Supply chain management maturity and business models: scientific mapping using SciMAT
Abstract
Purpose
Organizations and markets are constantly developing and changing, impacting how organizations create value and manage supply chains. This paper aims to identify the motor themes and subthemes of academic research that relate supply chain management (SCM) maturity and business models (BMs).
Design/methodology/approach
The Science Mapping Analysis Tool (SciMAT) was used to conduct a seven-step bibliometric analysis of 889 documents indexed in the Scopus database clustering by relatedness of works and keywords. The methodological approach included content analysis of the literature, longitudinal analysis and strategic diagram analysis.
Findings
The thematic evolution analysis revealed that three themes drive the studies on SCM maturity and BM: industry 4.0 (motor theme), environmental management (transversal theme) and product management (highly developed and isolated theme). The strategic diagrams and co-word networks allowed to graphically identify the main topics connecting SCM maturity and BM. Considering this connection, the scientific mapping emphasizes the significance and strength of the link between digital technologies, technology management and manufacturing management in Industry 4.0. In addition, the connections between the subthemes revealed that circular economy and green human resource management are important concepts to advance theory and practice on the connection between SCM maturity and BM.
Originality/value
This research extends the knowledge base by providing an analysis of the key themes and the links with subthemes in the literature that relate to SCM maturity and BM. Key studies are analyzed and linked with the key topics identified using the SciMAT software. Future research avenues are outlined, providing new insights to advance theory and practice.
Keywords
Acknowledgements
The authors are grateful for the support of the National Council for Scientific and Technological Development (CNPq/Brazil) under the grant nº 304145/2021-1.
Since submission of this article, the following author(s) have updated their affiliations: Jefferson de Souza Pinto is at the School of Mechanical Engineering, State University of Campinas, Campinas, Brazil
Citation
Vasconcelos, L.F., Sigahi, T.F.A.C., Pinto, J.d.S., Rampasso, I.S. and Anholon, R. (2023), "Supply chain management maturity and business models: scientific mapping using SciMAT", Benchmarking: An International Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BIJ-04-2023-0255
Publisher
:Emerald Publishing Limited
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