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Performance optimization of unique resilient human resource management system in a coal mine industry

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Abstract

Coal mine industry is recognized as a highly risk-oriented environment. Integrated resilience engineering can be employed to minimize the damages and hazards caused by sudden changes in such systems. It can be used to shift human resource management (HRM) to normal state in case of emergencies and unexpected events. Resilient HRM (RHRM) is composed of cognitive, behavioral, and contextual elements of organizational resilience. Moreover, this study presents and evaluates a new concept of RHRM in a real coal industry. An integrated algorithm composed of mathematical programming and statistical techniques is presented to assess and optimize RHRM. Data are obtained by standard questionnaire in a real mining industry. Results demonstrated that the cognitive dimension and the sub-dimension of employee contributions must be accounted as the most effective characteristics of the RHRM. In addition, skill was determined as the most significant sub-dimension of the cognitive dimension. This is the first study that investigates and optimizes the impact of resilience engineering on HRM in a coal mine industry. Second, a unique RHRM is presented and solved by multi-objective mathematical model. It is a practical approach, which can be implemented by decision makers in coal industries.

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Correspondence to Delaram Heydarian.

Appendix

Appendix

See Table 7.

Table 7 Average of collected raw data

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Azadeh, A., Heydarian, D., Nemati, K. et al. Performance optimization of unique resilient human resource management system in a coal mine industry. Int J Syst Assur Eng Manag 9, 1178–1197 (2018). https://doi.org/10.1007/s13198-018-0728-7

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  • DOI: https://doi.org/10.1007/s13198-018-0728-7

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