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Risk Assessment and Management Tool Use, Implementation Quality and Perceived Effectiveness During Shutdown and Turnaround Maintenance: Evidence from a Nigerian Upstream Petroleum Operator

Authors

Kingsley Inyang Ekpo

University of Essex, Colchester, England (Nigeria)

Esang Lazarus Esitikot

Highstone Global University, Texas, USA (Nigeria)

Akaninyene Edet Ekong

Highstone Global University, Texas, USA (Nigeria)

Mfon Cyril Akpan

University of Port Harcourt (Nigeria)

Chinedu Leonard Ede

University of Port Harcourt (Nigeria)

Article Information

DOI: 10.51583/IJLTEMAS.2026.150800055

Subject Category: Management

Volume/Issue: 15/8 | Page No: 785-799

Publication Timeline

Submitted: 2026-08-26

Accepted: 2026-08-31

Published: 2026-09-10

Abstract

Risk assessment and management (RAM) tools are central to shutdown and turnaround maintenance (STAM), but frequent use does not necessarily demonstrate implementation quality or safety effectiveness. This cross-sectional study analysed respondent-level survey data from 148 STAM professionals in a Nigerian upstream petroleum organisation. Descriptive statistics, Spearman correlations, exploratory factor analysis (EFA), robust multiple regression and Mann-Whitney U incident-group comparisons were applied. JSA (M = 4.53) and toolbox talks (M = 4.35) were used more frequently than HAZOP (M = 2.30) and risk registers (M = 2.27). EFA showed only marginal sampling adequacy (KMO = .610; Bartlett's chi-square(10) = 54.70, p < .001) and a weak two-factor structure, confirming that C1-C5 should not be treated as a strongly unidimensional effectiveness scale. The regression model explained little variance in the composite score (R2 = .031; adjusted R2 = -.018; robust F = 0.62, p = .741), and no predictor was significant. Incident-experienced respondents reported modestly higher JSA use, incident-prevention perceptions and field-implementation perceptions, but the composite effectiveness difference was non-significant. The findings support a compliance-effectiveness paradox: high procedural activity can coexist with weak or inconsistent signals of substantive effectiveness. RAM assurance should therefore combine activity frequency with analytical quality, barrier health, control verification and action closure.

Keywords

Risk Assessment and Management; Shutdown and Turnaround Maintenance; Safety Performance; Spearman Correlation

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References

1. Lenahan, T. (2011). Turnaround, shutdown and outage management: Effective planning and step-by-step execution of planned maintenance operations. Butterworth-Heinemann. [Google Scholar] [Crossref]

2. Sahoo, C. (2013). Turnaround management and safety best practices in oil and gas facilities. Petroleum & Petrochemical Engineering Journal, 1(2), 11–21. [Google Scholar] [Crossref]

3. National Bureau of Statistics. (2023). Nigerian oil and gas export earnings report. https://www.nigerianstat.gov.ng/ [Google Scholar] [Crossref]

4. Nigerian Upstream Petroleum Regulatory Commission. (2023). Annual health, safety and environment report: Upstream petroleum operations. https://www.nuprc.gov.ng/ [Google Scholar] [Crossref]

5. Mannan, S. (Ed.). (2012). Lees' loss prevention in the process industries: Hazard identification, assessment and control (4th ed.). Butterworth-Heinemann. [Google Scholar] [Crossref]

6. Hollnagel, E. (2018). Safety-I and Safety-II: The past and future of safety management. CRC Press. [Google Scholar] [Crossref]

7. Ezeokoli, R. N., & Omoruyi, O. (2016). Assessment of safety management practices in Nigeria's oil and gas industry. International Journal of Engineering and Technology, 8(4), 231–248. [Google Scholar] [Crossref]

8. Ugwoke, C. K., Mgbeoji, C., & Adesanya, A. (2020). Contractor safety management in Nigerian petroleum projects. Safety and Health at Work, 11(3), 287–296. https://doi.org/10.1016/j.shaw.2020.06.004 [Google Scholar] [Crossref]

9. Ali, P. O., Wyse, M. E., Odeniyi, K. O., Oludele, O. E., Ejomafuvwe, E., John, A., & Faremi, O. B. (2022). Evaluation of safety management system effectiveness in a liquefied natural gas company. Open Journal of Safety Science and Technology, 12(2), 31–42. https://doi.org/10.4236/ojsst.2022.122003 [Google Scholar] [Crossref]

10. Dekker, S. (2014). Safety differently: Human factors for a new era. CRC Press. [Google Scholar] [Crossref]

11. Ehiaguina, L., & Moda, H. M. (2020). Barriers to the implementation of safety management systems in the Nigerian oil and gas industry. Safety, 6(2), Article 22. https://doi.org/10.3390/safety6020022 [Google Scholar] [Crossref]

12. Reason, J. (2000). Human error: Models and management. BMJ, 320(7237), 768–770. https://doi.org/10.1136/bmj.320.7237.768 [Google Scholar] [Crossref]

13. Reason, J. (1990). Human error. Cambridge University Press. [Google Scholar] [Crossref]

14. Leveson, N. (2004). A new accident model for engineering safer systems. Safety Science, 42(4), 237–270. https://doi.org/10.1016/S0925-7535(03)00047-X [Google Scholar] [Crossref]

15. Rasmussen, J. (1997). Risk management in a dynamic society: A modelling problem. Safety Science, 27(2–3), 183–213. https://doi.org/10.1016/S0925-7535(97)00052-0 [Google Scholar] [Crossref]

16. Mearns, K., Whitaker, S. M., & Flin, R. (2003). Safety climate, safety management practice and safety performance in offshore environments. Safety Science, 41(8), 641–680. https://doi.org/10.1016/S0925-7535(02)00011-5 [Google Scholar] [Crossref]

17. Clarke, S. (2010). An integrative model of safety climate: Linking psychological climate and work performance. Accident Analysis & Prevention, 42(5), 1455–1462. https://doi.org/10.1016/j.aap.2010.03.011 [Google Scholar] [Crossref]

18. Weick, K. E., & Sutcliffe, K. M. (2015). Managing the unexpected: Sustained performance in a complex world (3rd ed.). Wiley. [Google Scholar] [Crossref]

19. Khan, F., Rathnayaka, S., & Ahmed, S. (2022). Methods and models in process safety and risk management: Past, present and future. Process Safety and Environmental Protection, 165, 100–114. https://doi.org/10.1016/j.psep.2022.06.068 [Google Scholar] [Crossref]

20. Badida, P., Jayaprakash, J., & Rajagopalan, S. (2023). AI-assisted HAZOP: Machine learning approaches to automated process hazard analysis. Safety Science, 159, 105990. https://doi.org/10.1016/j.ssci.2022.105990 [Google Scholar] [Crossref]

21. Zohar, D. (1980). Safety climate in industrial organizations: Theoretical and applied implications. Journal of Applied Psychology, 65(1), 96–102. https://doi.org/10.1037/0021-9010.65.1.96 [Google Scholar] [Crossref]

22. Neal, A., Griffin, M. A., & Hart, P. M. (2000). The impact of organizational climate on safety climate and individual behavior. Journal of Occupational Health Psychology, 5(1), 99–109. https://doi.org/10.1037/1076-8998.5.1.99 [Google Scholar] [Crossref]

23. Griffin, M. A., & Neal, A. (2000). Perceptions of safety at work: A framework for linking safety climate to safety performance, knowledge, and motivation. Journal of Occupational Health Psychology, 5(3), 347–358. https://doi.org/10.1037/1076-8998.5.3.347 [Google Scholar] [Crossref]

24. Flin, R., Mearns, K., O’Connor, P., & Bryden, R. (2000). Measuring safety climate: Identifying the common features. Safety Science, 34(1–3), 177–192. https://doi.org/10.1016/S0925-7535(00)00012-6 [Google Scholar] [Crossref]

25. Guldenmund, F. W. (2000). The nature of safety culture: A review of theory and research. Safety Science, 34(1–3), 215–257. https://doi.org/10.1016/S0925-7535(00)00014-X [Google Scholar] [Crossref]

26. Hopkins, A. (2006). Studying organisational cultures and their effects on safety. Safety Science, 44(10), 875–889. https://doi.org/10.1016/j.ssci.2006.05.005 [Google Scholar] [Crossref]

27. OECD. (2008). Guidance on developing safety performance indicators related to chemical accident prevention, preparedness and response (2nd ed.). OECD. [Google Scholar] [Crossref]

28. Center for Chemical Process Safety. (2007). Guidelines for risk based process safety. Wiley-AIChE. [Google Scholar] [Crossref]

29. Hale, A. R., Guldenmund, F. W., van Loenhout, P. L. C. H., & Oh, J. I. H. (2010). Evaluating safety management and culture interventions to improve safety: Effective intervention strategies. Safety Science, 48(8), 1026–1035. https://doi.org/10.1016/j.ssci.2009.05.006 [Google Scholar] [Crossref]

30. Dekker, S., Cilliers, P., & Hofmeyr, J.-H. (2011). The complexity of failure: Implications of complexity theory for safety investigations. Safety Science, 49(6), 939–945. https://doi.org/10.1016/j.ssci.2011.01.008 [Google Scholar] [Crossref]

31. Woods, D. D. (2015). Four concepts for resilience and the implications for the future of resilience engineering. Reliability Engineering & System Safety, 141, 5–9. https://doi.org/10.1016/j.ress.2015.03.018 [Google Scholar] [Crossref]

32. Sutcliffe, K. M. (2011). High reliability organizations (HROs). Best Practice & Research: Clinical Anaesthesiology, 25(2), 133–144. https://doi.org/10.1016/j.bpa.2011.03.001 [Google Scholar] [Crossref]

33. Agwu, M. E. (2012). Issues of safety culture in the Nigerian oil and gas industry: A qualitative assessment. British Journal of Arts and Social Sciences, 6(2), 66–79. [Google Scholar] [Crossref]

34. Aluko, M. O., & Arewa, A. O. (2020). Human factors in oil and gas risk management: An assessment of behavioural safety in Nigeria. Journal of Safety Research, 72, 83–91. https://doi.org/10.1016/j.jsr.2019.12.003 [Google Scholar] [Crossref]

35. Niknezhad, M., Ghasemi, F., & Mohammadfam, I. (2025). Safety communication and incident prevention: A review. Process Safety and Environmental Protection, 186, 124–138. https://doi.org/10.1016/j.psep.2024.04.002 [Google Scholar] [Crossref]

36. AlNoaimi, F. A., & Mazzuchi, T. A. (2021). Risk management application in an oil and gas company for projects. International Journal of Business Ethics and Governance, 4(3), 1–30. https://doi.org/10.51325/ijbeg.v4i3.77 [Google Scholar] [Crossref]

37. Teo, E. A. L., & Ling, F. Y. Y. (2006). Developing a model to measure the effectiveness of safety management systems of construction sites. Building and Environment, 41(11), 1584–1592. https://doi.org/10.1016/j.buildenv.2005.07.002 [Google Scholar] [Crossref]

38. Robson, L. S., Clarke, J. A., Cullen, K., Bielecky, A., Severin, C., Bigelow, P. L., & Mahood, Q. (2007). The effectiveness of occupational health and safety management system interventions: A systematic review. Safety Science, 45(3), 329–353. https://doi.org/10.1016/j.ssci.2006.07.003 [Google Scholar] [Crossref]

39. Zara, I., Leka, S., & Jain, A. (2023). Communication and safety leadership in process industries. Safety Science, 160, 106022. https://doi.org/10.1016/j.ssci.2023.106022 [Google Scholar] [Crossref]

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