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The study examined a wide range of proactive supply chain practices to demonstrate a cross-linkage among them and to understand their effects on both practitioners of previous decision-making models, frameworks, strategies and policies. Here, six supply chain practices are empirically evaluated based on 28 constructs to investigate a comprehensive model and confirm the connections for achieving performance and competence. The study presents a conceptual model and examines the influence of many crucial factors, i.e. supply chain collaboration, knowledge, information sharing, green human resources (GHR) management and lean-green (LG) practices on supply chain performance.

Structural equation modeling (SEM) examines the conceptual model and allied relationship. A sample of 175 respondents' data was collected to test the hypothesized relations. A resource based view (RBV) was adopted, and the questionnaires-based survey was conducted on the Indian supply chain professionals to explore the effect of LG and green human resource management (GHRM) practices on supply chain performance.

The study presented five constructs for supply chain capabilities (SCCA), five constructs for supply chain collaboration and integration (SCIN), four constructs for supply chain knowledge and information sharing (SCKI), five constructs for GHR, five constructs for LG practices (LGPR) and four constructs for lean-green SCM (LG-SCM) firm performance to be utilized for validation by the specific industry, company size and operational boundaries for attaining sustainability. The outcome emphasizes that SCCA positively influence GHRM, LG practices and LG supply chain firm performance. However, LG practices do not influence LG-SCM firm performance, particularly in India.

The study exploited multiple practices in a conceptual model to provide a widespread understanding of decision-making to assist in developing a holistic approach based on different practices for attaining organizational sustainability. The study stimulates the cross-pollination of ideas between many supply chain practices to better understand SCCA, SCIN, SCKI, GHRM and LG-SCM under a single roof for retaining organization performance.

There is limited knowledge of the sustainable halal food supply management in Brunei Darussalam (Brunei), although it is reputable in the halal economy and advocates the United Nations (UN) Sustainable Development Goals (SDGs). Therefore, this paper highlights issues faced in a small, rentier halal market and proposes sustainable supply chain management (SSCM) initiatives for halal-certified food companies in Brunei.

This paper draws data from published academic research and employs a normative and narrative assessment of SSCM and halal supply chain literature.

Four normative SSCM initiatives and propositions that could be implemented by Brunei halal-certified food businesses in achieving the SDGs are highlighted: responsible sourcing, environmental purchasing, sustainable packaging and green transportation.

This viewpoint paper provides a basis for achieving the “Brunei Vision 2035” through a sustainable supply chain lens that may increase well-being and develop a productive and sustainable economy. It also lays a foundation for realising the SDGs, specifically Goal 12 of Sustainable Consumption and Production.

The dedicated attention to smaller halal markets, such as Brunei, would enrich the literature, reveal unforeseen issues or address gaps in the domains of SSCM and halal food supply chains.

The advancements in internet technologies and the use of sophisticated digital devices in supply chain operations incessantly generate enormous amounts of data, which is termed as big data (BD). The BD technologies have brought about a paradigm shift in the supply chain decision-making towards profitability and sustainability. The aim of this work is to address the issue of implementation of the big data analytics (BDA) in sustainable supply chain management (SSCM) by identifying the relevant factors and developing a structural model for this purpose.

Through a comprehensive literature review and experts’ opinion, the crucial factors are found using the PESTEL framework, which covers political, economic, social, technological, environmental and legal factors. The structural model is developed based on the results of the total interpretive structural modelling (TISM) procedure and MICMAC analysis.

The policy support regarding IT, culture of data-based decision-making, inappropriate selection of BDA technologies and the laws related to data security and privacy are found to affect most of the other factors. Also, the company’s vision towards environmental performance and willingness for material and energy optimization are found to be crucial for the environmental and social sustainability of the supply chain.

The study is focused on the manufacturing supply chain in emerging economies. It may be extended to other industry sectors and geographical areas. Also, additional factors may be included to make the model more robust.

The proposed model imparts an understanding of the relative importance and interrelationship of factors. This may be useful to managers to assess their strengths and weaknesses and ascertain their priorities in the context of their organization for developing a suitable investment plan.

The study establishes the importance of BDA for conservation and management of energy and material. This is crucial to develop strategies for enhancing eco-efficiency of the supply chain, which in turn enhances the economic returns for the society.

This study addresses the implementation of BDA in SSCM in the context of emerging economies. It uses the PESTEL framework for identifying the factors, which is a comprehensive framework for strategic planning and decision-making. This study makes use of the TISM methodology for model development and deliberates on the social and environmental implications too, apart from theoretical and managerial implications.

Food sustainability is a world-acknowledged issue that requires urgent integrated solutions at multi-levels. This study aims to explore how food firms can improve their sustainability performance through digital traceability practices, considering the mediating effect of sustainability-oriented innovation (SOI) and the moderating effect of supply chain learning (SCL) for the food supply chain therein.

Hierarchical regression with a moderated mediation model is used to test the proposed hypotheses with a sample of 359 food firms from four provinces in China.

Digital traceability has a significant positive impact on the three pillars of sustainability performances among food firms. SOI (product innovation, process innovation and organisational innovation) mediates the relationship between digital traceability and sustainability performance. SCL plays moderating roles in the linkage between digital traceability and both product and process innovation, respectively.

This paper contributes as one of the first studies to develop digital traceability practices and their sustainability-related improvements for Chinese food firms; it extends studies on supply chain traceability to a typical emerging market. This finding can support food sustainability practice in terms of where and how to invest in sustainability innovation and how to improve economic, environmental and social performance.

To critically examine the holistic implementation of green supply chain management (GSCM) practices in entrepreneurial ventures in Thailand.

The study observed 121 organizations (or respondents) covering 13 industries from both the public and private sectors. The research process started with a semi-structured interview and observation, followed by focus group interviews. The data collected were then analyzed using content and thematic analysis methods.

Respondents (chiefly entrepreneurial ventures) have good eco-knowledge. Most have more than 3–10 years of experience implementing eco practices that have significantly reduced their eco-impacts and costs. The study also revealed that firms’ directors developed environmental management systems (EMS) and cultures of their firms. This study rejected previously held beliefs that factors including country, firm size, industry type, years of activity and certification, impact both positively and negatively on green performance. However, the influence of top management, green entrepreneurial orientation (GEO), respondents’ different perceptions of the GSCM boundary and the COVID-19 pandemic have impacted the success of GSCM’s implementation.

The COVID-19 pandemic obstructed observing GSCM implementation at the respondents’ workplaces. This could reduce the validity of the research, as all evidence obtained was selectively provided by the respondents, not the researchers.

New practitioners are encouraged to focus on green logistics (GL) at a firm level as opposed to the broader supply chain. Effective GL practices recommended utilities usage reduction, reuse/recycle waste and green procurement.

GSCM researchers should focus on patterns of over-consumption, over-trading and relevant institutions that cause environmental unsustainability, rather than specific units in supply chains. The Buddhist sustainable sufficiency concept should be considered as a viable lens to analyze GSCM as it complements existing theories.

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.

An increasing number of last mile deliveries (LMDs) pose many sustainability challenges that retailers and logistics service providers (LSPs) can address. Using cognitive frames (CFs) as a lens, this study explored how retail and LSP managers make sense of sustainable LMDs.

The methodological approach used is a multiple embedded case study. The data were obtained from interviews with retailers and LSPs, supplemented with secondary data for triangulation.

The findings present the operational aspects of LMDs that managers associate with sustainability and indicate that retail and LSP managers frame sustainability primarily as emission reduction. Managers indicate an externalization of responsibility and a compartmentalization of the supply chain, in which social sustainability is not associated with the last mile. Most managers indicate hierarchical CFs regarding sustainability, in which sustainability is an important topic but is subordinate to economic interests.

Collaboration between retailers, LSPs and other stakeholders is viewed as challenging but could alleviate some of the sustainability shortcomings and aid in the paradoxical framing and inclusion of social issues.

A conceptualization of managerial CFs for sustainable LMDs, together with empirical frame indicators and three propositions, is presented, providing novel insights into how paradoxical CFs could make LMDs more sustainable. This approach illuminates the possibilities for how to untangle the operational manifestations of managerial framing and adds to the empirical exploration of CFs in supply chain management.

The purpose of this study is to explore the antecedents of uncaptured sustainable value and strategies to generate opportunities to capture it in the circular supply chain of post-consumer used clothing.

This study is based on an inductive analysis of 21 semi-structured interviews conducted with various stakeholders in the circular clothing supply chain (for-profit and not-for-profit) using the value mapping approach, as previously applied in the literature on sustainable business models.

Fifteen antecedents of uncaptured sustainable value, and thirteen value opportunity strategies were revealed that hinder or generate multi-dimensional value types. Economic value is impacted the most, while there is lack of explicit understanding of the impact of these antecedents and strategies on environmental and social value capture. From a multi-stakeholder perspective, the ecosystem is emerging as new for-profit actors are developing novel process technologies, while not-for-profit actors are consolidating their positions by offering new service options. There is also an emerging “coopetition” between the different stakeholders.

More granularity in the different types of uncaptured value could be considered, and external supply chain stakeholders, such as the government, could be included, leading to more detailed value mapping.

This research provides practitioners with a value-mapping tool in circular clothing supply chains, thus providing a structured approach to explore, analyse and understand uncaptured value and value opportunities.

This extended value perspective draws upon the value-mapping approach from the sustainable business model literature and applies it in the context of the circular clothing supply chain. In doing so, this research illustrates circular clothing supply chains in a new way that facilitates an improved understanding of multi-dimensional and multi-stakeholder value for embedded actors.

Organizations are faced with increasing pressure to engage in sustainable development. There is an ongoing discussion on how to incorporate green thinking into lean management systems. This study aims to investigate configurations of lean and green supply chain management (GSCM) practices associated with high environmental performance.

The study uses survey data from a sample of Portuguese manufacturing firms and apply fuzzy-set qualitative comparative analysis to examine the data. This configurational technique allows to capture the synergetic effect of lean and GSCM practices and identify distinct combinations leading to the outcome of interest.

Seven configurations of lean and green practices are associated with high environmental performance. The implementation of lean practices is required in all configurations. Analysis of alternative combinations reveals trade-offs between lean initiatives and environmental goals. Four configurations require low level of implementation of pull production. In one configuration, high environmental performance is achieved with low implementation of statistical process control and without lean employee involvement.

This study expands the literature on lean management by identifying different strategies to integrate lean and GSCM practices to achieve high environmental performance.

The findings suggest different strategies to achieve high environmental performance. Managers need to selectively implement lean and green supply chain practices to achieve the desired combinatorial effect, which may require not to implement specific lean practices.

The study demonstrates the synergetic effects of lean and green practices on environmental performance using a configurational perspective. In addition, it identifies combinations that require a low level of implementation of specific lean practices.

This study aims to understand the sustainable development of small and medium-sized enterprises (SMEs), analysing their current practices in the social, environmental and economic domain.

To fulfil this objective, an exploratory, qualitative approach was adopted, using the multiple case study methodology and focusing on eight cases (SMEs) in Portugal. Data were collected through interviews, since this technique allows proximity and interaction with decision makers and those responsible for firms’ sustainability.

From content analysis of the interviews held, the results show that SMEs are aware of and committed to sustainability and that the external context and some of its particularities have a significant impact on their sustainable development. These SMEs undertake various practices of a social, environmental and economic nature, highlighting especially environmental ones such as efficient resource consumption, using more sustainable resources, recycling waste and waste management.

This study contributes greater knowledge of the phenomenon of SMEs’ sustainable development and identifies practical examples that could increase this firm segment’s awareness of the importance of sustainable practices associated with developing their business.

In this study, new and innovative sustainability practices are presented in the SMEs. The authors can underline that this study contributes to reinforcing the theory about the topic investigated by adding knowledge about sustainable development in the SME context. It deepens knowledge in this scientific area, which can be spread in the scientific community and among SMEs.