Testing High Performance Configurations: A Five-Step Model Using Fuzzy Set {QCA}

Ruud T Frambach, Peer C Fiss, Paul T M Ingenbleek

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

As the literature on a subject matures, increasingly refined studies are conducted to understand the complex nature of the concept and its context. However, performance outcomes of complex systems of interdependencies may be difficult to capture using commonly employed methods, such as regression models. This study aims to break new ground by employing a configurational approach to analyze the constellations of different strategic orientations, strategy types, and market conditions that yield superior performance using fuzzy set Qualitative Comparative Analysis (QCA). We offer a five-step model to develop and test alternative configurations. We hypothesize performance effects of four configurations and find support for three. The study has implications for strategy analysis, market orientation research, and configurational theory and in general.
Original languageEnglish
Pages (from-to)--
JournalAcademy of Management Proceedings
Volume2013
Issue number1
DOIs
Publication statusPublished - 2013

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High performance
Qualitative comparative analysis
Testing
Fuzzy sets
Market conditions
Strategic orientation
Configurational approach
Interdependencies
Complex systems
Market orientation
Regression model

Keywords

  • Qualitative Comparative Analysis
  • configurational theory
  • fuzzy set
  • strategy

Cite this

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Testing High Performance Configurations: A Five-Step Model Using Fuzzy Set {QCA}. / Frambach, Ruud T; Fiss, Peer C; Ingenbleek, Paul T M.

In: Academy of Management Proceedings , Vol. 2013, No. 1, 2013, p. --.

Research output: Contribution to JournalArticleAcademicpeer-review

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KW - configurational theory

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