GENERAL ORGANIZATIONAL CLASSIFICATION: AN EMPIRICAL TEST USING THE UNITED STATES AND JAPANESE ELECTRONICS INDUSTRIES

• 成果类型: Article
• 署名作者: Ulrich, Dave; Mckelvey, Bill
• 署名单位: University of Michigan System; University of Michigan; University of California System; University of California Los Angeles
• 刊物名称: ORGANIZATION SCIENCE
• ISSN/ISSBN: 1047-7039
• DOI: 10.1287/orsc.1.1.99
• 发表日期: 1990
• 页码: 99-118
• 关键词: ORGANIZATION CLASSIFICATION; INTRA-INDUSTRY POPULATIONS; Natural selection

摘要

This study empirically tests the existence of populations. It reports a general organizational classification for both the United States and Japanese electronics industries. It tests for and identifies populations within a family of electronics industries and demonstrates the relevance of a general organizational classification for explaining how different natural selection processes affect different populations. Data include 669 US and 144 Japanese electronics firms The results suggest that classification should play a more central role in development of organizational science