Operational Risk in Information Technology: A Literature Review on Identification Mechanisms, Assessment, and Impact on Risk Management

Authors

  • Adelia Nafisah Balqis Mahasiswa Author
  • Salma Nabila Ramadhani Author
  • Alvianus Kristian Sumual Author

DOI:

https://doi.org/10.65310/8hq2hc60

Keywords:

Operational risk, information technology, risk identification, risk assessment, risk management.

Abstract

This study presents a systematic literature review on operational risk in information technology, focusing on mechanisms for identifying risks, approaches for assessing them, and their implications for broader risk management practices. The findings show that the identification of IT operational risks requires structured procedures that incorporate business process analysis, technology audits, anomaly detection, and evaluations of human factors to reveal potential vulnerabilities that may disrupt organizational operations. Frameworks such as ISO 31000 and COBIT are widely used to guide institutions in identifying, categorizing, and managing technology-related risks in a consistent and comprehensive manner. Emerging methods that utilize artificial intelligence, big data analytics, and predictive modeling have also contributed to improving the accuracy of risk detection in increasingly complex digital environments.The review further demonstrates that IT operational risks have substantial impacts on organizational resilience, financial performance, service continuity, and regulatory compliance. Technological failures can hinder decision-making processes, damage user trust, and weaken long-term institutional stability. Therefore, integrating IT operational risk management into enterprise-wide strategies is essential to ensure operational reliability and preparedness in the digital era.

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Published

2025-11-22

How to Cite

Operational Risk in Information Technology: A Literature Review on Identification Mechanisms, Assessment, and Impact on Risk Management. (2025). Journal of Economics, Management, and Accounting, 1(1), 67-77. https://doi.org/10.65310/8hq2hc60