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Supply chain management (SCM) research has contributed to the transition to a circular economy (CE). Still, confusions exist on the related terms, and no review has mapped out the development trends in the domain. This research clarifies the boundaries of the relevant concepts. Then, it conducts a comprehensive review of the circular SCM (CSCM) literature and identifies opportunities for future research.

Using relevant keywords, 1,130 journal articles published in December 31, 2021 were identified. Unlike the published reviews, which mainly relied on content analysis, this review uses bibliometric analysis tools, including citation analysis, co-citation analysis and cluster analysis. The review identifies general trends, influential researchers, high-impact publications, citation patterns and established and emergent research themes.

The extant CSCM literature includes five prominent clusters: (1) reverse channel optimization; (2) CSCM review and empirical studies; (3) closed-loop supply chain (CLSC) and consumers; (4) CLSC and inventory management and (5) CLSC and reverse logistics (RL). Significant research gaps exist in the use of secondary and longitudinal data, a wider range of theories, mixed-methods, multi-method, action research and behavioral experiment. The least researched topics include zero waste, industrial symbiosis, circular product design, sourcing and supply management and reuse.

This is the first bibliometric analysis-based literature review on CSCM. It clarifies the interrelated supply chain sustainability terms and thus reduces related confusion. It offers insights into the patterns in the CSCM literature and suggests important research directions.

Despite blockchain's potential supply chain benefits, few organizations have moved beyond pilot projects. The paper aims to explore blockchain adoption intentions for supply chain applications using two theoretical perspectives: innovation diffusion theory (IDT) and institutional theory (IT).

Based on theory, five propositions were developed addressing the intention to adopt blockchain. The propositions were tested using scenario-based experiments with supply chain professionals. To provide additional insights, interviews with 21 supply chain professionals in 15 organizations representing 8 industries were content analyzed.

Experiments suggest that the intention to adopt blockchain is higher when there are government regulations regarding product origin, organizations are using updated cloud-based information systems and organizations are working with third-party consultants. The content analysis suggests that organizations that face normative pressures to adopt blockchain supply chain applications and recognize blockchain's relative advantage, compatibility and complexity are more likely to be actively seeking information about and adopting blockchain supply chain applications. The authors synthesize findings and provide new propositions to guide future research.

Using a multi-method approach, the study provides an important window into supply chain managers' perceptions of the necessary conditions to support organization-level blockchain adoption. The findings also indicate key characteristics present in supply chain networks poised for blockchain adoption.

In this article, the authors aim to describe an approach used in a purchasing/supply management course at their university that provides students with a realistic, problem‐based learning experience with client involvement while maintaining consistent learning outcomes and a manageable faculty workload term after term. Students use a standardized approach to assess commodity price risk and decide upon an effective risk management strategy. The specific commodity that students analyze is selected by client companies who then actively participate in the course.

An illustrative case is presented describing how universities can partner with companies to integrate student projects into the curriculum using a standardized, repeatable process.

There are numerous benefits obtained for students, faculty, universities, and companies when engaging in commodity price analysis and risk management projects. These include the applied learning for students, providing new insights to companies, networking opportunities for students and companies that may lead to hiring, fostering closer relationships between universities and companies, providing research contacts and opportunities, and ensuring that the course is repeatable each semester.

The authors' approach capitalizes on the realism of client involvement while reducing the variation in learning outcomes and increased workload introduced by doing different types of client‐based company projects each term.

The purpose of this paper is to extend our understanding of the importance of supplier dependence on the buyer's firm and its relationship to supplier training and supplier involvement in product development with respect to the supplier's performance.

A random sample of 231 firms provided the data that were analyzed for this study. Using structural equation modeling, a sub‐set of the sample consisting of 166 manufacturing firms was used to test the five hypothesized relationships in the model.

The main findings indicate that supplier dependence is a significant contributor to increasing supplier participation in buyer supported training and increasing supplier involvement in product development. Also, supplier training and supplier involvement are significant contributors to the supplier's operational performance.

The model tested in this study used a random sample of US manufacturing firms. Thus, future studies should include a random sample of non‐manufacturing firms and firms outside of the USA. The study explored the buyer's perspective only; a study of suppliers may provide further insights to extend this study. Although the use of supplier training was relatively low, significant relationships were identified.

Based on this research, key suppliers can better understand the relationships among supplier dependence, supplier training, supplier involvement in product development and their effects on supplier's operational performance.

Although supplier development has emerged in previously published studies as a critical factor in improving performance, the role of supplier dependence on the buyer has not been empirically examined. Further, an integrated research model that investigates the relationships among supplier dependence, supplier training, supplier involvement in product development and supplier's operational performance has not been offered.

This paper aims to examine if supply market scanning and an organization’s internal communication climate are related to greater internal integration of supply management within the organization, and its subsequent effects on supplier integration and supplier performance.

A conceptual model, using information processing theory as a theoretical lens, is proposed and tested utilizing survey data gathered from supply management professionals from five European countries.

Supply market scanning and the organization’s internal communication climate are positively related to internal integration of supply management. Internal integration subsequently is positively related to supplier integration, which partially mediates the relationship with supplier performance. Internal integration is also positively and directly related to supplier performance.

Supply management fulfills a key role by being a conduit of information from the supply market to other internal functions and to ultimately improve supplier performance. Data were gathered from a single respondent in each firm and represents predominately manufacturing firms. Future research should use case studies to understand the process of how supply market information is conveyed internally, interpreted and used to improve supplier performance.

This paper provides evidence supporting the importance of supply management in integrating supply market information within the firm and with suppliers, which subsequently improves supplier performance.

To understand the differences in perceived barriers to e‐auctions both in US buying organizations that have adopted e‐auctions and in both those that have not.

Four propositions were developed based on the literature and case studies in eight companies that used e‐auctions for sourcing. Measures were developed for lack of e‐auction knowledge, lack of supplier participation, information security concerns and importance of supplier relationships. Survey data were gathered from 163 US National Association of Purchasing Management members. GLM‐MANOVA was used to test the propositions.

E‐auction adopters perceive information security to be less of a concern than non‐adopters. No significant differences were found between adopters and non‐adopters on the buyer's e‐auction knowledge, lack of supplier participation, and the importance of supplier relationships.

The small sample size limits statistical power, so small differences may not have been detected. The results may not generalize beyond the sample.

Supply managers should focus on reducing information security concerns within their organizations to facilitate adoption.

No published studies have explored the differences between adopters and non‐adopters of e‐auctions to identify barriers.

This study aims to examine publications of supply chain management (SCM) researchers from across the world and maps the leadership role of authors and institutions based on how prolific they are in publishing and on network measures of centrality while accounting for the quality of the outlets that they publish in. It aims to inform stakeholders on who the leading SCM scholars are, their primary areas of SCM research, their publication profiles and the nature of their networks. It also identifies and informs on the leading SCM research institutions of the world and where leadership in specific areas of SCM research is emerging from.

Based on SCM papers appearing in a set of seven leading journals over the 15-year period of 2001-2015, publication scores and social network analysis measures of total degree centrality and Bonacich power centrality are used to identify the highest ranked agents in SCM research overall, as well as in some specific areas of SCM research. Social network analysis is also used to examine the nature and scope of the networks of the ranked agents and where leadership in SCM research is emerging from.

Authors and institutions from the USA and UK are found to dominate much of the rankings in SCM research both by publication score and social network analysis measures of centrality. In examining the networks of the very top authors and institutions of the world, their networks are found to be more inward-looking (country-centric) than outward-looking (globally dispersed). Further, researchers in Europe and Asia alike are found to exhibit significant continental inclinations in their network formations with researchers in Europe displaying greater propensity to collaborate with their European-based counterparts and researchers in Asia with their Asian-based counterparts. Also, from among the journals, Supply Chain Management: An International Journal is found to exhibit a far more expansive global reach than any of the other journals.

The journal set used in this study, though representative of high-quality SCM research outlets, is not exhaustive of all potential outlets that publish SCM research. Further, the measure of quality that this study assigns to the various publications is based solely on a publication score that accounts for the quality of the journals, as rated by Association of Business Schools that the papers appear in and nothing else.

By informing the community of stakeholders of SCM research about the top-ranked SCM authors, institutions and countries of the world, the nature of their networks, as well as what the primary areas of SCM research of the leading authors in the world are, this research provides stakeholders, including managers, researchers and students, information that is helpful to them not only because of the insights it provides but also for the gauging of potential for embedding themselves in specific networks, engaging in collaborative research with the leading agents or pursuing educational opportunities with them.

This research is the first of its kind to identify and rank the top SCM authors and institutions from across the world using a representative set of seven leading SCM and primary OM journals based on publication scores and social network measures of centrality. The research is also the first of its kind to identify and rank the top authors and institutions within specific areas of SCM research and to identify future research opportunities relating to aspects of collaboration and networking in research endeavors.