Technology transfer: Toward mapping the field, a review, and research directions

Geisler, Eliezer

doi:10.1007/bf02174807

Cited by 19 publications

(9 citation statements)

References 44 publications

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“…As such, the firm that develops an innovation may not be the same organization creating the new knowledge, neither need it be an incumbent firm (Dougherty and Hardy, 1996;Lane and Lubatkin, 1998). If the exploitation of those opportunities by the entrepreneur does not involve full payment to the original firm for producing those opportunities, such as through a licence or royalty, then the entrepreneurial act of starting a new firm serves as the mechanism for knowledge spillovers (Dixon, 2000;Geisler, 1993;Hansen, 1999). Entrepreneurial opportunities are generated not just by investments in new knowledge and ideas, but also through the propensity for only a distinct subset of those knowledge opportunities to be fully pursued and commercialized by incumbent firms (Autio and Laamanen, 1995;Baum and Ingram, 1998;Foss and Klein, 2012;Caiazza and Ferrara, 2016).…”

Section: Knowledge In the Growth Processmentioning

confidence: 99%

What we do know and what we need to know about knowledge in the growth process

Caiazza

Foss

Volpe

2016

Journal of Organizational Effectiveness: People and Performance

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Purpose – There is evidence for major positive effects of knowledge transfer and innovation diffusion on economic growth. Much research has addressed schooling, training, and other aspects of human capital accumulation, but less emphasis has been placed on the interaction between firms and other organizations as a key driver of the development of new knowledge and its economic use. There is an extensive body of literature that discusses various aspects of knowledge transfer and innovation diffusion between firms, and this literature may serve as a microfoundation for understanding the role of knowledge in the growth process. However, we need to understand the role of the entrepreneur as a missing link between knowledge and innovation. The purpose of this paper is to outline some foundations of endogenous (externally driven) growth models, and uses the knowledge spillover theory of entrepreneurship to propose a new model of latent and emergent entrepreneurship. Design/methodology/approach – The paper uses the method of conceptual analysis to structure the literature and its assumptions. The authors review in broad terms what we know in the space of knowledge and growth, and what we still need to know. The authors curate informed views on the topic of knowledge and the way that entrepreneurs contribute to innovation diffusion. Findings – The paper develops a new perspective on knowledge. Starting from the role of knowledge as a core element in the microfoundations of endogenous growth models, it uses the knowledge spillover theory of entrepreneurship to propose a new model of latent and emergent entrepreneurship. Practical implications – The paper uses knowledge spillover theory to lay out a more complete and more realistic process through which knowledge gets converted into realized innovations, and as such, it makes the intervention points through which people management can facilitate organizational effectiveness through innovation more transparent. Originality/value – The paper provides guidance for future researchers on knowledge and innovation diffusion. It encourages innovation in our thinking about the role of knowledge, and allows scholars to combine perspectives more flexibly both across levels of analysis (macro and micro), and across disciplines (economy and management).

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Section: Knowledge In the Growth Processmentioning

confidence: 99%

What we do know and what we need to know about knowledge in the growth process

Caiazza

Foss

Volpe

2016

Journal of Organizational Effectiveness: People and Performance

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“…The lack of a generally accepted theory of technology transfer, noted by Geisler (1993), also promotes the use of case studies. The case study approach, since it often builds theory as well as testing existing theory, is better able to adapt to and probe areas of original but also emergent theory (Hartley, 1994).…”

Section: Jic 154mentioning

confidence: 99%

Managing the intellectual capital within government-university-industry R&D partnerships

Carayannis

Giudice

Peruta

2014

Journal of Intellectual Capital

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Purpose – As the complexity and scope of technical and social challenges increase, solutions to those challenges must be addressed by collaborative research and intellectual capital sharing efforts involving multiple organizations. One prominent type of research collaborative is the government-university-industry R&D partnership, an organizational form found in many countries. These collaboratives pose special management challenges, as they must combine the efforts of researchers coming from very different institutional and organizational cultures in order to capitalize their own intellectual capital. Many such partnerships have failed due to the inability to bridge these cultural gaps. The purpose of this paper is to propose a framework for establishing and managing these partnerships, using principles and constructs drawn from institutional theory, organizational learning, alliance theory, and innovation management. Design/methodology/approach – The examples of the NASA Laboratories, which are incubating several companies, are analyzed to show how this framework can highlight key attributes of successful research collaboratives. Findings – The recurring pattern from these diverse case studies shows that the presence of internal and external champions, appropriate technology, and patient risk capital make a difference in winning in a competitive environment. However, part of the same pattern perhaps is the lack of any identifiable recipes for success - critical factors appear to be situation specific. Originality/value – In light of the findings from the seven case studies the authors presented, they recommend using a hybrid portfolio approach in assessing the success of technology transfer and commercialization efforts.

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“…To do so, they examined technology evaluations that had been published in the Requirements Engineering Journal . Geisler proposes terms and definitions for technology transfer derived from existing research. Furthermore, objectives and research directions are defined to build a theory on technology transfer.…”

Section: Background and Motivationmentioning

confidence: 99%

Approaches, success factors, and barriers for technology transfer in software engineering—Results of a systematic literature review

Brings

Daun

Brinckmann

et al. 2018

J Software Evolu Process

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Introduction: Technology transfer aims at supporting the transfer of results from software engineering research from academia to industrial application.Objective: This paper reports on the current state of technology transfer in software engineering.Method: We conducted a systematic literature review, in which we investigated 3070 papers. We identified in total 70 relevant papers, which were subject of a detailed analysis.Results: Many different approaches are proposed to foster technology transfer in software engineering. The majority of these approaches suggest direct collaboration between industry and academia or teaching new technologies in industrial training or university education. In addition, a considerable number of experience reports on technology transfer exist. Hence, a multitude of best practices, success stories, and lessons learned is reported. Among others, empirical evidence, maturity, and adaptability of the technology seem important preconditions for successful transfer, while social and organizational factors seem important barriers to successful technology transfer.Conclusion: Our findings can aid software engineering researchers in determining how best to support the transfer of their research results into practice. Furthermore, analysis of the literature also revealed that no reports exist on the combination of various technology transfer approaches, which could increase advantages of existing approaches while reducing their disadvantages. KEYWORDS software engineering, systematic literature review, technology transfer 1 | BACKGROUND AND MOTIVATION Software engineering research aims at solving real-world problems (cf Wieringa 1 ) and demands the evaluation of a proposed solution in an industrial setting (cf Basili 2 and Salman et al 3 ). However, there is often still a gap between academic solution proposals and industrial needs, and for many results from software engineering research, it takes a long time to have an impact on software engineering practices. 4 This is not only due to the fact that novel results from academic research are often unknown to practitioners but also that those research results are often not directly applicable to industry. 5To close this gap, software engineering research also deals with technology transfer itself (cf Pfleeger 6 ). Technology transfer aims at supporting the transfer of research results from academia to practice and is thus of interest to many scientific disciplines (cf, eg, Teece 7 ). While some challenges remain the same regardless of the technology to be transferred, others are particular to the software engineering field, as software engineering technologies typically evolve in a short time and thus the state of the art constantly changes (cf Boehm 8 and Finkelstein and Kramer 9 ).There exists a plethora of proposed solution approaches to foster technology transfer in software engineering as well as experience reports on successful technology transfer projects. Nevertheless, there is a need to support researchers in identifying proper technol...

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Technology transfer: Toward mapping the field, a review, and research directions

Cited by 19 publications

References 44 publications

What we do know and what we need to know about knowledge in the growth process

What we do know and what we need to know about knowledge in the growth process

Managing the intellectual capital within government-university-industry R&D partnerships

Approaches, success factors, and barriers for technology transfer in software engineering—Results of a systematic literature review

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