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

Taman Powell, Yiannis Kouropalatis, Robert Morgan, Päivi Karhu

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)174-199
JournalInternational Journal of Entrepreneurship and Innovation Management
Issue number3/4
Publication statusPublished - 2015

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