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The Data Visualization Analysis in Global Supply Chain Resilience Research During 2012–2022

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Services Computing – SCC 2022 (SCC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13738))

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Abstract

Supply Chain Resilience (SCR), which is the capacity to return the supply chain to its starting condition, which is necessary when the system is compromised by hazards (externally), is one of the most critical supply chain management concerns in the worldwide post-COVID-19 era. This article aims to examine influential journals, publication types, research headings, scholars, and citation metrics in the SCR field, to assist researchers globally in better understanding the knowledge map of the subject and identifying frontiers. The findings indicate that SCR is an important and widespread issue in the post-COVID-19 era, with 2,278 articles published on the Web of Science over the study period. Tableau Public was used in data analytics during the research period. The finding of this research is that (1) the majority of publications were published in SCIE and/or SSCI. (2) The journal-published papers were easier than book, conference, and series publications. (3) Future researchers will be able to conduct more in-depth research on the Multi-topics of SCR, such as people, COVID-19, the food supply chain, and the service industry. (4) Numerous researchers have already participated in SCR-related research, establishing a solid academic community research foundation. This is a review of SCR research and research ideas to complete a future study on the resilience of China’s agricultural product supply chain.

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Acknowledgments

This study was funded by Mianyang Social Science Key Research Base - 2022 Project of Sichuan Modern Circulation Economy Research Center, Tianfu College, Southwestern University of Finance and Economics (XDLTJJ2022YB02).

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Authors and Affiliations

  1. Guizhou University of Commerce, Guiyang, China

    Lijun Li

  2. School of Management, Universiti Sains Malaysia, Penang, Malaysia

    Lijun Li

  3. The TIANFU College of SWUFE, Mianyang, China

    Rui Chi & Yusou Liu

Authors
  1. Lijun Li
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  2. Rui Chi
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  3. Yusou Liu
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Correspondence to Yusou Liu .

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Editors and Affiliations

  1. Louisiana State University, Baton Rouge, LA, USA

    Wang Qingyang

  2. Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

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Li, L., Chi, R., Liu, Y. (2022). The Data Visualization Analysis in Global Supply Chain Resilience Research During 2012–2022. In: Qingyang, W., Zhang, LJ. (eds) Services Computing – SCC 2022. SCC 2022. Lecture Notes in Computer Science, vol 13738. Springer, Cham. https://doi.org/10.1007/978-3-031-23515-3_1

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  • DOI: https://doi.org/10.1007/978-3-031-23515-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23514-6

  • Online ISBN: 978-3-031-23515-3

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