Assessment of the perceived safety culture in the petrochemical industry in Japan: A cross-sectional study
Autoři:
Erman Çakıt aff001; Andrzej Jan Olak aff002; Atsuo Murata aff003; Waldemar Karwowski aff004; Omar Alrehaili aff005; Tadeusz Marek aff006
Působiště autorů:
Department of Industrial Engineering, Gazi University, Ankara, Turkey
aff001; The Bronisław Markiewicz State Higher School of Technology and Economics, Jarosław, Poland
aff002; Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan
aff003; Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, United States of America
aff004; Department of Industrial Engineering, Taibah University, Madinah, Saudi Arabia
aff005; Institute of Applied Psychology, Jagiellonian University, Krakow, Poland
aff006
Vyšlo v časopise:
PLoS ONE 14(12)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0226416
Souhrn
This study assessed the perceived safety culture among five petrochemical production companies in Japan. Current effects of the perceived safety culture on employee safety motivation and performance were also examined. A total of 883 workers from the five petrochemical companies, which were located in the Chugoku region of Japan, provided valid responses to the survey distributed by email. Structural equation modeling was used to evaluate the personnel safety culture in these industries. The endogenous variables considered in this study included petrochemical safety culture, personnel error behavior and personnel attitudes toward violation behaviors. Petrochemical personnel safety motivation was a mediating variable. This study’s findings highlight the importance of the perceived safety culture as a significant component of the organizational culture that influences employee behaviors and safety attitudes. This study further verifies the significant impact of the perceived safety culture in this industry sector on improving petrochemical personnel safety motivation and performance. Future research should explore the differences between the subcultures that have formed under larger safety cultures within similar high-risk industries, such as construction, aviation, manufacturing and mining.
Klíčová slova:
Behavior – Employment – Industrial organization – Japan – Motivation – Safety equipment – Surveys – Petrochemistry
Zdroje
1. Reason JT. Managing the risks of organizational accidents. London: Routledge Taylor & Francis Group; 2016.
2. Boughaba A, Hassane C, Roukia O. Safety Culture Assessment in Petrochemical Industry: A Comparative Study of Two Algerian Plants. Safety and Health at Work. 2014;5(2):60–65. doi: 10.1016/j.shaw.2014.03.005 25180135
3. Mearns K, Flin R. Assessing the state of organizational safety—culture or climate?. Current Psychology. 1999;18(1):5–17.
4. Cooper Ph.D. M. Towards a model of safety culture. Safety Science. 2000;36(2):111–136.
5. Goncalves Filho A, Waterson P. Maturity models and safety culture: A critical review. Safety Science. 2018;105:192–211.
6. Health and Safety Commission (HSC). Organizing for safety: Third report of the ACSNI (Advisory Committee on the Safety of Nuclear Installations) study group on human factors. Sudbury, England: HSE Books. 1993.
7. Pidgeon N. Safety culture: Key theoretical issues. Work & Stress. 1998;12(3):202–216.
8. Milijić N, Mihajlović I, Nikolić D, Živković Ž. Multicriteria analysis of safety climate measurements at workplaces in production industries in Serbia. International Journal of Industrial Ergonomics. 2014;44(4):510–519.
9. Chen Y, Liu K, Chang C. Practical application of safety climate: A case study in the Taiwanese steel industry. International Journal of Industrial Ergonomics. 2018;67:67–72.
10. Vecchio-Sadus A, Griffiths S. Marketing strategies for enhancing safety culture. Safety Science. 2004;42(7):601–619.
11. Seo D., Torabi M. R., Blair E. H., & Ellis N. T. (2004). A cross-validation of safety climate scale using confirmatory factor analytic approach. Journal of Safety Research, 35(4), 427 445. doi: 10.1016/j.jsr.2004.04.006 15474546
12. Hall, M. E. (2006). Measuring the safety climate of steel mini-mill workers using an instrument validated by structural equation modeling (Doctoral dissertation). Retrived from The University of Tennessee, Knoxville.
13. Molenaar K. R., Park J., & Washington S. (2009). Framework for measuring corporate safety culture and its impact on construction safety performance. Journal of Construction Engineering and Management, 135(6), 488–496.
14. Vinodkumar M., & Bhasi M. (2010). Safety management practices and safety behaviour: Assessing the mediating role of safety knowledge and motivation. Accident Analysis & Prevention, 42(6), 2082–2093.
15. Fogarty GJ, Shaw A. Safety climate and the Theory of Planned Behavior: Towards the prediction of unsafe behavior. Accident Analysis & Prevention. 2010;42(5):1455–9.
16. Itoh K, Andersen HB. A national survey on healthcare safety culture in Japan: Analysis of 20,000 staff responses from 84 hospitals. Management. 2008; 4: 22–9.
17. Wu Y, Fujita S, Seto K, Ito S, Matsumoto K, Huang C-C, et al. The impact of nurse working hours on patient safety culture: a cross-national survey including Japan, the United States and Chinese Taiwan using the Hospital Survey on Patient Safety Culture. BMC Health Services Research. 2013;13(1):394–401
18. Wilpert B, Itoigawa N. Safety Culture In Nuclear Power Operations. CRC Press; 2001.
19. Takano KI, Kojima M, Hasegawa N, Hirose A. Interrelationships Between Organizational Factors and Major Safety Indicators. Safety Culture in Nuclear Power Operations. 2001;189–206.
20. McKinley IG, Grogan HA, McKinley LE. Fukushima: overview of relevant international experience. Genshiryoku Backend Kenkyu. 2011; 18(2): 89–99.
21. Funabashi Y, Kitazawa K. Fukushima in review: A complex disaster, a disastrous response. Bulletin of the Atomic Scientists. 2012; 68(2): 9–21.
22. Holt M, Campbell RJ, Nikitin MB. Fukushima nuclear disaster. Congressional Research Service. 2012; 7–5700.
23. Thomas S. What will the Fukushima disaster change?. Energy Policy. 2012; 45, 12–7.
24. Lipscy PY, Kushida KE, Incerti T. The Fukushima Disaster and Japan’s Nuclear Plant Vulnerability in Comparative Perspective. Environmental Science & Technology. 2013;47(12):6082–8.
25. Hollnagel E, Fujita Y. The Fukushima Disaster–Systemic Failures As The Lack Of Resilience. Nuclear Engineering and Technology. 2013;45(1):13–20.
26. Kastenberg WE. Ethics, risk, and safety culture: reflections on Fukushima and beyond. Journal of Risk Research. 2014;18(3):304–16.
27. Mabon L, Kawabe M. Engagement on risk and uncertainty–lessons from coastal regions of Fukushima Prefecture, Japan after the 2011 nuclear disaster? Journal of Risk Research. 2016;21(11):1297–312.
28. Hsu SH, Lee C-C, Wu M-C, Takano K. A cross-cultural study of organizational factors on safety: Japanese vs. Taiwanese oil refinery plants. Accident Analysis & Prevention. 2008;40(1):24–34.
29. Huang JW. Taiwan’s petrochemical industry in transition. Taipei: Showwe. (in Chinese).2007.
30. Hosny G, Ea E, Ea S. A Comparative Assessment of Safety Climate Among Petroleum Companies. Egyptian Journal of Occupational Medicine. 2017; 41(2): 307–24.
31. Kao C-S, Lai WH, Chuang TF, Lee J-C. Safety culture factors, group differences, and risk perception in five petrochemical plants. Process Safety Progress. 2008;27(2):145–52.
32. Pordanjani TR, Ebrahimi AM. Safety Motivation and Work Pressure as Predictors of Occupational Accidents in the Petrochemical Industry. Health Scope. 2015;4(4).
33. Salleh A. Safety behavior in the Malaysian petrochemical industry. PhD thesis. Malaysia: University of Utara Malaysia; 2010.
34. Choudhry RM, Fang D, Mohamed S. Developing a Model of Construction Safety Culture. Journal of Management in Engineering. 2007;23(4):207–12.
35. Filho APG, Andrade JCS, Marinho MMDO. A safety culture maturity model for petrochemical companies in Brazil. Safety Science. 2010;48(5):615–24.
36. Wu T-C, Lin C-H, Shiau S-Y. Developing Measures for Assessing the Causality of Safety Culture in a Petrochemical Industry. Water, Air, & Soil Pollution: Focus. 2009;9(5–6):507–15.
37. Shirali G, Shekari M, Angali K. Quantitative assessment of resilience safety culture using principal components analysis and numerical taxonomy: A case study in a petrochemical plant. Journal of Loss Prevention in the Process Industries. 2016;40:277–84.
38. Flin R, Mearns K, Oconnor P, Bryden R. Measuring safety climate: identifying the common features. Safety Science. 2000;34(1–3):177–92.
39. Puerto CLD, Clevenger CM, Boremann K, Gilkey DP. Exploratory Study to Identify Perceptions of Safety and Risk among Residential Latino Construction Workers as Distinct from Commercial and Heavy Civil Construction Workers. Journal of Construction Engineering and Management. 2014;140(2):04013048.
40. Ismail Z, Doostdar S, Harun Z. Factors influencing the implementation of a safety management system for construction sites. Safety Science. 2012;50(3):418–23.
41. Choudhry RM, Fang D, Lingard H. Measuring Safety Climate of a Construction Company. Journal of Construction Engineering and Management. 2009;135(9):890–9.
42. Wiegmann DA, Zhang H, Von Thaden TL, Sharma G, Gibbons AM. Safety culture: An integrative review. The International Journal of Aviation Psychology. 2004; 14(2): 117–34.
43. Mearns K, Whitaker SM, Flin R. Safety climate, safety management practice and safety performance in offshore environments. Safety Science. 2003;41(8):641–80.
44. Wu TC, Chang SH, Shu CM, Chen CT, Wang CP. Safety leadership and safety performance in petrochemical industries: The mediating role of safety climate. Journal of Loss Prevention in the Process Industries. 2011; 24(6): 716–21.
45. Alrehaili O. Assessing Safety Culture among Personnel in Governmental Construction Sites at Saudi Arabia: A Quantitative Study Approach". Electronic Theses and Dissertations. 5261. University of Central Florida, USA. https://stars.library.ucf.edu/etd/5261; 2016.
46. Geller ES. Ten principles for achieving a total safety culture. Professional Safety.1994; 39(9): 18.
47. Wiegmann DA, Shappell SA. Human error perspectives in aviation. The International Journal of Aviation Psychology. 2001; 11(4): 341–57.
48. Choudhry R, Fang D, Mohamed S. The nature of safety culture: A survey of the state-of-the-art. Safety Science. 2007b;45(10):993–1012.
49. Garson GD. Partial Least Squares: Regression and Structural Equation Models. Asheboro, NC: Statistical Associates Publishers; 2016.
50. Hair J F Jr, Hult GTM, Ringle C, & Sarstedt M. A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications; 2016.
51. Fornell C, & Larcker DF. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research.1981; 39–50.
52. Cronbach LJ. (1951). Coefficient Alpha and the Internal Structure of Tests. Psychometrika, 1951;16(3), 297–334.
53. Carmines EG, & Zeller RA. Reliability and validity assessment (Vol. 17). Sage publications.1979.
54. Byrne BM. Structural equation modeling with AMOS: Basic concepts, applications, and programming. Routledge. 2016.
55. Schumacker RE, Lomax RG. A beginner's guide to structural equation modeling. Psychology Press.2004.
56. Molenaar K, Washington S, Diekmann J. Structural Equation Model of Construction Contract Dispute Potential. Journal of Construction Engineering and Management. 2000;126(4):268–277.
57. Henseler J, Ringle CM, & Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 2015; 43(1), 115–135.
58. Hair J. F. Jr, Hult G. T. M., Ringle C., & Sarstedt M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
59. Locke E, Shaw K, Saari L, Latham G. Goal setting and task performance: 1969–1980. Psychological Bulletin. 1981;90(1):125–152.
60. Locke E, Latham G. Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist. 2002;57(9):705–717. doi: 10.1037//0003-066x.57.9.705 12237980
61. Lunenburg FC. Goal-setting theory of motivation. International journal of management, business, and administration. 2011; 15(1): 1–6.
62. Earley PC, Shalley CE. New perspectives on goals and performance: Merging motivation and cognition. In Ferris G. & Rowland K. (Eds.), Research in personnel and human resources management. Greenwich, CT: JAI Press. 1991;9: 121–157.
Článek vyšel v časopise
PLOS One
2019 Číslo 12
- S diagnostikou Parkinsonovy nemoci může nově pomoci AI nástroj pro hodnocení mrkacího reflexu
- Je libo čepici místo mozkového implantátu?
- Pomůže v budoucnu s triáží na pohotovostech umělá inteligence?
- AI může chirurgům poskytnout cenná data i zpětnou vazbu v reálném čase
- Nová metoda odlišení nádorové tkáně může zpřesnit resekci glioblastomů
Nejčtenější v tomto čísle
- Methylsulfonylmethane increases osteogenesis and regulates the mineralization of the matrix by transglutaminase 2 in SHED cells
- Oregano powder reduces Streptococcus and increases SCFA concentration in a mixed bacterial culture assay
- The characteristic of patulous eustachian tube patients diagnosed by the JOS diagnostic criteria
- Parametric CAD modeling for open source scientific hardware: Comparing OpenSCAD and FreeCAD Python scripts
Zvyšte si kvalifikaci online z pohodlí domova
Všechny kurzy