Mapping the university technology transfer process

1997 ◽  
Vol 12 (6) ◽  
pp. 423-434 ◽  
Author(s):  
Brian Harmon ◽  
Alexander Ardishvili ◽  
Richard Cardozo ◽  
Tait Elder ◽  
John Leuthold ◽  
...  
2020 ◽  
Vol 17 (05) ◽  
pp. 2050038
Author(s):  
Renissa S. Quiñones ◽  
June Anne A. Caladcad ◽  
Hubert G. Quiñones ◽  
Charena J. Castro ◽  
Shirley Ann A. Caballes ◽  
...  

Translating university technology via the university–industry route faces an array of challenges. Subsequently, understanding the interrelationships of these challenges hopes to provide a better outlook on the complex nature of the university technology transfer (UTT) process. Such an agenda remains a gap in the domain literature. To advance this oversight, this study intends to identify the UTT challenges and determine their complex contextual relationships. The interpretative structural modeling, together with the MICMAC analysis, was sequentially adopted to derive the overarching structure of the challenges of UTT. A case study in a public university in the Philippines was conducted to carry out these objectives. Findings show that time constraints, knowledge being too theoretical, high costs of managing joint research projects, complex organizational structure, institutional bureaucracy, geographic distance, and lack of national benchmark are driving challenges that influence other challenges in impeding UTT in the representative Philippine university. These findings provide policy insights to key decision-makers and stakeholders on the success of technology transfers.


2010 ◽  
Vol 35 (6) ◽  
pp. 585-596 ◽  
Author(s):  
Ahmed Alshumaimri ◽  
Taylor Aldridge ◽  
David B. Audretsch

Author(s):  
Renissa Quiñones ◽  
June Anne Caladcad ◽  
Hubert Quiñones ◽  
Shirley Ann Caballes ◽  
Dharyll Prince Abellana ◽  
...  

The University technology transfer (UTT) process is hindered by various barriers to achieving a successful translation of innovative technologies from universities to industries and other partners. Identifying these various barriers and understanding their interrelationships would provide a better understanding of the complex nature of the UTT process, which may be considered as inputs to crucial decision-making initiatives. This paper addresses this gap by holistically determining UTT barriers and their intertwined relationships. Using the Delphi method and fuzzy cognitive mapping, a case study in a state university in the Philippines was conducted to carry out this objective. The Delphi process extracts 24 relevant barriers of UTT, out of 46 barriers obtained from a comprehensive review of the extant literature. The results show that misalignment between research and commercialization objectives is the barrier that was influenced most by the other barriers. In contrast, high costs of managing joint research projects in terms of time and money and institutional bureaucracy have the highest out-degree measures or are the barriers that influence other barriers the most. These findings provide guidelines to various stakeholders and decision-makers in understanding the existence of barriers in the formulation of strategies and initiatives for a successful UTT process.


2016 ◽  
Vol 16 (1) ◽  
pp. 35-60 ◽  
Author(s):  
Changhong Yuan ◽  
Yang Li ◽  
Cristina O. Vlas ◽  
Mike W. Peng

University technology transfer allows universities to extract benefits from their research. We examine how universities can create and capture value from their technology creation and technology commercialization efforts by embracing a dynamic capabilities perspective. Our longitudinal analysis involves 829 universities and 3908 university-year observations in 30 subnational regions (provinces) in China during a 6-year period. Our findings reveal (1) that universities create more ideas and capture more licensing value through dynamic management and active orchestration of assets, (2) that a developed factor market accelerates value creation and commercialization, and (3) that a developed institutional environment at the subnational level stimulates value creation but inhibits value capture. These interesting findings justify a dynamic capabilities perspective of the university technology transfer process while opening avenues for future research.


Sign in / Sign up

Export Citation Format

Share Document