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Qualitative comparative analysis, crisp and fuzzy sets in knowledge and innovation

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  • Huarng, Kun-Huang
  • Roig-Tierno, Norat

Abstract

Studies indicate that the academic management and social science studies are of low relevancy and impact and even limited in usefulness. Some other studies point out that qualitative comparative analysis (QCA) and fuzzy set qualitative comparative analysis (fsQCA) are more advanced approaches for data analysis and theory construction. To promote the concepts and approaches of QCA and fsQCA, this special issue of Journal of Business Research collects articles regarding “Qualitative Comparative Analysis, Crisp and Fuzzy Sets in Knowledge and Innovation.” The authors of these studies presented them at the 2016 Global Innovation and Knowledge Academy Conference, in Valencia, Spain, from March 20 to March 23. After double blind reviews, only 59 articles appear in this special issue.

Suggested Citation

  • Huarng, Kun-Huang & Roig-Tierno, Norat, 2016. "Qualitative comparative analysis, crisp and fuzzy sets in knowledge and innovation," Journal of Business Research, Elsevier, vol. 69(11), pages 5181-5186.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:11:p:5181-5186
    DOI: 10.1016/j.jbusres.2016.04.109
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    References listed on IDEAS

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    3. Kuratko, Donald F. & Hornsby, Jeffrey S. & Covin, Jeffrey G., 2014. "Diagnosing a firm's internal environment for corporate entrepreneurship," Business Horizons, Elsevier, vol. 57(1), pages 37-47.
    4. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
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    6. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
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