A candidates selection approach for district alliance of university incubators

A candidates selection approach for district alliance of university incubators There are 79.3% of incubators in university campus. These university incubators are funded and directed by the government in Taiwan. However, each incubator has given limited resources and geographical limitation. To overcome these issues, district alliance is become a very good way. So that the total public expenditures required for incubators can be reduced. This paper uses the viewpoint of operation research for this issue. Base on the methodology of data envelopment analysis (DEA) and heuristic techniques, this research develops an evaluation method for university incubators to select their district partners to improve the potential average efficiency, integrating resources and enhancing performance. Realistic data are collected from Taiwan government for case study. The results indicate that the average efficiency of whole university incubators increases from 0.8000559 to 0.8962224 by our approach. The research analyses by slack variable analysis to assess the maximum operational performance as well. This research can effectively integrate the multi-resources of all university incubators, enhance competitive advantage and provides practical suggestions for government authorities when district alliance is assessed and initiated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

A candidates selection approach for district alliance of university incubators

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Springer Netherlands
Copyright © 2010 by Springer Science+Business Media B.V.
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
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