Research on JD-R model of miners' unsafe behavior based on Meta-analysis

doi:10.16265/j.cnki.issn1003-3033.2018.12.012

Abstract

Abstract: In order to investigate the factors which lead to coal miners' unsafe behavior and contribute to their safety behavior more systematic, and explore the mechanism of miners' unsafe behavior, a JD-R model was built for miners'unsafe behavior. For miners'unsafe behavior, components of the model were listed and hypotheses about the relationship between them were given. Then, the model was examined by Meta-analysis and a revised JD-R model was built. The model variables, correlation coefficents and verified hypotheses about the relationship between variables were also presented. The results show that the revised JD-R model for miners' unsafe behavior consists of job demands and impaired factors containing 4 variables each, and job resources and motivational factors containing 5 variables each, that there are 3 significant interaction processes among the factors, and that miners' unsafe behavior was is a result produced by the interactions between the job demands and the job resources.

Key words: unsafe behavior, job demands-resources (JD-R) model, Meta-analysis, dual processes, confidence interval(CI)

CLC Number:

X913.4

YANG Xiaoyi, TONG Ruipeng. Research on JD-R model of miners' unsafe behavior based on Meta-analysis[J]. China Safety Science Journal, 2018, 28(12): 71-76.

References

[1] HEINRICH H W, PETERSEN D C, ROOS N R, et al. Industrial accident prevention: a safety management approach[M]. New York: McGraw-Hill Companies, 1980: 18-27.
[2] CHEN Hong, QI Hui, FENG Qun. Characteristics of direct causes and human factors in major gas explosion accidents in Chinese coal mines: case study spanning the years 1980-2010[J]. Journal of Loss Prevention in the Process Industries, 2013, 26(1): 38-44.
[3] 佟瑞鹏, 杜志托, 杨校毅, 等. 石化行业人员不安全行为影响因素实证分析[J]. 中国安全科学学报, 2016, 26(3): 34-39.
TONG Ruipeng, DU Zhituo, YANG Xiaoyi, et al. Empirical analysis of factors influencing unsafe behavior of petrochemical industry employees[J]. China Safety Science Journal, 2016, 26(3): 34-39.
[4] HOFMANN D A, BURKE M J, ZOHAR D. 100 years of occupational safety research: from basic protections and work analysis to a multilevel view of workplace safety and risk[J]. Journal of Applied Psychology, 2017, 102(3): 375-388.
[5] DEMEROUTI E, BAKKER A B, NACHREINER F, et al. The job demands-resources model of burnout[J]. Journal of Applied Psychology, 2001, 86(3): 499-512.
[6] HANSEZ I, CHMIEL N. Safety behavior: job demands, job resources, and perceived management commitment to safety[J]. Journal of Occupational Health Psychology, 2010, 15(3): 267-278.
[7] SCHMIDT F L, HUNTER J E. Methods of meta-analysis: correcting error and bias in research findings[M]. California: Sage Publications, 2014: 3-32.
[8] SCHAUFELI W B, BAKKER A B. Job demands, job resources, and their relationship with burnout and engagement: a multi-sample study[J]. Journal of Organizational Behavior, 2004, 25(3): 293-315.
[9] BAKKER A B, DEMEROUTI E. The job demands-resources model: state of the art[J]. Journal of Managerial Psychology, 2007, 22(3): 309-328.
[10] BAKKER A B, DEMEROUTI E. Job demands-resources theory [M]. Chichester: Wellbeing, 2014: 37-64.
[11] BAKKER A B, DEMEROUTI E. Job demands-resources theory: taking stock and looking forward[J]. Journal of Occupational Health Psychology, 2017, 22(3): 273-285.
[12] 佟瑞鹏, 杨校毅. JD-R模型、理论在行为安全研究中的应用及述评[J]. 中国安全科学学报, 2018, 28(11): 42-47.
TONG Ruipeng, YANG Xiaoyi. Review on application of JD-R model and theory in behavior based safety [J]. China Safety Science Journal, 2018, 28(11): 42-47.
[13] PORTA M. A dictionary of epidemiology (5^th Edition)[M]. Oxford: Oxford University Press, 2008: 2-5.
[14] ROSENTHAL R. Meta-analytic procedures for social research[M]. California: Sage Publications, 1991: 36-52.
[15] NEAL A, GRIFFIN M A, HART P M. The impact of organizational climate on safety climate and individual behavior[J]. Safety Science, 2000, 34(1/2/3): 99-109.