INVESTIGATION OF THE SURFACE TURKEY MINE WORKERS’ ATTITUDES OF TAKING RISKS
DOI:
https://doi.org/10.4314/jfas.v11i2.12Keywords:
Surface Mines, Workers, Risk Taking Tendency, Structural Equation ModellingAbstract
The present study is designed to depict the tendency of mine workers to take risks by the help of a structural equation model proposed. For this purpose, a survey consisting of 15 statements was conducted on 150 workers selected randomly from a surface mine. First section of the study is the introduction. Second section gives a literature review. Third section presents the theoretical framework of the structural equation modelling (SEM), and the final section gives the results of the analysis. Results of the analysis indicate that negative affectivity, fatalistic approach and perception of the sufficiency of workplace safety have a significant effect on the tendency of mine workers to take risks. Upon the SEM, the finding that a one unit increase in negative affectivity results in an increase of 0.51 unit in the tendency of workers to take risks was found to be noteworthy.
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[3]. Leka, S., Jain, A., Cox, T. & Kortum, E. (2011). The development of the European frame work for psychosocial risk management: PRIMA-EF. Journal of Occupational Health, 53, 137-143.
[4]. Hunter, D.R. (2002). Risk Perception and Risk Tolerance in Aircraft Pilots. Federal Aviation Administration (Report No. PB2003100818).
[5]. Rundmo, T. (1995). Perceived risk, safety status, and job stress among injured and non-injured employees on off shore petroleum installations. Journal of Safety Research, 26(2), 87-97.
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[7]. Weyman, A., Clarke, D. D., & Cox, T. (2003). Developing a factor model of coal miners’ attributions on risk-taking at work. Work and Stress, 17 (4), 306 - 320.
[8]. Maiti, J., Chatterjee, S., & Bangdiwala, S.I. (2004). Determinants of work injuries in mines: An application of structural equation modeling. Injury Control and Safety Prevention, 11(1), 29-37.
[9]. Paul, P. S. (2009). “Predictors of work injury in under ground mines—an application of a logistic regression model”. Mining Science and Technology, 19(3), 282–289.
[10]. Paul, P.S. (2013). Investigation of the role of personal factors on work injury in under ground mines using structural equation modeling. International Journal of Mining Science and Technology, 23 (6), 815-819.
[11]. Watson, D., Clarke, L.A.,& Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the Panas scales. Journal of Personality and Social Psychology, 54, 1063–1070.
[12]. Frone, R.M. (1998). Predictors of work injuries among employed adolescents. Journal of Applied Psychology, 83 (4), 565–576.
[13]. Byrne, M.B. (1998). Structural equation modeling with Lisrel, Prelis and Simplis: Basic concepts, applications, and programming. London: Lawrence Erlbaum Associates.
[14]. Jöreskog, K., & Sörbom, D. (2001). LISREL 8: User’s reference guide. Chicago: Scientific Software International Inc.
[15]. Paul, P.S., & Maiti, J. (2007). The role of behavioural factors on safety management in underground mines. Safety Science 45, 449–471.
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[17]. https://tr.wikipedia.org/wiki/T%C3%BCrkiye'deki_madencilik_kazalar%C4%B1_listesi
(Date of access: November 29, 2016)
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Published
2019-04-16
How to Cite
YILMAZ, V.; KIRLOT, N. INVESTIGATION OF THE SURFACE TURKEY MINE WORKERS’ ATTITUDES OF TAKING RISKS. Journal of Fundamental and Applied Sciences, [S. l.], v. 11, n. 2, p. 717–728, 2019. DOI: 10.4314/jfas.v11i2.12. Disponível em: https://www.jfas.info/index.php/JFAS/article/view/270. Acesso em: 11 dec. 2025.
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