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Heterogeneous Combinations of Knowledge Elements: How the Knowledge Base Structure Impacts Knowledge‑related Outcomes of a Firm*
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In this paper, the authors examined the effects of the knowledge base structure, how knowledge elements are linked or separated from each other in clusters, on a firm's knowledge-related outcomes.Abstract:
Knowledge 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.read more
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References
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Superman or the Fantastic Four? Knowledge Combination and Experience in Innovative Teams
Alva Taylor,Henrich R. Greve +1 more
TL;DR: This paper examined how knowledge and experience affect both the mean and variance values of innovations from individuals and teams in the comic book industry, finding that innovations with extreme success and failure are affected by similar factors as high performing innovations.
Book
The Sciences of the Artificial - 3rd Edition
TL;DR: This new edition of Herbert Simon's classic work on artificial intelligence adds a chapter that sorts out the current themes and tools—chaos, adaptive systems, genetic algorithms—for analyzing complexity and complex systems.
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Social Network Analysis: History, Theory and Methodology
TL;DR: In this paper, the authors provide a full overview of the field of social network analysis, including historical origins, common theoretical perspectives and frameworks; traditional and current analytical procedures and fundamental mathematical equations needed to get a foothold in the field.
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arules - A Computational Environment for Mining Association Rules and Frequent Item Sets
TL;DR: The R package arules presented in this paper provides a basic infrastructure for creating and manipulating input data sets and for analyzing the resulting itemsets and rules.
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