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Qualitative Research in Information Systems
Abstract
Qualitative research involves the use of qualitative data, such as interviews, documents, and participant observation, to understand and explain social phenomena. As the focus of information systems research shifts from technological to managerial and organizational issues, qualitative research methods become increasingly useful. This example of “living scholarship” within MISQ Discovery’s worldwide web archive provides an overview of qualitative research for the newcomer and a set of resources for those more experienced. The work discusses philosophical perspectives that can inform qualitative research, qualitative research methods, techniques, and modes of analysis. Links to citation lists, Internet resources, software tools, and calls for papers are also included.
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Citations
Cited by
A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems1
Klein, H. K., & Myers, M. D. (1999) · MIS Quarterly · doi:10.2307/249410 · Cited by 5,263
Self-citationThe qualitative interview in IS research: Examining the craft
Myers, M. D., & Newman, M. (2007) · Information and Organization · doi:10.1016/j.infoandorg.2006.11.001 · Cited by 1,941
Self-citationDoes Sample Size Matter in Qualitative Research?: A Review of Qualitative Interviews in is Research
Marshall, B., Cardon, P., Poddar, A., & Fontenot, R. (2013) · Journal of Computer Information Systems · doi:10.1080/08874417.2013.11645667 · Cited by 1,636
Privacy in the Digital Age: a Review of Information Privacy Research in Information Systems1
Bélanger, F., & Crossler, R. E. (2011) · MIS Quarterly · doi:10.2307/41409971 · Cited by 1,339
Community, joining, and specialization in open source software innovation: a case study
von Krogh, G., Spaeth, S., & Lakhani, K. R. (2003) · Research Policy · doi:10.1016/s0048-7333(03)00050-7 · Cited by 1,025
Metadata
- Authors
- Myers, M. D.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 1997-06-01
- Volume
- 21
- Issue
- 2
- Pages
- 241-242
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1535148893
- Cited by
- 2,365
- References
- 0
- FWCI
- 77.82
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.