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“What is dear to you?” Survey of beliefs regarding protection of critical infrastructure against terrorism

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  • Olive Emil Wetter
  • Valentino Wüthrich

Abstract

Up to the present, there is only very little research on how the population perceives terrorism and its threats, even though support from the population is crucial for effective counterterrorism. By eliciting beliefs and subjecting them to content analyses, six factors were found that determine the protection worthiness of a target in the people's view: the potential damage to “people,” “symbolism,” “economy,” “politics,” “nature,” and “image/publicity.” These empirically found factors are in line with factors specified by terrorist target selection models. They differ in the strength of their cognitive representation among participants and, thus, their subjective importance to the people. The first three factors are shared among all participants, whereas the latter ones could only be found in a part of the participant sample. People's judgments of the targets' protection worthiness differ substantially from their judgments of the targets' attractiveness to terrorists, even though the same factors seem to be involved. This study offers an insight into the people's mental model about protection worthiness of targets. Together with classical risk analysis and knowledge about terrorists, these results can form a basis for setting up a holistic scheme for critical infrastructure protection.

Suggested Citation

  • Olive Emil Wetter & Valentino Wüthrich, 2015. "“What is dear to you?” Survey of beliefs regarding protection of critical infrastructure against terrorism," Defense & Security Analysis, Taylor & Francis Journals, vol. 31(3), pages 185-198, September.
  • Handle: RePEc:taf:cdanxx:v:31:y:2015:i:3:p:185-198
    DOI: 10.1080/14751798.2015.1056941
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    1. Xiaojun Shan & Jun Zhuang, 2013. "Cost of Equity in Homeland Security Resource Allocation in the Face of a Strategic Attacker," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1083-1099, June.
    2. Hausken, Kjell & Bier, Vicki M., 2011. "Defending against multiple different attackers," European Journal of Operational Research, Elsevier, vol. 211(2), pages 370-384, June.
    3. Olive Emil Wetter, 2014. "Terrorism research: should we focus on the opponent or on our own people?," Defense & Security Analysis, Taylor & Francis Journals, vol. 30(2), pages 92-105, June.
    4. Kjell Hausken, 2011. "Protecting complex infrastructures against multiple strategic attackers," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(1), pages 11-29.
    5. Vicki M. Bier & Naraphorn Haphuriwat & Jaime Menoyo & Rae Zimmerman & Alison M. Culpen, 2008. "Optimal Resource Allocation for Defense of Targets Based on Differing Measures of Attractiveness," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 763-770, June.
    6. Mark R. Joslyn & Donald P. Haider‐Markel, 2007. "Sociotropic Concerns and Support for Counterterrorism Policies," Social Science Quarterly, Southwestern Social Science Association, vol. 88(2), pages 306-319, June.
    7. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    8. Kolbe, Richard H & Burnett, Melissa S, 1991. "Content-Analysis Research: An Examination of Applications with Directives for Improving Research Reliability and Objectivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 243-250, September.
    9. Levitin, Gregory & Hausken, Kjell, 2013. "Is it wise to leave some false targets unprotected?," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 176-186.
    10. Lutz James M & Lutz Brenda J, 2006. "Terrorism as Economic Warfare," Global Economy Journal, De Gruyter, vol. 6(2), pages 1-22, May.
    11. Gregory L. Keeney & Detlof von Winterfeldt, 2010. "Identifying and Structuring the Objectives of Terrorists," Risk Analysis, John Wiley & Sons, vol. 30(12), pages 1803-1816, December.
    12. Hausken, Kjell, 2010. "Defense and attack of complex and dependent systems," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 29-42.
    13. Jun Zhuang & Vicki M. Bier, 2010. "Reasons for Secrecy and Deception in Homeland‐Security Resource Allocation," Risk Analysis, John Wiley & Sons, vol. 30(12), pages 1737-1743, December.
    14. Chen Wang & Vicki M. Bier, 2013. "Expert Elicitation of Adversary Preferences Using Ordinal Judgments," Operations Research, INFORMS, vol. 61(2), pages 372-385, April.
    15. Okon E. Eminue & Henry U. Ufomba, 2011. "Modeling Terrorist Target Selection: Organski's Power Transition Theory," Defense & Security Analysis, Taylor & Francis Journals, vol. 27(4), pages 375-382, December.
    16. Ralph L. Keeney & Detlof von Winterfeldt, 2011. "A Value Model for Evaluating Homeland Security Decisions," Risk Analysis, John Wiley & Sons, vol. 31(9), pages 1470-1487, September.
    17. Carlos Barros & Isabel Proença, 2005. "Mixed Logit Estimation Of Radical Islamic Terrorism In Europe And North America: A Comparative Study," Microeconomics 0508005, University Library of Munich, Germany.
    18. Enders, Walter & Sandler, Todd, 1993. "The Effectiveness of Antiterrorism Policies: A Vector-Autoregression-Intervention Analysis," American Political Science Review, Cambridge University Press, vol. 87(4), pages 829-844, December.
    19. Elke U. Weber & Christopher Hsee, 1998. "Cross-Cultural Differences in Risk Perception, but Cross-Cultural Similarities in Attitudes Towards Perceived Risk," Management Science, INFORMS, vol. 44(9), pages 1205-1217, September.
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