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The purpose of this paper is to establish the structural relationships between the environmental sustainability enablers (ESEs) for the steel supply chain in India and also to classify them on the basis of driving and dependence power with an objective of achieving enhanced environmental sustainability performance.

The ESEs were identified through extensive literature review and discussion held with experts from the Indian steel industry. The interpretative structural modeling (ISM) approach was applied to an Indian steel supply chain to arrange these 12 ESEs in different hierarchies of the structural framework on the basis of their driver dependence power and also diagraph was developed to classify them.

The water pollution control system, air pollution control system and soil pollution control system were found to be in the bottom hierarchy of the ISM framework and these enablers were also observed in the driving quadrant of the diagraph. These driving enablers should be given priority for its full-scale development, management and monitoring to sustain and enhance the environmental sustainability in the Indian steel supply chain, whereas top management commitment, environment compliance certification and government regulation and incentives are the antecedents for carrying out the sustainability program.

The outcomes of the current study are limited to the Indian steel manufacturing company in specific but the results will not change significantly for the steel sectors in India. However, an empirical analysis can be used to explore and validate the structural framework for its acceptability.

The outcomes from the methodology provide the basis for an Indian steel manufacturing industry to develop the right strategy in their quest for environmental sustainability.

Although the study on ESEs of various industries was reported in the literature, the comprehensive study to identify the significant ESEs related to the Indian steel supply chain for environmental sustainability in specific have been hardly carried out. The current study will definitely be a valuable addition to environmental sustainability literature in general and steel supply chain environmental sustainability in specific.

The purpose of this paper is to analyze the Environmental Sustainability Enablers (ESEs) for an Indian steel manufacturing company to select the appropriate set of ESEs for implementing and enhancing environmental sustainability.

A methodology using fuzzy Decision-Making Trail and Evaluation Laboratory (DEMATEL) is proposed to analyze ESEs capturing multiple experts’ qualitative judgments on their mutual impacts. It is applied to an Indian steel manufacturing company to understand the salient features of the concept.

The relevant 18 ESEs were classified into cause and effect group and also interactions (i.e. influencing and influenced) of each ESE with other ESEs were evaluated. It was observed that the five ESEs (i.e. competitors’ environmental sustainability strategy, environmental compliance certification, government regulations and incentives, influence of external factors and air pollution controlling system) are the most prominent in the cause group.

The results obtained are specific to an Indian steel manufacturing company and it cannot be generalized for steel manufacturing sector. However, the current paper can show direction to carry out such work in other manufacturing companies.

The proposed methodology will be helpful for allocating efforts and resources to enhance the impact of ESEs for successful achievement of environmental sustainability.

No such paper has been reported in the literature with an objective to develop structural framework for Indian steel manufacturing company to improve environmental sustainability.

The purpose of this paper is to establish whether all the dimensions of regulatory compliance matter for environmental sustainability practices of manufacturing small and medium entrepreneurial ventures (SMEVs) using evidence from Uganda.

This study is cross-sectional and correlational. Data was collected through a questionnaire survey of 106 manufacturing SMEVs. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 23.

The results indicate that controls, legitimacy and deterrence do matter for environmental sustainability practices of the manufacturing SMEVs in Uganda, unlike social norms and values.

This study fosters the understanding of environmental sustainability practices, as it provides insights on whether all the dimensions of regulatory compliance do matter for environmental sustainability practices of manufacturing SMEVs in Uganda.

The purpose of this study is to integrate the sustainability balanced scorecard (SBSC) framework with decision-making trial and evaluation laboratory (DEMATEL) for proposing a model and identifying the cause-and-effect relationships between the five perspectives of SBSC and then 23 performance indicators within the SBSC framework in a strategy map.

The DEMATEL approach is used to obtain a matrix including direct and indirect influences between the five perspectives of SBSC and among 23 key performance indicators (KPIs). DEMATEL data are gathered from experts to propose a model and establish reliable relationships between performance metrics. Using DEMATEL and the SBSC framework, a strategy map for the SBSC dimensions and KPIs was built to illustrate strategic cause-and-effect relationships among the various dimensions and performance indicators.

The outcomes indicated that internal process and financial perspectives play essential outputs. Sustainability is the most critical predictor (causal) in the model, then customer and learning and growth dimensions, indicating that sustainability, learning and growth and customer dimensions all positively affect other dimensions. Additionally, sustainability has bi-directional in its link to the customer and internal processes and bi-directional in its relationship to finance, learning and growth. Numerous additional linkages are observed among the five SBSC perspectives and KPIs.

The data collected is based on an “average” company in manufacturing sector; thus, companies need to customize this model to ensure that their strategies are clearly translated into KPIs.

The findings gave valuable information to management about manufacturing companies KPIs. They determined which KPIs are regarded as outcome (effect) variables and which KPIs are considered predictor (casual) variables. Additionally, the findings offer management with SBSC perspectives that should be traded as outcomes and those that should be traded as predictors. Additionally, the findings highlighted the critical KPIs and explained their interrelationships. This enables managers to focus on the significant financial besides non-financial indicators and comprehend the logical connection among them.

The results qualify executives and management to analyze and recognize a strategy map by understanding each objective's impacts, including direct and indirect, on all others. The typical analysis comprises determining the strategic objectives that are “cause” and the objectives considered as “effect”. As this study extends the BSC framework to have sustainability perspectives, the results of DEMATEL provide administrators with exceptional information to blend the conventional BSC perspectives with sustainability as added perspective.

The current study proposed an illustration model for strategy map development and also provide an interrelationship among SBSC perspectives.

The topic of Lean Six Sigma (LSS) implementation in a supply chain context is an emerging research stream comprising of diverse objectives and complex processes thereby presenting opportunities for further exploration and organizational process improvement. Thus, this study proposes an integrated multi-criteria decision-making methodology to determine what can facilitate the successful implementation of LSS as an organizational change strategy in the manufacturing supply chain.

The proposed methodology based on Decision-Making Trial and Evaluation Laboratory and hierarchical Evaluation Based on Distance to Average Solution is employed to ascertain the relative importance and priorities of an identified framework of factors with the aid of opinions of managers in the Nigerian plastics industry.

The results show a high significance of institution-based factors (e.g. government regulations) and present relevant implications to the policymakers as well as the managers and practitioners of the plastics manufacturing industry.

This study indicates a possible pathway to accurately evaluate a framework of critical factors to integrate and institutionalize LSS in the manufacturing supply chain for organizational performance improvement.

The objective of this paper is to compare and evaluate the environmental performance of steel supply chains considering relevant environmental loss factors using Taguchi loss function (TLF) and design of experiments (DOE).

The different environmental loss factors in steel manufacturing supply chain were studied and the significant factors were identified. Their combined contributions along the significant factors were estimated using TLF and DOEs comparing environment losses at different scenarios.

The proposed methodology using TLF and DOEs was applied to three Indian steel manufacturing companies (Company A, Company B and Company C). The Company A with minimal average environmental loss score is found to be operating its supply chain with higher efficiency and has better environmental performance compared to the other two companies (B and C).

The results obtained are based on the study carried out in three Indian steel manufacturing companies. Therefore, the results cannot be generalized.

This paper will definitely show the direction for comparative environmental performance assessment of manufacturing industries in general and steel industries in specific considering environmental loss factors and environmental conditions. It determines individual performance across each environmental loss factor and their combined impact.

Although there is a need to have comparative performance analysis with respect to environmental losses among steel companies in developing countries such as India, but hardly any study has been reported in this direction. This work will definitely add the value to the supply chain literature in general and environment losses in steel manufacturing supply chain in specific.

The purpose of this study was to determine how environmentally specific transformational leadership (ETFL), green training (GT) and psychological green climate (PGC) affect environmental passion (EP) of employees which leads to pro-environmental behaviors (PEBs).

The context of the study was set in textile industry of Pakistan which holds a promising future in the international markets as an emerging export-based industry. Using purposive sampling technique, cross-sectional self-report data were collected from the employees of textile exporting firms (n = 239) of Pakistan. Hypotheses were tested using PLS-SEM.

The findings revealed that ETFL and PGC act as important predictors of EP, whereas GT plays no role in influencing EP. EP predicts green behavioral intention (GBI) of employees, in turn, GBI predicts employees' PEBs. Further, mediation analyses revealed that EP and GBI sequentially mediated the link between PGC and PEBs.

The present study is not free from its limitations. First, the study adopted cross-sectional design that prevents the causal inferences which the researcher can make from the population. Second, the present study adopted purposive sampling technique which is a non-probability sampling technique. Third, the constructs of this study were assessed with self-report measures which are associated with social desirability bias (Podsakoff and Organ, 1986) or common-method variance (Podsakoff et al., 2003). Hence, this research suggests on the future direction of research based on these limitations.

As per the results of this study, it is also suggested that managers may focus more on the overall organizational and psychological climate rather than on leadership styles alone. While conducting training, the leaders must pay close attention to training objectives to ensure that they do not lead to counterproductive behaviors.

This research adds to the literature in the area of PEBs at micro-level by focusing on how and why employees engage in PEBs.

The purpose of this study is to develop a methodology for the identification, categorization and prioritization of operational government-supported healthcare supply chain barriers (GHSCBs).

This study develops a theoretical background for identifying and segregating relevant GHSCBs and proposes a 5W2H (a Toyota production system) with fuzzy DEcision MAking Trial and Evaluation Laboratory (DEMATEL) embedded approach to quantify the causal–effect relationships among the identified operational GHSCBs.

Seven GHSCBs (i.e. uncertainty of demand management, lack of continuous improvement and learning, lack of deadline management, lack of social audit, warehousing equipment unavailability, human resource shortage and inadequate top level monitoring) were identified as significant cause group where the government, top management and decision-makers of government-supported healthcare supply chain (GHSC) have to put efforts.

The results obtained are specific to the GHSC of Indian perspective, which could be extended to global context. However, the proposed approach can be a base and provide a platform to understand and analyze the interactions among GHSCBs.

The proposed methodology will show the appropriate areas for allocating efforts and resources to mitigate the impact of GHSCBs for successful implementation of healthcare supply chain.

According to best of the authors' knowledge, this is the first study of operational barrier for GHSC in India in specific. The use of 5W2H embedded fuzzy DEMATEL approach for the development and analysis of the theoretical framework of Indian GHSCBs is unique in barrier literature.

The paper aims to explore how market pressures, upper echelons theory and slack resources interact to affect pro-environmental strategies in an emerging market. Specifically, the authors assess external market factors (consumer concerns, regulatory forces and competitors' concerns) in terms of how they are negotiated through internal resources and company capabilities (top management commitment and discretionary slack) to produce or not produce pro-environmental strategies (environmental corporate strategy and environmental marketing strategy).

A total of 1,000 questionnaires were distributed in the Pakistani manufacturing sector – where energy use and natural resources consumption is intensive. The final 181 useable responses were analyzed using covariance-based structural equation modeling and the PROCESS macro.

The results reveal that regulatory forces and competitors' concerns have both direct and conditional indirect effects on environmental corporate strategy but only conditional indirect effects on environmental marketing strategies through the mediation of top management commitment and at different levels of discretionary slack. However, consumer concerns remain inconsequential antecedents with insignificant direct effects and conditional indirect effects on environmental corporate and marketing strategies through the mediation of top management commitment at different levels of discretionary slack.

The authors propose an integrative model as a functioning mechanism for the environmental strategic decisions of companies in emerging markets. This model relies on both slack resource and upper echelons theories. These findings contribute to a better understanding of the impacts of internal and external determinants and functions on environmental strategies at corporate and functional levels in emerging markets. The various paths to diverse levels of environmental strategy and the insignificant role of consumer concerns suggest a need for further investigation of corporate environmentalism in emerging markets that consider their distinctive legal, societal, market and institutional contexts.

The integration of green business process management (GBPM) to the existing processes of the oil and gas companies (O&G) in the Gulf Cooperation Council (GCC) countries can lower environmental damage in the O&G sector (OGS), which causes more environmental hazards than other sectors. Studies suggest that sustainability remains a challenge for GCC O&G companies. In this context, this study assesses the following enablers and subenablers related to GBPM integration in these companies: strategy, management, people and culture, information technology, methods and governance.

Using data from a survey of 12 strategy experts from four GCC O&G companies and the analytical hierarchy process, this study prioritized the key enablers and subenablers driving GBPM.

Strategy was the highest-ranked enabler, followed by management; governance was the lowest-ranked enabler. Measuring green metrics was the highest-priority strategy enabler, and revising responsibilities and management involvement in strategy development were the highest-priority sub-enablers.

This study recommends O&G companies to invest in optimizing the existing BPM to enhance process-based decision-making, before GBPM integration. The formation of sustainability groups can bring enablers together to improve sustainability performance. Management and governments must reevaluate their commitment to sustainability while developing policies for the GCC OGS.

This study investigated which enablers and subenablers significantly affect GBPM integration in the sector; the results can support researchers and practitioners with the necessary knowledge for future developments.