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, 99–105.
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