Real-izing information systems: critical realism as an underpinning philosophy for information systems
By John C. Mingers. Information and organization, 2004
540 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/39d33105d954a2642e1f754bc48f5b958a9bd7e2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- V. Venkatesh
- Christoph Müller-Bloch
- Roman Beck
- Diane M. Strong
- Michael B. Elmes
- Susan A. Brown
- Donald E. Wynn Jr.
- Michael I. Barrett
In Sociology and Political Science
- Susan A. Brown
- V. Venkatesh
- Hillol Bala
- Christoph Müller-Bloch
- Roman Beck
- Diane M. Strong
- Donald E. Wynn Jr.
- Michael I. Barrett
Citations in the corpus
- Technological Embeddedness and Organizational Change (2007, background): “Recently there have been calls to apply critical realism (CR) to the study of IT-mediated organizational change (Dobson 2001; Mingers 2002, 2004; Mutch 2002), although to our knowledge, no empirical studies have yet done so. Critical realism has the potential to address the shortcomings identified”
- Principles for Conducting Critical Realist Case Study Research in Information Systems (2012, methodology): “CR attempts to use our knowledge of the experiences in a given situation to analyze inferentially what the world must be like in terms of the structures and mechanisms that must constitute this reality for some accepted outcome to have occurred (Mingers 2004b).”
- Methodological Implications of Critical Realism for Mixed-Methods Research (2013, methodology): “X/Forthcoming 2013 SWIFT to uncover the generative mechanisms that helped understand the effect of SWIFT adoption on bank performance.”
- Governance in the Blockchain Economy: A Framework and Research Agenda (2018, methodology): “Our study was inspired by Mingers’ (2004) recommendation of pragmatics.”
- Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems (2013, methodology): “Although we do not suggest superiority of any particular paradigm of mixed methods research, we note that critical realism has gained much attention in the IS literature recently (Mingers 2004a, 2004b, 2004c).”