BUILDING BETTER CAUSAL THEORIES: A FUZZY SET APPROACH TO TYPOLOGIES IN ORGANIZATION RESEARCH

• 成果类型: Article
• 署名作者: Fiss, Peer C.
• 署名单位: University of Southern California
• 刊物名称: ACADEMY OF MANAGEMENT JOURNAL
• ISSN/ISSBN: 0001-4273
• DOI: 10.5465/AMJ.2011.60263120
• 发表日期: 2011
• 页码: 393-420
• 关键词: QUALITATIVE COMPARATIVE-ANALYSIS; STRATEGIC MANAGEMENT RESEARCH; TOP EXECUTIVE COMMITMENT; firm performance; HIGH-VELOCITY; configurations; KNOWLEDGE; models; miles; EQUIFINALITY

摘要

Typologies are an important way of organizing the complex cause-effect relationships that are key building blocks of the strategy and organization literatures. Here, I develop a novel theoretical perspective on causal core and periphery, which is based on how elements of a configuration are connected to outcomes. Using data on high-technology firms, I empirically investigate configurations based on the Miles and Snow typology using fuzzy set qualitative comparative analysis (fsQCA). My findings show how the theoretical perspective developed here allows for a detailed analysis of causal core, periphery, and asymmetry, shifting the focus to midrange theories of causal processes.