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The transportation sector is frequently criticized for its adverse environmental impacts. Industrial managers and decision-makers in the transportation sector have difficulty embracing sustainable transportation. Taking this difficulty into consideration, this study intends to locate and evaluate the enablers of sustainable transportation.

Using the Pareto analysis, the study finalized 20 enablers from the list of 25 enablers. The finalized enablers are prioritized, and their causal inter-relationships are revealed using the grey-decision-making trial and evaluation laboratory (grey-DEMATEL) method. A sensitivity analysis is performed to determine the influence of experts' weight in the final results.

Findings reveal enhancement of cross-departmental cooperation, decision synchronization, technology cooperation, policy cooperation and route optimization as the five most critical enablers of sustainable transportation. Based on the results, the study proposes some policy implications for the decision-makers to proactively incorporate sustainability concepts.

This paper is the first of its kind to evaluate the enablers of sustainable transportation in the Indian leather industry. This paper proposes a comprehensive list of enablers of sustainable transportation and reveals their causal interrelationships using grey-DEMATEL. The weight of the provided enablers will help the industrial managers to more proactively take sequential actions to incorporate sustainable transportation.

This study aims to find and evaluate the impact of COVID-19 in India’s mining activities. From the literature survey and input from experts, 14 important factors and ten green recovery strategies are identified. These 14 factors and 10 strategies are examined in a real industrial environment.

In this research study, fuzzy-complex proportional assessment is used to compare the identified strategies with the selected factors. Based on the outcome, this study identifies the optimum strategy that could assist the mining industry in handling both COVID-19 and sustainability issues.

The study’s outcome reveals that a large group of workers, collapse of demand and disruption, and suffered contractual workers are the top three factors that need to be considered regarding COVID-19 and sustainability issues. Effective strategies for eco-innovation practices, an emphasis on health and safety, and environmental awareness, education and training are the three primary strategies to be implemented for the greatest impact.

This research study is the first of its kind to coordinate both issues of COVID-19 and sustainability. In this regard, this study sheds a timely light on the precautions that need to be taken in tackling COVID-19 and sustainability issues. This study’s outcome will enhance the managerial capability in developing robust and effective strategies for handling difficult situations.

Industry 4.0 (I4.0) not only turns traditional industrial activities upside down but also demonstrates its potential to enhance industrial competitiveness and productivity. In this context, technological advancement and I4.0 is a strategy to be pursued. This study aims to consider different I4.0 technologies by analysing Indian small and medium enterprises (SMEs).

Key factors and promising I4.0 technologies were selected using literature analysis and experts’ panel. The appropriate I4.0 technology for Indian SMEs is recommended using the fuzzy complex proportional assessment (COPRAS) method.

Results reveal that ability to expand IT infrastructure, change in the organization’s structure and the capacity to analyse key performance indicators as three crucial key factors in I4.0 implementation. In particular, the smart factory is identified as a better I4.0 for Indian SMEs.

This work has analysed Indian SMEs, but it is appropriate for other developing economies with limited technical resources, financial resources and inadequate skill sets. This work identifies a gap in the current literature, and the findings proposed by this work are oriented to assist decision makers, industrial managers and practitioners in selecting I4.0 technology and enhancing the industrial infrastructure. At the same time, cooperation between the government and industrial community is required to develop programmes for imparting the knowledge of I4.0 among SMEs. The framework used in this study will arm the industrial management in adopting I4.0.

In Bangladesh, the chemical industry is one of the expanding industries based on current statistical data analysis. Green supply chain management (GSCM) is pivotal in order to compete with the global competition. This paper main aim is to discuss a systematic approach to build a structural outline. The purpose of the proposed structural outline is to predict the constructive implementation of GSCM especially on chemical industry in Bangladesh.

This proposed structural framework evaluates the suitable interrelationship next to the barriers of GSCM in the Bangladesh's chemical industry. Here, on the basis of literature review and survey from expert opinions by the use of the Delphi methodology in total eight barriers were concluded. Here additionally, MICMAC analyses were applied to determine the driving and dependence power. Furthermore, the frameworks outline for the barriers were included by means of total interpretive structural modeling (TISM) method.

Based on the analysis, the most significant barriers were found lack of supporting laws and guidance from the government and cost of disposal of hazardous products.

The TISM technique only has implemented to develop the framework, whereas other tools or structural equation modeling (SEM) technique can be used to develop and validate the frameworks for barriers.

In this research, Delphi method questionnaire generated based on the GSCM in the Bangladesh chemical sector. This study will assist the industrial managers to assess and evaluate the crucial sectors, whereas they should give priority to apply the GSCM in the Bangladesh chemical industry.

The purpose of this paper is to explore organizational and human factor-related challenges to information technology (IT) service management standard ISO 20000 in an emerging economy context. Then, this research has proposed some implications of the challenges to implementing environmental sustainability and circular economy.

To fulfill the research purpose, an empirical study was undertaken. The data required for the current study, based on a Likert scale and using questionnaires, were collected through surveys, interviews, telephonic conversations and meetings with IT firm managers and staff. The ranking of challenges was obtained based on the mean and standard deviation calculated from the survey responses.

The results indicated that senior management support was the most significant challenge for the successful implementation of IT Service Management systems. Other significant challenges were the justification of significant investment, premium customer support, co-operation and co-ordination among IT support teams, proper documentation and effective process design.

The current research is expected to help IT managers implement ISO 20000 and to manage environmental sustainability and circular economy across their organizational networks.

To the best of the authors’ knowledge, the current study is the first attempt to explore the organizational and human factor-related challenges to ISO 2000 in an emerging economy context. Furthermore, the current study proposes implications to the challenges to environmental sustainability and circular economy.

Previous studies on hospital supply chain performance have attempted to measure the performance of the hospital supply chain either by the measurement of performance indicators or the performance of specific activities. This paper attempts to measure the internal hospital supply chain's performance indicators to find their interdependencies to understand the relationship among them and identify the key performance indicators for each of those aspects of the logistics process toward improvement.

In this research, a systematic assessment and analysis method under vagueness is proposed to assess, analyze and measure the internal health care performance aspects (HCPA). The proposed method combines the group Decision-Making and Trial Evaluation Laboratory (DEMATEL) method and rough set theory.

The study results indicate that the most critical aspects of hospital supply chain performance are completeness of treatment, clinical care process time and no delay in treatment.

The causal relationship from rough-DEMATEL can advise management officials that to improve the completeness of treatment toward patient safety, clinical care process time should be addressed initially and with it, patient safety aspects such as free from error, clinical care productivity, etc. should be improved as well. Improvement of these aspects will improve the other aspects they are related to.

Green human resource management (GHRM) is an arising issue for the tannery industry in the context of developing economies. As the tannery industry can be seen as one of the highest polluting industries on earth, it becomes imperative for the industry to implement GHRM practices for greening the workforce. In this context, the purpose of this paper is to focus on antecedents that will support the implementation of GHRM practices in the tannery industry supply chain.

In this study, an expanded literature review was organized to establish antecedents for implementing GHRM practices. The total interpretive structural modeling (TISM) technique is employed to explore interactions among the identified antecedents. Furthermore, Matriced Impact Croises Multiplication Applique analysis was conducted for determining the driving-dependence power of each antecedent.

The results revealed that “green selection facility,” “green recruiting facility,” “green organizational culture,” “green purchasing,” “green strategy towards ES,” “regulatory forces towards ES” and “top management commitment towards greening the workforce” are the key antecedents for the exercise of GHRM practices in the tannery industry.

The proposed model might support decision makers to understand the interactions among the antecedents of GHRM practices. This model will help managers to understand the impact of one antecedent on another prior to the implementation of GHRM practices in the tannery industry.

In this study, the author(s) propose a new version of the interpretive structural modeling approach (ISM), named the TISM technique, for determining the contextual interactions between GHRM initiative antecedents that are very new in the existing literature.

Bangladesh's ready-made garment (RMG) industry plays a vital role in the economic growth of this country. As the global trend in the fashion market has introduced a high-mix, low-volume ordering style, manufacturers are facing an increased number of changeovers in their production systems. However, most of the Bangladeshi RMG manufacturers are not yet ready to respond to such small orders and to improve the flexibility of their production systems. Consequently, the industry is falling behind in global market competition. Thus, this study aims to advance the current performance of RMG manufacturing operations to respond to the fast-fashion industry's challenges effectively using quick changeover.

In this study, a Single-Minute Exchange of Dies (SMED) is applied to attain quick changeover following the best practices of lean manufacturing.

This study examined the performance of the SMED technique to reduce changeover time in two case organisations. The changeover time was reduced by 70.76% from 434.56 min to 127.08 min and 42.12% from 2,664 min to 1,542 min for the case organisations, respectively. The results of this study show that companies require improved changeover times to address the demand for high-mix, low-volume orders.

This study will certainly guide practitioners of the RMG industry to adopt SMED to reduce changeover time to meet small batch production.