Local search and the evolution of technological capabilities |
| |
Authors: | Toby E. Stuart Joel M. Podolny |
| |
Affiliation: | 1. Graduate School of Business, The University of Chicago, Chicago, Illinois, U.S.A.;2. Graduate School of Business, Stanford University, Stanford, California, U.S.A. |
| |
Abstract: | The assumption that ‘local search’ constrains the direction of corporate R&D is central in evolutionary perspectives on technological change and competition. In this paper, we propose a network-analytic approach for identifying the evolution of firms' technological positions. The approach (1) permits graphical and quantitative assessments of the extent to which firms' search behavior is locally bounded, and (2) enables firms to be positioned and grouped according to the similarities in their innovative capabilities. The utility of the proposed framework is demonstrated by an analysis of strategic partnering and the evolution of the technological positions of the 10 largest Japanese semiconductor producers from 1982 to 1992. |
| |
Keywords: | local search evolutionary theory technological change innovation |
|
|