Heterogeneous Combinations of Knowledge Elements: How the Knowledge Base Structure Impacts Knowledge-related Outcomes of a Firm
AbstractKnowledge is the preeminent resource of a firm. Although many scholars have focused on the firm's knowledge base, few studies have examined the effects of the knowledge base structure—how knowledge elements are linked or separated from each other in clusters—on firm's knowledge-related outcomes. This study examines the knowledge base structure, and tests hypotheses about the effects of heterogeneous combinations of knowledge elements on the outcomes. Through an analysis of the patents related to LCD technology, (1) the usefulness of an organization's inventions correlates positively with the density of the knowledge links between technologically different knowledge components, (2) the average usefulness of a firm's inventions correlates positively with the density of the knowledge links between technologically disparate knowledge components, (3) the number of inventions correlates negatively with the density of the knowledge links between excessively disparate knowledge components.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Research Institute for Economics & Business Administration, Kobe University in its series Discussion Paper Series with number DP2013-15.
Length: 36 pages
Date of creation: Apr 2013
Date of revision:
Contact details of provider:
Postal: 2-1 Rokkodai, Nada, Kobe 657-8501 JAPAN
Phone: +81-(0)78 803 7036
Fax: +81-(0)78 803 7059
Web page: http://www.rieb.kobe-u.ac.jp/index-e.html
More information through EDIRC
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-04-20 (All new papers)
- NEP-CSE-2013-04-20 (Economics of Strategic Management)
- NEP-KNM-2013-04-20 (Knowledge Management & Knowledge Economy)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Griliches, Zvi, 1990.
"Patent Statistics as Economic Indicators: A Survey,"
Journal of Economic Literature,
American Economic Association, vol. 28(4), pages 1661-1707, December.
- Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
- Zvi Griliches, 1991. "Patent Statistics as Economic Indicators: A Survey," NBER Working Papers 3301, National Bureau of Economic Research, Inc.
- Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
- Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
- Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, June.
- repec:fth:harver:1473 is not listed on IDEAS
- Michael Hahsler & Bettina Grün & Kurt Hornik, . "arules - A Computational Environment for Mining Association Rules and Frequent Item Sets," Journal of Statistical Software, American Statistical Association, vol. 14(i15).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Office of Promoting Research Collaboration, Research Institute for Economics & Business Administration, Kobe University).
If references are entirely missing, you can add them using this form.