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Dual process management of coal miners’ unsafe behaviour in the Chinese context: Evidence from a meta-analysis and inspired by the JD-R model

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  • Tong, Ruipeng
  • Yang, Xiaoyi
  • Li, Hongwei
  • Li, Jianfei

Abstract

Workers' unsafe behaviour is the immediate reason for accidents, as well as the primary cause. To manage coal miners' unsafe behaviours, the JD-R model was tailored to investigate this subject, and it was developed qualitatively initially and then verified by employing a meta-analysis quantitatively in the Chinese context. Thus, a revised model was created with Job Demands (JD) and Job Resources (JR), both involving four sub-factors, strain and motivations factors respectively containing two and five sub-factors, five confirmed hypotheses and one contrary hypothesis, which could explain the miners' unsafe behaviour from the JD-R model and theory perspective. The paper then presents ideas for dual process management to intervene in coal miners’ unsafe behaviours based on environment/organization-occupational psychology-behaviour processes in Chinese coal mines, and some specific and workable suggestions are provided.

Suggested Citation

  • Tong, Ruipeng & Yang, Xiaoyi & Li, Hongwei & Li, Jianfei, 2019. "Dual process management of coal miners’ unsafe behaviour in the Chinese context: Evidence from a meta-analysis and inspired by the JD-R model," Resources Policy, Elsevier, vol. 62(C), pages 205-217.
    • Handle: RePEc:eee:jrpoli:v:62:y:2019:i:c:p:205-217
    DOI: 10.1016/j.resourpol.2019.03.019
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    References listed on IDEAS

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    Cited by:

    1. Fangyuan Tian & Hongxia Li & Shuicheng Tian & Chenning Tian & Jiang Shao, 2022. "Is There a Difference in Brain Functional Connectivity between Chinese Coal Mine Workers Who Have Engaged in Unsafe Behavior and Those Who Have Not?," IJERPH, MDPI, vol. 19(1), pages 1-21, January.
    2. Ismail, Siti Noraishah & Ramli, Azizan & Aziz, Hanida Abdul, 2021. "Influencing factors on safety culture in mining industry: A systematic literature review approach," Resources Policy, Elsevier, vol. 74(C).
    3. Guodong Ni & Xinyue Miao & Li Li & Huaikun Li & Shaobo Wang & Miaomiao Niu, 2022. "Can Professionalization Alleviate Job Burnout in Construction Workers in China? A Multivariable Mediating Model," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    4. Quy Nguyen-Phuoc, Duy & An Ngoc Nguyen, Nguyen & Nguyen, Minh Hieu & Ngoc Thi Nguyen, Ly & Oviedo-Trespalacios, Oscar, 2022. "Factors influencing road safety compliance among food delivery riders: An extension of the job demands-resources (JD-R) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 541-556.
    5. Lixia Niu & Xiaotong Li & Xiaomeng Li & Jie Liu, 2022. "The Effects of Job Demands and Job Resources on Miners’ Unsafe Behavior—The Mediating and Moderating Role of a Sense of Calling," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    6. Li, Wanzhen & Zhou, Lujie & Hao, Jian & Yu, Kai & Chen, Jing & Liu, Pingping & Feng, Rui, 2023. "Dynamic simulation and control strategy exploration of the unsafe behavior of coal mine employees," Resources Policy, Elsevier, vol. 86(PA).
    7. Xiaoyi Yang & Boling Zhang & Lulu Wang & Lanxin Cao & Ruipeng Tong, 2021. "Exploring the Relationships between Safety Compliance, Safety Participation and Safety Outcomes: Considering the Moderating Role of Job Burnout," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    8. Xinping Wang & Cheng Zhang & Jun Deng & Chang Su & Zhenzhe Gao, 2022. "Analysis of Factors Influencing Miners’ Unsafe Behaviors in Intelligent Mines using a Novel Hybrid MCDM Model," IJERPH, MDPI, vol. 19(12), pages 1-30, June.

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