Chapter 8: On the use of configurational analysis in entrepreneurial research
Restricted access

The relevance of understanding entrepreneurial intention has been – and still is – a highly relevant research problem. Traditional approaches in this domain utilize theories rooted in the Theory of Reasoned Action and rely on tools offered by regression analysis-based approaches. In contrast to this widely used combination, in this article we reason why new theoretically justified constructs and a more causal explanation-oriented data analysis approach can complement and improve existing literature. In addition to the domain-specific contribution, we also show how Fuzzy-set Qualitative Comparative Analysis (FsQCA) can be used as a basis of performing classification tasks to identify individuals with entrepreneurial intention potential. The introduced approach also addresses one of the most important methodological shortcomings of FsQCA, namely parameter selection in deriving important sufficient rules. Our contributions are exemplified using a dataset collected from eight countries.

You are not authenticated to view the full text of this chapter or article.

Access options

Get access to the full article by using one of the access options below.

Other access options

Redeem Token

Institutional Login

Log in with Open Athens, Shibboleth, or your institutional credentials

Login via Institutional Access

Personal login

Log in with your Elgar Online account

Login with you Elgar account
Monograph Book