Title: Fuzzy cognitive mapping-driven knowledge management based on 24Model for major accident prevention: a case study of oil and gas industry

Authors: Wafa Boulagouas

Addresses: Institute of Health and Safety, Mostepha Ben Boulaid University – Batna2, Batna, Algeria

Abstract: The oil and gas industry is prone to major hazard accidents, often triggered by human error and systemic failures. This study introduces a novel approach to major accident prevention through the development of a fuzzy cognitive mapping (FCM)-driven knowledge management (KM) framework based on the 24Model. The study aims to: 1) map critical accident causative factors using the 24Model; 2) develop and validate a KM framework integrating FCM for simulation-based analysis; 3) apply this framework to a real-world case in the oil and gas sector. The FCM-driven KM framework provides a systematic approach for identifying and analysing accident factors, offering decision-makers actionable insights to improve risk management, maintenance practices, and safety culture. Theoretically, this research extends existing models by integrating the 24Model with FCM. From a policy perspective, the study emphasises the importance of stricter regulations and enforcement to support a strong safety culture and reduce the likelihood of major accidents.

Keywords: accident prevention; knowledge management; KM; fuzzy cognitive mapping; FCM; 24Model; oil and gas industry.

DOI: 10.1504/IJKMS.2025.149498

International Journal of Knowledge Management Studies, 2025 Vol.16 No.3, pp.342 - 362

Accepted: 19 Jul 2025
Published online: 04 Nov 2025 *

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