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Studying Configurations with QCA: Best Practices in Strategy and Organization Research

Greckhamer, T., Furnari, S. ORCID: 0000-0003-3212-6604, Fiss, P. & Aguilera, R. V. (2018). Studying Configurations with QCA: Best Practices in Strategy and Organization Research. Strategic Organization, 16(4), pp. 482-495. doi: 10.1177/1476127018786487

Abstract

Qualitative Comparative Analysis (QCA) is increasingly applied in strategy and organization research. The main purpose of our essay is to support this growing community of QCA scholars by identifying best practices that can help guide researchers through the key stages of a QCA empirical study (model building, sampling, calibration, data analysis, reporting and interpretation of findings) and by providing examples of such practices drawn from strategy and organization studies. Coupled with this main purpose, we respond to Miller’s (2017) essay on configuration research by highlighting our points of agreement regarding his recommendations for configurational research and by addressing some of his concerns regarding QCA. Our article thus contributes to configurational research by articulating how to leverage QCA for enriching configurational theories of strategy and organization.

Publication Type: Article
Additional Information: Greckhamer, T., Furnari, S., Fiss, P. & Aguilera, R. V. Studying Configurations with QCA: Best Practices in Strategy and Organization Research. Strategic Organization. Copyright © 2018. Reprinted by permission of SAGE Publications.
Publisher Keywords: best practices, calibration, cluster analysis, configurational theory, fuzzy sets, qualitative comparative analysis, set-theoretic methods
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Departments: Bayes Business School > Management
SWORD Depositor:
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