Measuring the efficiency of university technology transfer

Anderson, T.R.; Daim, Tuğrul U.; Lavoie, Francois F.

doi:10.1016/j.technovation.2006.10.003

Cited by 273 publications

(181 citation statements)

References 45 publications

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“…Yet, these national innovation systems appear to have evolved into weak entities, with human capital remaining low and science and technology institutions, especially universities, not fully performing an enabling role (Bebbington and Thiele 1993;Bastos and Cooper 2005;Beddington and Farrington 2007;Metcalfe 2010). A multitude of challenges have been identified in the literature, covering a broad geography (Bercovitz and Feldman 2006;Anderson, Daim and Lavoie 2007;Decter, Bennett and Leseure 2007;Hervas-Oliver et al 2012;Ranga and Etzkowitz 2013). These relate to overcoming cultural/epistemic differences, defining accurately end-user needs, demonstrating the benefits of new technologies to potential end-users, providing 'knowhow' and taking advantage of government institutions and networks that facilitate dissemination and influence user acceptance.…”

Section: Introductionmentioning

confidence: 99%

Intermediation for technology diffusion and user innovation in a developing rural economy: a social learning perspective

Theodorakopoulos

Bennett

Preciado

2014

Entrepreneurship & Regional Development

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Technology intermediaries are seen as potent vehicles for addressing perennial problems in transferring technology from university to industry in developed and developing countries.This paper examines what constitutes effective user-end intermediation in a low technology, developing economy context, which is an under-researched topic. The social learning in technological innovation (SLTI) framework is extended using situated learning theory in a longitudinal instrumental case study of an exemplar technology intermediation programme.The paper documents the role that academic-related research and advisory centres can play as intermediaries in brokering, facilitating and configuring technology, against the backdrop of a group of small-scale pisciculture businesses in a rural area of Colombia. In doing so, it demonstrates how technology intermediation activities can be optimised in the domestication and innofusion of technology amongst end-users. The design components featured in this instrumental case of intermediation can inform policy making and practice relating to technology transfer from university to rural industry. Future research on this subject should consider the intermediation components put forward, as well as the impact of such 2 interventions, in different countries and industrial sectors. Such research would allow for theoretical replication and help improve technology domestication and innofusion in different contexts, especially in less developed countries.Keywords -university-to-industry intermediation, regional development, technology transfer, innofusion, situated learning, rural industry. IntroductionRegional development policy in Latin America has been geared toward creating national systems framework is extended by using situated learning theory (Lave and Wenger 1989;Brown and Duguid 1991, 1998Wenger 1998Wenger , 2000Swan, Scarbrough and Robertson 2002) to create a potent analytical lens. The focus here is on the mechanism of a certain type of technology intermediation programmes, i.e. run by academic-related/third sector research and advisory centres, within a low technology/traditional industry sector in a developing economy setting.The level of analysis is a successful intervention programme undertaken by a regional thirdsector intermediary, bringing together academic, local government and pisciculture industry stakeholders. This particular programme was designed to address the lack of technology transfer to small pisciculture agribusinesses, which is deemed as an issue of strategic priority in Colombia, given the importance attached to the expansion of key rural industries (Cruz-Casalias, Medina-Robles and Velasco-Santamaria 2011).The paper is organised as follows. The second section delineates the theoretical background, explicating the constituent elements of situated learning theory used to extend

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Section: Introductionmentioning

confidence: 99%

Intermediation for technology diffusion and user innovation in a developing rural economy: a social learning perspective

Theodorakopoulos

Bennett

Preciado

2014

Entrepreneurship & Regional Development

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“…Overall, we selected a total of six papers, of which four deal with the US (i.e. Thursby and Kemp, 2002;Siegel et al, 2003;Anderson et al, 2007), one with the UK (Chapple et al, 2005), one with Spain (Caldera and Debande, 2010) and one based on a crosscountry comparison US vs. UK TTOs (Siegel et al, 2008). This strand of literature focuses on the performance measurement with two crucial policy-related questions in mind: the first is "Should TTOs improve their ability to operate by adjusting their production mix?…”

Section: A Selected Review Of the Literaturementioning

confidence: 99%

“…For instance, the works by Thursby and Kemp (2002) and Anderson et al (2007) is based on DEA approach, allowing for the multi-outputs structure. Outputs are measured both in terms of physical and monetary values such as the number of licences executed, the number of invention disclosures, the number of patent applications and the amount of industry sponsored research and royalties received.…”

Section: A Selected Review Of the Literaturementioning

confidence: 99%

“…However, empirical evidence is controversial. Some papers show that the presence of medical school dampens the efficiency of US (e.g., Thursby and Kemp, 2002;Anderson et al, 2007) as well as of UK TTOs when their strategy is license income maximization (Chapple et al, 2005). This efficiency reduction may be related to the heavy services commitments of medical school or to differences in the health product market.…”

Section: A Selected Review Of the Literaturementioning

confidence: 99%

“…For instance, inputs used today will produce outputs in the coming years. In order to prevent any error from time lags, we base our analysis on 5-year (from 2003 to 2007) averages of the data, as in previous studies (e.g., Thursby and Kemp, 2002;Anderson et al, 2007). Although several universities reported numerous zeros, we end up with a database comprehensive enough to carry out an efficiency assessment: 51 TTOs, covering all the categories of disciplinary fields of the related university: Table 2 presents the summary statistics of input and output variables for the pooled sample according to the categories of disciplinary field of the related university.…”

Section: Selected Inputs and Outputsmentioning

confidence: 99%

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University Technology Transfer: How (In-)Efficient are French Universities?

2012

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This paper presents the first assessment of the efficiency of the technology transfer operated by the French university system and its main determinants. The analysis is based on a detailed and original database of 51 TTOs, categorized by type of university they belong to, over the period 2003-2007. Overall, we find a low level of efficiency and both intra-category and inter-categories efficiency variation. The analysis of determinants showed that French TTOs efficiency depends extensively on the nature of the category (with universities specialised in science and engineering being the most efficient ones), on institutional and environmental characteristics. We found that both the seniority of TTO and size of the university have a positive effect. In terms of environmental variables, the intensity of R&D activity (both private and public) has a positive impact; however, in terms of growth rate, only the Private R&D activity seems to be the main driver. Lastly, we find that the presence of a university-related hospital is detrimental for the efficiency. An extended discussion of the results within the existing literature is also offered.

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From Invention to Innovation

2024

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Measuring the efficiency of university technology transfer

Cited by 273 publications

References 45 publications

Intermediation for technology diffusion and user innovation in a developing rural economy: a social learning perspective

Intermediation for technology diffusion and user innovation in a developing rural economy: a social learning perspective

University Technology Transfer: How (In-)Efficient are French Universities?

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