Design Science Research Frameworks

Chapter
First Online:
Part of the Integrated Series in Information Systems book series (ISIS, volume 22)

Abstract

The founding father of design science was Herbert E. Simon. Well known for his work on AI, decision making, and economics, Simon wrote a thought-provoking book called Sciences of the Artificial in the 1960s (Simon 1996). His profound insight was that certain phenomena or entities are “artificial” in the sense that they are contingent to the goals or purposes of their designer. In other words, they could have been different had the goals been different (as opposed to natural phenomena which are necessarily evolved given natural laws). He further posits: Since artifacts are contingent, how is a science of the artificial possible? How to study artifacts empirically? On the other hand, Simon also deals with the notion of complexity. This is necessary because artificiality and complexity are inextricably interwoven.

Keywords

Mental Model Research Output Theory Building Founding Father Design Science Research 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in to check access.

References

  1. Archer, L. B. (1984) Systematic Method for Designers, John Wiley, London.Google Scholar
  2. Baskerville, R. L. (1999) Investigating information systems with action research, Communications of the Association for Information Systems 2 (19). Available at: http://aisel.aisnet.org/cais/vol2/iss1/19
  3. Eekels, J. and N. F. M. Roozenburg (1991) A methodological comparison of the structures of scientific research and engineering design: their similarities and differences. Design Studies 12 (4), pp. 197–203.CrossRefGoogle Scholar
  4. Hevner, A., S. March, J. Park, and S. Ram (2004) Design science in information systems research, MIS Quarterly 28 (1), pp. 75–105.Google Scholar
  5. Jarvinen, P. (2007) Action research is similar to design science, Quality & Quantity 41 (1), pp. 37–54.CrossRefGoogle Scholar
  6. Johnson-Laird, P. and R. Byrne (2000) A gentle introduction, Mental Models Website, School of Psychology, Trinity College, Dublin (available at http://www.tcd.ie/Psychology/Ruth_Byrne/mental_models/).
  7. March, S. T. and G. F. Smith (1995) Design and natural science research on information technology, Decision Support Systems 15, pp. 251–266.CrossRefGoogle Scholar
  8. Nunamaker, J. F., M. Chen et al. (1990–91) Systems development in information systems research, Journal of Management Information Systems 7 (3), pp. 89–106.Google Scholar
  9. Peffers, K., T. Tuunanen, M. A. Rothenberger, and S. Chatterjee (2008) A design science research methodology for information systems research. Journal of Management Information Systems (JMIS) 24 (3), pp. 45–77.Google Scholar
  10. Simon, H. A. (1996) Sciences of the Artificial, MIT Press, Cambridge, MA.Google Scholar
  11. Takeda, H., P. Veerkamp, T. Tomiyama, and H. Yoshikawam (1990) Modeling design processes, AI Magazine, Winter, pp. 37–48.Google Scholar
  12. Vaishnavi, V. and W. Kuechler (2004) Design Research in Information Systems, January 20, 2004. URL: http://desrist.org/design-research-in-information-systems/
  13. Vaishnavi, V. K. and W. Kuechler Jr. (2007) Design Science Research methods and Patterns: Innovating Information and Communication Technology, Auerbach Publications, Taylor & Francis Group, Boca Raton, FL, New York.CrossRefGoogle Scholar
  14. Walls, J. G., G. R. Widmeyer et al. (1992) Building an information system design theory for vigilant EIS, Information Systems Research 3 (1), pp. 36–59.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag US 2010

Authors and Affiliations

  1. 1.College of BusinessUniversity of South FloridaTampaUSA
  2. 2.School of Information Systems and TechnologyClaremont Graduate UniversityClaremontUSA

Personalised recommendations