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The desire for firms to gain competitive advantage and improve performance has resulted in the adoption of several practices. Green supply chain practices (GSCPs), just in time (JIT) and total quality management (TQM) are some of the practices adopted by firms to improve operational performance (OP) and business performance (BP). This study examines the direct influence of GSCPs, JIT and TQM on operational performance and BP. The study further analyzes the synergy of GSCPs, JIT and TQM on OP and BP.

This study employs the quantitative approach of research by using questionnaire to gather data from manufacturing managers and supply chain managers of 140 manufacturing firms in Ghana. The research uses partial least square structural equation modeling (PLS–SEM) to analyze the survey data.

The results of the analysis show that GSCPs, TQM and JIT positively influence both OP and BP. The findings reveal that GSCPs combine with JIT and TQM to improve OP and BP significantly. However, the synergy between green supply chain and TQM creates more value for both OP and BP than the synergy between GSCPs and JIT.

The study proposes a research model that examines both the individual and combined influence of GSCPs, TQM and JIT on both OP and BP from the developing country perspective. The study models GSCPs as an antecedent of JIT and TQM, which has not been explored.

This paper investigates the current state of green supply chain practices (GSCPs) and also introduces a framework for the implementation of GSCPs in India.

A case study approach was used for this research in which semi-structured interviews were conducted with three companies. These companies were automobile component manufacturing companies.

In the three case studies, there were different antecedents depending upon the specific company structure and organization. The ten GSCPs were used as a base for finding the antecedents.

Although every step has been taken to ensure the rigour and reliability of case studies, in a field as complex as GSCPs, there are inevitably some limitations. Due to the limited size of the case study approach, the results can only be generalized to a similar size and types of organization. The scope of data collection for all three case studies was the same, but the quality of information gathered varied. As demonstrated earlier, a good-quality cross-case analysis was still possible, but the relative strengths of the three cases varied.

A double contribution has been made to test the theory of GSCPs from a process and output perspective. From a process perspective, a contribution has been made to methodology by developing a robust approach for conducting supply chain research beyond the dyad. From an output perspective, the author has the empirical results from the three individual case studies and their cross-case comparison for dissemination to an academic audience.

The outputs of this research work will pave a path for other automobile component manufacturing companies in India to address and implement GSCPs.

This study aims to identify and recognize the interrelationship between green supply chain practices (GSCPs) and analyze the effect of GSCPs on green supply chain management (GSCM) implementation on the premise of driving and dependence power of GSCPs.

This research identifies twenty GSCPs with the consultation of the team of industry practitioners and academicians. Interpretative structural modelling (ISM) is applied to develop the relationship between GSCPs, which gives the direct and indirect effects of each GSCPs. The result obtained from ISM is used as an input for Fuzzy matriced impacts croises multiplication appliquee a un classement (Fuzzy MICMAC) to identify the driving and dependence power of GSCPs.

An integrated model has been established using ISM and the Fuzzy MICMAC method to categorize the GSCPs. It reveals the direct and indirect effect of each GSCPs on the execution of GSCM. The result shows that driver GSCPs have deliberate importance because of their driving power and dependent GSCPs are more performance-oriented.

ISM model and fuzzy MICMAC analysis depends on the judgment of the professional's team from a single industry. These opinions may be subjective judgments of the experts and any biasing may influence the final result.

This study gives significant guidance to industry practitioners and academicians. Industry practitioners need to concentrate on these most significant GSCPs for the successful implementation of GSCM. They must also plan for the growth of GSCM by concentrating on all GSCPs. On the other side, academicians may be motivated to categorize other issues which are essential for GSCPs.

In this research, an effort has been made to identify the significant GSCPs for GSCM implementation on a single platform. A huge literature is available on GSCPs, but none of the researchers paid attention to model these GSCPs using ISM and fuzzy MICMAC.

The purpose of this paper is to assess the relationship between five green practices and firm performance. In addition, this paper investigates the influence of each green practice on environmental performance, economic benefits, and economic costs.

Data were collected based on a cross-sectional survey of owner/managers of 200 manufacturing SME firms in Uganda, Africa. SPSS was used to find descriptive means and test relationships between green practices and performance outcomes. Structural equation modelling was used to test for the influence of each practice on performance outcomes. The structural equation modelling results were obtained using the Covariance-Based Structural Equation Modelling software. Results were compared with similar studies conducted in developing countries.

Different green practices affect different performance dimensions in different ways across different industries. For example, eco-design and internal environmental management practices significantly influence environmental performance; green purchasing and internal environmental management practices significantly influence economic benefits; and internal environmental management practices affect economic costs. Overall internal environmental management is the key to positive outcomes across the three performance criteria. The authors show how the results obtained vary from similar studies conducted in developing countries and explain possible reasons for the difference.

Africa is a rapidly industrialising nation faced with difficult choices between economic growth and increased pollution. Because SMEs represent the majority of manufacturing firms, they are the main polluters. Hence, better understanding of the costs and benefits, both environmental and economic, is important to encourage green practice adoption for the betterment of community health and prosperity.

Despite numerous studies on the relationships between green practice adoption and performance outcomes, only a few studies include both economic costs and benefits in addition to environmental performance. The study covers five green supply chain practices, whereas most similar studies are limited in the number of practices examined. The African context is unique and important because industrial development and environmental protection goals are in conflict. Similar studies are predominant in an Asian context which is more developed than Africa. The findings and comparisons raise important questions for further research in relation to the roles of national regulations, geographical markets and industry types in furthering green practices in manufacturing.

The purpose of this conceptual paper is to explore the connection between green supply chain practices (GSCPs) and sustained business advantage from an emerging market perspective. Research on the phenomenon is limited in developing countries where green supply chain (GSC) concepts are now increasingly gaining ground. The study also attempts a general literature review to examine the mediating role of effective environmental benchmarking and leadership factors on the relationship. It further provides insight on the moderating effect of constructs such as people involvement and customer preferences.

Separate searches were conducted in key academic databases such as Emerald Online Journals, Taylor and Francis Online Journals, JSTOR Online Journals and Elsevier Online Journals. Also, version 7 of the Publish or Perish software was used to search for paper focused on GSCPs and sustainability. In total, 19 articles met the predefined criteria and were used.

The results from the synthesis of the reviewed literature shows that despite the fact that leadership factors mediates the positive relationship between GSCPs and sustained business advantage, research on supply chain (SC) leadership as a construct is limited and requires further empirical research.

Some limitations must be considered and could provide guidance for future study; this study did not collect data to test the proposed model. Moreover the study hypotheses proposed need to be tested to validate the model proposed.

This research by promoting an understanding of how GSCPs impacts the activities of buying and supply organizations in emerging markets. Findings on the leadership factors and people involvement constructs will assist SC operators in emerging markets to tap the tremendous potential inherent in participatory SC approaches to remain competitive and acquire sustained business advantage.

The study offers opportunity for empirical testing of the mediating (effective environmental benchmarking and leadership factors) and moderating (people involvement and customer preferences) variables in an emerging market context as this could provide fresh insights on the complexity of the relationships.

The purpose of this research is twofold: first, to investigate the impact of the adoption of green supply chain practices (GSCPs) on various parameters of competitive operational capabilities; second, to investigate the parameters that influence the market performance.

Structural equation modeling analysis was done based on the collected data through a self-administrated questionnaire from managers of 120 manufacturing firms.

In this study, we suggest that the relationship of GSCPs is positively related to all competitive operational capabilities. Further, we recommend that operational capabilities are directly related to market performance.

This paper investigates the relationship between GSCPs, Operational Competitive Capabilities and market performance, a relatively unexplored area in the developing economy. Moreover, it also adds value to the nascent literature on GSCPs in developing countries.

The objective of this paper is to investigate the effect of supply chain quality integration (SCQI) and green supply chain practices and their impact on the Triple bottom line (TBL) in driving sustainability performance.

Structural equation modeling of partial least squares was used to study the relationships between SCQI and green supply chain practices (GSCPs) in driving sustainable performance and is empirically tested using data from 167 manufacturing firms.

This study reveals that supply chain quality integration (SCQI) enhances the green purchasing activity as well as the implementation of internal environmental management (IEM) of the firm. However, IEM is a crucial factor that contributes to sustainability performance.

This study is one of the few relevant researches that would benefit manufacturing organizations to further improve their triple bottom line by integrating supply chain quality with green practices.

Because of the emergence of technological development, firms (i.e. small and medium enterprises (SMEs)) adopt innovative cost-reduction strategies to improve their processes. Therefore, the adoption of green supply chain practices (GSCP) is critical for SMEs to enhance their business process performance (BPP). This paper aims to investigate how GSCP directly and indirectly (via BPP) influences firm manufacturing performance using the resource-based view as a theoretical base. This research also pursues to examine the mediation mechanism of BPP in the linkage between GSCP and SMEs performance in manufacturing SMEs.

Using the survey method, the authors recruited 407 textile SMEs executives and validated the proposed model and relationships in AMOS.

The outcomes confirm that GSCPs are positively related to BPP and SME performance, and BPP significantly mediates the association between GSCP and SME performance.

The outcomes help SME executives to minimize operational costs, save time and reduce wastage by implementing GSCP in their manufacturing processes. SME executives can improve their internal business processes for attaining the best firm performance.

This research provides a healthy workplace to employees by improving business processes performance, enhancing brand image, increasing employee morale and decreasing production wastage.

This research theoretically and empirically contributes to explore the impact of GSCP on textile SME performance, which was unexplored in strategic green supply chain and performance management literature. Furthermore, this is the first study that explores the mediation mechanism of BPP between GSCP and SMEs performance.

The rise of the coronavirus disease 2019 (COVID-19) pandemic has enabled researchers and industry professionals to reinvent their strategies for basic economic understanding. Two years after the outbreak of the pandemic, businesses are now trying to adapt to the impact it has brought, hoping to receive support as it did in the past. However, before this feat can be accomplished, it is imperative to understand the recovery hurdles created by the pandemic. This research aims to fill the literature gaps by examining the challenges during recovery within the creative small and medium-sized enterprise (SME) industry, as there are few relevant studies that focus on this field.

Through a methodical bibliometric literature review and network analysis, the paper intends to critically explore relevant recovery challenges within the field while providing answers to the appropriate research questions. A total of 43 articles were selected for an in-depth review. Using the analysis from the selected articles as a guide, a framework was developed to address the recovery challenges alongside the recommended propositions.

The findings from this paper suggest that a lack of synergy among four major categories (governmental, supply chain, organizational and stakeholders) contributes to recovery challenges within the field of research.

The review also offers clarification in understanding the current and upcoming trends within the creative industry, SMEs and COVID-19. This paper can thus help researchers, industry practitioners and managers discover and analyze the recovery challenges brought about by the COVID-19 pandemic.

The purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).

First, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.

The segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”

In literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.

This paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.