Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6948631 | Decision Support Systems | 2013 | 12 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Xiaoyan Liu, Zhiling Guo, Zhenjiang Lin, Jian Ma,