Necessary Condition Analysis

Aktivitet: Foredrag og mundtlige bidragKonferenceoplæg


Necessary Condition Analysis (NCA) is a novel research methodology that can identify necessary conditions in data sets. A necessary condition is a critical factor of an outcome: if the condition is not in place the outcome will not occur. Hence, the necessary condition can be a bottleneck, critical factor, constraint, disqualifier, etc. In practice, the right level of necessary condition must be put and kept in place to avoid guaranteed failure. By adding a different logic and data analysis approach, NCA adds both rigor and relevance to theory, data analysis, and publications.
This workshop will provide an introduction to NCA. We will focus on the foundations of the method, its application in research, and its advantages in comparison to other methods (e.g. regression-based methods). Furthermore, it offers an opportunity for discussions on the usage of the method in the field of international entrepreneurship.
Periode20. maj 2021
BegivenhedstitelThe Fourth Odense Workshop on International Entrepreneurship
PlaceringOdense, Danmark
Grad af anerkendelseInternational