Assessment of safety leadership among senior managers in China's coal mining industry

2021 ◽  
Vol 49 (4) ◽  
pp. 1-13
Author(s):  
Guang Li Li ◽  
Zi Wen Dong ◽  
Zi Kun Pi ◽  
Chen Luo
Keyword(s):  
Coal Mining ◽  
Coal Mines ◽  
Mining Industry ◽  
Validity And Reliability ◽  
Senior Managers ◽  
Coal Mining Industry ◽  
Safety Leadership ◽  
Semistructured Interviews ◽  
Confirmatory Factor ◽  
Data Pruning

The factors giving rise to the safety leadership of senior managers in the coal mining industry are underexplored. We conducted 24 semistructured interviews with experienced senior managers in this industry. We used hermeneutic content analysis for the interview content, identified five safety leadership dimensions of senior mangers, and designed the Safety Leadership Scale in Coal Mines in China. Data from 845 participants in nine coal mines were analyzed with confirmatory factor analysis (CFA). We followed a two-step approach, involving data pruning and a second-order CFA, and validated a 21-item measure that shows good validity and reliability. The secondorder CFA results show that the measure yielded an acceptable fit. Our results can be used to estimate the safety leadership level among senior managers in China's coal mining industry.

A study on key lean enablers of the coal mining sector using ISM, MICMAC and SEM

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar ◽  
Ankita Ray
Keyword(s):  
Conceptual Model ◽  
Coal Mining ◽  
Questionnaire Survey ◽  
Coal Mines ◽  
Mining Industry ◽  
Mining Sector ◽  
Lean Implementation ◽  
Content Type ◽  
Coal Mining Industry ◽  
Indian Coal

PurposeThe purpose of this research is to identify and study the contextual relationships of the significant lean enablers in the Indian coal mining industry using the application of interpretive structural modeling (ISM), matrice d' impacts croisés-multiplication appliquée á un classement (MICMAC) and structural equation modeling (SEM).Design/methodology/approachIn this study, a conceptual model based on ISM was developed forming a hierarchy and contextual relationships of significant enablers for lean implementation in the Indian coal mining industry using a literature review and eliciting expert opinion, which is followed by MICMAC for grouping of enablers and questionnaire survey to validate the ISM based conceptual model using SEM.FindingsThe study modeled and analyzed ten significant enablers of lean implementation in the Indian coal mining industry. The findings suggest that the most important lean enablers in the Indian coal mining industry are employee empowerment, employee motivation and commitment, consistent financial performance measurement and management support.Research limitations/implicationsJudgmental sampling was used for selecting the respondents for conducting the questionnaire survey in this research work as there are a few numbers of coal mines implementing lean principles in India. Although the study was not restricted to a particular part of India with the sample representing the heterogeneous population, the study represents more data from the coal mines in eastern India.Practical implicationsThe model on lean enablers would help the researchers, decision-makers and practitioners to anticipate potential lean enablers in the Indian coal mines and rank the enablers for improved and efficient usage of the available resources creating value to customers with lean and to sustenance academic research on lean.Originality/valueStudies on lean enablers in the mining sector are scarce in the literature, and this study is a novel contribution of exploring lean enablers in the Indian coal mining industry using an integrated approach of ISM–MICMAC and SEM.

Social Licence to Finance and Its Impact on the Coal Mining Industry

2017 ◽  
Author(s):  
Margaret Armstrong ◽  
Alain G. Galli ◽  
Carlos Petter ◽  
Renato Aurelio Petter ◽  
Anna da Silva ◽  
...  
Keyword(s):  
Coal Mining ◽  
Mining Industry ◽  
Coal Mining Industry
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