DescriptionNecessary Condition Analysis (NCA) is a novel research methodology that has attracted much attention in the academic community in recent years. NCA follows a necessity logic and can identify necessary conditions in data sets. A necessary condition is a critical factor for an outcome: if the necessary cause is not in place the outcome will not materialize. Hence, the necessary condition can be a bottleneck, critical factor, constraint, disqualifier, etc. In international business, we, for instance, demonstrated that political stability is a necessary condition for inward foreign direct investments into a country. In practice, the right level of a 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. NCA has the potential “to change how researchers approach testing for cause-and-effect relationships” (according to an editor of a top journal).
The workshop will focus on the following main topics:
Introduction to necessity logic and NCA
Foundations of the NCA method, its application and relevance, in particular relating to international business research
The complementary use of NCA, when compared to regression-based methods.
Illustration of the method and its practical application, using an IB dataset and RStudio to enable participants to perform their own NCA
|Period||12 Apr 2023|
|Location||Glasgow, United Kingdom|
|Degree of Recognition||International|