belief in Rumors: The Role of Risk Perception and Communication," Sustainability, MDPI, vol. 9(12), pages 1-21, November.
    4. Xia Wu & Wei Qi & Xi Hu & Shanshan Zhang & Dingtao Zhao, 2017. "Consumers’ purchase intentions toward products against city smog: exploring the influence of risk information processing," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(1), pages 611-632, August.
    5. Hu, Xiaoli & Zhu, Weiwei & Wei, Jiuchang, 2021. "Effects of information strategies on public acceptance of nuclear energy," Energy, Elsevier, vol. 231(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jriskr:v:18:y:2015:i:7:p:840-859. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.