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

Waymond Rodgers,Kweku Adams,Rexford Attah-Boakye

doi:10.1109/tem.2020.3019218

Waymond Rodgers, Kweku Adams + Show 1 more

Open Access

https://doi.org/10.1109/tem.2020.3019218

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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.

Highlights

NE of the major concerns for managers is the threat from cybercrime that influences trust systems in organizations [1], [2]
Found that by implementing a throughput modeling approach, it was possible to represent risky decision making as including perception (P), information (I), judgment (J), and decision choice (D)
We add to the literature by asserting that there are six dominant algorithmic pathways to a decision choice that allows for greater potential in terms of examining how risk attitudes are assessed in risky-choice framing problems

Summary

INTRODUCTION

NE of the major concerns for managers is the threat from cybercrime that influences trust systems in organizations [1], [2]. Found that by implementing a throughput modeling approach, it was possible to represent risky decision making as including perception (P), information (I), judgment (J), and decision choice (D). We add to the literature by asserting that there are six dominant algorithmic pathways to a decision choice that allows for greater potential in terms of examining how risk attitudes are assessed in risky-choice framing problems. Findings that cannot be accommodated by the explanation that preference reversals (i.e., framing effects) are mediated by concomitant reversals of risk attitudes This conceptual research paper embeds trust positions in the throughput model based on two types of process errors. Ro of RODGERS et al.: APPLICATION OF ALGORITHMIC COGNITIVE DECISION TRUST MODELING FOR CYBER SECURITY WITHIN ORGANIZATIONS which may be tested critically by observations and experiments. We conclude with a summary outlining implication for research and practice dealing with forensic and fraud organizational systems

DEFINITION OF TRUST

THROUGHPUT MODEL METHODOLOGY

CONCLUSION AND IMPLICATIONS