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This study explores the sustainable supply chain trade-offs in the electronics industry.

The study employs a social media analytics approach and analyses Twitter posts from August 2017 to December 2021. Thematic analysis is applied to discover the pattern in sustainable supply chain trade-offs based on the consumers' perceptions. In addition, a chi-square test was used to measure whether a relationship exists between product groups and sustainable supply chain perceptions.

The results indicate that environmental practices are the most frequent topic among consumers on social media. Further, although basic sustainable supply chain practices are prioritised in the environmental aspect, advanced sustainable supply chain practices take precedence over basic ones in the social dimension. The result from the chi-square independence test reveals that there is no significant relationship between different products and perceptions of consumers except for economically advanced sustainable supply chain practices.

The main implications of the present study are to offer a fast and efficient method to marketers and companies for discovering customer perceptions. In a way, they can identify where the quality of practices needs to improve in their supply chains to gain customer satisfaction. Additionally, the authors suggest industries declare their trade-off preferences between sustainable supply chain practices transparently.

The findings extend the abundance of sustainable supply chain literature by identifying the sustainable supply chain trade-offs among consumer electronics. Also, the reason for customers' dissatisfaction is provided. In the end, six propositions are presented based on the explorations.

The food industry is crucial in delivering healthy products for life saving of the society. The identification of key barriers of knowledge management (KM) is desired to enhance the sustainability of the industry. KM has been seen as a part of sustainable development by reducing the bullwhip effect in the entire supply chain. The core objective of the existing research is to prioritize the essential factors of KM adoption in sustainable supply chain (SSC) based on fuzzy analytical hierarchy process (FAHP) method.

In order to fulfill objectives of this study, an extensive review of literature and a questionnaire-based field visits were conducted. A total of five major barriers categories and 22 sub-barriers categories were identified in food sector of Pakistan using experts' inputs. This study employed fuzzy analytical hierarchy process (FAHP).

Managerial barriers, innovation and technological barriers categories are found to be highly prioritized among others. Further, the sensitivity analysis is applied to check the incremental changes of ranked barriers. This prioritization of barriers and incremental changes in them is expected to serve food sector for long-term sustainability and competitive advantage for importers and exporters. Finally, the findings of this research are very helpful for industrial experts, practitioners, consultants and government officials in effectively developing policies regarding KM adoption in line with sustainable goals.

The present work is conducted in the Pakistani context; however, the benchmark model may be tested and applied to other developing countries to compare the outcomes. For further research, the identified barriers may also be evaluated to establish their inter-relationships, using ISM, DEMATEL, ANP, etc. Similarly, the results of this study can also be compared with that of other fuzzy multi-criteria techniques like fuzzy TOPSIS, fuzzy VIKOR, fuzzy ELECTRE, fuzzy PROMETHEE, or fuzzy VIKOR.

This research study can facilitate policymakers, government bodies, stakeholders and supply chain professionals to recognize the key barriers they may encounter in adopting KM practices in their SSC. Additionally, this work helps managers to evaluate the identified barriers by computing their relative importance in adopting KM practices at managerial levels like strategically, tactically and operationally activities in business. This study also facilitates industrial management in formulating policies and action plans in case of implementation, eliminating the barriers in adoption of KM, and SSC successfully.

Few research studies were conducted on KM adoption in industries of China, India, Turkey, Saudi Arabia and Malaysia, but due to workforce diversity these industries have dissimilar views of experts about KM adoption. This study significantly contributed to fill the existing literature gap for prioritization of key barriers against KM implementation in Pakistani context.

Increasing pressure from the stakeholders makes the inclusion and evaluation of sustainable practices in the service supply chain (SSC) inevitable. Therefore, this paper aims to evaluate the sustainability status of a case organization and discover the barrier to sustainability in the SSC.

From the literature review, five sustainability dimensions, seventeen attributes and sixty-five subattributes of the SSC are identified. A three-level conceptual model drawn on human perception is developed. The overall sustainability status of the SSC is determined by using the multigrade fuzzy logic approach. The fuzzy concept incorporated helps in overcoming the challenges of vagueness and impreciseness in the responses. The case SSC is a WestIndia–based hospital.

The study evaluates the case hospital to be “very sustainable” but far from the “extremely sustainable” level. Six barriers are identified which are reduction in solid waste, compliance with applicable environmental laws and regulations, water usage efficiency, training and education of employees, return on investment and safety equipment for employees. These barriers hinder the hospital from achieving an “extremely sustainable” level.

This paper evaluates, helps the management in identifying the barriers and thus enabling them to work upon these barriers and achieve a greater level of sustainability.

The sustainability practices adopted in this paper for the evaluation of the sustainability status of the SSC have not been used in previous studies. In this study apart from environmental, social and economic aspects, customer management and health, safety and risk management are also incorporated for evaluating the performance of the SSC which makes this study unique. The proposed model can be taken as a benchmark for evaluating the sustainability performance of any SSC.

This study aims to empirically assess the influence of supply chain capabilities and total quality management on sustainable supply chain performance, factoring in the role of leadership and the moderating impact of institutional pressures.

The researchers designed a self-administered survey, garnering responses from 278 participants. Preliminary analyses addressed nonresponse bias, examining assumptions like homoscedasticity and data normality. Confirmatory factor analysis was employed to ensure reliability and construct validity before hypothesis testing. Regression outcomes corroborate all posited assumptions, further strengthening the extant literature.

The research outcomes demonstrate the positive association between supply chain capabilities and TQM and sustainable supply chain performance, particularly under institutional pressure. Data from the cement manufacturing sector further corroborated these findings. This study lends empirical support to the tenets of institutional theory.

The presented model delineates how leadership impacts TQM and supply chain capabilities to amplify sustainable supply chain outcomes. Incorporating institutional pressure as a moderating variable introduces a fresh and enlightening dimension to the discussion.

The literature on knowledge management in sustainable supply chain (KMSSC) has witnessed significant growth in the past two decades. However, a scientometric review that consolidates the primary trends and clusters within this topic has been notably absent. This paper aims to scrutinize recent advancements and identify the intellectual underpinnings of KMSSC research conducted between 2002 and 2022.

The present review employs a scientometric analysis approach via visualization maps of prolific contributions, co-citation, co-occurrence and thematic networks to examine a total of 114 articles and conference papers on KMSSC.

Emerging research frontiers and hotspots are revealed and a state-of-the-art framework of KMSSC research structure is developed.

The review provides significant implications that guide KMSSC research and better inform sustainability decisions in the supply chain context.

To the best of the authors' knowledge, this is the first review to thoroughly synthesize the intersected domain of KMSSC using scientometric analysis.

The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).

The present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.

The authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.

The authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.

The authors explore the impact of an emerging technology, blockchain technology, on diverse governance mechanisms and sustainable supply chain practices and how its relationships with the linkage of these elements.

The methodology incorporates a literature review and a qualitative empirical analysis of the Electronic Product Environmental Assessment Tool (EPEAT) standards. Expert opinions from various firms and organizations within the electronics sector are assessed. Through a thematic analysis, the relationships are identified and examined.

Data immutability, transparency and traceability capabilities of blockchain technology enhance the relationship between environmental standards and ecological supply chain sustainability practices. Although immature, the blockchain can influence the governance of supply chain sustainability practices. Immaturity of technology, lack of expertise, sharing information and trust have delayed adoption.

There is limited empirical evidence regarding blockchain's impact on governance mechanisms, specifically hybrid public-private mechanisms and sustainable supply chain practices. The study further evaluates how particular blockchain features may exert varying influences on these aspects and different sustainable supply chain traits. As an exploratory study, it proposes new areas for further research, including how blockchain's traceability function can improve sustainability standard adoption. Additionally, there is a call for integrating blockchain with technologies like IoT and sensors which may influence supply chain governance mechanisms, standards and sustainability practices.

The purpose of this paper is to develop the body of knowledge in the area of sustainable supply chains by providing a critical literature review in the field of sustainable supply chain performance measurement (SSCPM) and suggesting paths for future research.

At a macro level, the evolution of the research field is analysed with the use of citation and co-citation analysis techniques. Further, the evolution of research on performance measurement (PM), supply chain PM, sustainability measurement and SSCPM is presented so as to highlight the criticalities of the research field.

The paper highlights a research field that is immature, but is growing very fast. Moreover, key issues are highlighted in order to help scholars in planning future research.

The research presented in this paper is mainly limited to work that is referred directly with PM, operations management and supply chain management. Related research, such as literature on strategy or accounting has only been partially considered, even if future researches could include it.

Research in this area is receiving large attention from both academic and practitioners due to the significant relevance of the sustainability debate and the key role of supply chains in this discussion. The body of knowledge is yet immature, and the paper provides an updated state of the art, a critical analysis of the available literature and guidelines for future research.

Sustainability in supply chain is gaining attention in recent years due to environmental concern, enforced legislation, green issues, social responsibility, etc. Sustainable supply chain (SSC) has revolved around the various dimensions including economy, environment and societal factors since its inception. The purpose of this paper is to identify, prioritize and evaluate the indicators of SSC so that organizations can cultivate strategies to implement them on priority.

This paper proposes a methodology based on fuzzy analytic hierarchy process to prioritize the indicators of SSC. A numerical analysis of Indian automotive industry is presented to demonstrate the use of the proposed method. This proposed method considered fuzzy framework that can handle impreciseness and uncertainty. Sensitivity analysis is also performed to test the robustness of the proposed model.

Potential indicators are identified from relevant literature and validated by industry experts. This research finalizes the SSC indicators under three dimensions so that prioritization of identified indicators can be developed and the insights relationship of factors would be explored. The results of the study found that environmental and social dimensions of sustainability contribute more toward the sustainability.

This study is limited to identify evaluation factors and other factors have not been identified and categorized. Evaluation is done by experts in this area so it is natural that views of decision makers may be subjective and vary with regard to industry type, priorities, resources, etc.

This study will help industry to identify, evaluate and prioritize factors for successful implementation of sustainability in their supply chain. Automotive companies could device these factors by applying the outcome of the study in their operations with higher priority to integrate sustainability in their supply chain.

These factors are identified to implement sustain ability into supply chain practices for automotive industry.

In reaction to the environmental challenge, many firms are looking for the ways how to integrate sustainability into their operations, business models and strategies. Very often sustainable initiatives go beyond the boundaries of a focal firm engaging a wide variety of partners within the supply chain. In conditions of countries with institutional deficiencies and voids such as emerging economies, the task of sustainability integration is challenging as many critical conditions needed for sustainability development are missing. To understand how firms can integrate sustainability initiatives in their supply chains under the conditions of environmental uncertainty, this paper aims to investigate firm-level and supply chain drivers that stimulate sustainability implementation in Russian firms.

Using the sample of 273 large Russian firms the paper explores how firm-level drivers such as innovativeness, risk-taking and internationalization, as well as collaboration and integration in the supply chain are related to sustainability performance and sustainability transformation in supply chain. The hypotheses are tested using regression analysis and the bootstrapping technique.

The study indicates the positive association between sustainability performance and sustainability transformation of the firm and such strategic drivers as a firm’s innovativeness and internationalization. The positive moderating effect of environmental uncertainty was found for innovativeness indicating that innovative firms show better sustainable performance in the supply chain under uncertain conditions. Also, the findings indicate that environmental uncertainty positively moderates the relationships between a firm’s transformation for sustainability, its internationalization and supply chain integration and coordination.

The obtained results contribute to a better understanding of mechanisms that drive firms’ sustainability performance and transformation in conditions of emerging markets. The paper provides an adaptation and empirical testing of Silvestre’s (2015) theoretical model for sustainable supply chain management in emerging economies.