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Modeling the predictors of safety behavior in construction workers

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a model that quantifies the causal relations among safety variables (latent variables) and workers’ safety behavior (indicator) using statistical data and hypotheses obtained from construction workers and existing literatures, respectively. The safety variables that affect workers’ safety behaviors are identified from existing studies and operationalized to measure their causal relations with the workers’ behaviors. The model identifies the directions and degrees of the effect of every latent variable on the other latent variables and the indicator. Survey questionnaires were administered to construction workers in South Korea. Exploratory and confirmatory factor analyses, Cronbach's α and structural equation modeling were performed to test the causal hypotheses using SPSS 18.0 and AMOS 18.0. This study provides the theoretical model that predicts construction workers’ safety behavior on construction sites using path diagram and analysis.
Rocznik
Strony
298--311
Opis fizyczny
Bibliogr. 27 poz.
Twórcy
autor
  • Kyungpook National University, Korea
autor
  • Kyungpook National University, Korea
autor
  • Kyungpook National University, Korea
Bibliografia
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  • 5. Tam CM, Zeng SX, Deng ZM. Identifying elements of poor construction safety management in China. Safety Sci. 2004;42(7):569–586. doi: 10.1016/j.ssci.2003.09.001
  • 6. Arditi D, Lee DE, Polat G. Fatal accidents in nighttime vs. daytime highway construction work zones. J Safety Res. 2007;38(4):399-405. doi: 10.1016/j.jsr.2007.04.001
  • 7. Tam CM, Fung IWH, Chan AP. Study on attitude changes in people after the implementation of a new safety management system: the supervision plan. Constr Manage Econ. 2001;19(4):393-403. doi: 10.1080/01446190010027591
  • 8. Mohamed S. Safety climate in construction site environments. J Constr Eng M 2002;128(5):375-384. doi: 10.1061/(ASCE)0733-9364(2002)128:5(375)
  • 9. Dickerson JM, Koch BL, Adams JM, et al. Safety coaches in radiology: decreasing human error and minimizing patient harm. Pediatr Radiol. 2010;40(9):1545-1551. doi: 10.1007/s00247-010-1704-9
  • 10. Hermann JA, Ibarra GV, Hopkins BL. A safety program that integrated behavior-based safety and traditional safety methods and its effects on injury rates of manufacturing workers. J Organ Behav Manage. 2010;30(1):6-25.
  • 11. Chen D, Tian H. Behavior Based Safety for Accidents Prevention and Positive Study in China Construction Project. Procedia Eng. 2012;43:528–534. doi: 10.1016/j.proeng.2012.08.092
  • 12. Zhang M, Fang D. A continuous Behavior-Based Safety strategy for persistent safety improvement in construction industry. Automat Constr. 2012;34:101-107. doi: 10.1016/j.autcon.2012.10.019
  • 13. Zohar D. A group-level model of safety climate: testing the effect of group climate on micro accidents in manufacturing jobs. J Appl Psychol. 2000;85(4):587-596. doi: 10.1037/0021-9010.85.4.587
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  • 15. Neal A, Griffin MA, Hart PM. The impact of organizational climate on safety climate and individual behavior. Safety Sci. 2000;34(1):99-109. doi: 10.1016/S0925-7535(00)00008-4
  • 16. Cooper-Hakim A, Viswesvaran C. The construct of work commitment; testing an integrative framework. Psychol Bull. 2005;131(2):241-259. doi: 10.1037/0033-2909.131.2.241
  • 17. Hockey GRJ, John Maule A, Clough PJ, et al. Effects of negative mood states on risk in everyday decision making. Cogn Emot. 2000;14(6):823-855. doi: 10.1080/02699930050156654
  • 18. Neal A, Griffin MA. A study of the lagged relationships among safety climate, safety motivation, safety behavior, and accidents at the individual and group levels. J Appl Psychol. 2006;91(4):946-953. doi: 10.1037/0021-9010.91.4.946
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  • 20. Gregory B, Harris S, Armenakis A, et al. Organizational culture and effectiveness: a study of values, attitudes, and organizational outcomes. J Bus Res. 2009;62(7):673-679. doi: 10.1016/j.jbusres.2008.05.021
  • 21. Kline RB. Principles and practices of structural equation modeling. London: The Guilford Press; 2011.
  • 22. Boswell S, Lowry LW, Wilhoit K. New nurses’ perceptions of nursing practice and quality patient care. J Nurs Care Qual. 2004;19(1):76-81. doi: 10.1097/00001786-200401000-00014
  • 23. Grote G, Kunzler C. Diagnosis of safety culture in safety management audits. Safety Sci. 2000;34(1):131-150. doi: 10.1016/S0925-7535(00)00010-2
  • 24. Choi SM, Kang TY, Woo JM. Development and validation of a modified form of the stress response inventory for workers. J Korean Neuropsychiatr Assoc. 2006;45(6):541–553.
  • 25. Mowday RT, Steers RM, Porter LW. The measurement of organizational commitment. J Vocat Behav. 1979;14(2):224-247. doi: 10.1016/0001-8791(79)90072-1
  • 26. Arbuckle JL, Wothe W. Amos 4.0 User's Guide. Chicago: Small Waters Corporation; 2000.
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Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-57d43141-6388-4c21-afed-93fb0112088a
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