A review of qualitative case methods trends and themes used in technology transfer research

Cunningham, James A.; Menter, Matthias; Young, Chris

doi:10.1007/s10961-016-9491-6

Cited by 99 publications

(64 citation statements)

References 169 publications

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“…This follows recommendations from Schultz and Hatch (2005) who identify that practical solutions are required to help build and extend theory. Furthermore, responds to calls by Cunningham et al (2017) who identify the need for more theory building approaches to advance fields.…”

Section: Discussionmentioning

confidence: 99%

University–industry collaboration: using meta-rules to overcome barriers to knowledge transfer

et al. 2018

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University-industry knowledge transfer is an important source wealth of creation for all partners; however, the practical management of this activity within universities is often hampered by procedural rigidity either through the absence of decision-making protocols to reconcile conflicting priorities or through the inconsistent implementation of existing policies. This is problematic, since it can impede operational effectiveness, prevent inter-organisational knowledge-creation and hamper organisational learning. This paper addresses this issue by adopting a cross-discipline approach and presenting meta-rules as a solution to aid organisational decision making. It is proposed that meta-rules can help resolve tensions arising from conflicting priorities between academics, knowledge transfer offices and industry and help facilitate strategic alignment of processes and policies within and between organisations. This research contributes to the growing debate on the strategic challenges of managing knowledge transfer and presents meta-rules as a practical solution to facilitate strategic alignment of internal and external stakeholder tensions. Meta-rules has previously only been applied in a computer intelligence context however, this research proves the efficacy of meta rules in a university-industry knowledge transfer context. This research also has practical implications for knowledge transfer office managers who can use meta-rules to help overcome resource limitations, conflicting priorities and goals of diverse internal and external stakeholders.

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Section: Discussionmentioning

confidence: 99%

University–industry collaboration: using meta-rules to overcome barriers to knowledge transfer

et al. 2018

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“…How do scientists leverage entrepreneurial ecosystems to pursue excellence in science and research as well as knowledge and technology transfer through the different lifecycle phases? A plurality of data collection methods and a broad set of estimation techniques might thereby help to derive further insights into this highly relevant field of research (see Cunningham et al, 2017).…”

Section: Conclusion and Future Research Avenuesmentioning

confidence: 99%

Entrepreneurial ecosystems: a dynamic lifecycle model

et al. 2020

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The concept of entrepreneurial ecosystems has been used as a framework to explain entrepreneurial activities within regions and industrial sectors. Despite the usefulness of this approach, the concept is undertheorized, especially with regard to the evolution of entrepreneurial ecosystems. The current literature is lacking a theoretical foundation that addresses the development and change of entrepreneurial ecosystems over time and does not consider the inherent dynamics of entrepreneurial ecosystems that lead to their birth, growth, maturity, decline, and re-emergence. Taking an industry lifecycle perspective, this paper addresses this research gap by elaborating a dynamic entrepreneurial ecosystem lifecycle model. We propose that an ecosystem transitions from an entrepreneurial ecosystem, with a focus on new firm creation, towards a business ecosystem, with a core focus on the internal commercialization of knowledge, i.e., intrapreneurial activities, and vice versa. Our dynamic model thus captures the oscillation that occurs among entrepreneurs and intrapreneurs through the different phases of an ecosystem's lifecycle. Our dynamic lifecycle model may thus serve as a starting point for future empirical studies focusing on ecosystems and provide the basis for a further understanding of the interrelatedness between and coexistence of new and incumbent firms.

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“…Moreover, this also opens up opportunities for comparative studies of regions in different continents and also allows for focus on different types of firms such as multinational firms, small and medium enterprises, non for profit firms and publicly owned semi state bodies. In addition, there is a need to expand at the meso level the industry sectors on which empirical studies are based as there is a narrow concentration of existing studies on certain industries (Cunningham et al 2017b). …”

Section: Meso Level Studiesmentioning

confidence: 99%

Macro, meso and micro perspectives of technology transfer

Cunningham

O’Reilly²

2018

J Technol Transf

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Over the last few decades research into the different aspects of technology transfer has grown significantly that has taken in the main a macro perspective. This research has created a body of knowledge and an evidence base that has contributed original insights in developing the field and also has shaped policymaking and practice. Within the field there is a growing focus on meso and micro aspects of technology transfer and a growing interest in for example role individual actors such as scientists, principal investigators policy makers, TTO actors, supporting institutions and functions such as universities, professional research organizations, technology and knowledge transfer offices. This research is unearthing fine-grained nuances and insights that provide further evidence of how technology transfer activities are shaped and evolve in different geographical and organizational contexts. The purpose of this special issue is to provide a further understanding of macro, meso and micro perspectives of technology transfer and to provide an agenda for further research that blends these multi-level perspectives of technology transfer.

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A review of qualitative case methods trends and themes used in technology transfer research

Cited by 99 publications

References 169 publications

University–industry collaboration: using meta-rules to overcome barriers to knowledge transfer

University–industry collaboration: using meta-rules to overcome barriers to knowledge transfer

Entrepreneurial ecosystems: a dynamic lifecycle model

Macro, meso and micro perspectives of technology transfer

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