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The International Journal of Logistics Management

ISSN : 0957-4093

Article publication date: 20 January 2023

Issue publication date: 28 April 2023

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.

Design/methodology/approach

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.

Originality/value

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.

• Circular economy
• Circular supply chain management
• Closed-loop supply chain management
• Sustainable supply chain management
• Literature review

Acknowledgements

Funding: Dr. Abraham Zhang acknowledges partial funding support from the 2020 Endeavour Fund, Ministry of Business, Innovation and Employment of New Zealand (Project title: Āmiomio Aotearoa - A Circular Economy for the Wellbeing of New Zealand).

Zhang, A. , Duong, L. , Seuring, S. and Hartley, J.L. (2023), "Circular supply chain management: a bibliometric analysis-based literature review", The International Journal of Logistics Management , Vol. 34 No. 3, pp. 847-872. https://doi.org/10.1108/IJLM-04-2022-0199

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Circular supply chain management: A bibliometric analysis-based literature review

Zhang, abraham; duong, linh; seuring, stefan; hartley, janet l..

Abraham Zhang

Dr Linh Duong [email protected] Senior Lecturer in Operations Management

Stefan Seuring

Janet L. Hartley

Purpose: 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. Design/methodology/approach: 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. Findings: 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. Originality/value: 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.

Zhang, A., Duong, L., Seuring, S., & Hartley, J. L. (in press). Circular supply chain management: A bibliometric analysis-based literature review. International Journal of Logistics Management, The, https://doi.org/10.1108/IJLM-04-2022-0199

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Circular supply chain management: a bibliometric analysis-based literature review

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Zhang A, Duong L, Seuring S & Hartley JL (2023) Circular supply chain management: a bibliometric analysis-based literature review. The International Journal of Logistics Management . https://doi.org/10.1108/ijlm-04-2022-0199

Abstract Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

Keywords Circular economy; Circular supply chain management; Closed-loop supply chain management; Sustainable supply chain management; Literature review

Notes Output Status: Forthcoming/Available Online

Journal The International Journal of Logistics Management

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Circular supply chain management: a bibliometric analysis-based literature review

) (doi: 10.1108/IJLM-04-2022-0199 )

Purpose: 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. Design/methodology/approach: 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. Findings: 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. Originality/value: 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.

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Circular economy and supply chain: a literature review

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Goal: To analyze the publications on circular economy and supply chain using a systematic review of the literature and bibliometric analysis, the study was designed to answer the question: How is the international scientific production about Circular Economy and Supply Chain characterized? For such an answer it was found that the first published article was on the subject date from 2006 and 2013 there was a steady increase in the number of publications. Many publications mentioned the use of CE in the supply chain through the management of the green supply chain. The country with more publications about the area in the United Kingdom with 19,1% of papers. Moreover, publications are generally about IT product and service supply chains. Design/Methodology/Approach: Systematic literature review based on bibliometric theory and social network analysis, linking Circular Economy and Supply Chain. Results: The articles do not point to studies on a specific supply chain, but only stress the...

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Big Data Analytics in Supply Chain Management: Bibliometric and Systematic Literature Review

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• First Online: 15 May 2024
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• Sasmita Mohapatra 14 &
• Ajay Kumar Behera 15  

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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• International Conference on Recent Advances in Mechanical Engineering Research and Development

Supply chain is the backbone of a successful operation of any organization. An due to its multistate operation model and multi stakeholder involvement a lot of data is being captured and created in a matured supply chain process. From last one and half decade researchers are leveraging Big Data analysis to bring out insights from the data to analyze the hidden insights from the data. Big Data Analysis is also used in Supply chain management for analysis of future studies. This research is aimed at doing a systemic literature review along with bibliometric analysis for usage of Bid Data analytics in supply chain management process for a time window of 10 years (2013–2023). The primary aim of the paper is to complete an in-depth literature review in supply chain and Big Data analytics. This study will help future researchers to narrow down their research in supply chain management as well as Big Data analytics and bring the benefits of these for their respective studies. The study mentions about the study done in last 10 years and recent studies done to fill in the gap existing the same segment so that these can be applied for the future researches. The study is focused to use different approaches which can help in identifying the current and future trends based on numerous papers published in different researches and generate insightful information using VOS Viewer for data analysis purpose.

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BIITM, Biju Patnaik University of Technology, Bhubaneswar, Odisha, India

Sasmita Mohapatra

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Ajay Kumar Behera

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Department of Mechanical Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

Seshadev Sahoo

Department of Metallurgical and Materials Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

Natraj Yedla

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Mohapatra, S., Behera, A.K. (2024). Big Data Analytics in Supply Chain Management: Bibliometric and Systematic Literature Review. In: Sahoo, S., Yedla, N. (eds) Recent Advances in Mechanical Engineering. ICRAMERD 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-97-1080-5_51

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