PMID- 35742616
OWN - NLM
STAT- MEDLINE
DCOM- 20220627
LR  - 20220716
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 19
IP  - 12
DP  - 2022 Jun 16
TI  - Analysis of Factors Influencing Miners' Unsafe Behaviors in Intelligent Mines 
      using a Novel Hybrid MCDM Model.
LID - 10.3390/ijerph19127368 [doi]
LID - 7368
AB  - Coal mine accidents seriously affect people's safety and social development, and 
      intelligent mines have improved the production safety environment. However, 
      safety management and miners' work in intelligent mines face new changes and 
      higher requirements, and the safety situation remains challenging. Therefore, 
      exploring the key influencing factors of miners' unsafe behaviors in intelligent 
      mines is important. Our work focuses on (1) investigating the relationship and 
      hierarchy of 20 factors, (2) using fuzzy theory to improve the decision-making 
      trial and evaluation laboratory (DEMATEL) method and introducing the maximum mean 
      de-entropy (MMDE) method to determine the unique threshold scientifically, and 
      (3) developing a novel multi-criteria decision-making (MCDM) model to provide 
      theoretical basis and methods for managers. The main conclusions are as follows: 
      (1) the influence degree of government regulation, leadership attention, safety 
      input level, safety system standardization, and dynamic supervision intensity 
      exert the most significant influence on the others; (2) the causality of 
      government regulation, which is the deep factor, is the highest, and 
      self-efficacy displays the smallest causality, and it is the most sensitive 
      compared to various other factors; (3) knowledge accumulation ability, 
      man-machine compatibility, emergency management capability, and organizational 
      safety culture has the highest centrality among the individual factors, device 
      factors, management factors, and environmental factors, respectively. Thus, 
      corresponding management measures are proposed to improve coal mine safety and 
      miners' occupational health.
FAU - Wang, Xinping
AU  - Wang X
AD  - School of Management, Xi'an University of Science and Technology, Xi'an 710054, 
      China.
FAU - Zhang, Cheng
AU  - Zhang C
AD  - School of Management, Xi'an University of Science and Technology, Xi'an 710054, 
      China.
FAU - Deng, Jun
AU  - Deng J
AD  - School of Safety Science and Engineering, Xi'an University of Science and 
      Technology, Xi'an 710054, China.
FAU - Su, Chang
AU  - Su C
AD  - School of Safety Science and Engineering, Xi'an University of Science and 
      Technology, Xi'an 710054, China.
FAU - Gao, Zhenzhe
AU  - Gao Z
AD  - School of Management, Xi'an University of Science and Technology, Xi'an 710054, 
      China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220616
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
RN  - 0 (Coal)
SB  - IM
MH  - Coal
MH  - *Coal Mining
MH  - Humans
MH  - *Miners
MH  - *Occupational Health
MH  - Safety Management
PMC - PMC9224353
OTO - NOTNLM
OT  - DEMATEL
OT  - MCDM
OT  - MMDE
OT  - intelligent mine
OT  - miners' unsafe behaviors
COIS- The authors declare no conflict of interest.
EDAT- 2022/06/25 06:00
MHDA- 2022/06/28 06:00
PMCR- 2022/06/16
CRDT- 2022/06/24 01:19
PHST- 2022/05/02 00:00 [received]
PHST- 2022/06/11 00:00 [revised]
PHST- 2022/06/13 00:00 [accepted]
PHST- 2022/06/24 01:19 [entrez]
PHST- 2022/06/25 06:00 [pubmed]
PHST- 2022/06/28 06:00 [medline]
PHST- 2022/06/16 00:00 [pmc-release]
AID - ijerph19127368 [pii]
AID - ijerph-19-07368 [pii]
AID - 10.3390/ijerph19127368 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2022 Jun 16;19(12):7368. doi: 
      10.3390/ijerph19127368.