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Firms are increasingly pressured to comply with mandatory supply chain transparency (SCT) regulations. Drawing on information processing theory (IPT), this study aims to show how blockchain technology can address information uncertainty and equivocality in assuring regulatory compliance in an interorganizational network (ION).

IPT is applied in a single case study of an ION in the mining industry that aimed to implement blockchain to address mandatory SCT regulations. The authors build on a rich proprietary data set consisting of interviews and substantial secondary material from actors along the supply chain.

The case shows that blockchain creates equality between actors, enables compliance and enhances efficiency in an ION, reducing information uncertainty and equivocality arising from conflict minerals regulation. The system promotes engagement and data sharing between parties while protecting commercial sensitive information. The lack of central authority prevents larger partners from taking control. The system provides mineral provenance and a regulation-compliant record. System cost analysis shows that the system is efficient as it is inexpensive relative to volumes and values of metals transacted. Issues were identified related to collecting richer human rights data for assurance and compliance with due diligence regulations.

The authors provide some of the first evidence in the operations and supply chain management literature of the specific architecture, costs and limitations of using blockchain for SCT. Using an IPT lens in an ION setting, the authors demonstrate how blockchain-based systems can address two key IPT challenges: environmental uncertainty and equivocality.

The credit of agricultural product quality and safety reflects the ability of the main actors involved in the supply chain to provide reliable agricultural products to consumers. To fundamentally solve the problem of agricultural product quality and safety, it is worth studying how to make the credit awareness and integrity self-discipline of the supply chain agriculture-related subjects strengthened and the role and value of credit supervision given full play. Starting from the application of blockchain in the agricultural product supply chain, this paper aims to investigate the main factors affecting the credit regulation of agricultural product quality.

Using the DEMATEL-ISM (decision-making trial and evaluation laboratory–interpretative structural modeling) method, we analyze the credit influencing factors of agricultural quality and safety empowered by blockchain technology, find the causal relationship between the crucial influencing factors and deeply explore the hierarchical transmission relationship between the influencing factors. Then, the path analysis in structural equation modeling is utilized to verify and measure the significance and effect value of the transmission relationship among the crucial influencing factors of credit regulation.

The results show that the quality and safety credit regulation of agricultural products is influenced by a combination of direct and deep influencing factors. Long-term stable cooperative relationship, Quality and safety credit evaluation, Supply chain risk control ability, Quality and safety testing, Constraints of the smart contract are the main influence path of blockchain embedded in agricultural product supply chain quality and safety credit supervision.

Credit supervision is an important means to improve the ability and level of social governance and standardize the market order. From the perspective of blockchain embedded in the agricultural supply chain, the regulatory body is transformed from the product body to the supply chain body. Take the credit supervision of supply chain subjects as the basis of agricultural product quality supervision. With the help of blockchain technology to improve the effectiveness of agricultural product quality and safety credit supervision, credit supervision is used to constrain and incentivize the behavior of agricultural subjects.

The German Supply Chain Due Diligence Act (GSCDDA), as a comprehensive regulation for due diligence in supply chains, will exert profound pressure on companies’ sustainable supply chain management (SSCM). This study aims to examine the affected stakeholders’ polarizing expectations stemming from the GSCDDA, the resulting impacts on SSCM and how these findings compare with theoretical SSCM developments.

From 5,490 GSCDDA posts on X (formerly “Twitter”), the authors extracted 556 qualitative posts illustrating the GSCDDA discourse and analyzed them from a stakeholder perspective. The posts were classified according to the dimensions of stakeholder groups and expectations (i.e. challenges and opportunities). The authors then synthesized the posts across these dimensions and compared the identified expectations with the SSCM literature.

Seven stakeholder groups were identified, along with nine challenges (e.g. legal flaws) and four opportunities (e.g. increased transparency). The synthesis of both components revealed highly discussed and conflicting expectations. The theoretical SSCM developments partly differ from the discourse, indicating discernible gaps between theory and practice

Identifying key stakeholder groups supports building synergies between GSCDDA implementers and stakeholders to tackle their challenges and reinforce opportunities.

Due to the growing prevalence of supply chain due diligence regulations, it is essential to consider the legal implications for SSCM. This study explores the link between due diligence concepts and SSCM, and to the best of the authors’ knowledge, this is the first study to analyze how legal pressure shapes stakeholders’ expectations on companies’ SSCM.

This chapter explores the strategic responsiveness of commodity multinationals operating in developing countries to the uncertainties raised by the emergent European Union (EU) sustainability regulation. The study applies deductive theory triangulation to derive five response propositions, subsequently contrasted with inductive insights from an exploratory single-case study. The research involves in-depth interviews with a mix of senior and middle management and numerous external stakeholders. Empirical findings are discussed through storytelling and retrospective sensemaking and cross-checked against corporate documents, archive material, and online articles for added validation. This chapter concludes that an authentic commitment to corporate social responsibility and creating shared value can enhance the multinational enterprise (MNE)’s resilience and responsiveness to regulatory uncertainty, especially when combined with early signal scanning and real options reasoning. Through varied, first-hand insights, the case study demonstrates the role of reputation, core values, and ethical leadership in support of effective stakeholder engagement capabilities and the MNE’s ability to develop viable collaborative solutions to uncertainties implied by evolving sustainability regulation and stakeholder expectations. Taking an evolutionary view, this chapter introduces a process perspective on sustainability transition, relevant to firms seeking a shift in focus from mere compliance toward strategic responsiveness founded on adaptability and renewal.

Technology uptake in supply chains frequently encounters challenges when immediate, tangible benefits are not evident. Therefore, this article's central objective is to pinpoint the risks affecting the integration of supply chain technologies for enduring outcomes. Subsequently, these risks will be organized into a hierarchical structure, facilitating a clearer comprehension of their direct and indirect interconnections.

A combined TISM and quantitative approach has been used to build the hierarchal structure and to validate the direct, and indirect relationship among risks adopting supply chain technologies. A total of 41 respondents participated in the TISM survey, which resulted in creating a level hierarchical structure. Further, 233 responses are used for the quantitative study using SEM to validate the model obtained from TISM.

The study's findings indicated the social risks come out with the highest driving power. This includes the fear of job displacement, community disparity and change in the work culture of an organization. At the same time, technological risks can cause system integration, scalability issues, obsolesce compatibility issues, system failures and supply chain sustainability issues.

The novelty of the study can be found in the developed framework and its subsequent confirmation via quantitative evaluation. TISM provides the theoretical foundation, while a quantitative investigation is carried out to verify this theory.

This paper aims to investigate the impact of sustainable board governance, based on (1) sustainability board committees, (2) critical mass of female board members and (3) sustainability-related executive compensation, on sustainable supply chain reporting (SSCR).

Based on stakeholder and critical mass theories, a sample of 1,577 firm-year observations for firms listed at the EuroSTOXX600 for the period 2017–2021 is used. Sustainable board governance and SSCR proxies are collected from the Refinitiv database. Correlation and logit regression analyses are conducted to measure the impact of sustainable board governance on SSCR.

Sustainable board governance significantly improves SSCR. The findings are robust to various robustness checks, based on the modification of dependent and independent variables.

Due to massive regulations on sustainability reporting, finance and corporate governance, firms listed on the EuroSTOXX 600 are focused in this analysis. The European capital market represents a unique setting for archival research.

European standard setters should connect the relationship between sustainable board governance and SSCR in future regulations, for example, due to the recent corporate sustainability reporting directive (CSRD) and corporate sustainability due diligence directive (CSDDD).

To the best of the author’s knowledge, this paper provides the first analysis on the impact of sustainable board governance on SSCR.

This study reviews scholarly work in sustainable green logistics and remanufacturing (SGLR) and their subdisciplines, in combination with bibliometric, thematic and content analyses that provide a viewpoint on categorization and a future research agenda. This paper provides insight into current research trends in the subjects of interest by examining the most essential and most referenced articles promoting sustainability and climate-neutral logistics.

For the literature review, the authors extracted and sifted 2180 research and review papers for the period 2008–2023 from the Scopus database. The authors performed bibliometric and content analyses using multiple software programs such as Gephi, VOSviewer and R programming.

The SGLR papers can be grouped into seven clusters: (1) The circular economy facets; (2) Decarbonization of operations to nurture a climate-neutral business; (3) Green sustainable supply chain management; (4) Drivers and barriers of reverse logistics and the circular economy; (5) Business models for sustainable logistics and the circular economy; (6) Transportation problems in sustainable green logistics and (7) Digitalization of logistics and supply chain management.

In this review, fundamental ideas are established, research gaps are identified and multiple future research subjects are proposed. These propositions are categorized into three main research streams, i.e. (1) Digitalization of SGLR, (2) Enhancing scopes, sectors and industries in the context of SGLR and (3) Developing more efficient and effective climate-neutral and climate change-related solutions and promoting more environmental-related and sustainability research concerning SGLR. In addition, two conceptual models concerning SGLR and climate-neutral strategies are developed and presented for managers and practitioners to consider when adopting green and sustainability principles in supply chains. This review also highlights the need for academics to go beyond frameworks and build new techniques and instruments for monitoring SGLR performance in the real world.

This study provides an overview of the evolution of SGLR; it also clarifies concepts, environmental concerns and climate change practices, particularly those directed to supply chain management.

To examine how shareholding affects optimal profits, R&D innovation, NEV market scale and social welfare in two supply chain models with partial and cross ownership patterns.

The gradual retreat of government subsidies has directly weakened the financial support available to the stakeholders of new energy vehicles (NEVs). In this context, upstream and downstream enterprises of NEV are constantly seeking new business models of cooperation to achieve possible win-wins. NEV supply chain shareholding is an emerging new practice for such explorations. However, its performance in the NEV supply chain is seldom investigated. In this paper, we employ a Stackelberg game model to investigate how partial and cross-ownership affect the optimal decisions in a NEV supply chain.

Results showed that: (1) Compared with the unilateral shareholding model, the battery supplier will benefit from cross-ownership in the supply chain, while the NEV manufacturer will not necessarily benefit from it. At the same time, cross-ownership will bring the greatest incentive for battery R&D (2) Supply chain downstream competition will not necessarily lead to the improvement of the total consumption of NEVs or the level of battery design. Pareto improvement can be brought only when one of the manufacturers holds less than a certain equity threshold. In addition, downstream competition will also not necessarily bring more benefits to the battery supplier.

At present, NEV supply chain management has attracted widespread attention from scholars from all walks of life. Previous studies have been carried out that covers topics such as pricing strategies and optimal profits and the role of NEV in the sustainable development of the automotive industry supply chain, or disparate impacts of government subsidies and carbon emission regulation on supply chain members. However, as far as the authors know, compared with the new emerging NEV corporate practice, the shareholding phenomenon between upstream and downstream in the supply chain of NEV has not been studied in the existing studies.

Production systems occupy geographically dispersed organizations with limited visibility and transparency. Such limitations create operational inefficiencies across the Supply Chain (SC). Recently, researchers have started exploring applications of Digital Twins Technology (DTT) to improve SC operations. In this context, there is a need to provide comprehensive theoretical knowledge and frameworks to help stakeholders understand the adoption of DTT. This study aims to fulfill the research gap by empirically investigating DTT readiness to enable transparency in SC.

A comprehensive literature survey was conducted to develop a theoretical model related to Supply Chain Transparency (SCT) and DTT readiness. Then, a questionnaire was developed based on the proposed theoretical model, and data was collected from Indian manufacturers. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) to confirm the proposed relationships.

The findings from the study confirmed a positive relationship between DTT implementation and SCT. This study reported that data readiness, perceived values and benefits of DTT, and organizational readiness and leadership support influence DTT readiness and further lead to SCT.

This study contributes to the literature and knowledge by uniquely mapping and validating various interactions between DTT readiness and sustainable SC performance.

The purpose of this study is to examine various data sources to identify trends and themes in humanitarian supply chain management (HSCM) in the digital age.

In this study, various data sources such as published literature and social media content from Twitter, LinkedIn, blogs and forums are used to identify trending topics and themes on HSCM using topic modelling.

The study examined 33 published literature and more than 94,000 documents, including tweets and expert opinions, and identified eight themes related to HSCM in the digital age namely “Digital technology enabled global partnerships”, “Digital tech enabled sustainability”, “Digital tech enabled risk reduction for climate changes and uncertainties”, “Digital tech enabled preparedness, response and resilience”, “Digital tech enabled health system enhancement”, “Digital tech enabled food system enhancement”, “Digital tech enabled ethical process and systems” and “Digital tech enabled humanitarian logistics”. The study also proposed a framework of drivers, processes and impacts for each theme and directions for future research.

Previous research has predominantly relied on published literature to identify emerging themes and trends on a particular topic. This study is unique because it examines the ability of social media sources such as blogs, websites, forums and published literature to reveal evolving patterns and trends in HSCM in the digital age.