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Article: Insiders' protection of organizational information assets: Development of a systematics-based taxonomy and theory of diversity for protection-motivated behaviors

TitleInsiders' protection of organizational information assets: Development of a systematics-based taxonomy and theory of diversity for protection-motivated behaviors
Authors
KeywordsCluster analysis
Theory of diversity
Taxonomy
Systematics
Protection-motivated behaviors
Multidimensional scaling
Behavioral information security
Issue Date2013
Citation
MIS Quarterly: Management Information Systems, 2013, v. 37, n. 4, p. 1189-1210 How to Cite?
AbstractProtecting information from a variety of security threats is a daunting organizational activity. Organization managers must recognize the roles that organization insiders have in protecting information resources rather than solely relying upon technology to provide this protection. Unfortunately, compared to negative insider behaviors, the extant literature provides sparse coverage of beneficial insider activities. The few beneficial activities in the literature represent only a small portion of the diverse collection of insiders' protective actions. This research focuses on protection-motivated behaviors (PMBs), which are volitional behaviors enacted by organization insiders to protect (1) organizationally relevant information and (2) the computer-based information systems in which the information is stored, collected, disseminated, and/or manipulated from information security threats. Based on systematics, we propose a six-step methodology of qualitative and quantitative approaches to develop a taxonomy and theory of diversity for PMBs. These approaches integrate the classification techniques of multidimensional scaling (MDS), property fitting (ProFit), and cluster analyses. We leverage these techniques to identify and display how insiders collectively classify 67 unique PMBs and their homogeneous classes. Our taxonomy provides researchers and practitioners a comprehensive guide and common nomenclature for PMBs. Our methodology can be similarly used to create other theories of diversity.
Persistent Identifierhttp://hdl.handle.net/10722/233830
ISSN
2015 Impact Factor: 5.384
2015 SCImago Journal Rankings: 6.984

 

DC FieldValueLanguage
dc.contributor.authorPosey, Clay-
dc.contributor.authorRoberts, Tom L.-
dc.contributor.authorLowry, Paul Benjamin-
dc.contributor.authorBennett, Rebecca J.-
dc.contributor.authorCourtney, James F.-
dc.date.accessioned2016-09-27T07:21:45Z-
dc.date.available2016-09-27T07:21:45Z-
dc.date.issued2013-
dc.identifier.citationMIS Quarterly: Management Information Systems, 2013, v. 37, n. 4, p. 1189-1210-
dc.identifier.issn0276-7783-
dc.identifier.urihttp://hdl.handle.net/10722/233830-
dc.description.abstractProtecting information from a variety of security threats is a daunting organizational activity. Organization managers must recognize the roles that organization insiders have in protecting information resources rather than solely relying upon technology to provide this protection. Unfortunately, compared to negative insider behaviors, the extant literature provides sparse coverage of beneficial insider activities. The few beneficial activities in the literature represent only a small portion of the diverse collection of insiders' protective actions. This research focuses on protection-motivated behaviors (PMBs), which are volitional behaviors enacted by organization insiders to protect (1) organizationally relevant information and (2) the computer-based information systems in which the information is stored, collected, disseminated, and/or manipulated from information security threats. Based on systematics, we propose a six-step methodology of qualitative and quantitative approaches to develop a taxonomy and theory of diversity for PMBs. These approaches integrate the classification techniques of multidimensional scaling (MDS), property fitting (ProFit), and cluster analyses. We leverage these techniques to identify and display how insiders collectively classify 67 unique PMBs and their homogeneous classes. Our taxonomy provides researchers and practitioners a comprehensive guide and common nomenclature for PMBs. Our methodology can be similarly used to create other theories of diversity.-
dc.languageeng-
dc.relation.ispartofMIS Quarterly: Management Information Systems-
dc.subjectCluster analysis-
dc.subjectTheory of diversity-
dc.subjectTaxonomy-
dc.subjectSystematics-
dc.subjectProtection-motivated behaviors-
dc.subjectMultidimensional scaling-
dc.subjectBehavioral information security-
dc.titleInsiders' protection of organizational information assets: Development of a systematics-based taxonomy and theory of diversity for protection-motivated behaviors-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-84887697195-
dc.identifier.volume37-
dc.identifier.issue4-
dc.identifier.spage1189-
dc.identifier.epage1210-
dc.identifier.eissn2162-9730-

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