Exploring qualitative comparative analysis in IS Research

Chong, J
Techatassanasoontorn, A
Doolin, B
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Conference Contribution
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Association for Information Systems (AIS)

Qualitative Comparative Analysis (QCA) has been proposed as a promising qualitative data analysis strategy to study complex problems. QCA provides multiple conjunctural causation that can address generalizability concerns associated with case study research within the IS and other social science disciplines. However, there are not many studies that offer guidelines on how to effectively apply this methodology to IS research. This paper outlines a set of methodological principles for using QCA. An illustrative example of case studies of collaborative networks is discussed to demonstrate the application of QCA.

Case study , Generalizability , Qualitative comparative analysis
OCIS-PACIS Workshop held at Jeju island, South Korea, Jeju island, South Korea, 2013-06-19to 2013-06-19, published in: OCIS workshop
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Copyright © 2013 Association for Information Systems (AIS) http://aisel.aisnet.org. All rights reserved. NOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version).