Resource Commitment, Organizational Diversity, and Research Performance
A Case of the National Telecommunication Program in Taiwan
Traditionally, a project team's resource commitment and organizational diversity are thought to be helpful to project performance; however, this relationship may falter when the project performance is considered in light of both cost and benefit. For an objective evaluation of R&D performance, this paper integrates data envelopment analysis (DEA) and analytical hierarchy process (AHP) to evaluate project performance and explores the relationship between project performance and resource commitment and organizational diversity. It uses the Tobit regression to develop a practical model consisting of observable and critical variables to predict the best-forming research teams. A literature review discusses the research on resource commitment and organizational diversity, DEA, AHP, and R&D performance indicators. The data collection, modeling process, and statistical relationships of research hypotheses are also described.