The Experts below are selected from a list of 5616 Experts worldwide ranked by ideXlab platform
Dennis R Trune - One of the best experts on this subject based on the ideXlab platform.
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University Technology Transfer Programs: A Profit/Loss Analysis
Technological Forecasting and Social Change, 1998Co-Authors: Dennis R Trune, Lewis N GoslinAbstract:Abstract An analysis was made of the financial profitability/loss of Technology Transfer programs in U.S. universities, hospitals, and research centers for 1995. Data were extracted from the AUTM (Association of University Technology Managers) survey and other published information. Royalty payments were compared to estimates of Technology Transfer Office costs, patent fees, legal expenses, and new research grants. Approximately half of the programs in these institutions appeared to operate at a profit, albeit some had profits of several million dollars. Many smaller university Technology Transfer programs have been in existence only 5–10 years and presumably have not Transferred sufficient Technology for a profitable royalty stream. When estimates were made of institution funds that are spent locally, the community benefit of Technology Transfer programs was $434 million.
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university Technology Transfer programs a profit loss analysis
Technological Forecasting and Social Change, 1998Co-Authors: Dennis R Trune, Lewis N GosliAbstract:Abstract An analysis was made of the financial profitability/loss of Technology Transfer programs in U.S. universities, hospitals, and research centers for 1995. Data were extracted from the AUTM (Association of University Technology Managers) survey and other published information. Royalty payments were compared to estimates of Technology Transfer Office costs, patent fees, legal expenses, and new research grants. Approximately half of the programs in these institutions appeared to operate at a profit, albeit some had profits of several million dollars. Many smaller university Technology Transfer programs have been in existence only 5–10 years and presumably have not Transferred sufficient Technology for a profitable royalty stream. When estimates were made of institution funds that are spent locally, the community benefit of Technology Transfer programs was $434 million.
Enrique Herreraviedma - One of the best experts on this subject based on the ideXlab platform.
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a hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office
Information Sciences, 2012Co-Authors: Carlos Porcel, Alvaro Tejedalorente, M A Martinez, Enrique HerreraviedmaAbstract:Recommender systems could be used to help users in their access processes to relevant information. Hybrid recommender systems represent a promising solution for multiple applications. In this paper we propose a hybrid fuzzy linguistic recommender system to help the Technology Transfer Office staff in the dissemination of research resources interesting for the users. The system recommends users both specialized and complementary research resources and additionally, it discovers potential collaboration possibilities in order to form multidisciplinary working groups. Thus, this system becomes an application that can be used to help the Technology Transfer Office staff to selectively disseminate the research knowledge and to increase its information discovering properties and personalization capacities in an academic environment.
Ciara Fitzgerald - One of the best experts on this subject based on the ideXlab platform.
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Business Model Framework: Operational Considerations
Effective Technology Transfer Offices, 2020Co-Authors: James Cunningham, Brian Harney, Ciara FitzgeraldAbstract:There are many operational considerations in establishing and running an effective Technology Transfer Office. For business model framework operational considerations, we focus on policies and procedures, Technology Transfer mechanisms, evaluation, and outcomes. The culture and ethos for commercialisation and researcher motivation is also explored and how this can shape Technology Transfer activities. We conclude with some lessons that focus on taking a strategic approach using key issues, factors for success, and facilitating factors.
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Inside the university Technology Transfer Office: mission statement analysis
The Journal of Technology Transfer, 2015Co-Authors: Ciara Fitzgerald, James CunninghamAbstract:The focus of our paper is to qualitatively explore the mission statements components of university TTOs using Pearce and David’s (Acad Manag Exec 1(2):109–115, 1987) eight components. Mission statements are the organization’s central defining purpose and focus. In essence an organizations’ raison d’etre. Given the growing importance of the role TTOs now play, understanding components of mission statements is timely, particularly during the first phase of TTO developments. To provide insights concerning these issues our study is set in the Republic of Ireland, which has one of the top performing university and public research organization Technology Transfer system within the European Union. Using Pearce and David (1987) well established eight mission statement components we analyzed seven Irish university TTO mission statements. We also conducted quantitative analysis on the number of mission statement components and selected variables. We found that university TTO mission statements focused primarily on two mission components—target customers and markets and principal services. From our quantitative analysis we found moderate positive correlations between patents granted and number of mission statement components. Furthermore we found there was a positive correlation between grants granted outside of Ireland and the number of mission components. Our results, albeit they are tempered by a small sample of data, have pertinent implications for TTOs.
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Technology Transfer Offices as a nexus within the triple helix: the progression of the university's role
International Journal of Technology Management, 2015Co-Authors: Will Geoghegan, Conor O'kane, Ciara FitzgeraldAbstract:The prospect of increased revenue and spillovers has influenced the mission of the university to reflect an increasingly commercial orientation. This paper focuses on university commercialisation in three countries (Ireland, New Zealand and the USA), through 58 semi-structured interviews with Technology Transfer Officers and a quantitative assessment of university patenting trajectories. Using interviews with Technology Transfer Office executives and university patent applications as proxies for commercial orientation, the study uncovers explanations to the heterogeneous commercial orientation apparent in all three regions. Findings indicate that path dependency; university leadership; Technology Transfer Office scale and connectivity are critical determinants of commercial orientation. The paper concludes by surmising how path dependency might strongly dictate the other determinants and outlines some implications for literature and policy development.
Carlos Porcel - One of the best experts on this subject based on the ideXlab platform.
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Using a Recommender System to Help the Technology Transfer Office Staff to Disseminate Selective Information
Atlantis Computational Intelligence Systems, 2012Co-Authors: Carlos Porcel, M A Martinez, Álvaro Tejeda-lorente, Enrique Herrera-viedmaAbstract:Recommender systems evaluate and filter the great amount of information available on the Web, so they could be used to help users in their access processes to relevant information. In the literature we can find a lot of approaches for generating personalized recommendations. Hybrid recommender systems combine in different ways several approaches, so these recommendation strategies represent a promising solution for multiple applications. In this paper we propose a hybrid fuzzy linguistic recommender system to help the Technology Transfer Office staff in the dissemination of research resources interesting for the users. The system recommends users both specialized and complementary research resources and additionally, it discovers potential collaboration possibilities in order to form multidisciplinary working groups.
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a hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office
Information Sciences, 2012Co-Authors: Carlos Porcel, Alvaro Tejedalorente, M A Martinez, Enrique HerreraviedmaAbstract:Recommender systems could be used to help users in their access processes to relevant information. Hybrid recommender systems represent a promising solution for multiple applications. In this paper we propose a hybrid fuzzy linguistic recommender system to help the Technology Transfer Office staff in the dissemination of research resources interesting for the users. The system recommends users both specialized and complementary research resources and additionally, it discovers potential collaboration possibilities in order to form multidisciplinary working groups. Thus, this system becomes an application that can be used to help the Technology Transfer Office staff to selectively disseminate the research knowledge and to increase its information discovering properties and personalization capacities in an academic environment.
Lewis N Gosli - One of the best experts on this subject based on the ideXlab platform.
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university Technology Transfer programs a profit loss analysis
Technological Forecasting and Social Change, 1998Co-Authors: Dennis R Trune, Lewis N GosliAbstract:Abstract An analysis was made of the financial profitability/loss of Technology Transfer programs in U.S. universities, hospitals, and research centers for 1995. Data were extracted from the AUTM (Association of University Technology Managers) survey and other published information. Royalty payments were compared to estimates of Technology Transfer Office costs, patent fees, legal expenses, and new research grants. Approximately half of the programs in these institutions appeared to operate at a profit, albeit some had profits of several million dollars. Many smaller university Technology Transfer programs have been in existence only 5–10 years and presumably have not Transferred sufficient Technology for a profitable royalty stream. When estimates were made of institution funds that are spent locally, the community benefit of Technology Transfer programs was $434 million.
