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From dataset to qualitative comparative analysis (QCA)—Challenges and tricky points: A research note on contrarian case analysis and data calibration

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  • Russo, Ivan
  • Confente, Ilenia

Abstract

This research note provides technical aspects of qualitative comparative analysis (QCA) for scholars seeking to better understanding the potentiality of the method. The note answers a few frequently asked questions about contrarian case analysis and data calibration and show how to implement these two relevant steps technically and appropriately. This study provides useful details and technical explanations on why and how to turn case data by using contrarian case analysis and how to calibrate data into fuzzy sets.

Suggested Citation

  • Russo, Ivan & Confente, Ilenia, 2019. "From dataset to qualitative comparative analysis (QCA)—Challenges and tricky points: A research note on contrarian case analysis and data calibration," Australasian marketing journal, Elsevier, vol. 27(2), pages 129-135.
    • Handle: RePEc:eee:aumajo:v:27:y:2019:i:2:p:129-135
    DOI: 10.1016/j.ausmj.2018.11.001
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    References listed on IDEAS

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    1. Schneider, Carsten Q., 2018. "Realists and Idealists in QCA," Political Analysis, Cambridge University Press, vol. 26(2), pages 246-254, April.
    2. Russo, Ivan & Confente, Ilenia & Gligor, David M. & Autry, Chad W., 2016. "To be or not to be (loyal): Is there a recipe for customer loyalty in the B2B context?," Journal of Business Research, Elsevier, vol. 69(2), pages 888-896.
    3. Wu, Pei-Ling & Yeh, Shih-Shuo & Huan, Tzung-Cheng (.T.C.). & Woodside, Arch G., 2014. "Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations," Journal of Business Research, Elsevier, vol. 67(8), pages 1647-1670.
    4. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, December.
    5. Sascha Kraus & Domingo Ribeiro-Soriano & Miriam Schüssler, 2018. "Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research – the rise of a method," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 15-33, March.
    6. Wagemann, Claudius & Buche, Jonas & Siewert, Markus B., 2016. "QCA and business research: Work in progress or a consolidated agenda?," Journal of Business Research, Elsevier, vol. 69(7), pages 2531-2540.
    7. Berg-Schlosser, Dirk, 2018. "Calibrating and aggregating multi-dimensional concepts with fuzzy sets: “Human Development” and the quality of democracy," Australasian marketing journal, Elsevier, vol. 26(4), pages 350-357.
    8. 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.
    9. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
    10. De Villiers, R. & Tipgomut, P., 2018. "Reviewing the marketing theory adoption journey for studies using QCA as a methodological approach: Insights, gaps and agenda for future research," Australasian marketing journal, Elsevier, vol. 26(4), pages 317-337.
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    Cited by:

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    4. Souiden, Nizar & Amara, Nabil & Chaouali, Walid, 2020. "Optimal image mix cues and their impacts on consumers’ purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).

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