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DOI: 10.14569/IJACSA.2019.0100601
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AHP-based Security Decision Making: How Intention and Intrinsic Motivation Affect Policy Compliance

Author 1: Ahmed Alzahrani
Author 2: Christopher Johnson

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 6, 2019.

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Abstract: Analytic hierarchy process is a multiple-criteria tool used in applications related to decision-making. In this paper, analytic hierarchy process is used as guidance in information security policy decision-making by identifying influencing factors and their weights for information security policy compliance. The weights for intrinsic motivators are identified based on self-determination theory as essential criteria, namely, autonomy, competence, relatedness, along with behavioural intention towards compliance; and use four awareness focus areas. A survey of cyber-security decision-makers at a Fortune 600 organisation provided data. The results suggest that behavioural intention (52% of the weight of influencing factors) is more important than autonomy (21%), competence (21%) or relatedness (6%) in influencing behaviour towards information security policy compliance. Determining weights of intrinsic motivation, intention, and awareness focus areas can help security decision-making and compliance with policy, and support design of effective security awareness programmes. However, these weights may in turn be affected by local organisational and cultural factors.

Keywords: Analytic Hierarchy Process; behavioural intention; autonomy; competence; relatedness; information security policy compliance

Ahmed Alzahrani and Christopher Johnson, “AHP-based Security Decision Making: How Intention and Intrinsic Motivation Affect Policy Compliance” International Journal of Advanced Computer Science and Applications(IJACSA), 10(6), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100601

@article{Alzahrani2019,
title = {AHP-based Security Decision Making: How Intention and Intrinsic Motivation Affect Policy Compliance},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100601},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100601},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {6},
author = {Ahmed Alzahrani and Christopher Johnson}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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