Journal of Enterprise and Business Intelligence

Advanced Framework for Integrating Risks into an Organizational Setting

Journal of Enterprise and Business Intelligence

Received On : 10 January 2023

Revised On : 18 July 2023

Accepted On : 12 August 2023

Published On : 05 January 2024

Volume 04, Issue 01

Pages : 042-050


Enterprise risk management (ERM) is a systematic approach that strategically assesses risk management from a holistic standpoint, including the whole company or enterprise. The aforementioned approach is a top-down strategic methodology designed to detect, evaluate, and proactively address possible risks, threats, hazards, and other sources of damage that have the potential to impede an organization's operations and goals, or result in negative outcomes. ERM is a prominent framework that assists businesses in the identification, evaluation, and management of hazards at the enterprise level. Scholars identified many elements that serve as motivators for enterprises to participate in the process of ERM. These reasons include the likelihood of encountering financial hardship and the subsequent expenses, subpar profits performance, potential development prospects, and the autonomy of the board. The implementation of an effective risk management plan might potentially serve as a competitive advantage for organizations, facilitating their growth. This elucidates the extensive corpus of research devoted to ERM. This paper examines the fundamental connections between Enterprise Architecture and Risk Management and presents a proposed architectural framework for effectively incorporating risk considerations within the broader organizational context. This article presents a proposed strategy for attaining a comprehensive and shared perspective on hazards throughout an organization.


Enterprise Risk Management, Risk Analysis, Enterprise Architecture, Environmental Assessment, Enterprise Architecture Implementation Methodology.

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Marina Yancey, “Advanced Framework for Integrating Risks into an Organizational Setting”, Journal of Enterprise and Business Intelligence, vol.4, no.1, pp. 042-050, January 2024. doi: 10.53759/5181/JEBI202404005.


© 2024 Marina Yancey. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.