An assessment of DSS design science using the Hevner, March, Park, and Ram guidelines.

Design science has been an important strategy in decision support systems (DSS) research since the inception of the field in the early 1970s. Recent reviews of DSS research have indicated a need to improve its quality and relevance. DSS design science has an important role in this improvement as des...

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Bibliographic Details
Main Authors: Arnott, David, Pervan, Graham
Other Authors: S. Gregor
Format: Conference Paper
Published: Australian National University ANU 2008
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/28627
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author Arnott, David
Pervan, Graham
author2 S. Gregor
author_facet S. Gregor
Arnott, David
Pervan, Graham
author_sort Arnott, David
building Curtin Institutional Repository
collection Online Access
description Design science has been an important strategy in decision support systems (DSS) research since the inception of the field in the early 1970s. Recent reviews of DSS research have indicated a need to improve its quality and relevance. DSS design science has an important role in this improvement as design science can engage industry and the profession in intellectually important projects. The 2004 publication of the Hevner, March, Park, and Ram (HMPR) Guidelines for the conduct and assessment of information systems design science provides a vehicle for assessing DSS design science. This paper presents research that used bibliometric content analysis to apply the HMPR Guidelines to a representative sample of DSS design-science papers in 14 journals. The analysis highlights issues that need attention, notably, evaluation, research design, and theorizing. Comments are also offered on the experience of applying the HMPR Guidelines to a large body of research.
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publishDate 2008
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spelling curtin-20.500.11937-286272022-11-21T06:47:08Z An assessment of DSS design science using the Hevner, March, Park, and Ram guidelines. Arnott, David Pervan, Graham S. Gregor S. Ho design science decision support systems Design science has been an important strategy in decision support systems (DSS) research since the inception of the field in the early 1970s. Recent reviews of DSS research have indicated a need to improve its quality and relevance. DSS design science has an important role in this improvement as design science can engage industry and the profession in intellectually important projects. The 2004 publication of the Hevner, March, Park, and Ram (HMPR) Guidelines for the conduct and assessment of information systems design science provides a vehicle for assessing DSS design science. This paper presents research that used bibliometric content analysis to apply the HMPR Guidelines to a representative sample of DSS design-science papers in 14 journals. The analysis highlights issues that need attention, notably, evaluation, research design, and theorizing. Comments are also offered on the experience of applying the HMPR Guidelines to a large body of research. 2008 Conference Paper http://hdl.handle.net/20.500.11937/28627 Australian National University ANU fulltext
spellingShingle design science
decision support systems
Arnott, David
Pervan, Graham
An assessment of DSS design science using the Hevner, March, Park, and Ram guidelines.
title An assessment of DSS design science using the Hevner, March, Park, and Ram guidelines.
title_full An assessment of DSS design science using the Hevner, March, Park, and Ram guidelines.
title_fullStr An assessment of DSS design science using the Hevner, March, Park, and Ram guidelines.
title_full_unstemmed An assessment of DSS design science using the Hevner, March, Park, and Ram guidelines.
title_short An assessment of DSS design science using the Hevner, March, Park, and Ram guidelines.
title_sort assessment of dss design science using the hevner, march, park, and ram guidelines.
topic design science
decision support systems
url http://hdl.handle.net/20.500.11937/28627