MAPPING ORGANIZATIONAL RISK COMPLEXITY: REVIEW OF CLASSIFICATION AND IDENTIFICATION STRATEGIES

Abstract

This study examines the complexity of organizational risks through the development of risk classification systems and risk identification strategies using a Systematic Literature Review (SLR) approach. A total of 50 peer-reviewed articles published between 2021 and 2026 were systematically analyzed based on the PRISMA guidelines. The review focuses on key themes related to organizational risk complexity, risk classification systems, risk taxonomy development, emerging risk identification, risk assessment approaches, and future research directions. The synthesis indicates that effective risk classification systems and identification strategies play an important role in helping organizations understand interconnected risks, improve risk analysis processes, and develop adaptive risk management approaches. However, the literature also identifies several challenges, including increasing risk complexity, rapidly changing business environments, limited capability in detecting emerging risks, and difficulties in developing dynamic risk classification frameworks. This study contributes to the literature by synthesizing prior research based on article characteristics, risk categories, risk classification systems, identification strategies, and key research findings.

Keyword : Organizational Risk Complexity, Risk Classification Systems, Risk Identification Strategies, Risk Taxonomy, Emerging Risk.