The productivity paradox of information technology
Communications of the ACM
Qualitative research in information systems
MIS Quarterly
The substitution of information technology for other factors of production: a Firm Level Analysis
Management Science - Special issue: Frontier research on information systems and economics
Rigor and relevance in MIS research: beyond the approach of positivism alone
MIS Quarterly - Special issue on intensive research in information systems
Interpreting Information Systems in Organizations
Interpreting Information Systems in Organizations
The Philosophy of Critical Realism—An Opportunity for Information Systems Research
Information Systems Frontiers
Combining IS Research Methods: Towards a Pluralist Methodology
Information Systems Research
Generalizing Generalizability in Information Systems Research
Information Systems Research
Technological Embeddedness and Organizational Change
Organization Science
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Building on recent developments in mixed methods, we discuss the methodological implications of critical realism and explore how these can guide dynamic mixed-methods research design in information systems. Specifically, we examine the core ontological assumptions of CR in order to gain some perspective on key epistemological issues such as causation and validity, and illustrate how these shape our logic of inference in the research process through what is known as retroduction. We demonstrate the value of a CR-led mixed-methods research approach by drawing on a study that examines the impact of ICT adoption in the financial services sector. In doing so, we provide insight into the interplay between qualitative and quantitative methods and the particular value of applying mixed methods guided by CR methodological principles. Our positioning of demi-regularities within the process of retroduction contributes a distinctive development in this regard. We argue that such a research design enables us to better address issues of validity and the development of more robust meta-inferences.