EconPapers    
Economics at your fingertips  
 

Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field

Shunshun Shi (), Wenyu Zhang (), Shuai Zhang () and Jie Chen ()
Additional contact information
Shunshun Shi: Zhejiang University of Finance and Economics
Wenyu Zhang: Zhejiang University of Finance and Economics
Shuai Zhang: Zhejiang University of Finance and Economics
Jie Chen: Zhejiang University of Finance and Economics

Scientometrics, 2018, vol. 117, issue 2, 1237-1264

Abstract: Abstract It has long been understood that knowledge flow can be divided into knowledge integration and knowledge diffusion and can be investigated by interdisciplinary scientific research (IDR) approaches. The literature describes some quantitative approaches for measuring interdisciplinary research, and all of them belong to a popularity dimension. Previous work failed to address the problem of evaluating interdisciplinary research in a prestige dimension. However, in this study, the authors introduce an extended IDR measure that combines the P-Rank algorithm with the traditional IDR approaches to promote the current IDR approaches from the popularity dimension to the prestige dimension. This extended measure explores the prestige dimension of papers and considers the subsequent contribution of papers of different prestige devoted to the knowledge flow in which they are embedded. An experiment regarding the e-government field demonstrates that the interdisciplinary performance of some papers is overestimated under traditional IDR approaches and that the performance would be more reasonable under an extended IDR measure that considers the prestige dimension. We expect that the extended IDR measure can identify the different contributions of papers of different prestige with regard to their interdisciplinary performance and then reevaluate their contributions to the knowledge flow in which they are embedded.

Keywords: Interdisciplinary research; Prestige dimension; Category citation analysis; Diversity measure; Knowledge integration; Knowledge diffusion (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s11192-018-2914-4 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:117:y:2018:i:2:d:10.1007_s11192-018-2914-4

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

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 ().

 
Page updated 2019-11-06
Handle: RePEc:spr:scient:v:117:y:2018:i:2:d:10.1007_s11192-018-2914-4