Volume 12, Issue 3 (Autumn 2025)
johe 2025, 12(3): 238-248 |
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Ethics code: IR.KAUMS.NUHEPM.REC.1404.013
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Akhavan F, Khajevandi A A, Rahmani H. Identification, Classification, and Prioritization of Factors Affecting Change Management in the Oil Industry Using Fuzzy Analytic Hierarchy Process (FAHP). johe 2025; 12 (3) :238-248
URL: http://johe.umsha.ac.ir/article-1-1000-en.html
URL: http://johe.umsha.ac.ir/article-1-1000-en.html
1- Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran.
2- Department of Health, Safety and Environment, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran. & Social Determinants of Health (SDH) Research Center, Kashan University of Medical Sciences, Kashan, Iran
3- Department of Environmental Health Engineering, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran & Social Determinants of Health (SDH) Research Center, Kashan University of Medical Sciences, Kashan, Iran ,HS.Rahmani@yahoo.com
2- Department of Health, Safety and Environment, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran. & Social Determinants of Health (SDH) Research Center, Kashan University of Medical Sciences, Kashan, Iran
3- Department of Environmental Health Engineering, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran & Social Determinants of Health (SDH) Research Center, Kashan University of Medical Sciences, Kashan, Iran ,
Abstract: (1193 Views)
Background and Objective: Management of change (MOC) in the oil industry is of particular importance due to the complexity of processes, safety hazards, and regulatory requirements. A precise understanding of the factors influencing the performance of the MOC system can help organizations reduce employee resistance, enhance the effectiveness of changes, and promote a strong safety culture. This study aimed to identify, classify, and prioritize the factors affecting change management in the oil industry using the Fuzzy Analytic Hierarchy Process (FAHP).
Materials and Methods: This qualitative study was conducted in Iran in 2025. To identify the factors influencing change management in the oil industry, a comprehensive review of scientific literature and semi-structured interviews with 12 individuals involved in MOC activities were performed. A two-round Delphi method was used to classify the identified variables, and FAHP was applied to determine their priorities. Pairwise comparison matrices were completed by 16 experts. All computations were performed using MATLAB software.
Results: A total of 68 factors influencing change management in the oil industry were identified and classified into seven categories, namely individual, organizational, managerial, training and empowerment, technical and operational, external, and socio-cultural factors. FAHP results indicated that managerial factors were the most important (relative weight = 0.178), while external and socio-cultural factors were the least important (relative weight = 0.121). Management commitment to safety (relative weight = 0.138) was the most influential managerial factor. Furthermore, accurate awareness of conditions and problems (relative weight = 0.082), feasibility (relative weight = 0.141), continuous training programs (relative weight = 0.213), reliability (relative weight = 0.118), compliance with standards and legal requirements (relative weight = 0.143), and organizational safety culture (relative weight = 0.298) were identified as the most important sub-factors in each category.
Conclusion: The findings demonstrated that the success of the MOC system in the oil industry largely depends on top management’s commitment to safety, while individual, organizational, and technical factors also play significant roles. In contrast, external and socio-cultural factors showed the lowest impact. Strengthening managerial competencies, enhancing training programs, and improving technical systems are essential for increasing organizational resilience.
Materials and Methods: This qualitative study was conducted in Iran in 2025. To identify the factors influencing change management in the oil industry, a comprehensive review of scientific literature and semi-structured interviews with 12 individuals involved in MOC activities were performed. A two-round Delphi method was used to classify the identified variables, and FAHP was applied to determine their priorities. Pairwise comparison matrices were completed by 16 experts. All computations were performed using MATLAB software.
Results: A total of 68 factors influencing change management in the oil industry were identified and classified into seven categories, namely individual, organizational, managerial, training and empowerment, technical and operational, external, and socio-cultural factors. FAHP results indicated that managerial factors were the most important (relative weight = 0.178), while external and socio-cultural factors were the least important (relative weight = 0.121). Management commitment to safety (relative weight = 0.138) was the most influential managerial factor. Furthermore, accurate awareness of conditions and problems (relative weight = 0.082), feasibility (relative weight = 0.141), continuous training programs (relative weight = 0.213), reliability (relative weight = 0.118), compliance with standards and legal requirements (relative weight = 0.143), and organizational safety culture (relative weight = 0.298) were identified as the most important sub-factors in each category.
Conclusion: The findings demonstrated that the success of the MOC system in the oil industry largely depends on top management’s commitment to safety, while individual, organizational, and technical factors also play significant roles. In contrast, external and socio-cultural factors showed the lowest impact. Strengthening managerial competencies, enhancing training programs, and improving technical systems are essential for increasing organizational resilience.
Keywords: Fuzzy analytic hierarchy process (FAHP), Management of change, Oil industry, Process safety
Type of Study: Research Article |
Subject:
Safety
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