Skip to main content

Design Logic and the Ambiguity Operator

  • Conference paper
Global Perspectives on Design Science Research (DESRIST 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6105))

Abstract

Technological rules are one form of expressing management design activities like organizational design, decision design, and information systems design. However, the notion of a “rule” can imply an unintended over-specification of premises and outcomes. We propose a design logic using the concept of an ambiguity operator in the predicate logic format. To test the validity of the ambiguity operator, we used it to express the theory under test in a field experiment. The field experiment demonstrated that the ambiguity operator is both useful and valid in logically capturing the field reality when applying designs expressed in the form of technological rules.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. March, S.T., Smith, G.F.: Design and natural science research on information technology. Decision Support Systems 15(4), 251–266 (1995)

    Article  Google Scholar 

  2. Walls, J.G., Widmeyer, G.R., El Sawy, O.A.: Building an information system design theory for vigilant EIS. Information Systems Research 3(1), 36–59 (1992)

    Article  Google Scholar 

  3. Simon, H.A.: The Sciences of the Artificial, 3rd edn. MIT Press, Cambridge (1996)

    Google Scholar 

  4. Orlikowski, W.J., Iacono, C.S.: Research commentary: Desperately seeking "IT" in IT research - A call to theorizing the IT artifact. Information Systems Research 12(2), 121–134 (2001)

    Article  Google Scholar 

  5. Iivari, J.: A paradigmatic analysis of Information Systems as a design science. Scandinavian Journal of Information Systems 19(2), 39–63 (2007)

    Google Scholar 

  6. Gregor, S., Jones, D.: The Anatomy of a Design Theory. Journal of the Association for Information Systems 8(5), 312–335 (2007)

    Google Scholar 

  7. van Aken, J.E.: Management Research Based on the Paradigm of the Design Sciences: The Quest for Field-Tested and Grounded Technological Rules. The Journal of Management Studies 41(2), 219–246 (2004)

    Article  Google Scholar 

  8. Pries-Heje, J., Baskerville, R.: The design theory nexus. MIS Quarterly 32(4), 731–755 (2008)

    Google Scholar 

  9. Bryan, S.P.: Cognitive complexity, transformational leadership, and organizational outcomes, Louisiana State University and Agricultural & Mechanical College: United States – Louisiana (2002)

    Google Scholar 

  10. Fritzen, S.A.: Can the Design of Community-Driven Development Reduce the Risk of Elite Capture? Evidence from Indonesia. World Development 35(8), 1359–1375 (2007)

    Google Scholar 

  11. Groat, L., Wang, D.: Architectural Research Methods. Wiley, New York (2002)

    Google Scholar 

  12. Kant, I.: The Critique of Pure Reason (1781). In: Rand, B. (ed.) Modern Classical Philosophers, pp. 370–456. Houghton Mifflin, Cambridge (1908)

    Google Scholar 

  13. Gensler, H.J.: Formal Ethics. Routledge, New York (1996)

    Google Scholar 

  14. van Aken, J.E.: Valid knowledge for the professional design of large and complex design processes. Design Studies 26(4), 379–404 (2005)

    Article  Google Scholar 

  15. van Aken, J.E.: Management Research as a Design Science: Articulating the Research Products of Mode 2 Knowledge Production in Management. Journal of Management 16(1), 19–36 (2005)

    Google Scholar 

  16. Pawson, R., Tilley, N.: Realistic Evaluation. Sage, London (1997)

    Google Scholar 

  17. Denyer, D., Tranfield, D., van Aken, J.: Developing Design Propositions through Research Synthesis. Organization Studies 29(3), 393–413 (2008)

    Article  Google Scholar 

  18. Pries-Heje, J., Baskerville, R.: Management Design Theories. In: Pries-Heje, J., et al. (eds.) Human Benefits Through the Diffusion of Information Systems Design Science Research. Springer, Boston (2010)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Baskerville, R., Pries-Heje, J. (2010). Design Logic and the Ambiguity Operator. In: Winter, R., Zhao, J.L., Aier, S. (eds) Global Perspectives on Design Science Research. DESRIST 2010. Lecture Notes in Computer Science, vol 6105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13335-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13335-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13334-3

  • Online ISBN: 978-3-642-13335-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics