Research Article

Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model

Volume: 19 Number: 2 February 24, 2026
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Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model

Abstract

This study investigates strategic decision-making for integrating artificial intelligence–based predictive safety systems into occupational health and safety (OHS) management. The aim is to develop and apply a rigorous, transparent multi-criteria decision framework that helps organizations select among competing AI-driven safety solutions under uncertainty. The core research question is: Which AI-based predictive safety alternative offers the best balance of safety improvement, organizational feasibility, and strategic fit for OHS management? An integrated fuzzy MCDM approach combines Fuzzy Best–Worst Method (FBWM) to elicit criterion weights with MARCOS to prioritize alternatives evaluated by domain experts across technical performance, human factors, legal/regulatory fit, cost, and implementation readiness. The analysis highlights the dominant influence of safety impact and technological readiness on final rankings, while cost and legal compliance act as moderating considerations. Sensitivity tests across weighting schemes indicate stable priority orders without critical rank reversals, supporting managerial robustness. The findings provide actionable guidance for investment and OHS committees, demonstrate the practicality of a hybrid fuzzy model for high-risk settings, and clarify both the study’s aim and its central research question for future replications.

Keywords

References

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Details

Primary Language

English

Subjects

Policy and Administration (Other)

Journal Section

Research Article

Publication Date

February 24, 2026

Submission Date

July 16, 2025

Acceptance Date

February 5, 2026

Published in Issue

Year 2026 Volume: 19 Number: 2

APA
Elbir, U. (2026). Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model. Kent Akademisi, 19(2), 1-22. https://doi.org/10.35674/kent.1744339
AMA
1.Elbir U. Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model. Urban Academy. 2026;19(2):1-22. doi:10.35674/kent.1744339
Chicago
Elbir, Umut. 2026. “Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model”. Kent Akademisi 19 (2): 1-22. https://doi.org/10.35674/kent.1744339.
EndNote
Elbir U (February 1, 2026) Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model. Kent Akademisi 19 2 1–22.
IEEE
[1]U. Elbir, “Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model”, Urban Academy, vol. 19, no. 2, pp. 1–22, Feb. 2026, doi: 10.35674/kent.1744339.
ISNAD
Elbir, Umut. “Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model”. Kent Akademisi 19/2 (February 1, 2026): 1-22. https://doi.org/10.35674/kent.1744339.
JAMA
1.Elbir U. Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model. Urban Academy. 2026;19:1–22.
MLA
Elbir, Umut. “Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model”. Kent Akademisi, vol. 19, no. 2, Feb. 2026, pp. 1-22, doi:10.35674/kent.1744339.
Vancouver
1.Umut Elbir. Strategic Decision-Making for AI-Based Predictive Safety in OHS: A Fuzzy FBWM–MARCOS Model. Urban Academy. 2026 Feb. 1;19(2):1-22. doi:10.35674/kent.1744339

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