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

Taman H. Powell, Yiannis Kouropalatis, Robert E. Morgan and Päivi Karhu

International Journal of Entrepreneurship and Innovation Management, 2016, vol. 20, issue 3/4, 174-199

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.

Keywords: knowledge literature; innovation literature; literature review; bibliometrics; research themes; research impact; residual impact; business management journals; data mining. (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijeima:v:20:y:2016:i:3/4:p:174-199

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