Design science research for decision support systems development: recent publication trends in the premier IS journals

Shah J Miah; G Michael McGrath; Don Kerr

doi:10.3127/ajis.v20i0.1482

Back

Design science research for decision support systems development: recent publication trends in the premier IS journals

Journal article

Open access

Peer reviewed

Design science research for decision support systems development: recent publication trends in the premier IS journals

Shah J Miah, G Michael McGrath and Don Kerr

Australasian Journal of Information Systems, Vol.20, pp.1-14

2016

DOI: https://doi.org/10.3127/ajis.v20i0.1482

Files and links (2)

pdf

PDF - Published Version (Open Access)140.82 kBDownload View

Published VersionPDF - Published Version (Open Access)CC BY-NC V3.0, Open Access

url

https://doi.org/10.3127/ajis.v20i0.1482View

Published Version

Abstract

Information Systems

Business and Management

design science research

DSS

construction centric design science

human centric design science

IS research

This paper presents a contemporary literature review of design science research (DSR) studies in the domain of decision support systems (DSS) development. The latest studies in the DSS design domain claim that DSR methodologies are the most popular design approach, but many details are still yet to be revealed for supporting this claim. In particular, it is important to thoroughly investigate the trends in either the form or deeper insights in use of DSR in this field. The aim of this study is to analyse the existing DSS design science studies to reveal insights into the use of DSR, so that we can outline research agenda for a special issue, based on findings of analysis. We selected articles (from 2005 to 2014) that were published in seven selected premier IS journals (ranked as A* in the ABDC journal ranking). The selected 57 sample articles are representative of DSS design studies that used DSR in theorising, designing, implementing, and evaluating DSS solutions. We discuss the theoretical positions of DSR for DSS development through six categories: DSS artefacts, DSR methods, DSR views, user involvement, DSS design innovations and problem domains. The findings indicate that new studies are needed to fill the knowledge gap in DSS design science, for more solid theoretical basis in near future.

Details

Title: Design science research for decision support systems development: recent publication trends in the premier IS journals
Authors: Shah J Miah (Author) - Victoria University
G Michael McGrath (Author) - Victoria University
Don Kerr (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
Publication details: Australasian Journal of Information Systems, Vol.20, pp.1-14
Publisher: University of Canberra
Date published: 2016
DOI: 10.3127/ajis.v20i0.1482
ISSN: 1449-8618
Copyright note: Copyright © 2016 Miah, McGrath & Kerr. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 Australia License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and AJIS are credited.
Organisation Unit: University of the Sunshine Coast, Queensland; USC Business School - Legacy
Language: English
Record Identifier: 99451140302621
Output Type: Journal article

Metrics

138 File views/ downloads

646 Record Views