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Supply chain management: exploring the intellectual structure

Author

Listed:
  • Wen-Lung Shiau

    (Ming Chuan University)

  • Yogesh K. Dwivedi

    (Swansea University Bay Campus)

  • Chia-Han Tsai

    (Ming Chuan University)

Abstract

The purpose of this article is to explore the intellectual structure of supply chain management area by employing a co-citation method. Data was collected (4652 articles and 145,242 references) from the Web of Science online database. Author productivity and 41 frequently cited articles were identified through citation and document co-citation analysis. The result of this study identified four core topics to supply chain management research: sustainable supply chain management, strategic competition, value of information, and development of supply chain management. This study illustrates the shift in the intellectual structure of SCM, indicating research priorities, such as sustainability in supply chain management, relationships among organisations, the bullwhip effect within the supply chain, and performance measurement in supply chain management. This study implies that managers should expend effort formulating effective performance measurements in supply chain management and share information within the supply chain to mitigate the bullwhip effect.

Suggested Citation

  • Wen-Lung Shiau & Yogesh K. Dwivedi & Chia-Han Tsai, 2015. "Supply chain management: exploring the intellectual structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 215-230, October.
  • Handle: RePEc:spr:scient:v:105:y:2015:i:1:d:10.1007_s11192-015-1680-9
    DOI: 10.1007/s11192-015-1680-9
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    Cited by:

    1. Irina Tytell & Ksenia Yudaeva, 2005. "The Role of FDI in Eastern Europe and New Independent States: New Channels for the Spillover Effect," Working Papers w0060, Center for Economic and Financial Research (CEFIR).
    2. Dejian Yu & Zhaoping Yan, 2021. "Knowledge diffusion of supply chain bullwhip effect: main path analysis and science mapping analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8491-8515, October.
    3. Seyedmohammadreza Hosseini & Hamed Baziyad & Rasoul Norouzi & Sheida Jabbedari Khiabani & Győző Gidófalvi & Amir Albadvi & Abbas Alimohammadi & Seyedehsan Seyedabrishami, 2021. "Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2667-2688, April.
    4. Vibhav Singh & Surabhi Verma & Sushil S. Chaurasia, 2020. "Mapping the themes and intellectual structure of corporate university: co-citation and cluster analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1275-1302, March.
    5. Manuel Castriotta & Maria Chiara Guardo, 2016. "Disentangling the automotive technology structure: a patent co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 819-837, May.
    6. Manuel Castriotta & Michela Loi & Elona Marku & Luca Naitana, 2019. "What’s in a name? Exploring the conceptual structure of emerging organizations," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 407-437, February.
    7. Verónica Duque-Uribe & William Sarache & Elena Valentina Gutiérrez, 2019. "Sustainable Supply Chain Management Practices and Sustainable Performance in Hospitals: A Systematic Review and Integrative Framework," Sustainability, MDPI, vol. 11(21), pages 1-30, October.
    8. Shiau, Wen-Lung & Dwivedi, Yogesh K. & Lai, He-Hong, 2018. "Examining the core knowledge on facebook," International Journal of Information Management, Elsevier, vol. 43(C), pages 52-63.
    9. Aliakbar Pourhatami & Mohammad Kaviyani-Charati & Bahareh Kargar & Hamed Baziyad & Maryam Kargar & Carlos Olmeda-Gómez, 2021. "Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6625-6657, August.
    10. Qiang Du & Jiajie Zhou, 2022. "Evolution of Low Carbon Supply Chain Research: A Systematic Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    11. Shiau, Wen-Lung & Dwivedi, Yogesh K. & Yang, Han Suan, 2017. "Co-citation and cluster analyses of extant literature on social networks," International Journal of Information Management, Elsevier, vol. 37(5), pages 390-399.

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