Computer-Suported Risk Identification for the Holistic Management of Risks

TL;DR

This paper proposes a computer-supported, holistic methodology for risk identification aimed at making risk analysis more consistent, objective, and repeatable across various business contexts.

Contribution

It introduces a novel systematic approach for risk identification that enhances consistency and objectivity in risk management processes.

Findings

Improved consistency in risk identification

Enhanced objectivity in risk analysis

Potential for more repeatable risk management practices

Abstract

Risk is part of the fabric of every business; surprisingly, there is little work on establishing best practices for systematic, repeatable risk identification, arguably the first step of any risk management process. In this paper, we present a proposal that constitutes a more holistic risk management approach, a methodology for computer-supported risk identification is proposed that may lead to more consistent (objective, repeatable) risk analysis.