Exclusive licensing of university technology: The effects of university prestige, technology transfer offices, and academy-industry collaboration

Shen, Huijun; Coreynen, Wim; Huang, Can

doi:10.1016/j.respol.2021.104372

Cited by 24 publications

(9 citation statements)

References 79 publications

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“…In all three models, the coefficients of knowledge breadth and depth were positive and statistically significant. As shown in Model 4, the coefficient of knowledge breadth is positive (β = 0.134, p = 0.000), with a marginal effect of 0.00273 and the coefficient of knowledge depth is positive (β = 0.691, p = 0.049), with a marginal effect of 0.000530, which is calculated by the “margins” command in Stata to calculate average marginal effects following (Shen et al , 2022). Thus, our hypotheses are strongly supported.…”

Section: Resultsmentioning

confidence: 99%

The effects of knowledge base characteristics on patent pledge financing: the moderating effects of technological munificence and dynamism

Zhang,

Yang,

Yang

et al. 2024

JKM

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Purpose This study aims to examine how the knowledge breadth and depth of a patent affect its likelihood of being pledged. It also seeks to explore whether these relationships change diversely in different technological environments. Design/methodology/approach A complementary log-log model with random effects was conducted to test the hypotheses using a unique data set consisting of 348,927 invention patents granted by the China National Intellectual Property Administration from 1985 to 2015 belonging to 74,996 firms. Findings The findings reveal that both knowledge breadth and depth of a patent positively affect its likelihood of being pledged. Furthermore, the knowledge breadth and depth entail different degrees of superiority in different technological environments. Research limitations/implications This study focuses on the effect of an individual patent’s knowledge base on its likelihood of being selected as collateral. It does not consider the influence of the overall knowledge characteristics of the selected patent portfolio. Practical implications Managers need to pay attention to patents’ knowledge characteristics and the changes in technological environments to select the most suitable patents as collateral and thus improve the success rate of pledge financing. Originality/value This study explores the impact of multidimensional characteristics of knowledge base on patent pledge financing within a systematic theoretical framework and incorporates technological environments into this framework.

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Section: Resultsmentioning

confidence: 99%

The effects of knowledge base characteristics on patent pledge financing: the moderating effects of technological munificence and dynamism

Zhang,

Yang,

Yang

et al. 2024

JKM

View full text Add to dashboard Cite

show abstract

“…Institutions and policies [13][14][15][16][17][18][19][20][21][22][23][24][25][26] Success and failure factors of technology transfer [5,[17][18][19][20][27][28][29][30][31][32][33][34] Technology transfer model Technology transfer process [9,[35][36][37][38][39]41] Case research [23,40,[42][43][44][45][47][48][49][50][51][52] https://doi.org/10.1371/journal.pone.0293951.t001…”

Section: Activation Strategiesmentioning

confidence: 99%

“…However, transferring technology from one stakeholder to another requires the assessment of a broader context [53]. Until now, when evaluating technology transfer, most studies have focused on evaluating organizations that receive technology [9,[24][25][26][30][31][32]. Therefore, the receiving organization has been studied continuously, and evaluating the receiving organization's technical readiness has included evaluating the organization's technical infrastructure, capabilities, and expertise to effectively receive and utilize transferred technology [31,32].…”

Section: Plos Onementioning

confidence: 99%

“…Evaluation method Related Literature Technology Technology Valuation Model [16-18, 20, 25, 32, 46, 47, 54-60, 62, 63] Effectiveness and Efficiency Analysis [4,19,21,61,64,66,67] Path Analysis [24,33,49,50,65,[68][69][70][71] https://doi.org/10.1371/journal.pone.0293951.t002…”

Section: Evaluation Targetmentioning

confidence: 99%

“…The one-way process of adopting foreign technology [19,199] All the activities underpin the transition of a group of factors (such as knowledge, technology, and methods) from scientific research to markets [200][201][202] An active process in which advanced technologies are transferred between two different factors [49] Profitable operation of inter-branch technology transfer [25,41,48,53] The development process to create innovation [17,18,203] The process of creating and trading rights through a patent [23,204] The process of creating and trading rights through patents using the university's reputation [24,52] The process of entering the economy through technology transfer specialists [26,51] The process of implementing technology through projects and programs [32,50] The process of integrating university research into markets. [16,20,127,205,206] The process of introducing new equipment and know-how [62] The process of introducing technology through a business model [47,63] The process of trading technology through the university's technology transfer office [22,33,34,129,207] The two-way process of delivering technology to an organization through a technology transfer office [21] https://doi.org/10.1371/journal.pone.0293951.t004…”

Section: Definition Of Tt Authormentioning

confidence: 99%

See 2 more Smart Citations

Evaluation framework for facilitating the technology transfers of universities: Focusing on the perspective of technology donors

Hong,

Cha,

et al. 2023

PLoS ONE

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Technological innovation and preoccupation with new markets through technological innovation have become critical factors in achieving success in the global market. Currently, companies cannot develop and commercialize all technologies. Therefore, the importance of technology transfers is rapidly increasing. Technology transfer is a crucial strategy adopted by organizations to remain innovative and competitive. However, Korea’s technology transfer rate is only 37.9%. In particular, the technology transfer rate from universities to companies is lower than that from government-funded research institutes in Korea. Although the fundamental approach for resolving barriers to technology transfer have been studied, previous research has been conducted from a narrow definition of technology transfer. Furthermore, previous research has focused on analyzing the success factors of technology transfer, presenting technology transfer processes, or conducting case studies. Therefore, it is necessary to develop a technology donor diagnosis framework based on CSFs (Critical Success Factors) to eliminate obstacles to technology transfers. To lower the barriers to technology transfers, it is necessary to develop a strategy for a successful technology transfer based on the diagnosis of technology donors. This study develops a diagnosis framework for universities from the perspective of technology donors, implements and tests the framework using case studies, and proposes strategies for each stage of technology transfer growth. The framework is able to assess multidimensional perspectives, because CSFs and PMs were extracted based on BSC. Furthermore, by comparing the perspectives score of technology donors in different universities, technology donors can identify the areas in which each university is lacking in its current situation. Multidimensional diagnosis and aggregation score of technology donors offer to extract optimal CSFs for technology transfer activation for each growth stage.

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University-Industry Collaboration: A Way to New Technologies

Yarkent

Mutaf

Temel

et al. 2023

A Sustainable Green Future

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Exclusive licensing of university technology: The effects of university prestige, technology transfer offices, and academy-industry collaboration

Cited by 24 publications

References 79 publications

The effects of knowledge base characteristics on patent pledge financing: the moderating effects of technological munificence and dynamism

The effects of knowledge base characteristics on patent pledge financing: the moderating effects of technological munificence and dynamism

Evaluation framework for facilitating the technology transfers of universities: Focusing on the perspective of technology donors

University-Industry Collaboration: A Way to New Technologies

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