Study of Different Factors Influencing Risk Tolerance of Individuals in Safety Critical Industries with Special Reference to the Indian Mining Industry
Authors
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Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad - 826004, ,IN
Deepak Kumar -
Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad - 826004 ,INRam Madhab Bhattacharjee
DOI:
https://doi.org/10.18311/jmmf/2022/30182Keywords:
Decision Making, Human Behaviour, Risk Profiling, Risk Tolerance, Safety Performance, Unsafe ActAbstract
Despite mechanization, improved working condition, and stringent and exhaustive safety laws, mining is still one of the most hazardous occupations on the earth and the troll of accidents in Indian mining industries is one of the highest in the world. Previous studies affirmed that an individual’s risk tolerance is one of the primary reasons for their unsafe acts at the workplace. In order to improve the safety performance of an organization, it is essential to reduce individual employees’ risk tolerance. Even under identical work conditions and environments, two different people behave differently and may have different risk tolerance. The present study focuses on identifying all the factors influencing an individual’s risk tolerance level at mine workings in the Indian mining industry. The factors have been identified comprehensively and categorized into four major categories: (1) Organizational factors, (2) Human factors, (3) Task environment and task condition factors, (4) Social factors. It is proposed in the study that the effect of each factor on an individual’s risk tolerance at the workplace may be assessed through computational intelligence techniques for developing a prediction model to predict an individual’s risk tolerance level. Based on that, effective recommendations may be made for reducing the risk tolerance of individuals to prevent accidents in the mining industry.
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Copyright (c) 2023 Journal of Mines, Metals and Fuels
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Accepted 2023-04-04
Published 2023-04-04
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