Design science research is an approach to research that involves collecting information about a problem and trying to find a solution to it. The design science research process is iterative, with the goal of developing an artifact to address an identified problem. The artifact is then implemented and evaluated to see if it works well, with lessons learned incorporated back into the knowledge base to refine subsequent iterations of the design. Design science research is well-suited for problems involving software development, systems design, and other innovative projects requiring testing during development.
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Design science presentation By Aline Cavalcante and Destinnie Rickard
3. DESIGN SCIENCE RESEARCH PROCESS
KNOWLEDGE BASE
Simplified view based on VASHNAVI & KUESHCHLER,
2004.
AWARENESS
PROPOSAL
Industry
Reference
area
Peolple
REQUISITES
PROVIDED
SUGGESTION
PROTOTYPE
DEVELOPMENT
BASED ON
REQUISITES
DEVELOPMENT
ARTIFACT
IMPLEMENTATIO
N OF TENTATIVE
DESIGN
EVALUATION
PERFORMANCE
MEASURES
DOES IT WORK
WELL WHEN
TESTED?
CONCLUSION
RESULTS
SOLUTION
CREATED FOR
THE PROBLEM +
OPERATIONAL
AND DESIGN
PRINCIPLES
4. WHAT IS IT
GOOD FOR?
DESIGN SCIENCE RESEARCH
Software development
Systems Design and Development
Design creations
Any INNOVATIVE project that needs
testing while being developed!
5. HOW CAN I
USE IT IN I.T.
RESEARCH?
DESIGN SCIENCE RESEARCH
IT WAS FIRST USED FOR IT PURPOSES ON
INFORMATION SYSTEMS.
IT CAN BE USED FOR SOFTWARE AND SYSTEMS
DEVELOPMENT
IT INNOVATION
6. WHAT ARE THE
STRENGTHS OF
DSR?
DESIGN SCIENCE RESEARCH
THE ITERATIVE NATURE OF THE DESIGN
SCIENCE RESEARCH HELPS MEETING
REQUIREMENTS
DSR COLLABORATES TO THE KNOWLEDGE
BASE CONSTANTLY
7. WHAT ARE THE
WEAKNESSES
OF DSR?
DESIGN SCIENCE RESEARCH
IT HAS INNOVATION AS A CONSTRAINT
IT IS TIME CONSUMING
CANNOT BE USED TO ALL TYPES OF
PROBLEMS
IT MIGHT DRAW FROM MANY DIFFERENT
DISCIPLINES, THUS NEEDS IMPROVED
COMMUNICATION
8. Flow diagram describing the reconstruction process
based on the interaction between historical sources and 3D data
(Guidi, Russo, & Angheleddu, 2013, p. 104)
The methodology proposed in this paper in based
on an integrated approach for creating a 3D digital
reconstruction of an archaeological site, using
extensively the 3D documentation of the site in its
current state, followed by an iterative interaction
between archaeologists and digital modelers, leading
to a progressive refinement of the reconstructive
hypotheses.
This refinement loop on the reconstructive choices
is iterated until the result become convincing by both
points of view, integrating in the best way all the
available sources.
Problem: Methodology for data management in Architectural
Reconstruction and 3D modeling
10. REFERENCES
DESIGN SCIENCE RESEARCH
Guidi, G., Russo, M., & Angheleddu, D. (2013). DIGITAL
RECONSTRUCTION OF AN ARCHAEOLOGICAL SITE BASED ON
THE INTEGRATION OF 3D DATA AND HISTORICAL SOURCES.
ISPRS - International Archives of the Photogrammetry, Remote
Sensing and Spatial Information Sciences, XL-5-W1, 99105.
https://doi.org/10.5194/isprsarchives-XL-5-W1-99-2013
Helms, R., Giovacchini, E., Teigland, R., Kohler, T. (2010). A
Design Research Approach to Developing User Innovation
Workshops in Second Life. Journal of Virtual Worlds Research,
III. https://doi.org/10.4101/jvwr.v3i1.819
Papalambros, P. Y. (2015). Design Science: Why, What and How.
Design Science, 1. https://doi.org/10.1017/dsj.2015.1
MC: Design: Alan Hevner - Is Design Science the Future of
Innovation? (2015). Retrieved from
https://www.youtube.com/watch?v=llsXxtyiiQo