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).
Necessary Condition Analysis
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.
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.