Citation lag analysis in supply chain research

Hiroko Nakamura, Shinji Suzuki, Tomobe Hironori, Yuya Kajikawa () and Ichiro Sakata
Additional contact information
Hiroko Nakamura: The University of Tokyo
Shinji Suzuki: The University of Tokyo
Tomobe Hironori: The University of Tokyo
Yuya Kajikawa: The University of Tokyo
Ichiro Sakata: The University of Tokyo

Scientometrics, 2011, vol. 87, issue 2, No 1, 232 pages

Abstract: Abstract Interdisciplinary research is expected to contribute to industrial and economic development. However, due to expansion of knowledge and the fragmentation of research fields, knowledge dissemination among different research fields is rare and we need a methodology for measuring such dissemination and promoting it. In this paper, we introduce a citation lag analysis of inter- and intra-clusters extracted by citation network analysis as a new indicator to represent the speed of knowledge diffusion in subfields of a research field. A case study was performed within supply chain research to investigate knowledge integration among its subfields. Based on the analysis, we discuss knowledge structure and reciprocal influence of subfields in supply chain research. This study contributes to offering a new approach for analyzing and understanding the development of boundary spanning research.

Keywords: Research on research; Citation network; Knowledge diffusion; Supply chain (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-011-0341-x 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:87:y:2011:i:2:d:10.1007_s11192-011-0341-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-011-0341-x

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 ().