Track
Systems Analysis and Design
Abstract
This article presents an experimental design and the pilot experiment results of applying grounded theory to conceptual datamodeling. The objective of this study is to develop a procedural method for concept discovery, which is essential in datamodeling. The research focuses on addressing the lack of procedural methods for understanding domain knowledge by datamodeler. The key idea of this article is that conceptual modeling can be strengthened by applying a constant comparativemethod of coding and analysis, which has been used to discover concepts in the social sciences. This article contributes newknowledge about the effects of applying interdisciplinary concept discovery in the context of conceptual data modeling. Theresults of the pilot experiment show that the proposed approach would have positive results.
Recommended Citation
Kim, Taekyung; Park, Jinsoo; and Rho, Sangkyu, "Applying Grounded Theory to Conceptual Data Modeling: Effects of Constant Comparative Method" (2011). AMCIS 2011 Proceedings - All Submissions. 47.
https://aisel.aisnet.org/amcis2011_submissions/47