Beyond formal university technology transfer: innovative pathways for knowledge exchange

Patent output and patent transfer network in China universities: Moderating roles of absorptive capacity and desorptive capacity

Although absorptive capacity and desorptive capacity has been widely present in university-industry relationships, there has been no research on their potential impact on the relationship between university patent output and university patent transfer network. We constructed datasets of patent applications and patent transfers to firms from 383 universities between 2002 and 2021 in China, and empirically demonstrated the effect of the patent output on university patent transfer network using negative binomial regression models. We also examined the moderating effects of absorptive capacity and desorptive capacity. The results reveal that university patent output positively affects the size and the connection strength of the university patent transfer network. Technology transfer offices and satellite institutions, for desorptive capacity in universities, negatively moderate the relationship between the university patent output and the university patent transfer network, respectively. For absorptive capacity in firms, research and development intensity of new products and the level of research and development personnel input, respectively, have a positively moderate effect on the relationship between the university patent output and the university patent transfer network. Our research provides insights into the dynamics of the university patent transfer network; especially against the backdrop of a sharp increase in university patent output and insufficient development of the university patent transfer network, this study provides evidence to the substitution effect of desorptive capacity in universities and the bidirectional effect of absorptive capacity in firms.

Micro-foundations of dynamic capabilities to facilitate university technology transfer

Within the university-industry ecosystem, improvement and innovation of technology transfer involve implementing appropriate dynamic capabilities. To answer the question-What are the micro-foundations of dynamic capabilities in university technology transfer?-this study investigates in-depth organizational-level dynamic capabilities in transferring university-based knowledge to business and society. Two qualitative case studies were deployed at organizational entities at Vrije Universiteit Amsterdam: the Industry Alliance Office, and the Demonstrator Lab. These two organizations stimulate science- and business-oriented university technology transfer. In this context, the micro-foundations of the dynamic capabilities "sensing", "seizing" and "reconfiguring" are identified and discussed. For "sensing", which is the university's ability to explore the opportunities in the ecosystem, the micro-foundations are "selecting internal competency" and "sensing external partners". For "seizing", which supports universities in managing complementarity with industry and society, micro-foundations include "resource co-allocation" and "collaborative business model". The micro-foundations of "reconfiguring", through which universities maintain evolutionary fitness in the innovation ecosystem, are "strategic renewal", "establishing a university technology transfer-friendly environment", and "asset orchestration". This study provides researchers with a better understanding of how dynamic capabilities facilitate university technology transfer. Industrial practitioners and policymakers can consider the suggestions of the present study when pursuing collaboration with universities.

Systematic analysis of 50 years of Stanford University technology transfer and commercialization

This article systematically investigates the technology licensing by Stanford University. We analyzed all the inventions marketed by Stanford’s Office of Technology Licensing (OTL) between 1970 to 2020, with 4,512 inventions from 6,557 inventors. We quantified how the innovation landscape at Stanford changed over time and examined factors that correlate with commercial success. We found that the most profitable inventions are predominantly licensed by inventors’ own startups, inventions have involved larger teams over time, and the proportion of female inventors has tripled over the past 25 years. We also identified linguistic features in how the inventors and OTL describe the inventions that significantly correlate with the invention’s future revenue. Interestingly, inventions with more adjectives in their abstracts have worse net income. Our study opens up a new perspective for analyzing the translation of research into practice and commercialization using large-scale computational and linguistics analysis.

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Computational analysis of 4,512 inventions marketed by Stanford OTL since 1970

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Most profitable inventions are predominantly licensed by inventors’ own startups

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Inventions involved larger teams over time

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Marketing abstracts predict future revenue of inventions

Universities play an increasingly central role in research innovations and commercialization that drive technological development and economic growth. However, in-depth data science analysis of university technology transfer is underexplored in literature because the relevant data is often unavailable. To address this gap, we collaborated with the Stanford University Office of Technology Licensing (OTL) to curate a comprehensive dataset of all 4,512 inventions marketed by the OTL between 1970 to 2020. We have detailed information about each invention together with its generated revenue and cost, which critically captures outcomes missing in previous works. Examples of technologies licensed from Stanford include PageRank, recombinant DNA, and music synthesizers. Our study opens up a new perspective for analyzing the translation of research into practice and commercialization using large-scale computational and linguistics analysis.

Translational research: from basic research to regional biomedical entrepreneurship

This paper examines the effect of translational research on knowledge production and biomedical entrepreneurship across U.S. regions. Researchers have earlier investigated the outputs of translational research by focusing on academic publications. Little attention has been paid to linking translational research to biomedical entrepreneurship. We construct an analytical model based on the knowledge spillover theory of entrepreneurship and the entrepreneurial ecosystem approach to examine the relationship between translational research, biomedical patents, clinical trials, and biomedical entrepreneurship. We test the model across 381 U.S. metropolitan statistical areas using 10 years of panel data related to the NIH Clinical and Translational Science Awards (CTSA) program. CTSA appears to increase the number of biomedical patents and biomedical entrepreneurship as proxied by the NIH Small Business Innovation Research (SBIR) grants. However, the magnitudes of the effects are relatively small. Path analysis shows that the effect of translational research on regional biomedical entrepreneurship is not strongly conveyed through biomedical patents or clinical trials.

Academic artists’ engagement and commercialisation

Academic artists are researchers who create artistic work. They form part of the cultural life of cities and contribute to welfare not only through research but also through art. They may commercialise their art or use it to engage in scientific knowledge diffusion. We seek to understand the relationship between art, academic commercialisation and engagement, and detect barriers to academic art. The resources needed to develop and diffuse art in addition to conducting research may be incompatible with a career focused on science quality or an organisational logic based on teaching and pure basic research. We study the responses to a survey of some 7,000 Spanish academics and compare university researchers to other researchers. More than half of the researchers surveyed create artistic work; however, whereas engagement is the norm rather than the exception, commercialisation is rare. Working in a university and producing good quality science run counter to being an artist. The detrimental effect of science quality on being a commercial or engaged artist turns positive after a certain threshold, which suggests polarisation among academic artists. Among commercial artists, this polarisation seems to apply specifically to university researchers. We discuss the implications for the valorisation of art across knowledge transfer channels and in research evaluations.

Task complementarity in academic work: a study of the relationship between research, education and third mission tasks among university professors

Professors have multiple responsibilities and tasks. They should contribute to research, teaching and ‘third mission’ activities such as commercialisation of scientific knowledge and industry collaboration. These tasks are expected to be complementary and that synergies between different tasks can lead to positive outcomes. But are professors’ work tasks really complementary or are they rather characterised by trade-offs, and what are the implications of having multiple tasks for academic performance? This study of tenured academic staff in Norwegian universities, observe that there are many positive associations between academic tasks. The data supports the assumption that student supervision is positive for research performance, as is research collaboration with public and private organisations. We also find a positive association between student supervision and participation in third mission activities, but only with research collaboration and not commercialisation activities. The data also indicates that the combined effect of participation in third mission and teaching activities is neither negative nor positive for research performance, and as such we do not find indications that having multiple task is negative for work performance in the form of research output.

Improving Education for Innovation and Entrepreneurship in Chinese Technical Universities: A Quest for Building a Sustainable Framework

The global economic trends and the winds of technological change have elevated the status of integration between industry and education for innovation and entrepreneurship to that of being a national strategic priority of China. However, for a long time prior to that, the many differences between the industrial and educational systems have caused a rift between education for innovation and entrepreneurship and professional education, a profound disconnection between professional education and the local industries, and the subsequent disinterest of entrepreneurial mentors. In this paper, we analyze the status of education for innovation and entrepreneurship in Chinese technical universities. It is pointed out that technical universities should deepen the integration between the industry and education for innovation and entrepreneurship in order to mitigate the imbalance between the supply side of the higher education talent training and the demand side of industrial development. It is also argued that technical universities should change their talent training paradigm, which includes a makeover of the organizational structure and of the curricular system, as well as make amends in the innovation ecosystem with respect to the organization of incubation platforms and of teacher–student teams, in order to promote national and regional economic development, as well as social progress. A method to evaluate the performance of the education for innovation and entrepreneurship in Chinese technical universities, based on specific performance indicators including patents filled, publications, awards in competitions, and acquired funding and on certain non-specific ones including organizational arrangements and satisfaction rates, is presented and then applied to the specific case of the Changzhou Institute of Technology.

How to foster innovation in SMEs: evidence of the effectiveness of a project-based technology transfer approach

One of the main challenges in technology transfer is to actively involve small and medium-sized enterprises (SMEs)—which are most in need of and benefit the most from collaborative Research and Development (R&D) programs. This study presents a large-scale collaboration program which focuses on project-based technology transfer in SMEs with little to no prior experience in collaborative research projects. The core of this collaboration program is the temporary secondment of scientists from a Research and Technology Organization (RTO) into an SME to jointly work on a practical project objective—which is directly tailored to the demands of the SME. To evaluate the effectiveness of this approach in overcoming barriers related to finding the right collaboration partner, limited resources, and limited absorptive capabilities, we adopt the R&D Lifecycle Model as a theoretical framework. Our findings, using self-reported and objective data from 106 different projects in a structural equation model, highlight that most SMEs in the considered cluster environment not only successfully mastered a challenging topic in the context of industry 4.0 that immediately benefits the organization, but also engaged in new R&D projects to strengthen their scientific and technical human capital in the long term. Moreover, consistent with previous literature, we found that trust is the main driver within the R&D Lifecycle Model both in building capabilities and economic growth. Based on these insights, we consider a long and close secondment of scientists to SMEs as key for collaboration projects and discuss implications for research and future technology transfer approaches.

How firms use coordination activities in university–industry collaboration: adjusting to or steering a research center?

University–industry collaboration (UIC) is an important source of knowledge and innovation for firms but is often challenging due to the partners’ different goals. Thus, formal research centers have become a key policy instrument to foster stronger UIC whereby strong mutual relationships are created. This study investigates the establishment of a university–industry research center to gain insights into the coordination activities the focal firms used to achieve their goals with UIC. We find that the firms with goals related to specific innovations and technology development took a more active role by using structured coordination activities in the preformation phase of the research center, whereas the firms with goals related to general knowledge development mainly coordinated through unstructured activities when the center began operations. We map the specific coordination activities used in UIC and theorize on how the partners’ different organizational goals influenced their use of these activities. Our findings have important implications for how activities in UIC, particularly in research centers, can be designed to strengthen the collaboration between universities and their firm partners to enhance knowledge development and innovation.

Knowledge transfer to industry: how academic researchers learn to become boundary spanners during academic engagement

Research on academic engagement and technology transfer or commercialization offers important insights into the relationship between characteristics, activities and abilities of individual academic researchers, with outcomes such as successful technology transfer and commercialization. In particular, the activity of boundary spanning proves central in the successful transfer and commercialization of university developed technologies. However, the process by which academic researchers become boundary spanners remains relatively unexplored. This investigation serves to shed new light on the matter. We draw on an in-depth case study of a large European publicly funded initiative, directed to stimulate industry adoption of a university-developed technology across Europe. Our rich dataset is a result of following the project from start to finish, triangulating from multiple sources over a three-year period. Our analyses offer novel insight into the role of perspective taking as a mechanism both enabling academics to understand knowledge boundaries faced during engagement activities and a critical input to developing and improving boundary spanning abilities. Our findings offer important implications for research on academic engagement and technology commercialization.

Students as scientists’ co-pilots at the onset of technology transfer: a two-way learning process

To provide further knowledge and technology transfer to society, universities are exploring new collaborative models. These new models are regarded as promising alternatives to the patent-centric linear model. However, their implementation requires revising the roles of the actors in the technology transfer process and their relationships. While collaborative models could indeed be an attractive option for universities, there is limited evidence on how these collaboration processes could be effectively introduced. We use a longitudinal embedded multiple case study to explore the contribution of knowledge interactions between scientists and students in the preliminary steps of the technology transfer process. We investigate the learning dynamics between the focal actor, i.e., the scientist, and the students in a university setting to decipher how the introduction of such collaborative processes can contribute to knowledge and technology transfer. Our results suggest that students enrolled in an educational program can contribute to the scientist’s interest and engagement in technology transfer. However, we find out that the extent of the students’ contribution depends on the shared consensus over the technology function and the openness of the scientist to reconsider the technology’s meaning. We contribute to the ongoing exploration of alternative models for technology transfer and the identification of additional roles that students can take in entrepreneurial university ecosystems.

Challenges and potential solutions for nanosensors intended for use with foods

Nanotechnology-adapted detection technologies could improve the safety and quality of foods, provide new methods to combat fraud and be useful tools in our arsenal against bioterrorism. Yet despite hundreds of published studies on nanosensors each year targeted to the food and agriculture space, there are few nanosensors on the market in this area and almost no nanotechnology-enabled methods employed by public health agencies for food analysis. This Review shows that the field is currently being held back by technical, regulatory, political, legal, economic, environmental health and safety, and ethical challenges. We explore these challenges in detail and provide suggestions about how they may be surmounted. Strategies that may have particular effectiveness include improving funding opportunities and publication venues for nanosensor validation, social science and patent landscape studies; prioritizing research and development of nanosensors that are specifically designed for rapid analysis in non-laboratory settings; and incorporating platform cost and adaptability into early design decisions.

Measuring knowledge spillovers transfer from scholars in business schools: validation of a multiple-item scale

Purpose

The purpose of this paper is to develop and validate a 12-item scale of knowledge spillovers transfer (KST) from scholars in business schools to practitioners outside academia.

Design/methodology/approach

A sample of 807 faculty members from 35 Canadian business schools was used for the psychometric evaluation of the questionnaire. The reliability of the scale was assessed by Cronbach’s alpha. The construct validity was examined through exploratory and confirmatory factor analyses. The nomological validity was assessed by analyzing the prediction of two output indicators by means of KST using structural equation modeling and by testing differences in KST according to other related variables.

Findings

The psychometric properties obtained indicate that the instrument is reliable and valid, which invites to its use as a diagnostic tool of KST from scholars in business schools to users outside academia.

Research limitations/implications

The KST questionnaire developed and validated in this study can be considered as a useful practical tool enabling the assessment of business scholars’ KST activities.

Practical implications

The KST questionnaire developed may enlighten business schools’ administrators and policy-makers to identify and implement actions to improve the transfer of knowledge between research and practice.

Originality/value

To the best of the authors’ knowledge, despite the wide range of quantitative measures proposed in the literature, this is the first study that aims to present a comprehensive, accurate and validated scale to measure KST from scholars in business schools to practitioners outside academia.