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The 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).

In 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.

The 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.

Judgmental 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.

The 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.

Studies 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.

This study aims to comprehensively analyse the implementation and effectiveness of corporate social responsibility (CSR) policies within the context of the Indian coal mining sector. Furthermore, it investigates the alignment between CSR initiatives and the unique challenges faced by the coal mining sector and examines the outcomes and impacts of these initiatives on the employees of the sector and their perspective on the situation.

This study adopts a comprehensive qualitative research method, including a review of the literature, case studies and stakeholder interviews. This study seeks to deconstruct the application of CSR policies.

The analysis developed a deeper understanding of the complexities surrounding CSR policies in the Indian coal mining sector, offering insights into strategies for enhancing the effectiveness and relevance of these initiatives while fostering sustainable development.

This study reveals a rich tapestry of theoretical implications and how they connect to important organisational and societal paradigms. The results of this qualitative analysis can work as a foundation for creating scales to measure the level of efficiency of CSR policies implemented by different companies. Furthermore, this study goes beyond theoretical knowledge and gives companies, regulators and communities information they can use. By looking at how CSR policies work in the real world, a road map for responsible resource extraction and community growth can be made.

The findings are unique in exploring the CSR initiatives and the unique challenges faced by the coal mining sector. This study offers insight on the employees of the sector and their perspectives on the situation and delves into the multifaceted dimensions of CSR practices.

The purpose of this paper is to determine the degree of lean awareness and implementation and to identify the perception on tools, enablers, barriers and potential benefits of lean in the Indian coal mining industry.

A systematic review of lean literature and expert opinion was used to design the survey instrument. Data were collected through electronic survey and traditional pencil and paper approach. In order to test the research hypotheses, independent sample t-tests were done.

The study reveals that there is a certain degree of lean awareness although the level of lean implementation is still at a nascent stage in the Indian coal mining sector. The main applicable tools, barriers, enablers and benefits have also been identified based on 54 respondents out of 109 suitable respondents.

In this study, relatively the maximum participants were from the mines located in Eastern India. Thus, a certain level of bias can be anticipated. The findings would help the decision makers, researchers and practitioners to better utilize the available resources for lean implementation and support the existing academic research on lean.

The concept of lean in mining industry is relatively a new paradigm and there is a lack of empirical study that explores applicable tools, barriers, enablers and benefits of lean in Indian mining industry. The study addresses this gap in the lean literature.

The purpose of this paper is to develop and validate a model for key barriers to lean implementation in the Indian coal mining industry.

Interpretive structural modeling (ISM) has been used to develop a proper hierarchy and contextual relationship of key barriers to lean implementation in the Indian coal mining industry through literature review and expert opinion which is followed by the classification of barriers using Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) and questionnaire-based survey to validate the ISM model using structural equation modeling (SEM).

In this study, 14 key barriers to lean implementation in the Indian coal mining industry have been identified, modeled and analyzed. The lack of top management commitment, financial constraints and lack of inter-departments co-ordination are found to be the most important barriers to lean implementation in the mining industry. The ISM-based model is validated using the SEM.

The analysis of data represents that relatively more participants were from the mines located in eastern India and the maximum participants were managers and executives holding different levels (lower, middle or upper), although key participants in different mines were encouraged to distribute the survey to other employees also.

This model on lean barriers would help the decision makers, researchers and practitioners to anticipate potential barriers to lean implementation and support the existing academic research on lean. Accordingly, the focus on the lean barriers can be prioritized for the better utilization of the available resources for eliminating or minimizing the barriers.

This paper is an original contribution of analysis of the lean barriers in Indian mining industry using the integrated ISM–MICMAC and SEM approach.

The purpose of this paper is to quantify the strengths, weaknesses, opportunities and threats (SWOT) analysis for the Indian coal mining industry using Fuzzy Decision-Making Trial and Evaluation Laboratory.

After obtaining 17 factors from literature and expert opinion, an interview questionnaire was designed and tested to assure the content validity of questionnaire. A group of 15 qualified experts consisting of 4 professors from academic institutions and 11 management professionals from mining sector with substantial experience were consulted.

The result from causal relationship implied that the decision makers should focus on improving the ability of exploitation and production using quality improvement initiative such as lean production, developing research and development units for clean coal technology and working with strong exporters. This study also finds that foreign investment in mining sector is also a main factor that highly influences other factors.

The study is based on personal judgments and the shortage of respondents limits the study to ensure the validity.

The stated strategies both for the government and industry through SWOT analysis could facilitate improved productivity of the Indian coal industry if adopted.

This paper demonstrates a process for quantitative SWOT analysis for the Indian coal mining industry that can be performed even when there is dependence among factors.

Environmental pollution and corresponding adverse health impacts have now become a significant concern for the entire planet. In this regard, analysts and experts are continually formulating policies to reduce environmental pollution and improve natural ecological conditions. To aid in coping with the ecological predicament, a framework has been developed in the present study to inspect the adverse environmental impacts and related health issues of coal mining.

The parameters for this study have been identified through a review of the literature and finalized 23 critical parameters of air, water, land and soil, and noise related to coal mining by consultation with experts from industry and academia. Finally, the parameters have been categorized in accordance with the level of threat they pose to the environment by assigning weight using the Bradley–Terry model considering attitudinal data acquired by a questionnaire survey.

It is found that coal mining has a relatively higher impact on four attributes of “air pollution” (suspended particulate matter [SPM], respiratory particulate matter [RPM], sulfur dioxide [SO₂] and oxides of nitrogen [NO_x]), followed by “land and soil pollution” (deforestation and surface structure diversion), “noise pollution” (vehicle movement) and “water pollution” (water hardness, total solids (TSS/TDS) and iron content). It is also found that raising the air concentration of SPM and RPM results in increased respiratory and cardiopulmonary mortality. Therefore, reducing dust concentrations into the air generated during coal mining is recommended to reduce air pollution caused by coal mining, which will reduce contamination of water and land and soil.

The model built in this study is a hypothesized model that relied on the experts' opinions considering the parameters of coal production only. However, the parameters related to the usage of coal and its consequences have been excluded. Further, only industrial and academic experts were considered for this study; however, they excluded local people, coal mining personnel, policy authorities, etc. Therefore, the study findings might differ in real circumstances. The research can further be reproduced by considering the parameters related to the use of coal and its consequences, considering the opinions of the local people, coal mining personnel and policy authorities.

Categorizing the parameters according to the threat they pose to the environment due to coal mining can help the decision-maker develop an effective policy to reduce environmental pollution due to coal mining by considering the parameters on a priority basis. In addition, the results further help the decision-makers to assess the environmental impact of coal mining and take necessary action.

The study has developed a framework using the Bradley–Terry model to categorize the environmental parameters of coal mining to develop effective environmental policies, which are original and unique in nature.

The purpose of this paper is to integrate drivers of economic performance with environmental management aspects and core managerial functions of the Indian coal mining industry.

For this research paper, primary and secondary data have been used. The primary data were collected through a questionnaire survey which was distributed in the four subsidiaries of Coal India Limited. The validity and reliability of the questionnaire were tested by appropriate statistical techniques. Further, one-sample t-test and multiple linear regression analysis have been used for data analysis.

Testing of hypotheses reveals that there is a high level of integration of environmental management aspects with the seven core managerial functions, namely, production process, distribution process, beneficiation process, quality issues, stakeholders’ interest, health and safety and corporate strategy. Further, the paper identified that there is a positive association between integration of environmental aspects with core functions and the four drivers of economic performance and it is strongly associated with societal-related and risk-related drivers of economic performance. But it is less strongly associated with image-related and efficiency-related drivers of economic performance.

This paper focuses on integrating the environmental management and core functions with key drivers of economic performance in coal mining industry which is one of the most polluting industries of the world. The limitation of the paper is that it is very specific and limited to the coal mining industry.

The paper contributes to the existing work by designing a framework which identifies the key drivers of economic performance and integrating it with the environmental management system of the organisation.

Looks at the use of lubrication in the maintenance of mining equipment through the examination of five case studies of mines from different areas and their consumption of lube oil. Concludes that a suitable management of lubricant consumption plays an important role in production costs and optimization.

The purpose is to identify and evaluate the safety risk factors in the coal mine construction process.

The text mining technique was applied in the stage of safety risk factor identification. The association rules method was used to obtain associations with safety risk factors. Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretative Structural Modeling (ISM) were utilized to evaluate safety risk factors.

The results show that 18 safety risk factors are divided into 6 levels. There are 12 risk transmission paths in total. Meanwhile, unsafe behavior and equipment malfunction failure are the direct causes of accidents, and inadequate management system is the basic factor that determines the safety risk status.

Due to the limitation of the computational matrix workload, this article only categorizes numerous lexical items into 18 factors. Then, the workshop relied on a limited number of experts; thus, the findings may be potentially biased. Next, the accident report lacks a universal standard for compilation, and the use of text mining technique may be further optimized. Finally, since the data are all from China, subsequent cross-country studies should be considered.

The results can help China coal mine project managers to have a clear understanding of safety risks, efficiently carry out risk hazard identification work and take timely measures to cut off the path of transmission with risks identified in this study. This helps reduce the economic losses of coal mining enterprises, thus improving the safety standards of the entire coal mining industry and the national standards for coal mine safety policy formulation.

Coal mine construction projects are characterized by complexity and difficulties in construction. Current research on the identification and assessment of safety risk factors in coal mine construction is insufficient. This study combines objective and systematic research approaches. The findings contribute to the safety risk management of China coal mine construction projects by providing a basis for the development of safety measures.

The purpose of the article is to investigate the role of talent management and employee psychological contract on employer branding and to develop a pragmatic conceptual model while identifying gaps between core concepts.

The archival method was adopted along with systematic review based on Khan et al.’s (2003) five steps of systematic literature review. The systematic review has enclosed published research articles between 1960 and 2022 in fields of human resource management (HRM), brand management and psychology. In total, 260 Articles were initially scrutinized, and 230 were systematically reviewed finally to explore core concepts, identify gaps and model development.

This study explored five gaps among key concepts based on systematic review and linked theories, namely, social exchange theory and signaling theory. A conceptual model has been developed to explore the impact of talent management on employer branding with mediating and moderating role of employee psychological contract.

This study is limited to conceptual model development; nevertheless, there is enormous scope for empirically testing the model related to various global contexts in future studies.

The developed conceptual model is a vibrant contribution for future investigations of impact of talent management on employer branding with mediating and moderating role of employee psychological contract in diverse global contexts in wining “war for talent.” This study endows a momentous input to whole frame of HRM knowledge because it discourses significant knowledge gaps amongst relationships and effects of identified variables, which has not been formerly revealed.