The strategic value of new university technology and its impact on exclusivity of licensing transactions: An empirical study

Berghe, L. van den; Guild, Paul D.

doi:10.1007/s10961-007-9063-x

Cited by 14 publications

(3 citation statements)

References 31 publications

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“…Perceived strategic value can be measured along a number of dimensions, such as: the perceived value of the new product to the customer, the improvement that the new technology brings to current capabilities, the usefulness of the new technology over time, the roadmap for investing in technology, the application of technology to a range of products, the synergy between new technology and existing capabilities, and the contribution of technology to building new strategic capabilities ( VAN DEN BERGHE;GUILD, 2008).…”

Section: Management Practices In Patent Valuationmentioning

confidence: 99%

“…Once the company decides to engage or deepen a research relationship with a university to develop and acquire a new technology, it also represents importance for university innovation managers who need to balance the often conflicting demands of generating adequate returns on investments in research and satisfy the competitive needs of industry partners. Therefore, a balance must be sought between the parties (VAN DEN BERGHE;GUILD, 2008).The main factors considered in the valuation of patents are, in order of importance:market analysis, stage of technological development, comparison with other inventions, established business plan, nature of invention, employee experience and discussion with inventors and experts. The most used non financial metrics are: qualitative factors, characteristics of the invention, economic potential, necessary resources foreseen in the business plan, technological stage and compared opinions between inventors and employees (HALLAM; LEFFEL; CHINEA, 2015).…”

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confidence: 99%

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Práticas gerenciais de valoração de patentes acadêmicas

Silva

Russo

2022

Int. J. Innov.

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Objective: To understand the patent valuation practices developed in the academic context to promote innovation.Methodology: A systematic review of the literature was carried out from the scientific bases Scopus and Web of Science using specific search strings, in which 377 works were found. After applying the defined criteria, eight articles were analyzed.Originality: The study is justified due to the importance of understanding the valuation of academic patents as an inducer of innovation.Main results: The results led to a current understanding of perspectives related to the valuation of academic patents on two fronts: models of academic patent valuation and managerial practices of patent valuation in order to promote innovation.Theoretical-methodological contributions: The research presents an incremental theoretical contribution in the area of valuation of academic patents.Social/Managerial Contributions: Academic patent valuation practices are important mechanisms to induce technological innovation by universities, and the gains are generally defined in the form of royalties.

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Section: Management Practices In Patent Valuationmentioning

confidence: 99%

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confidence: 99%

Práticas gerenciais de valoração de patentes acadêmicas

Silva

Russo

2022

Int. J. Innov.

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“…Proskuryakova [2] and Fraccascia [3] believe that effective internal operations management mechanism is the key to the success of R&D and transformation functional platforms. Berghe [4] evaluated platform's performance based on input-output relationship of platform innovation transformation process and the cooperation and information transfer among partners. Cai [5] uses productivity, vitality and gap market creativity to evaluate platform performance and points out that a healthy and sustainable management mechanism is essential for a successful R&D and transformation functional platforms.…”

Section: Introductionmentioning

confidence: 99%

Evaluating R&D and Transformation Functional Platforms’ Operational Performance Using a Data Envelopment Analysis Model: A Comparative Study

et al. 2019

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The purpose of this paper is to provide a contribution to the development of R&D and transformation functional platforms by identifying key performance influencing factors in the use of data envelopment analysis (DEA) to analyze platform operation performance status and reasons. The DEA method is undertaken to calculate the comprehensive efficiency, pure technical efficiency and scale efficiency of R&D and transformation functional platforms in China's 30 provinces within the period 2016-2018. Based on the 2018 pure technical efficiency and scale efficiency calculations, the K-means clustering method was used to classify the R&D and transformation functional platforms of 30 provinces. Finally, according to the clustering results, the corresponding clustering improvement scheme is given. The operational level of R&D and transformation functional platforms in many provinces of China still needs to be improved: the R&D and transformation capabilities are weak, the market share of leading products is low, the ability of new technology value-added is insufficient, and the development of R&D and transformation functional platforms has regional imbalance. This study is based solely on statistical data, these data alone obviously cannot fully describe and evaluate the real state of R&D and transformation functional platform due to the complexity and diversity of platforms. Further research is needed to generalize beyond the performance indicators constructed in this paper. For the problems of low overall operation efficiency, unbalanced regional development, redundancy of input resources and lack of professional management personnel in the operation of R&D and transformation functional platforms, policy suggestions can be put forward according to clustering results and input and output adjustment values calculated based on relaxation variables. The study presenting a methodology for analyzing R&D and transformation functional platforms' operation performance, and the conclusions will provide reference for the development of platforms and high-tech industries.

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How are companies paying for university research licenses? Empirical evidence from university-firm technology transfer

Aksoy

Beaudry

2021

J Technol Transf

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The strategic value of new university technology and its impact on exclusivity of licensing transactions: An empirical study

Abstract: Strategic value, Technology transfer, University technology, Licensing, Exclusivity, Core competence, O31, O32, O33, O34, L24, L63,

Cited by 14 publications

References 31 publications

Práticas gerenciais de valoração de patentes acadêmicas

Práticas gerenciais de valoração de patentes acadêmicas

Evaluating R&D and Transformation Functional Platforms’ Operational Performance Using a Data Envelopment Analysis Model: A Comparative Study

How are companies paying for university research licenses? Empirical evidence from university-firm technology transfer

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