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Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations

Rodgers, Waymond; Attah-Boakye, Rexford; Adams, Kweku

Authors

Kweku Adams



Abstract

Cybercrime continues to cause increasing threat to business processes, eroding stakeholders’ trust in Internet technologies. In this article, we explore how six dominant algorithmic trust positions facilitate cognitive processing, which, in turn, can influence an organization's productivity and align its values and support structures for combating cybercrimes. This conceptual paper uses a cognitive perspective described as a throughput model. This modeling perspective captures several dominant algorithmic trust positions for organizations, providing a new, and powerful approach which seeks to enhance our understanding of the cognitive representation of decision-making processes. These trust positions are rational-based trust, rule-based trust, category-based trust, third-party based trust, role-based trust, and knowledge-based trust. Finally, we provide conclusion and implications for future research.

Citation

Rodgers, W., Attah-Boakye, R., & Adams, K. (2020). Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations. IEEE Transactions on Engineering Management, https://doi.org/10.1109/TEM.2020.3019218

Journal Article Type Article
Acceptance Date Aug 30, 2020
Online Publication Date Sep 16, 2020
Publication Date 2020
Deposit Date Nov 5, 2020
Publicly Available Date Nov 19, 2020
Journal IEEE Transactions on Engineering Management
Print ISSN 0018-9391
Electronic ISSN 1558-0040
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/TEM.2020.3019218
Public URL https://hull-repository.worktribe.com/output/3621275

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