Recently Saved by dhouse109 on January 26, 2013
First saved by laurisaarinen on January 04, 2010
This page is dedicated to design science research in Information Systems (IS). Design science research is yet another "lens" or set of analytical techniques and perspectives (complementing the Positivist and Interpretive perspectives) for performing research in IS. Design science research involves the design of novel or innovative artifacts and the analysis of the use and/or performance of such artifacts to improve and understand the behavior of aspects of Information Systems. Such artifacts include - but certainly are not limited to - algorithms (e.g. for information retrieval), human/computer interfaces and system design methodologies or languages. design science researchers can be found in many disciplines and fields, notably Engineering and Computer Science, using a variety of approaches, methods and techniques. In Information Systems, following a number of years of a general shift in IS research away from technological to managerial and organizational issues, an increasing number of observers are calling for a return to an exploration of the "IT" that underlies all IS research (Orlikowski and Iacono, 2001).
The page is organized as follows. We begin with a general overview of design science research, provide its philosophical and epistemological underpinnings, and contrast design science research in IS with traditional positivist and qualitative research in IS. This is followed by a section on design science research methods that includes an extended discussion of a published example of design science research in IS. Through the example we hope to make concrete all phases of the design science research method: artifact design, construction, analysis and evaluation.