Seyedghorban, Z, Tahernejad, H, Meriton, R et al. (1 more author) (2020) Supply chain digitalization: past, present and future. Production Planning and Control, 31 (2-3). pp. 96-114. ISSN 0953-7287
Abstract
The fourth Industrial Revolution is driving the creation of a more connected ecosystem. Organizations are now re-shaping their strategies to become increasingly transparent, including their supply chain management (SCM). The area of supply chain digitalization is starting to attract growing attention; however, its research status remains unclear. We set out, in this study, to understand what constitutes the underlying structure of its research, what topics have been investigated, what areas need further attention, how the existing literature can be classified and how the discipline can move forward. We applied a mixed-method approach using both quantitative and qualitative techniques to achieve this. A bibliometric analysis of 331 articles with 12,709 references was first conducted followed by a qualitative content analysis. Results point at a tentative future research agenda featuring five paths: data science-enabled SCM, supply chain agility, humanizing manufacturing through digital manufacturing strategy, Omni-channel and Internet of Things, and resource-based view and beyond.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in Production Planning & Control. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Supply chain digitalization; meta-analysis; bibliometric; content analysis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Logistics, Info, Ops and Networks (LION) (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Jan 2019 12:31 |
Last Modified: | 04 Dec 2020 01:39 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/09537287.2019.1631461 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140327 |