Assessing the productivity of technology transfer offices: an analysis of the relevance of aspiration performance and portfolio complexity

Lafuente, Esteban; Berbegal‐Mirabent, Jasmina

doi:10.1007/s10961-017-9604-x

Cited by 55 publications

(43 citation statements)

References 53 publications

(103 reference statements)

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“…It was observed that the efficiency of most departments improved within the period under review, even though this improvement could not be explained, given factors such as the number of faculties with PhDs and university location, among other things. The result also follows that of Lafuente and Berbegal-Mirabent (2019), who suggested, using the Malmquist index, that efficiency can be boosted by creating benchmarking of their own productivity levels within the market in comparison to those of other Spanish universities within a five-year period. In order to compare the influence of local and international innovation systems on the overall efficiency of the Chinese innovation system, Qin and Du (2017) utilized direct investments from foreign nations and cooperation between industry and universities as key factors to point to the invention of technology, as well as its commercialization, as input and output.…”

Section: Number Of Equity Spin-offssupporting

confidence: 82%

Perspectives of University-Industry Technology Transfer in African Emerging Economies: Evaluating the Nigerian Scenario via a Data Envelopment Approach

Fadeyi

Stemberkova

Afolayan³

et al. 2019

Social Sciences

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All of Africa’s emerging economies are faced with developmental challenges, which can be partly ameliorated using effective University–Industry technology transfer. While technology transfer remains at the infant stage, sparsely documented, and with no complex ongoing processes in many African societies, Universities in Africa are making efforts in University–Industry collaborations aimed at bringing significant improvements to the continent in a bid to drive national innovation and regional economic development. In this paper, we attempt to evaluate the progress made so far by Nigerian Universities in technological innovation transfer, in order to suggest ways for possible future progress. To do this, crucial technology transfer resource factors (inputs), namely, the number of linkage projects funded by the “African Research Council” (ARC), consortium membership of the University’s technology transfer office, and the number of doctoral staff at the University’s technology transfer office, were checked against a set of performance measures (number of executed licenses, amount of licensing royalty income, number of spin-offs created, and the number of spin-offs created with university equity), using data envelopment analysis and multiple regression, respectively. Results suggest that Universities that possess better resource factors reported higher outputs on most of the performance indicators applied. In addition, it was observed that Universities with greater ability to effectively transfer knowledge had higher technology commercialization performance and financial sustainability. The implication of these results is that Universities in Africa need to develop in line with the technology transfer resource (input) factors suggested within this study, as this is the way to go for better performance.

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Section: Number Of Equity Spin-offssupporting

confidence: 82%

Perspectives of University-Industry Technology Transfer in African Emerging Economies: Evaluating the Nigerian Scenario via a Data Envelopment Approach

Fadeyi

Stemberkova

Afolayan³

et al. 2019

Social Sciences

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“…Face-to-face semi-structured interviews were conducted with the different industrial liaison in Sweden and Ireland. Five (5) to six (6) people were interviewed from each university in Sweden and industrial liaison office representatives were interviewed in each university in Ireland. Data gathered from these universities were subjective to qualitative analysis.…”

Section: Barriers Of University Technology Transfer (Utt)mentioning

confidence: 99%

“…The United Nations Industrial Development Organization (UNIDO) [4] defined technology transfer as the process by which a collected entity (i.e., an act of manufacturing a product, application of a process, execution of service) is conveyed, partially or wholly, from one party to another. Generally, technology transfer is used as a tool to disseminate and commercialize intellectual properties, converting it to products for public use [5,6]. While their usual medium is commercialization, community extension services are becoming increasingly popular platforms.…”

Section: Introductionmentioning

confidence: 99%

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Open Innovation with Fuzzy Cognitive Mapping for Modeling the Barriers of University Technology Transfer: A Philippine Scenario

Quiñones

Caladcad

Quiñones

et al. 2019

Journal of Open Innovation: Technology, Market, and Complexity

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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.

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“…Moreover, while older TTOs positively contribute to the performance of French TTOs in the short run, young TTOs with hospitals seem to contribute negatively to the efficiency of the entire system (Curi, Daraio, & Llerena, 2015). Lafuente and Berbegal-Mirabent (2017) have analysed the productivity of Spanish TTOs during 2006-2011 by computing total factor productivity models rooted in non-parametric techniques, namely, the Malmquist index (Lafuente & Berbegal-Mirabent, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

MULTIMOORA as the instrument to evaluate the technology transfer process in higher education institutions

Stankevičienė¹,

Maditinos²,

Kraujalienė³

2019

Economics &Amp; Sociology

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This paper is presenting the model to assess the technology transfer (TT) process economic performance of universities. The main indicators were identified and empirical research with MULTIMOORA tool was performed on 7 Lithuanian state-funded universities. The data was gathered from the Research Council of Lithuania official public report for the period of [2012-2014]. The research results show that MULTIMOORA tool fits to evaluate the TT process economic performance of HEIs. The proposed model is applicable to assess different results of TT process activities in HEIs. MULTIMOORA is a multi-criteria non-subjective evaluation tool, allowing to increase the choices of alternatives and features, serving to select the best alternatives, moreover, enabling more efficient allocation of financial and human resources. MULTIMOORA tool allows extending the implementation onto other countries.

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Assessing the productivity of technology transfer offices: an analysis of the relevance of aspiration performance and portfolio complexity

Cited by 55 publications

References 53 publications

Perspectives of University-Industry Technology Transfer in African Emerging Economies: Evaluating the Nigerian Scenario via a Data Envelopment Approach

Perspectives of University-Industry Technology Transfer in African Emerging Economies: Evaluating the Nigerian Scenario via a Data Envelopment Approach

Open Innovation with Fuzzy Cognitive Mapping for Modeling the Barriers of University Technology Transfer: A Philippine Scenario

MULTIMOORA as the instrument to evaluate the technology transfer process in higher education institutions

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