A bibliometric review of the technology transfer literature
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This study explores academic research on technology transfer (TT) and the related themes. The TT field has attracted considerable scholarly attention in recent years and has grown rapidly, resulting in a large body of knowledge. Using a bibliometric approach, this study reviews related research issues as well as their influence and connections and provides directions for future research. It uses Clarivate Analytics’ Web of Science database that includes 3218 bibliographic references. Several bibliometric analysis techniques and a subsequent review of the content of the most relevant documents are adopted. The performance analysis provided an updated overview of the evolution of the TT literature from 1969 to 2018 and quantitatively identified the most active and influential journals, articles, authors, and organizations. The co-authorship network analysis allowed us to identify and visualize the structure of relations between authors as well as determine the collaboration patterns among them. On the basis of the information supplied by the co-authorship network, the main literature was reviewed to identify the current status and research trends related to TT, identifying five main research streams and related topics. The implications of the study’s findings and directions for future TT research are finally discussed to enhance our understanding of TT agents and issues and support further research in this field.
KeywordsTechnology transfer Bibliometrics Performance analysis Co-authorship analysis
JEL ClassificationM15 O3
The authors gratefully acknowledge comments and suggestions from Dr. Donald Siegel and anonymous referees on earlier versions of this paper. Any errors and misjudgements remain the responsibility of the authors.
Funding for this research was provided by the Spanish Ministry of Science, Innovation & Universities (MCIU/AEI/FEDER-UE) under the Grant Number RTI2018-097579-B-100, by UPV/EHU under the Grant Number GIU16/46, and by FESIDE.
Compliance with ethical standards
Conflict of interest
The authors declare that they have not conflict of interest.
- Agarwal, R., Echambadi, R., Franco, A. M., & Sarkar, M. B. (2004). Knowledge transfer through inheritance: Spin-out generation, development, and survival. Academy of Management Journal,47(4), 501–522.Google Scholar
- Autio, E., & Laamanen, T. (1995). Measurement and evaluation of technology transfer: Review of technology transfer mechanisms and indicators. International Journal of Technology Management,10(7–8), 643–664.Google Scholar
- Birley, S. (2002). Universities, academics, and spinout companies: Lessons from imperial. International Journal of Entrepreneurship Education,1(1), 1–21.Google Scholar
- Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science ma ing analysis software tool. Journal of the Association for Information Science and Technology,63(8), 1609–1630.Google Scholar
- De Bellis, N. (2009). Bibliometrics and Citation Analysis From the Science Citation Index to Cybermetrics. Lanham: Scarecrow Press Inc.Google Scholar
- Freeman, C. (1989). Technology policy and economic performance Pinter. London: Publishers Great Britain.Google Scholar
- Hsieh, C., Lu, L. Y., Liu, J. S., & Kondrashov, A. (2014). A literature review with citation analysis of technology transfer. In Management of engineering and technology (PICMET). 2014 Portl& international conference on IEEE.Google Scholar
- Moran, T. H. (2001). Parental supervision: The new paradigm for foreign direct investment and development. Washington DC: Peterson Institute for International Economics.Google Scholar
- Mowery, D. C., & Oxley, J. E. (1995). Inward technology-transfer and competitiveness—The role of national innovation systems. Cambridge Journal of Economics,19(1), 67–93.Google Scholar
- Naseer, M. M., & Mahmood, K. (2009). Use of bibliometrics in LIS research. LIBRES: Library and Information Science Research Electronic Journal,19(2), 1–21.Google Scholar
- Persson, O., Danell, R., & Schneider, J. W. (2009). How to use Bibexcel for various types of bibliometric analysis. In F. Åström, R. Danell, B. Larsen, & J. Schneider (Eds.), Celebrating scholarly communication studies: A Festschrift for Olle Persson at his 60th Birthday (Vol. 5, pp. 9–24). International Society for Scientometrics and Informetrics.Google Scholar
- Siegel, D. S., Waldman, D. A., Atwater, L. E., & Link, A. N. (2004). Toward a model of the effective transfer of scientific knowledge from academicians to practitioners: Qualitative evidence from the commercialization of university technologies. Journal of Engineering and Technology Management,21(1–2), 115–142.CrossRefGoogle Scholar
- Small, H. (1999). Visualizing science by citation mapping. Journal of the Association for Information Science and Technology,50(9), 799813.Google Scholar
- Tsai, W. (2001). Knowledge transfer in intraorganizational networks: Effects of network position and absorptive capacity on business unit innovation and performance. Academy of Management Journal,44(5), 996–1004.Google Scholar
- Wahab, S. A., Rose, R. C., Jegak, U., & Abdullah, H. (2009). A review on the technology transfer models, knowledge-based and organizational learning models on technology transfer. European Journal of Social Sciences,10(1), 551–564.Google Scholar
- Wahab, S. A., Rose, R. C., & Osman, S. I. W. (2012a). Defining the concepts of technology and technology transfer: A literature analysis. International Business Research,5(1), 61–71.Google Scholar
- Wahab, S. A., Rose, R. C., & Osman, S. I. W. (2012b). The Theoretical perspectives underlying technology transfer: A literature review. International Journal of Business and Management,7(2), 277–288.Google Scholar