Addressing the ‘Qualitative’ in fuzzy set Qualitative Comparative Analysis: the generic membership evaluation template
Fuzzy set Qualitative Comparative Analysis (fsQCA) can help researchers to address causal complexity, especially in relation to the interactions between different conditions leading to the outcome in question. FsQCA helps investigate how alternative solutions (different configurations of conditions)...
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| Format: | Article |
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Elsevier
2017
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| Online Access: | https://eprints.nottingham.ac.uk/43562/ |
| _version_ | 1848796714752802816 |
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| author | Tóth, Zsófia Henneberg, Stephan C. Naudé, Peter |
| author_facet | Tóth, Zsófia Henneberg, Stephan C. Naudé, Peter |
| author_sort | Tóth, Zsófia |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Fuzzy set Qualitative Comparative Analysis (fsQCA) can help researchers to address causal complexity, especially in relation to the interactions between different conditions leading to the outcome in question. FsQCA helps investigate how alternative solutions (different configurations of conditions) make up the outcome, and considers the asymmetrical nature of social phenomena. An important challenge that researchers often face when they apply fsQCA to qualitative data is the lack of distinct and operationalizable anchor points for fuzzy set calibration. This study offers the Generic Membership Evaluation Template (GMET) to support the decision making about assigning fuzzy set values to conditions, and therefore improves the transparency of the qualitative calibration process. This paper aims to highlight why and how fsQCA can be carried out to obtain a more in-depth understanding of complex problems using qualitative data, to identify some core method issues involved in this analytical process, and to develop a conceptual and empirical framework that helps in managing some methodological issues, with special regard to the calibration process. For illustration of the method we scrutinize ways in which the customer firm can achieve attractiveness in the eyes of the supplier. Our study explores configurations leading to the Relational Attractiveness of the Customer (RAC) based on 28 in-depth interviews with senior managers on the supplier side. In the interest of methodological reflections and parsimony, it is assumed that the reader is familiar with the principles of fsQCA. |
| first_indexed | 2025-11-14T19:52:23Z |
| format | Article |
| id | nottingham-43562 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:52:23Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-435622020-05-04T18:48:37Z https://eprints.nottingham.ac.uk/43562/ Addressing the ‘Qualitative’ in fuzzy set Qualitative Comparative Analysis: the generic membership evaluation template Tóth, Zsófia Henneberg, Stephan C. Naudé, Peter Fuzzy set Qualitative Comparative Analysis (fsQCA) can help researchers to address causal complexity, especially in relation to the interactions between different conditions leading to the outcome in question. FsQCA helps investigate how alternative solutions (different configurations of conditions) make up the outcome, and considers the asymmetrical nature of social phenomena. An important challenge that researchers often face when they apply fsQCA to qualitative data is the lack of distinct and operationalizable anchor points for fuzzy set calibration. This study offers the Generic Membership Evaluation Template (GMET) to support the decision making about assigning fuzzy set values to conditions, and therefore improves the transparency of the qualitative calibration process. This paper aims to highlight why and how fsQCA can be carried out to obtain a more in-depth understanding of complex problems using qualitative data, to identify some core method issues involved in this analytical process, and to develop a conceptual and empirical framework that helps in managing some methodological issues, with special regard to the calibration process. For illustration of the method we scrutinize ways in which the customer firm can achieve attractiveness in the eyes of the supplier. Our study explores configurations leading to the Relational Attractiveness of the Customer (RAC) based on 28 in-depth interviews with senior managers on the supplier side. In the interest of methodological reflections and parsimony, it is assumed that the reader is familiar with the principles of fsQCA. Elsevier 2017-05-31 Article PeerReviewed Tóth, Zsófia, Henneberg, Stephan C. and Naudé, Peter (2017) Addressing the ‘Qualitative’ in fuzzy set Qualitative Comparative Analysis: the generic membership evaluation template. Industrial Marketing Management, 63 . pp. 192-204. ISSN 0019-8501 FsQCA; Qualitative data analysis; Calibration; Generic Membership Evaluation Template http://www.sciencedirect.com/science/article/pii/S0019850116301912 doi:10.1016/j.indmarman.2016.10.008 doi:10.1016/j.indmarman.2016.10.008 |
| spellingShingle | FsQCA; Qualitative data analysis; Calibration; Generic Membership Evaluation Template Tóth, Zsófia Henneberg, Stephan C. Naudé, Peter Addressing the ‘Qualitative’ in fuzzy set Qualitative Comparative Analysis: the generic membership evaluation template |
| title | Addressing the ‘Qualitative’ in fuzzy set Qualitative Comparative Analysis: the generic membership evaluation template |
| title_full | Addressing the ‘Qualitative’ in fuzzy set Qualitative Comparative Analysis: the generic membership evaluation template |
| title_fullStr | Addressing the ‘Qualitative’ in fuzzy set Qualitative Comparative Analysis: the generic membership evaluation template |
| title_full_unstemmed | Addressing the ‘Qualitative’ in fuzzy set Qualitative Comparative Analysis: the generic membership evaluation template |
| title_short | Addressing the ‘Qualitative’ in fuzzy set Qualitative Comparative Analysis: the generic membership evaluation template |
| title_sort | addressing the ‘qualitative’ in fuzzy set qualitative comparative analysis: the generic membership evaluation template |
| topic | FsQCA; Qualitative data analysis; Calibration; Generic Membership Evaluation Template |
| url | https://eprints.nottingham.ac.uk/43562/ https://eprints.nottingham.ac.uk/43562/ https://eprints.nottingham.ac.uk/43562/ |