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dc.contributor.authorSzekeres, Adam
dc.contributor.authorWasnik, Pankaj Shivdayal
dc.contributor.authorSnekkenes, Einar Arthur
dc.date.accessioned2019-08-19T07:52:46Z
dc.date.available2019-08-19T07:52:46Z
dc.date.created2019-05-29T10:33:25Z
dc.date.issued2019
dc.identifier.isbn978-989-758-372-8
dc.identifier.urihttp://hdl.handle.net/11250/2608896
dc.description.abstractAbstract: Human behavior plays a significant role within the domain of information security. The Conflicting Incentives Risk Analysis (CIRA) method focuses on stakeholder motivation to analyze risks resulting from the actions of key decision makers. In order to enhance the real-world applicability of the method, it is necessary to characterize relevant stakeholders by their motivational profile, without relying on direct psychological assessment methods. Thus, the main objective of this study was to assess the utility of demographic features-that are observable in any context-for deriving stakeholder motivational profiles. To this end, this study utilized the European Social Survey, which is a high-quality international database, and is comprised of representative samples from 23 European countries. The predictive performances of a pattern-matching algorithm and a machine-learning method are compared to establish the findings. Our results show that demographic features are marginally useful for (More)nb_NO
dc.language.isoengnb_NO
dc.publisherSciTePressnb_NO
dc.relation.ispartofProceedings of the 21st International Conference on Enterprise Information Systems - (Volume 2)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleUsing Demographic Features for the Prediction of Basic Human Values Underlying Stakeholder Motivationnb_NO
dc.typeChapternb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber377-389nb_NO
dc.identifier.doihttp://dx.doi.org/10.5220/0007694203770389
dc.identifier.cristin1701172
dc.description.localcodeCC BY-NC-ND 4.0nb_NO
cristin.unitcode194,63,30,0
cristin.unitnameInstitutt for informasjonssikkerhet og kommunikasjonsteknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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