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

2019 ◽  
Vol 8 (10) ◽  
pp. 286 ◽  
Author(s):  
Oluwaseun Fadeyi ◽  
Petra Maresova ◽  
Ruzena Stemberkova ◽  
Micheal Afolayan ◽  
Funminiyi Adeoye

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.

Author(s):  
Ebru Yüksel Haliloğlu

Today, in addition to teaching and research roles, universities are one of major drivers of economic development and technological progress in society. To propagate technological innovation and industrial development, to implement output of academic research in practice universities should be in close cooperation with industry. University-industry collaborations have various benefits both for universities and industry. Universities gain additional funds for academic research, apply academic knowledge to industry; industry benefits from skilled human resources, new applications, and technological advances. Since university-industry collaborations have great mutual benefits for all partners, it is important to administer these operations effectively. Therefore, it is central to develop some efficiency indicators and efficiency measurement methods so that productive projects can be selected and funded more. This study aims to outline a framework on determinants of university-industry collaboration efficiency and construct a benchmark model to evaluate it using data envelopment analysis.


2019 ◽  
Vol 9 (3) ◽  
pp. 67 ◽  
Author(s):  
Petra Maresova ◽  
Ruzena Stemberkova ◽  
Oluwaseun Fadeyi

Universities play pivotal roles when research findings are to be adopted commercially. Although these roles vary from one country to another, effective patenting and licensing procedures, as well as eventual commercialisation of scholarly inventions, reflect hard work on the part of the University mediating between the researcher and the industry through technology transfer offices (TTOs) in order to ensure that knowledge-developers take motivational and monetary credit for their findings. This paper details some existing models, processes, and roles taken up in some countries where sharing of intellectual property exists, and links it up with aspects of university–industry technology transfer, such as policies surrounding patenting, government investment and marketing, and the process of academic entrepreneurship, among others. 22 articles were found via a systematic review of literature and analysed with respect to four identified areas of focus: internal strategy, investment and market, academic entrepreneurship and policy. Based on models, processes, and roles in reviewed studies, our results indicate that new models for technology transfer mainly stem from the fact that there is no universally accepted model in the literature. Furthermore, management of technology transfer is mostly the responsibility of TTOs in most countries. While university TTOs act as intermediaries to protect the interest of the author/inventor, issues such as poor relationships between universities and industry, as well as funding, remain major challenges in many emerging economies. In contrast, researchers in western economies are mainly challenged by financial motivation and recognition within the academic domains.


2008 ◽  
Vol 26 (5) ◽  
pp. 906-923 ◽  
Author(s):  
Luis Ayala ◽  
Francisco Pedraja ◽  
Javier Salinas-Jiménez

Interest in how social assistance programmes are organized has recently heightened, fed by concerns about the limits on achieving greater efficiency. Most available evidence considers performance indicators that are too general, there being few studies relating the use of inputs to outcomes. We compare different performance indicators of Madrid's programme with resource endowments in a group of local agencies of social services. In addition to constructing a detailed system of input and performance indicators, an empirical analysis of efficiency for each of the social services agencies is carried out using data envelopment analysis. Results confirm that there is a wide margin for obtaining efficiency gains. The empirical analysis shows that some detected inefficiencies arise from an excessive number of staff in relation to the work to be performed. Agencies with a higher incidence of social problems present higher efficiency scores.


Author(s):  
Wahyudi Sutopo ◽  
Rina Wiji Astuti ◽  
Retno Tanding Suryandari

Commercialization strategy is an all-encompassing plan that organizes technology transfer office goals to commercialize a university’s technologies. Measurement strategy requires feasible variables that make up those goals. This strategy also ensures that all variables that are important in measuring contribute to the larger goals. A useful way to assess and explain the effectiveness of the technology transfer office (TTO) of universities is to model this within a production function/frontier framework. Such a production function is typically estimated econometrically. This study presents evidence on the relative efficiency of research commercialization in the university through the data envelopment analysis (DEA) model. The implication of the DEA efficiency result is to derive the efficiency level of the TTO’s strategy from the observed performance. It also helps in identifying the benchmarking of other TTOs, which would be valuable information for improving their new technology commercialization strategy. In detail, a benchmark is provided to improve the weakness of strategy and resource allocation of a poorly performing TTO. The proposed matrix of indicators is an exploit of how performance could be measured within the decision-making units that have been chosen. By introducing the measure to commercialization strategy framework the development of technology transfer offices policies are considered.


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