Assessment Framework for the Evaluation and Prioritization of University Inventions for Licensing and Commercialization

Rahal, Ahmad; Rabelo, Luis

doi:10.1080/10429247.2006.11431711

Cited by 45 publications

(46 citation statements)

References 34 publications

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“…That is, social networked relationships are embodied within OI. It is plausible that if OI processes are the basis of innovation, then commercialisation success is more likely as noted by scholars (Rahal and Rabelo, ). The literature suggests that innovation actors are the drivers for implementing research activities (Plewa et al ., ) whereas developing research networks (Tether, ) between innovation actors is an important underlying principle of OI (Chiaroni et al ., ).…”

Section: Social Networked Relationshipsmentioning

confidence: 93%

“…Generally, commercialisation success is about converting ideas and new innovations into new marketable products (Chesbrough, ; Adams et al ., ). Although commercialisation is the final step in converting innovations into a successful product, manufacturing and marketing is closely linked to increased gross domestic product and economic development (Rahal and Rabelo, ) in all countries. Frequently, discussions of commercialisation are preceded by innovation.…”

Section: Literature Reviewmentioning

confidence: 99%

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Open Innovation in Universities: The Relationship Between Innovation and Commercialisation

Razak

Murray

Roberts

2014

Knowl Process Manag

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Increasing calls from university stakeholders to optimise innovation capabilities has never been more urgent given the increasing link between industry and universities. However, innovation activities that underpin the commercialisation attempts of universities are seldom translated into commercialisation success. This is mainly attributed to poor management of innovation processes between innovation networks. Empirical evidence indicates that trust relationships between innovation actors are difficult to achieve because of the perceived risk of disclosure, managerial complexity and conflicts of culture. The purpose of this review paper is to examine how open innovation within universities enhances innovation practices that lead to commercialisation success. Other connecting variables that embody trust, motivation to innovate and strategic leadership are equally important. Several hypotheses are developed, and a research model connects the innovation constructs. This paper is expected to make a significant contribution to connecting literatures that inform successful university‐led and industry‐led partnerships. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Social Networked Relationshipsmentioning

confidence: 93%

Section: Literature Reviewmentioning

confidence: 99%

Open Innovation in Universities: The Relationship Between Innovation and Commercialisation

Razak

Murray

Roberts

2014

Knowl Process Manag

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“…A patent consolidates knowledge-based competitive advantages by excluding non-authorised entities from accessing protected technologies. Therefore, the patents help Research and Development (R&D) intensive firms to profit from their long-term investments, after the beginning of product commercialisation (Auerswald 2010;Rahal and Rabelo 2006). Moreover, the patents generated by universities are more likely to be licensed when patenting instruments are effective.…”

Section: Novelty Of Research Outcomesmentioning

confidence: 98%

Determinants of knowledge-based entrepreneurship: an exploratory approach

et al. 2014

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We intend to further the research related to the factors that determine successful entrepreneurial endeavours by academic researchers, and thus put forth an exploratory model of Knowledge-Based Entrepreneurship (KBE). Given the lack of extant adequate indicators, a new scale was developed based on the most frequently cited constructs in the literature. A sample of 1,401 researchers from Portuguese universities was administered a questionnaire and the data collected permitted a validation with regards to the psychometric properties of the questionnaire, to see its applicability to the study. The findings suggest that the absence of a patenting history or start-up portfolio act as significant barriers to academic entrepreneurship. However, when the institutional strategy is to increase patenting and spin-off activities, the university should begin investing in creating a networking environment capable of reinforcing the researchers' Social Capital. Observing the example of successful entrepreneurs motivates other researchers to consider the possibility of developing their own ventures. The Structural Equations Modelling (SEM) approach allowed for us to identify and measure the non-linear relationships that shape the core of KBE and influence the attainment of measurable outcomes aimed at encouraging entrepreneurship. A relatively high share of the variance of the dependent variables is explained by Int Entrep Manag J

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“…Different from other technology transfer research that determines the empirical model by literature analysis (e.g. [27]), our research uses a hybrid SEM based on DEMATEL to construct an evaluation model. The most attractive advantage of SEM is the ability to deal with multi-set relationships between research variables at the same time.…”

Section: B Dematel-semmentioning

confidence: 99%

“…Differing from other technology transfer research that developed an empirical model by literature analysis [27], this research uses a hybrid structural equation modeling (SEM) based on decision making trial and evaluation laboratory (DEMATEL) to construct our evaluation model. SEM is a kind of multivariate technique based on regression methods that combines with path analysis belonging to empirical research methods.…”

Section: Introductionmentioning

confidence: 99%

A novel integrated SEM based on DEMATEL for evaluating technology license income performance

Ken

Huang

et al. 2009

PICMET '09 - 2009 Portland International Conference on Management of Engineering &Amp; Technology

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This study proposes a novel two stage approach which combines DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) with structural equation modeling (SEM) for addressing and identifying the interrelationships of determinants and decision factors that influence or impact technology transfer. In the first stage, DEMATEL analysis is capable of revealing the central components and illustrating the interrelation structure of key factors that influence technology license income. Second, the result of DEMATEL offers SEM for further analyzing technology transfer performance. Research results provide a visualized framework to assist in assessing and predicting technology transfer performance-license income in universities.

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Assessment Framework for the Evaluation and Prioritization of University Inventions for Licensing and Commercialization

Cited by 45 publications

References 34 publications

Open Innovation in Universities: The Relationship Between Innovation and Commercialisation

Open Innovation in Universities: The Relationship Between Innovation and Commercialisation

Determinants of knowledge-based entrepreneurship: an exploratory approach

A novel integrated SEM based on DEMATEL for evaluating technology license income performance

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