Neighboring Knowledge Recombination : Knowledge Relationship Intensity, Neighboring Knowledge Concentration, and Knowledge Impact

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

4 Scopus Citations
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Original languageEnglish
Journal / PublicationIEEE Transactions on Engineering Management
Online published20 Oct 2022
Publication statusOnline published - 20 Oct 2022

Abstract

Recent research on recombinant search has paid close attention to the search for and recombination of useful knowledge pieces. However, the question of where to search and how to allocate inventive efforts remains underdeveloped. This article identifies knowledge relationship intensity and neighboring knowledge concentration as critical factors and highlights the contingent role of technological uncertainty. Drawing on a novel network construction method, we built knowledge networks of U.S. utility patents granted from 1995 to 2009. Then we developed an elaborated measure of knowledge relationship intensity and neighboring knowledge concentration. Our findings suggest that knowledge relationship intensity and neighboring knowledge concentration have a curvilinear (inverted U-shaped) relationship with knowledge impact. Furthermore, technological uncertainty accentuates both the effects of knowledge relationship intensity and neighboring knowledge concentration on knowledge impact in such a way that makes curvilinear relationships move upward. This article provides important theoretical and practical implications.

Research Area(s)

  • Economics, Fertilizers, Knowledge engineering, Knowledge impact, knowledge relationship intensity, Machinery, neighboring knowledge concentration, patent, Patents, Technological innovation, technological uncertainty, Uncertainty