A Novel Method for Optimal Selection of Technology Commercialization Team Based on Commercial Competence

Ling Zhang () and Yi Cui
Additional contact information
Ling Zhang: South China University of Technology
Yi Cui: South China University of Technology

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 471-482 from Springer

Abstract: Abstract Team selection is crucial for the success of technology commercialization. In existing researches on technology commercialization, the technical information is mostly used, while non-technical information is overlooked, especially the information between team members. This paper presents a new method for the optimal selection of technology commercialization team based on commercial competence, in which both technical attributes and cooperative commercialization attributes between team members are concerned. First, an evaluating index system of team selection is proposed, where factors affecting technology commercialization competence are determined. Second, a Fuzzy Evaluation Method for optimal selection of Technology commercialization team is built, and Matlab programs are developed to solve the model. Moreover, an example is used to illustrate the potential application of the proposed method. Results show that the proposed method can enhance theoretical understanding and decision-making for team selection of technology commercialization.

Keywords: Commercial competence; Fuzzy evaluation; Technologycommercialization; Team selection (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-3-642-40072-8_46

Ordering information: This item can be ordered from
http://www.springer.com/9783642400728

DOI: 10.1007/978-3-642-40072-8_46

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().