Supply chain management: exploring the intellectual structure
Wen-Lung Shiau (),
Yogesh K. Dwivedi () and
Chia-Han Tsai ()
Additional contact information
Wen-Lung Shiau: Ming Chuan University
Yogesh K. Dwivedi: Swansea University Bay Campus
Chia-Han Tsai: Ming Chuan University
Scientometrics, 2015, vol. 105, issue 1, No 14, 215-230
Abstract:
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.
Keywords: Supply chain management (SCM); Intellectual structure; Document co-citation; Classification (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-015-1680-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:105:y:2015:i:1:d:10.1007_s11192-015-1680-9
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-015-1680-9
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().