Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

  • 1280 Accesses

Abstract

This paper seeks to understand how software systems and organisations co-evolve in practice and how order emerges in the overall environment. Using a metaphor of timetable as a commons, we analyse the introduction of a novel academic scheduling system to demonstrate how Complex Adaptive Systems theory provides insight into the adaptive behaviour of the various actors and how their action is both a response to and a driver of co-evolution within the engagement.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Somers, T.M., Nelson, K.G.: A taxonomy of players and activities across the ERP project life cycle. Inf. & Man. 41(3), 257–278 (2004)

    Google Scholar 

  2. Cooper, R.B., Zmud, R.W.: Information Technology Implementation Research: A Technological Diffusion Approach. Mgmt. Sci. 36(2), 123–139 (1990)

    Article  Google Scholar 

  3. Kwon, T.H., Zmud, R.W.: Unifying the Fragmented Models of Information Systems Implementation. In: Boland, R.J., Hirschheim, R.A. (eds.) Critical issues in information systems research, pp. 227–251. Wiley, Chichester (1987)

    Google Scholar 

  4. Markus, M.L.: Power, Politics, and MIS Implementation. Comm. ACM 26(6), 430–444 (1983)

    Article  Google Scholar 

  5. Hong, K.-K., Kim, Y.-G.: The critical success factors for ERP implementation: an organizational fit perspective. Inf. & Man. 40(1), 25–40 (2002)

    Google Scholar 

  6. Soh, C., Sia, S.K., Tay-Yap, J.: Cultural fits and misfits: Is ERP a universal solution? Comm. ACM 43(4), 47–51 (2000)

    Article  Google Scholar 

  7. Kaghan, W.N., Bowker, G.C.: Out of machine age?: complexity, sociotechnical systems and actor network theory. J. Eng. Tech. Man. 18(3-4), 253–269 (2001)

    Article  Google Scholar 

  8. Morel, B., Ramanujam, R.: Through the Looking Glass of Complexity: The Dynamics of Organizations as Adaptive and Evolving Systems. Org. Sci. 10(3), 278–293 (1999), Special Issue: Application of Complexity Theory to Organization Science

    Google Scholar 

  9. Axelrod, R., Cohen, M.D.: Harnessing complexity: organizational implications of a scientific frontier. Basic Books, New York (2000)

    Google Scholar 

  10. Anderson, P.: Complexity Theory and Organization Science. Org. Sci. 10(3), 216–232 (1999) Special Issue: Application of Complexity Theory to Organization Science

    Google Scholar 

  11. Kim, R.M., Kaplan, S.M.: Co-Evolution in Information Systems Engagement: exploration, ambiguity and the emergence of order. In: ALOIS*2005 3rd Int Conf on Action in Language, Organisations and Information Systems, Limerick, Ireland, pp. 166–180 (2005)

    Google Scholar 

  12. Ostrom, E.: Governing the commons: the evolution of institutions for collective action. Cambridge University Press, Cambridge (1990)

    Google Scholar 

  13. Wilson, J.: Scientific Uncertainty, Complex Systems, and the Design of Common-Pool Institutions. In: Weber, E.U. (ed.) The drama of the commons, pp. 327–359. National Academy Press, Washington (2002)

    Google Scholar 

  14. Kaplan, S., Seebeck, L.: Harnessing Complexity in CSCW. In: Seventh European Conference on Computer Supported Cooperative Work (ECSCW 2001), Bonn, Germany (2001)

    Google Scholar 

  15. van Valen, L.: A New Evolutionary Law. Evolutionary Theory 1(1), 1–30 (1973)

    Google Scholar 

  16. Kauffman, S.A.: At home in the universe: the search for the laws of self-organization and complexity. Oxford University Press, New York (1995)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kim, R.M., Kaplan, S.M. (2005). Adaptation on the Commons. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_116

Download citation

  • DOI: https://doi.org/10.1007/11553939_116

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics