Evolutionary Perspectives on Strategy Local Search and the Evolution of Technological Capabilities

Abstract

We advocate studying strategic management from an evolutionary perspective: using dynamic, path-dependent models that allow for possibly random variation and selection within and among organizations. We argue that this perspective directs our attention to some of the most interesting problems in strategic management. The papers in this special issue are summarized, along with some of their implications for the advancement of an evolutionary perspective on strategy. Collectively, the papers draw on various theoretical rationales, illustrating how an evolutionary perspective can help to integrate the diverse and otherwise separate theoretical traditions that meet within the field of strategic management. 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.