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Mapping knowledge and innovation research themes: using bibliometrics for classification, evolution, proliferation and determinism

Author

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  • Taman H. Powell
  • Yiannis Kouropalatis
  • Robert E. Morgan
  • Päivi Karhu

Abstract

We employ bibliometric techniques to map the intellectual foundations, patterns, interdependence, and chronological development of research themes within the knowledge and innovation literature. Specifically we: measure the temporal development of this literature; identify themes and sub-themes underlying the published output and examine the residual impact of each to extant research; and, we illustrate the extent of independence and interdependence among the identified themes. We analyse a census of articles (n > 4,500) published during 1992-2012 in business management journals and identify an eight-cluster structure representing 88% of the variation within the data. To further interrogate the data, we mine the first cluster, as the dominant theme, and reveal seven sub-themes that clearly indicate the focal nodes of research in the knowledge and innovation domain. We provide a series of findings that address our research objectives and offer several implications for future research, which are tempered with our empirical limitations.

Suggested Citation

  • Taman H. Powell & Yiannis Kouropalatis & Robert E. Morgan & Päivi Karhu, 2016. "Mapping knowledge and innovation research themes: using bibliometrics for classification, evolution, proliferation and determinism," International Journal of Entrepreneurship and Innovation Management, Inderscience Enterprises Ltd, vol. 20(3/4), pages 174-199.
    • Handle: RePEc:ids:ijeima:v:20:y:2016:i:3/4:p:174-199
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    Cited by:

    1. Yi Feng & Shaoze Cui, 2021. "A review of emergency response in disasters: present and future perspectives," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 1109-1138, January.
    2. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
    3. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2022. "Exploring the knowledge base of innovation research: Towards an emerging innovation model," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    4. Qiaoyun Yang & Dan Yang & Peng Li & Shilu Liang & Zhenghu Zhang, 2021. "A Bibliometric and Visual Analysis of Global Community Resilience Research," IJERPH, MDPI, vol. 18(20), pages 1-25, October.
    5. Aysan, Ahmet Faruk & Polat, Ali Yavuz & Tekin, Hasan & Tunalı, Ahmet Semih, 2022. "The Ascent of Geopolitics: Scientometric Analysis and Ramifications of Geopolitical Risk," MPRA Paper 112741, University Library of Munich, Germany.
    6. Huchang Liao & Ming Tang & Li Luo & Chunyang Li & Francisco Chiclana & Xiao-Jun Zeng, 2018. "A Bibliometric Analysis and Visualization of Medical Big Data Research," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    7. Chi-Swian Wong, 2021. "Science Mapping: A Scientometric Review on Resource Curses, Dutch Diseases, and Conflict Resources during 1993–2020," Energies, MDPI, vol. 14(15), pages 1-48, July.

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