Abstract
Critical realism has emerged as an alternative to positivist and interpretive research during the past decade. Yet, the number of empirical studies based on this perspective has so far been limited. This indicates a need for a more explicit method for critical realist data analysis. To address this, we extend former research on critical realist methodology by presenting a framework for identifying and understanding causal structures in critical realist studies, termed mechanisms. The framework consists of steps involved in identifying structural components of a mechanism, how these components interact to produce to an outcome, and contextual influences on this outcome. We illustrate the application of the framework through an example of the identification of IS innovation mechanisms in a case study in the airline industry. Overall, we argue that the mechanism approach can improve empirical studies in the IS field, by providing ontological depth, creative thinking and more precise explanations.
Recommended Citation
Bygstad, Bendik and Munkvold, Bjørn Erik, "In Search of Mechanisms. Conducting a Critical Realist Data Analysis" (2011). ICIS 2011 Proceedings. 7.
https://aisel.aisnet.org/icis2011/proceedings/researchmethods/7
In Search of Mechanisms. Conducting a Critical Realist Data Analysis
Critical realism has emerged as an alternative to positivist and interpretive research during the past decade. Yet, the number of empirical studies based on this perspective has so far been limited. This indicates a need for a more explicit method for critical realist data analysis. To address this, we extend former research on critical realist methodology by presenting a framework for identifying and understanding causal structures in critical realist studies, termed mechanisms. The framework consists of steps involved in identifying structural components of a mechanism, how these components interact to produce to an outcome, and contextual influences on this outcome. We illustrate the application of the framework through an example of the identification of IS innovation mechanisms in a case study in the airline industry. Overall, we argue that the mechanism approach can improve empirical studies in the IS field, by providing ontological depth, creative thinking and more precise explanations.