A scientific methodology for MIS case studies
MIS Quarterly
A set of principles for conducting and evaluating interpretive field studies in information systems
MIS Quarterly - Special issue on intensive research in information systems
Power, politics, and MIS implementation
Communications of the ACM
Interpreting Information Systems in Organizations
Interpreting Information Systems in Organizations
Combining IS Research Methods: Towards a Pluralist Methodology
Information Systems Research
Generalizing Generalizability in Information Systems Research
Information Systems Research
Deploying Common Systems Globally: The Dynamics of Control
Information Systems Research
Realising Systems Thinking: Knowledge and Action in Management Science (Contemporary Systems Thinking)
Capturing reflexivity modes in IS: A critical realist approach
Information and Organization
Technological Embeddedness and Organizational Change
Organization Science
Technology, Organization, and Structure---A Morphogenetic Approach
Organization Science
Generative mechanisms for innovation in information infrastructures
Information and Organization
Design science in information systems research
MIS Quarterly
The nature of theory in information systems
MIS Quarterly
Information Resources Management Journal
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Critical realism in information systems research
MIS Quarterly
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Critical realism is emerging as a viable philosophical paradigm for conducting social science research, and has been proposed as an alternative to the more prevalent paradigms of positivism and interpretivism. Few papers, however, have offered clear guidance for applying this philosophy to actual research methodologies. Under critical realism, a causal explanation for a given phenomenon is inferred by explicitly identifying the means by which structural entities and contextual conditions interact to generate a given set of events. Consistent with this view of causality, we propose a set of methodological principles for conducting and evaluating critical realism-based explanatory case study research within the information systems field. The principles are derived directly from the ontological and epistemological assumptions of critical realism. We demonstrate the utility of each of the principles through examples drawn from existing critical realist case studies. The article concludes by discussing the implications of critical realism based research for IS research and practice.