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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Ethical decision-making in IT governance: A review of models and frameworks

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  • Ethical decision-making in IT governance: A review of models and frameworks

Oluwatoyin Ajoke Farayola 1, * and Oluwabukunmi Latifat Olorunfemi 2

1 Financial Technology and Analytics Department, Naveen Jindal School Management, Dallas Texas, USA.
2 Independent Researcher, Chester, United Kingdom.

Review Article
 
International Journal of Science and Research Archive, 2024, 11(02), 130–138.
Article DOI: 10.30574/ijsra.2024.11.2.0373
DOI url: https://doi.org/10.30574/ijsra.2024.11.2.0373

Received on 22 January 2024; revised on 29 February 2024; accepted on 02 March 2024

Ethical decision-making within the realm of Information Technology (IT) governance is of paramount importance due to its far-reaching implications on organizational integrity, stakeholder trust, and societal welfare. This review presents a comprehensive review of various models and frameworks aimed at guiding ethical decision-making processes within IT governance contexts. The review begins by elucidating the fundamental principles underlying ethical decision-making, emphasizing the significance of moral reasoning, accountability, and transparency in IT governance. It then proceeds to examine prominent models and frameworks, categorizing them based on their theoretical foundations, applicability, and intended outcomes. Firstly, traditional normative ethical theories such as utilitarianism, deontology, and virtue ethics are discussed in the context of their application to IT governance dilemmas. These theories provide overarching ethical frameworks within which IT decision-makers can evaluate actions and policies. Secondly, the review delves into contemporary approaches specifically tailored for IT governance, including the Ethical Decision-Making Framework (EDMF), the Responsible Decision-Making Model (RDM), and the Ethical Governance Framework (EGF). These models offer systematic processes for identifying, analyzing, and resolving ethical dilemmas inherent in IT decision-making, considering factors such as privacy, security, intellectual property rights, and social responsibility. Furthermore, the review highlights the importance of integrating ethical considerations into existing IT governance frameworks, such as COBIT (Control Objectives for Information and Related Technologies) and ITIL (Information Technology Infrastructure Library), to ensure comprehensive governance practices. Lastly, the review examines emerging trends in ethical decision-making within IT governance, including the utilization of artificial intelligence and machine learning algorithms for ethical decision support, the incorporation of ethical design principles in software development processes, and the role of organizational culture in fostering ethical behavior among IT professionals. This review underscores the critical need for robust models and frameworks to guide ethical decision-making in IT governance, providing a foundation for organizations to navigate complex ethical dilemmas while upholding principles of integrity, accountability, and societal welfare.

Ethical; Decision-Making; IT; Governance; Models; Framework; Review

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-0373.pdf

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Oluwatoyin Ajoke Farayola and Oluwabukunmi Latifat Olorunfemi. Ethical decision-making in IT governance: A review of models and frameworks. International Journal of Science and Research Archive, 2024, 11(02), 130–138. Article DOI: https://doi.org/10.30574/ijsra.2024.11.2.0373

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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