Multi-level Hierarchical Structure Analysis of Influencing Factors of
Coal Mine Managers’ Blame Avoidance Behavior
Dublin Core
Title
Multi-level Hierarchical Structure Analysis of Influencing Factors of
Coal Mine Managers’ Blame Avoidance Behavior
Coal Mine Managers’ Blame Avoidance Behavior
Subject
Blame avoidance behavior
Coalmine managers
DEMATEL-ISM model
Grounded theory
Influencing factors
Coalmine managers
DEMATEL-ISM model
Grounded theory
Influencing factors
Description
In the Chinese coal industry, widespread blame avoidance behavior (BAB) greatly impacts
coal mine accidents. Therefore, it is necessary to stop the BAB of coal mine managers and raise the
management level of coal mine enterprises for the safe development of Chinese coal industry.
Methods: Based on the semi-structured interviews and questionnaire surveys (20 middle-level managers
in coal mines), this paper used the Grounded Theory and Nvivo Software qualitative research methodology to open, spindle, and selectively encode the interview data. Then, an index system of factors
influencing BAB of coal mine managers was constructed. The influence degree, affected degree, centrality
degree, cause degree of each influencing factor were calculated and the hierarchical model of influencing
factors of BAB of coal mine managers was established by the DEMATEL-ISM method which is a decision
support tool used to evaluate and analyze the interdependencies between influencing factors.
Results: Index system of factors influencing BAB of coal mine managers included four levels and 12
influencing factors: individual, organizational, institutional environmental, and situational factors. The
hierarchical model identified eight causal factors and four consequential factors, of which safety management (15.355), work attitude (14.380), and work group performance (14.281) in the top three of the
centrality rankings are the key factors affecting the avoidance behavior of coal mine managers; A 3-level
multilevel structure was constructed to reflect the interactions among the factors influencing the BAB of
coal mine managers in terms of direct, indirect, and root causes, and corresponding improvement
measures were proposed.
Conclusion: This study offers a theoretical complement and practical guidance for stopping BAB of coal
mine managers
coal mine accidents. Therefore, it is necessary to stop the BAB of coal mine managers and raise the
management level of coal mine enterprises for the safe development of Chinese coal industry.
Methods: Based on the semi-structured interviews and questionnaire surveys (20 middle-level managers
in coal mines), this paper used the Grounded Theory and Nvivo Software qualitative research methodology to open, spindle, and selectively encode the interview data. Then, an index system of factors
influencing BAB of coal mine managers was constructed. The influence degree, affected degree, centrality
degree, cause degree of each influencing factor were calculated and the hierarchical model of influencing
factors of BAB of coal mine managers was established by the DEMATEL-ISM method which is a decision
support tool used to evaluate and analyze the interdependencies between influencing factors.
Results: Index system of factors influencing BAB of coal mine managers included four levels and 12
influencing factors: individual, organizational, institutional environmental, and situational factors. The
hierarchical model identified eight causal factors and four consequential factors, of which safety management (15.355), work attitude (14.380), and work group performance (14.281) in the top three of the
centrality rankings are the key factors affecting the avoidance behavior of coal mine managers; A 3-level
multilevel structure was constructed to reflect the interactions among the factors influencing the BAB of
coal mine managers in terms of direct, indirect, and root causes, and corresponding improvement
measures were proposed.
Conclusion: This study offers a theoretical complement and practical guidance for stopping BAB of coal
mine managers
Creator
Li Wang 1,2,3
, Wenyi Zeng 1,2,3
, Ziyan Jing 1,2,3,4,*, Yonghui Xu 5
, Jiang Li 1,2,3
, Wenyi Zeng 1,2,3
, Ziyan Jing 1,2,3,4,*, Yonghui Xu 5
, Jiang Li 1,2,3
Source
https://pdf.sciencedirectassets.com/287282/1-s2.0-S2093791124X00050/1-s2.0-S2093791124000556/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEFIaCXVzLWVhc3QtMSJHMEUCIGQw5w01TW%2BjGyNH2HWRAD2PPOETdqnSFwlpNrLIWGhFAiEAmswxv6%2BoR4%2ByuPq2%2FslfIix6kHeJxmtT3FEU%2FY7bxvQqswUIGxAFGgwwNTkwMDM1NDY4NjUiDOGAxdxFqlAh6PzC7SqQBeb8UgX4hLcw8LsrTeqa4wGT2eTcZm11DHqw65AGGMbtEjAjUuwG6kxeQkCjdiJHofhhZHGXfYgzus%2BZj7pBsQV%2BRVC7wzimt37DqGq7z3coxtIRkUqFxlzQiT5eOKogc0HfnqONePHlE0XRHtdJfir4ztcMrEvbIpLXBlv3dQM2YoHzYS1f7zTLMDWW%2FlilcjWhGrusDEeWQXKDVRIbo2Re4TKyCalxtEviy1hB%2Bf0pQDu2PtCEWVYGvvdPwhKJqRmG26rLzvcAPyaJxv7nyrYG3M0povC81WFJ7%2Flwdr10RNrhW4ElIehgaTL5Ko2hkzU4c2b5TT6cD%2F5mvukqHNKfCL49H2wa0FlvlaWm8AMQ2dmeLbr8uSPH%2FDi0quJVdww29ypJSl9ElEV%2FoXzK95Q1e8mdRl5Kd%2BU4TslhkZPozDqurNv7gZRA1UWc7xeFB5OPmtgYmPfnVWy2aZoAkiyiUGvHJG0YioFOOLzOq9K2vtEphjAkkE22AIs3qOSYQvuWoNNt5VVDy9SvS34pHRLysuN8H9kGQ%2FWrJvM7R0c%2FXkxoEYZyGgStu3YxwX77ey7I9h0Rb8yUPu258NmH04DF6DRSWave%2BeSosuHU99sSR9IpYJoeCiJfhWJlHdTB15QBaat9c%2FLhq7QkpNcmvVT9B%2B0HbgQF8hXGriXdueE%2F2RrmDGuvHsjaLMn4nHDtDV6I1oVvxl%2BeUrrO7t4P8O1ItyoyOc0spvpCrq2hMo6L8tuYYaWZ15VxP87b%2BmkPHkheKf8UUxeIeG%2Fe8Kp2W%2BEj%2FEDWTmoCMySQam8xzH7mUk9qooXioSL1nVD8do8LUlbqIPRi9ZOxiCwXPrz4c2mKVJORuf%2F4JwMVCjGAZWa%2FMLDT%2FswGOrEBYGicvJBw2%2BQ03PZ6fS2kRuiBjYmJu%2Bx1erHC4x25KHUzL2gIr3arMYgZ6xwjjfUTmAea%2FDlM6hyQ6nRNmztQ2se%2FF3mhA9cdlxO6lSf2%2F8seClZ4JjEbm1x5Twd%2BByaHBNdhccLeP1JDcHRYKa6iD1%2F0kuo1MHE1%2FSSIHPTKTH0FpS3KwNvxklLjooC7QHlbtpNwwn3iWEzzKxJiJ7SehMLWpViXJMjupVkE51BHW58M&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20260226T030332Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY6UT4FFNN%2F20260226%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=be7d5eeb559c9c82c352716ba6fe1c9660bc36f4321e16b780c9012a9f3fda0b&hash=d6afc9e00150c1eab3ff03e1521bbf188096a59864ede321e8876538e599fa74&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2093791124000556&tid=spdf-743a0a74-00e9-4e14-b493-1381334bbdf2&sid=830681cc5d60f646526bf61913cd5206d1e8gxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=0b015e065401525202&rr=9d3c35bbb86c0d3d&cc=id
Publisher
1 College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi, China 2 Institute of Safety Management and Risk Control, Xi’an University of Science and Technology, Xi’an, Shaanxi, China 3 Institute of Safety and Emergency Management, Xi’an University of Science and Technology, Xi’an, Shaanxi, China 4 China Academy of Safety Science and Technology, Chaoyang District, Beijing, China
5 Power China Beijing Engineering Corporation Limited, Chaoyang District, Beijing, China
5 Power China Beijing Engineering Corporation Limited, Chaoyang District, Beijing, China
Date
14 August 2024
Contributor
FAJAR BAGUS W
Format
PDF
Language
ENGLISH
Type
TEXT
Files
Citation
Li Wang 1,2,3
, Wenyi Zeng 1,2,3
, Ziyan Jing 1,2,3,4,*, Yonghui Xu 5
, Jiang Li 1,2,3, “Multi-level Hierarchical Structure Analysis of Influencing Factors of
Coal Mine Managers’ Blame Avoidance Behavior,” Repository Horizon University Indonesia, accessed April 11, 2026, https://repository.horizon.ac.id/items/show/11782.
Coal Mine Managers’ Blame Avoidance Behavior,” Repository Horizon University Indonesia, accessed April 11, 2026, https://repository.horizon.ac.id/items/show/11782.