A DANP-Based NDEA-MOP Approach to Evaluating the Patent Commercialization Performance of Industry–Academic Collaborations

Chi-Yo Huang, Min-Jen Yang, Jeen-Fong Li and Hueiling Chen
Additional contact information
Chi-Yo Huang: Department of Industrial Education, National Taiwan Normal University, Taipei 106, Taiwan
Min-Jen Yang: Department of Industrial Education, National Taiwan Normal University, Taipei 106, Taiwan
Jeen-Fong Li: Department of Industrial Education, National Taiwan Normal University, Taipei 106, Taiwan
Hueiling Chen: Graduate Institute of Management, National Taiwan Normal University, Taipei 106, Taiwan

Mathematics, 2021, vol. 9, issue 18, 1-26

Abstract: The industry–academic collaboration (IAC) in developed and developing countries enables these economies to gain momentum in continuous innovation and, thus, economic growth. Patent commercialization is one major channel of knowledge flow in IAC. However, very few studies consider the flow of knowledge between industrial firms and universities. Moreover, ways that the patent commercialization performance of IACs can be evaluated are rarely discussed. Therefore, defining an analytic framework to evaluate the performance of IAC from the aspect of patent commercialization is critical. Traditionally, data envelopment analysis (DEA) models have widely been adopted in performance evaluation. However, traditional DEA models cannot accurately evaluate the performance of IACs with complex university–industry interconnections, the internal linkages, or linking activities of knowledge-flow within the decision-making units (DMUs), i.e., the IACs. In order to solve the abovementioned problems, this study defines a multiple objective programming (MOP)-based network DEA (NDEA), with weighting derived from the decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP), or the DANP. The proposed analytic framework can evaluate the efficiency of decision-making units (DMUs) with a network structure (e.g., supply chains, strategic alliances, etc.) based on the weights that have been derived, based on experts’ opinions. An empirical study based on the performance of the patent commercialization of Taiwanese IACs was used to demonstrate the feasibility of the proposed framework. The results of the empirical research can serve as a basis for improving the performance of IAC.

Keywords: industry–academic collaboration (IAC); patent commercialization; network data envelopment analysis (NDEA); multi-objective programming (MOP); NDEA-MOP; multiple-criteria decision-making (MCDM); multiple-objective decision-making (MODM) (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/9/18/2280/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/18/2280/ (text/html)

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:gam:jmathe:v:9:y:2021:i:18:p:2280-:d:636863

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().