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Trustworthiness Attribution

Title: Trustworthiness Attribution: Inquiry into Insider Threat Detection.
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Name(s): Ho, Shuyuan Mary, author
Kaarst-Brown, Michelle, author
Benbasat, Izak, author
Type of Resource: text
Genre: Text
Journal Article
Date Issued: 2017-09-22
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Insider threat is a “wicked” contemporary organizational problem. It poses significant threats to organizational operations and information security. This paper reviews insider threat research and outlines key propositions to conceptualize the interpretation of dynamic human information behavior in an organizational setting, which represent an integration of trustworthiness and human sensors’ attribution in close relationships. These propositions posit that when a focal individual violates integrity-based trust, the group can collectively attribute a shift in trustworthiness, triggering a natural peer attribution process that assigns cause to observed behavior. Group communication can thus reflect subtle changes in a focal individual’s perceived trustworthiness. The ability to understand group-based computer-mediated communication patterns over time may become essential in safeguarding information assets and the “digital well-being” of today’s organizations. This paper contributes a novel theoretical lens to examine dynamic insights on insider threat detection.
Identifier: FSU_libsubv1_scholarship_submission_1521648889_a36573e1 (IID), 10.1002/asi.23938 (DOI)
Keywords: Trustworthiness attribution, Sociotechnical systems, Insider threat, Betrayal, Trusted human computer interaction, Information behavior, Computer-mediated deception
Publication Note: This article was publihsed in the Journal of the Association for Information Science and Technology. The publisher's version is available at https://doi.org/10.1002/asi.23938.
Preferred Citation: Ho, S. M., Kaarst-Brown, M., & Benbasat, I. (2018). Trustworthiness attribution: Inquiry into insider threat detection. Journal of the Association for Information Science and Technology, 69(2), 271-280. doi: 10.1002/asi.23938
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_libsubv1_scholarship_submission_1521648889_a36573e1
Owner Institution: FSU
Is Part Of: Journal of the Association for Information Science and Technology.
Issue: iss. 2, vol. 69

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Ho, S. M., Kaarst-Brown, M., & Benbasat, I. (2017). Trustworthiness Attribution: Inquiry into Insider Threat Detection. Journal Of The Association For Information Science And Technology. Retrieved from http://purl.flvc.org/fsu/fd/FSU_libsubv1_scholarship_submission_1521648889_a36573e1