Two paradigms characterize much of the research in the Information
Systems discipline: behavioral science and design science. The behavioral-science
paradigm seeks to develop and verify theories that explain or predict
human or organizational behavior. The design-science paradigm seeks
to extend the boundaries of human and organizational capabilities
by creating new and innovative artifacts. Both paradigms are foundational
to the IS discipline, positioned as it is at the confluence of people,
organizations, and technology. Our objective is to describe the performance
of design-science research in Information Systems via a concise conceptual
framework and clear guidelines for understanding, executing, and
evaluating the research. In the design-science paradigm, knowledge
and understanding of a problem domain and its solution are achieved
in the building and application of the designed artifact. Three recent
exemplars in the research literature are used to demonstrate the
application of these guidelines. We conclude with an analysis of
the challenges of performing high-quality design-science research
in the context of the broader IS community.
%0 Journal Article
%1 Hevner:2004:misq
%A Hevner, Alan R.
%A March, Salvatore T.
%A Park, Jinsoo
%A Ram, Sudha
%D 2004
%J Mgmt. Information Science Quarterly
%K imported thesis
%N 1
%P 75--105
%T Design Science in Information Systems Research
%U http://www.jstor.org/stable/25148625
%V 28
%X Two paradigms characterize much of the research in the Information
Systems discipline: behavioral science and design science. The behavioral-science
paradigm seeks to develop and verify theories that explain or predict
human or organizational behavior. The design-science paradigm seeks
to extend the boundaries of human and organizational capabilities
by creating new and innovative artifacts. Both paradigms are foundational
to the IS discipline, positioned as it is at the confluence of people,
organizations, and technology. Our objective is to describe the performance
of design-science research in Information Systems via a concise conceptual
framework and clear guidelines for understanding, executing, and
evaluating the research. In the design-science paradigm, knowledge
and understanding of a problem domain and its solution are achieved
in the building and application of the designed artifact. Three recent
exemplars in the research literature are used to demonstrate the
application of these guidelines. We conclude with an analysis of
the challenges of performing high-quality design-science research
in the context of the broader IS community.
@article{Hevner:2004:misq,
abstract = {Two paradigms characterize much of the research in the Information
Systems discipline: behavioral science and design science. The behavioral-science
paradigm seeks to develop and verify theories that explain or predict
human or organizational behavior. The design-science paradigm seeks
to extend the boundaries of human and organizational capabilities
by creating new and innovative artifacts. Both paradigms are foundational
to the IS discipline, positioned as it is at the confluence of people,
organizations, and technology. Our objective is to describe the performance
of design-science research in Information Systems via a concise conceptual
framework and clear guidelines for understanding, executing, and
evaluating the research. In the design-science paradigm, knowledge
and understanding of a problem domain and its solution are achieved
in the building and application of the designed artifact. Three recent
exemplars in the research literature are used to demonstrate the
application of these guidelines. We conclude with an analysis of
the challenges of performing high-quality design-science research
in the context of the broader IS community.},
added-at = {2017-03-16T11:50:55.000+0100},
author = {Hevner, Alan R. and March, Salvatore T. and Park, Jinsoo and Ram, Sudha},
biburl = {https://www.bibsonomy.org/bibtex/2eba0d51afd9120bbf845e0dd1685e1d7/krevelen},
interhash = {3cec339fe222585d6886d96242e234a4},
intrahash = {eba0d51afd9120bbf845e0dd1685e1d7},
journal = {Mgmt. Information Science Quarterly},
keywords = {imported thesis},
month = mar,
number = 1,
owner = {Rick},
pages = {75--105},
timestamp = {2017-03-16T11:54:14.000+0100},
title = {Design Science in Information Systems Research},
url = {http://www.jstor.org/stable/25148625},
volume = 28,
year = 2004
}