N-loop learning: part II – an empirical investigation

Purpose Through a survey of firm’s experiences with strategic alliances and a structural equation modeling approach, the aim of this study is to stimulate further interest in modeling and empirical research in the area of N-loop learning. Although the concepts of single-loop and double-loop learning, in particular, are well established in the literature, limited research has been directed toward their empirical validation and finer understanding. Design/methodology/approach Based on a large sample of technology firms, a MIMIC model is proposed and tested with respect to the development of collaborative know-how via the adoption and conduct of different structural choices on how to deploy strategic alliances (single-loop vs double-loop approach). Results are cross-validated. Findings Based on the results of two structural equation models, the findings support the fit of the proposed conceptual model and the notion that, overall, the greater the extent of double-loop over single-loop learning, the higher the level of collaborative know-how derived. Originality/value The call for the empirical investigation of N-loop learning is met by providing an example of survey-based research. The possible benefits of “double-loop” over “single-loop” learning are modeled and tested empirically.