Publication Type
Journal Article
Version
acceptedVersion
Publication Date
12-2013
Abstract
Traditional methods to evaluate research performance focus on citation count, quality and quantity of research output by individual researchers. These measures overlook the roles an individual plays in research collaboration, which is critical in an institutional research management environment due to the inherent interdependency among research entities. In order to address the organizational research management needs, we propose a research social network approach to better analyze local collaboration networks. For this purpose, we develop a new “collaboration supportiveness” measure to quantify an individual researcher's collaboration ability. Insights derived from this research are very helpful for managers to effectively allocate resources, identify research priorities, promote collaboration, and grow research in directions aligned with the organizational strategies.
Keywords
Research management, Collaboration analysis, Social network analysis, Research analytics
Discipline
Computer Sciences | Higher Education | Management Information Systems
Research Areas
Information Systems and Management
Publication
Decision Support Systems
Volume
56
First Page
427
Last Page
438
ISSN
0167-9236
Identifier
10.1016/j.dss.2012.10.055
Publisher
Elsevier
Citation
LIU, Xiaoyan; GUO, Zhiling; LIN, Zhenjiang; and MA, Jian.
A Local Social Network Approach for Research Management. (2013). Decision Support Systems. 56, 427-438.
Available at: https://ink.library.smu.edu.sg/sis_research/1856
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.dss.2012.10.055
Included in
Computer Sciences Commons, Higher Education Commons, Management Information Systems Commons