Necessary Condition Analysis (NCA) is a new approach and data analysis technique for identifying necessary (but not sufficient) conditions in data sets. It can complement traditional regression based data analysis as well as methods like QCA. NCA provides very relevant insights for practice. Recent methodological and substantive publications show that NCA can combine rigor and relevance.
From June 19- June 23 the annual conference of the European Academy of Management will take place, featuring several NCA events including a workshop at the Doctoral Colloquium, a symposium and an informal gathering... (Read more)
Wilfred Knol (photo) and colleagues from Radboud University, Nijmegen, the Netherlands and Han University of Applied Sciences, Arnhem, the Netherlands have published a paper on "Implementing lean practices in manufacturing SMEs: testing ‘critical success factors’ using Necessary Condition Analysis". The paper is in press in the International Journal of Production Research (free access).
2017 was a very successful year for NCA. The NCA community has grown to more than 400 researchers. Scholars have used NCA in their research, are currently using it, or are otherwise interested in the method. Publications with NCA have appeared in a variety of journals in different fields of social sciences, including psychology, business and management. NCA applications have entered the technical and medical sciences as well. Many NCA events took place, and more tools to apply NCA have become available.
ERIM
is the joint research institute of Rotterdam School of Management, Erasmus University and the Erasmus School of Economics, Erasmus University Rotterdam.
