Research Note—An Exploration of Risk Characteristics of Information Security Threats and Related Public Information Search Behavior
Jingguo Wang (),
Nan Xiao () and
H. Raghav Rao ()
Additional contact information
Jingguo Wang: Information Systems and Operations Management, College of Business, University of Texas at Arlington, Arlington, Texas 76019
Nan Xiao: Department of Information Systems, University of Texas Rio Grande Valley, Edinburg, Texas 78539
H. Raghav Rao: Management Science and Systems, School of Management, State University of New York at Buffalo, Buffalo, New York 14260
Information Systems Research, 2015, vol. 26, issue 3, 619-633
Abstract:
Information security (IS) threats are increasingly pervasive, and search engines are being used by the public as the primary tool for searching for relevant information. This research investigates the following two questions: (1) How can different IS threats be characterized and distinguished in terms of their risk characteristics? and (2) how are risk characteristics related to public searches for information on IS threats? Applying psychometric analysis, our analyses of survey data first show that unknown risk and dread risk are two underlying dimensions that can characterize different IS threats. Drawing broadly on the literature of information foraging theory, we examine the influence of risk characteristics on public searches for information on these threats. We utilize a search engine log to extract searches related to IS threats. We develop and estimate a system of equations with correlated individual-specific error terms using the Markov Chain Monte Carlo method. We find that the two risk characteristics exert differential impacts on information search behavior (including types of information sought, number of pages viewed, and length of query). The implications for IS research and practice are discussed.
Keywords: information-seeking behavior; information security threats; risk characteristics; psychometric analysis; Markov Chain Monte Carlo (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://dx.doi.org/10.1287/isre.2015.0581 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:26:y:2015:i:3:p:619-633
Access Statistics for this article
More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().