Professor of George Washington University
YoungKi Park is an assistant professor of Information Systems at the George Washington University School of Business. He received his Ph.D. from the Marshall School of Business at the University of Southern California and his MS from KAIST business school in Korea. He has 10 years of IT consulting experience in business intelligence, analytics and enterprise systems before pursuing his doctoral studies. His research focuses on IT Strategy in digitized business environments and he specializes in the set-theoretic configurational approach and qualitative comparative analysis (QCA). His work has been published in MIS Quarterly, Information Systems Research, Journal of the Association for Information Systems, and Research in Sociology of Organizations.
Title: Set-Theoretic Methods: Qualitative Comparative Analysis (QCA) for IS Research
3:50PM – 4:40PM, July 4 (Thu), The View Hall
Information and digital technologies have become tightly interconnected with organizational and environmental elements. This ‘fusion’ has created a complex system that often exhibits nonlinear, discontinuous change such that a small adjustment in IT systems can trigger drastic, unexpected changes in other elements, and eventually the whole socio-technical system can change radically and possibly shift to new equilibriums. In such complex dynamics, the role of IT can be better understood as an element of the whole system rather than as a separate independent variable. Notwithstanding such an increasing need for a holistic systemic perspective, there is still a paucity of IS research that investigates how information and digital technologies effectively work together with organizational and environmental elements to produce the expected outcomes either at the individual, group, organization, or ecosystem level.
Recently, qualitative comparative analysis (QCA), a set-theoretic method to build a configurational theory, is drawing increasing attention of researchers to its capability to investigate the complex phenomena. QCA developed by Charles Ragin (1987) integrates the strengths of both case-oriented qualitative methods and variable-oriented quantitative methods, and can be applicable for small, medium, or large data. In the IS literature, a growing number of studies have employed QCA as their main research approach (e.g., El Sawy et al. 2010, Rivard & Lapointe 2012, Dawson et al. 2016, Park et al. 2017, Park & Mithas 2019, Lee et al. 2019). The tutorial will foster discussion about how QCA can help IS researchers build novel, richer theories.
The speaker has been using QCA extensively in his research for several years, and presented papers at premier conferences such as ICIS, AoM, AMCIS, and HICSS and publications appeared at journals such as MISQ, ISR, JAIS, JSIS, and RSO. He also has been exposed himself to new advancement in the set-theoretic methods by co-authoring papers with leading scholars for this method such as Peer Fiss (USC) at the strategic management discipline and also attending seminars specialized for QCA