Effects of personality on job burnout and safety performance of high-speed rail drivers in China: the mediator of organizational identification

References

• Abolfazl, M. M., Aliasghar, S., Morteza, J. Q., Hamid, F., & Moein, B. (2018). Investigating the relationship between driver's ticket frequency and demographic, behavioral, and personal factors: Which drivers commit more offenses? Journal of Transportation Safety & Security, 20(6), 1-20 doi:10.1080/19439962.2018.1477894
   Google Scholar
• Alarcon, G., Eschleman, K. J., & Bowling, N. A. (2009). Relationships between personality variables and burnout: A meta-analysis. Work & Stress, 23(3), 244–263. doi:10.1080/02678370903282600
   Google Scholar
• Ashforth, B. E., & Mael, F. (1989). Social identity theory and the organization. The Academy of Management Review, 14(1), 20–39. doi:10.2307/258189
   Google Scholar
• Bakker, A. B., & Oerlemans, W. G. (2016). Momentary work happiness as a function of enduring burnout and work engagement. The Journal of Psychology, 150(6), 755–778. doi:10.1080/00223980.2016.1182888
   Google Scholar
• Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction insocial psychological research: Conceptual, strategic, and statisticalconsiderations. Journal of Personality and Social Psychology, 51(6), 1173–1182.
   Google Scholar
• Barrick, M. R., & Mount, M. K. (1991). Autonomy as a moderator of the relationships between the big five personality dimensions and job performance. Journal of Applied Psychology, 78(1), 111–118. doi:10.1037//0021-9010.78.1.111
   Google Scholar
• Ceschi, A., Costantini, A., Scalco, A., Charkhabi, M., & Sartori, R. (2016). The relationship between the big five personality traits and job performance in business workers and employees’ perception. International Journal of Business Research, 16(2), 63–76. doi:10.18374/IJBR-16-2.5
   Google Scholar
• Demerouti, E., Nachreiner, F., Bakker, A. B., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. doi:10.1037//0021-9010.86.3.499
   Google Scholar
• Fontana, D., & Abouserie, R. (1993). Stress levels, gender and personality factors in teachers. British Journal of Educational Psychology, 63(2), 261–270. doi:10.1111/j.2044-8279.1993.tb01056.x
   Google Scholar
• 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. doi:10.1037//1076-8998.5.3.347
   Google Scholar
• Guo, M., Wei, W., Liao, G., & Chu, F. (2016). The impact of personality on driving safety among Chinese high-speed railway drivers. Accident Analysis & Prevention, 92, 9–14. doi:10.1016/j.aap.2016.03.014
   Google Scholar
• Hahn, D. W., Lee, K., & Ashton, M. C. (1999). A factor analysis of the most frequently used Korean personality trait adjectives. European Journal of Personality, 13(4), 261–282. doi:10.1002/(SICI)1099-0984(199907/08)13:4<261::AID-PER340>3.0.CO;2-B
   Google Scholar
• Harris, D. A., Haskell, J., Cooper, E., Crouse, N., & Gardner, R. (2018). Estimating the association between burnout and electronic health record-related stress among advanced practice registered nurses. Applied Nursing Research, 43, 36–41. doi:10.1016/j.apnr.2018.06.014
   Google Scholar
• Haslam, S. A., & Reicher, S. D. (2006). Stressing the group: Social identity and the unfolding dynamics of responses to stress. Journal of Applied Psychology, 91(5), 1037–1052. doi:10.1037/0021-9010.91.5.1037
   Google Scholar
• Hofmann, D. A., Morgeson, F. P., & Gerras, S. J. (2003). Climate as a moderator of the relationship between leader-member exchange and content specific citizenship: Safety climate as an exemplar. Journal of Applied Psychology, 88(1), 170–178. doi:10.1037/0021-9010.88.1.170
   Google Scholar
• Hough, L. M., & Ones, D. S. (2002). The structure, measurement, validity, and use of personality variables in industrial. Handbook of Industrial Work and Organizational Psychology, 57(3), 233–277.
   Google Scholar
• Houghton. (2009). The five factor model of personality and performance in the European community. Journal of Applied Psychology, 87(1), 30–43.
   Google Scholar
• Hyun, A. M. H. (2007). Evaluating the borderline personality: A study of identity and narrative voice. PhD Thesis. University of Illinois at Urbana-Champaign.
   Google Scholar
• Jia, Z. (2015). A survey on work stress and job burnout of railway drivers on safety performance. In Proceedings of 2014 1st International Conference on Industrial Economics and Industrial Security (pp. 223–228). Berlin, Heidelberg: Springer.
   Google Scholar
• John, O. P., & Srivastava, S. (1999). The big five trait taxonomy: history, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (pp. 102-138). New York, NY, US: Guilford Press.
   Google Scholar
• Hogan, J., & Foster, J. (2013). Multifaceted personality predictors of workplace safety performance: More than conscientiousness. Human Performance, 26(1), 20–43.
   Google Scholar
• Kim, H. J., Kang, H. S., & Umbreit, W. T. (2007). Hotel job burnout: The role of personality characteristics. International Journal of Hospitality Management, 26(2), 421–434. doi:10.1016/j.ijhm.2006.03.006
   Google Scholar
• Knippenberg, D. V., & Sleebos, E. (2006). Organizational identification versus organizational commitment: Self-definition, social exchange, and job attitudes. Journal of Organizational Behavior, 27(5), 571–584.
   Google Scholar
• Large, D. R., Golightly, D., & Taylor, E. L. (2014). The effect of driver advisory systems on train driver workload and performance. Contemporary Ergonomics and Human Factors, 15(2), 335–342.
   Google Scholar
• Mael, F. A., & Ashforth, B. E. (1992). Alumni and their alma mater: A partial test of the reformulated model of organizational identification. Journal of Organizational Behavior, 13(2), 103–123.
   Google Scholar
• Maslach, C., & Jackson, S. E. (1981). The measurement of experienced burnout. Journal of Organizational Behavior, 2(2), 99–113.
   Google Scholar
• Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52, 397–422. doi:10.1146/annurev.psych.52.1.397
   Google Scholar
• Mccrae Jr, R. R., & Costa, P. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality & Social Psychology, 54(1), 81–90.
   Google Scholar
• Mérida-López, S., & Extremera, N. (2017). Emotional intelligence and teacher burnout: A systematic review. International Journal of Educational Research, 85, 121–130. doi:10.1016/j.ijer.2017.07.006
   Google Scholar
• Mills, L., & Huebner, E. (1998). A prospective study of personality characteristics, occupational stressors, and burnout among school psychology practitioners. Journal of School Psychology, 36(1), 103–120.
   Google Scholar
• Mojsa-Kaja, J., Golonka, K., & Marek, T. (2015). Job burnout and engagement among teachers: Worklife areas and personality traits as predictors of relationships with work. International Journal of Occupational Medicine and Environmental Health, 28(1), 102–119. doi:10.13075/ijomeh.1896.00238
   Google Scholar
• Mount, M., Ilies, R., & Johnson, E. (2006). Relationship of personality traits and counterproductive work behaviors: themediating effects of job satisfaction. Personnel Psychology, 59(3), 591–622.
   Google Scholar
• Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31(4), 437–448.
   Google Scholar
• Schwarzkopf, K., Straus, D., Porschke, H., Znoj, H., Conrad, N., Schmidt-Trucksäss, A., & Känel, R. V. (2016). Empirical evidence for a relationship between narcissistic personality traits and job burnout. Burnout Research, 3(2), 25–33. doi:10.1016/j.burn.2015.12.001
   Google Scholar
• Somer, O., & Goldberg, L. R. (1999). The structure of Turkish trait-descriptive adjectives. Journal of Personality and Social Psychology, 76(3), 431–450. doi:10.1037/0022-3514.76.3.431
   Google Scholar
• Sun, R., Zhao, N., & Li, J. (2015). Theoretical analysis of personality traits and behavior safety of civil aviation pilots. Chinese Journal of Ergonomics, 21(3), 50–54.
   Google Scholar
• Swider, B. W., & Zimmerman, R. D. (2010). Born to burnout: A meta-analytic path model of personality, job burnout, and work outcomes. Journal of Vocational Behavior, 76(3), 487–506. doi:10.1016/j.jvb.2010.01.003
   Google Scholar
• Wei, W., Guo, M., Ye, L., Liao, G., & Yang, Z. (2016). Work-family conflict and safety participation of high-speed railway drivers: Job satisfaction as a mediator. Accident Analysis & Prevention, 95(Pt A), 97–103. doi:10.1016/j.aap.2016.06.022
   Google Scholar
• Wegge, J., van Dick, R., Fisher, G. K., Wecking, C., & Moltzen, K. (2006). Work motivation, organizational identification, and well-being in call centre work. Work & Stress, 20(1), 60–83. doi:10.1080/02678370600655553
   Google Scholar
• Xi, J. (2006). Analysis on safety evaluation index of locomotive driver. Beijing: Jiaotong University.
   Google Scholar
• Yuan, X., Li, Y., Xu, Y., & Huang, N. (2018). Curvilinear effects of personality on safety performance: The moderating role of supervisor support. Personality and Individual Differences, 122, 55–61. doi:10.1016/j.paid.2017.10.005
   Google Scholar
• Zellars, K. L., Perrewe, P. L., & Hochwarter, W. A. (2000). Burnout in health care: The role of the five factors of personality. Journal of Applied Social Psychology, 30(8), 1570–1598. doi:10.1111/j.1559-1816.2000.tb02456.x
   Google Scholar
• Zhang, Y. (2016). Research on the influence of employees personality traits on their innovation behavior about service industry. Qingdao: Qingdao University of Technology.
   Google Scholar
• Zhang, J., Li, Y., & Wu, C. (2013). The influence of individual and team cognitive ability on operators' task and safety performance: A multilevel field study in nuclear power plants. PLoS One, 8(12), e84528. doi:10.1371/journal.pone.0084528
   Google Scholar