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Export Reference (APA) 
Ferreira, F. A. F., Jalali, M. S. & Ferreira, J. J. M. (2016). Integrating qualitative comparative analysis (QCA) and fuzzy cognitive maps (FCM) to enhance the selection of independent variables. Journal of Business Research. 69 (4), 1471-1478
Export Reference (IEEE) 
F. A. Ferreira et al.,  "Integrating qualitative comparative analysis (QCA) and fuzzy cognitive maps (FCM) to enhance the selection of independent variables", in Journal of Business Research, vol. 69, no. 4, pp. 1471-1478, 2016
Export BibTeX 
@article{ferreira2016_1765613720727,
	author = "Ferreira, F. A. F. and Jalali, M. S. and Ferreira, J. J. M.",
	title = "Integrating qualitative comparative analysis (QCA) and fuzzy cognitive maps (FCM) to enhance the selection of independent variables",
	journal = "Journal of Business Research",
	year = "2016",
	volume = "69",
	number = "4",
	doi = "10.1016/j.jbusres.2015.10.127",
	pages = "1471-1478",
	url = "http://www.sciencedirect.com/science/article/pii/S0148296315005500"
}
Export RIS 
TY  - JOUR
TI  - Integrating qualitative comparative analysis (QCA) and fuzzy cognitive maps (FCM) to enhance the selection of independent variables
T2  - Journal of Business Research
VL  - 69
IS  - 4
AU  - Ferreira, F. A. F.
AU  - Jalali, M. S.
AU  - Ferreira, J. J. M.
PY  - 2016
SP  - 1471-1478
SN  - 0148-2963
DO  - 10.1016/j.jbusres.2015.10.127
UR  - http://www.sciencedirect.com/science/article/pii/S0148296315005500
AB  - This study proposes the use of fuzzy cognitive maps (FCMs) in qualitative comparative analysis (QCA) applications to enhance the selection of independent variables in the QCA framework. QCA techniques hold great potential to identify the causal models that exist among different but comparable cases. Due to the complexity of causality issues, however, such techniques may not be able to uncover the “true” causal foundation of a given phenomenon. FCMs typically offer a fuller view of the cause-and-effect relationships between variables, thus allowing for a better understanding of their behavior; for instance, the manner in which variables relate to each other, or the measure of their intensity. This study thus proposes that such maps can be a useful support in the selection of independent variables for a QCA model, and provides specific guidelines and an illustrative
example of how to integrate FCMs in QCA applications.
ER  -