Samuel-Ojo et al. (2010) Meta-Analysis of Design Science Research Within The IS Community

Meta-Analysis of Design Science Research Within The IS Community: Trends, Patterns, and Outcomes
Samuel-Ojo, Olusola and Shimabukuro, Doris and Chatterjee, Samir and Muthui, Musangi and Babineau, Tom and Prasertsilp, Pimpaka and Ewais, Shaimaa and Young, Mark

Abstract

The knowledge of design problem and solution is obtained in the building and application of an artifact, which is the end-goals of the design science research. Our objective in this paper is to conduct meta-analysis of the research being published by DESRIST to date to better understand the paradigm of design science research, and to sense the direction that research undertakings are headed. We present a meta-analysis model and detailed analysis of applications, IT artifact types, multi-disciplinary teams, and impact results. Our find- ings show that the majority of the papers are negatively skewed, systematically clustering more IT artifacts for IS development problem domain. The most cited papers clustered around those that featured better design theories. We concur that researchers need to equally focus on areas with less research includ- ing organization and market domains, as well as causal theories of design through a rigorous formative or summative evaluation of artifacts.

Citation Olusola Samuel-Ojo et al. (2010). Meta-Analysis of Design Science Research Within The IS Community: Trends, Patterns, and Outcomes. Design Research in Information Systems and Technology, pp. 124–138. Article

BibTex entry for this article:

BibTex entry for this article:

@article{samuel-ojo2010meta-analysis,
author = {Samuel-Ojo, Olusola and Shimabukuro, Doris and Chatterjee, Samir and Muthui, Musangi and Babineau, Tom and Prasertsilp, Pimpaka and Ewais, Shaimaa and Young, Mark},
journal = {Design Research in Information Systems and Technology},
pages = {124--138},
title = {{Meta-Analysis of Design Science Research Within The IS Community: Trends, Patterns, and Outcomes}},
year = {2010}
}

Key ideas

Keywords:

Design Science, artifact, design science research, evaluation method, impact, it, meta-analysis, multi-disciplinary, problem domain

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