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Article
Publication date: 24 October 2021

Marta Ferrer-Serrano, Lucio Fuentelsaz and Maria Pilar Latorre-Martinez

Knowledge transfer (KT) has been attracting significant attention from the scientific community. The need to establish collaborative network relationships to achieve effective KT…

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Abstract

Purpose

Knowledge transfer (KT) has been attracting significant attention from the scientific community. The need to establish collaborative network relationships to achieve effective KT has led to a large volume of studies that attempt to identify how collaborative networks influence KT processes. However, papers, which link KT and networks have not been systematised. This study aims to provide an overview of this academic field and sets an agenda for future research.

Design/methodology/approach

The authors followed the preferred reporting items for systematic reviews and meta-analyses method to conduct a systematic review of the literature published in 2000–2020. The authors sourced the sample from the Web of Science and Scopus databases. The authors screened the references under the management and business categories that were published in the first two quartiles of the Journal Citation Report. This search returned 190 impactful papers across the 53 journals that were analysed.

Findings

The authors present the main results in two sections. First, this paper elaborates a conceptual model of the field; second, the authors review KT between firms and other agents, which allows us to identify KT flows within and between companies, universities and public institutions.

Originality/value

This paper provides the first systematic review of collaborative networks and KT. Five areas of action are identified for future research and are specified in several research questions. The authors also provide several practical implications. In a world in which more and more dynamic agents coexist, it is important to be aware of the needs of organisations that create and disseminate specific knowledge.

Details

Journal of Knowledge Management, vol. 26 no. 8
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 21 November 2023

Lúcio Flavio Vasconcelos, Tiago F.A.C. Sigahi, Jefferson de Souza Pinto, Izabela Simon Rampasso and Rosley Anholon

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…

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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.

Details

Benchmarking: An International Journal, vol. 32 no. 1
Type: Research Article
ISSN: 1463-5771

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