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Review of Research on Digital Supply Chain Management Using Network Text Analysis

Author

Listed:
  • Jebum Pyun

    (Department of Big Data and AI, Hoseo University, Asan 31499, Korea)

  • Jin Sung Rha

    (School of Business Administration, Dankook University, Yongin 16890, Korea)

Abstract

Studies that have examined the digital transformation’s association with supply chains have been actively conducted for over 10 years, and studies on digital supply chain management have been increasing. However, there is a lack of consensus on the definitions of or views about the digital supply chain; thus, researchers in the academic or industrial fields propound various concepts of digital supply chains, which results in confusion during the exchange of opinions or transmission of concepts in many cases. The purpose of this study is to identify the research trends from various articles on the digital supply chain that have been published so far, summarize and analyze the theories and concepts pertaining to it, and review future topics of research. Network text analysis was conducted by extracting information from unstructured text data to identify research trends. The results of the analysis showed that many studies have examined the digital supply chain in terms of sustainable management. “Sustainability” was the most influential word in the keyword network, and the digital transformation of supply chains is essential for the sustainable viability of firms in the era of Industry 4.0 and digital transformation. Many studies have focused on technology for big data analysis and the IoT as technologies to fulfill digital supply chains and maintained that COVID-19 has increased risk factors such as global supply chain disruptions, which is why global firms must monitor the supply chain in real time by securing end-to-end visibility and making corporate-level efforts to build a digital supply chain to instantly detect and deal with related risks. The common groups of keywords were related to “supply chain integration”, “resilience”, “digital technologies”, and “digital transformation”.

Suggested Citation

  • Jebum Pyun & Jin Sung Rha, 2021. "Review of Research on Digital Supply Chain Management Using Network Text Analysis," Sustainability, MDPI, vol. 13(17), pages 1-24, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9929-:d:628716
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    References listed on IDEAS

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    Cited by:

    1. Elena Barzizza & Nicolò Biasetton & Riccardo Ceccato & Luigi Salmaso, 2023. "Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review," Stats, MDPI, vol. 6(2), pages 1-21, May.
    2. Gheorghe Minculete & Sebastian Emanuel Stan & Lucian Ispas & Ioan Virca & Leontin Stanciu & Marius Milandru & Gabriel Mănescu & Mădălina-Ioana Bădilă, 2022. "Relational Approaches Related to Digital Supply Chain Management Consolidation," Sustainability, MDPI, vol. 14(17), pages 1-28, August.
    3. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    4. Jin Sung Rha & Hong-Hee Lee, 2022. "Research trends in digital transformation in the service sector: a review based on network text analysis," Service Business, Springer;Pan-Pacific Business Association, vol. 16(1), pages 77-98, March.
    5. Wang, Qian & Du, Zhuo-Ya, 2022. "Changing the impact of banking concentration on corporate innovation: The moderating effect of digital transformation," Technology in Society, Elsevier, vol. 71(C).

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