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Complex Adaptive Systems Theory in the Context of Business Process Management

  • Conference paper
S-BPM ONE - Application Studies and Work in Progress (S-BPM ONE 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 422))

Abstract

Organizations require agility, adaptiveness, and flexibility to survive and to deal with complexity in business ecosystems and business processes are recognized as cornerstones of successful organizations. Paradigms underlying existing business process management (BPM) methods and solutions have been questioned for their ability to capture the complexity of business dynamics. The basic trust of this research is to search for an alternative approach to better understand underpinnings of business process management. In this paper we contend that Complex Adaptive Systems (CAS) theory can be an alternative approach to better examine underpinnings of the very notion of business process. In this regard, we articulate the basic principles of CAS in the business process management context. It is this articulation that paves the way to establish an appropriate account for BPM.

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References

  1. Hammer, M.: Reengineering work: Don’t automate, obliterate. Harvard Business Review 68(4), 104–112 (1990)

    Google Scholar 

  2. Phalp, K.T.: The CAP Framework for business process modelling. Information and Software Technology 40(13), 731–744 (1998)

    Article  Google Scholar 

  3. van der Aalst, W.M.P., ter Hofstede, A.: YAWL: Yet another workflow language. Information Systems 30(4), 245–275 (2005)

    Article  Google Scholar 

  4. Rosemann, M.: Potential pitfalls of process modeling: Part A. Business Process Management Journal 12(2), 249–254 (2006)

    Article  Google Scholar 

  5. Business Process Model and Notation, http://www.bpmn.org/

  6. van der Aalst, W.M.P.: Three good reasons for using a Petri-net-based workflow management system. In: Navathe, S., Wakayama, T. (eds.) Proceedings of the International Working Conference on Information and Process Integration in Enterprises (IPIC 1996), Cambridge, Massachusetts, November 14-15, pp. 179–201 (1996)

    Google Scholar 

  7. Huckvale, T., Ould, M.: Process Modeling – Who, What & How: Role Activity Diagramming. In: Grover, V., Kettinger, W. (eds.) Business Process Change: Reengineering Concepts, Methods and Technology. Idea Group Publishing (1995)

    Google Scholar 

  8. Keller, G., Nüttgens, M., Scheer, A.-W.: Semantische Prozeßmodellierung auf der Grundlage “Ereignisgesteuerter Prozeßketten (EPK)”. In: Scheer, A.-W. (ed.) Veröffentlichungen des Instituts für Wirtschaftsinformatik. Heft 89, Saarbrücken (1992)

    Google Scholar 

  9. Shapiro, R.: A Comparison of XPDL, BPML and BPEL4WS. Draft version 1.4. Cape Visions (2002), http://xml.coverpages.org/Shapiro-XPDL.pdf (accessed June 2013)

  10. Bandara, W., Gable, G.G., Rosemann, M.: Factors and Measures of Business Process Modeling: Model Building Through a Multiple Case Study. European Journal of Information Systems 14(4), 347–360 (2005)

    Article  Google Scholar 

  11. Lissack, M.: Complexity: the science, its vocabulary, and its relation to organizations. Emergence 1(1), 110–126 (1999)

    Article  Google Scholar 

  12. Sutherland, J., van den Heuvel, W.: Enterprise application integration and complex adaptive systems. Communications of the ACM 45(10), 59–64 (2002)

    Article  Google Scholar 

  13. Anderson, P.: Complexity theory and organization science. Organization Science, 216–232 (1999)

    Google Scholar 

  14. Rhodes, M., MacKechnie, G.: Understanding public service systems: Is there a role for complex adaptive systems theory? Emergence 5(4), 57–85 (2003)

    Article  Google Scholar 

  15. Janssen, M., Kuk, G.: A complex adaptive system perspective of enterprise architecture in electronic government. In: Hawaii International Conference on System Sciences, vol. 39, p. 71. IEEE (2006)

    Google Scholar 

  16. Gell-Mann, M.: What is Complexity? In: Curzio, A.Q., Fortis, M. (eds.) Complexity and Industrial Clusters, pp, pp. 13–24. Physica-Verlag, Heidelberg (2002)

    Chapter  Google Scholar 

  17. Daft, R.L., Lewin Arie, Y.: Can organization studies begin to break out of the normal science straitjacket: An editorial essay. Organizational Science 1(1) (1990)

    Google Scholar 

  18. Casti, J.: Complexification: Explaining a Paradoxical World Through the Science of Surprise. Harper Collins, New York (1994)

    Google Scholar 

  19. Dooley, K.: A complex adaptive systems model of organizational change. Non-linear Dynamics, Psychology and the Life Sciences 1(1), 69–97 (1997)

    Article  MATH  Google Scholar 

  20. Holland, J.H.: Hidden order: How adaptation builds complexity. Helix Books (1995)

    Google Scholar 

  21. Jennings, N.R.: An agent-based approach for building complex software systems. Communications of the ACM 44(3), 35–41 (2001)

    Article  MathSciNet  Google Scholar 

  22. Forrest, S., Jones, T.: Modeling complex adaptive systems with Echo. In: Stonier, R.J., Yu, X.H. (eds.) Complex Systems: Mechanisms of Adaptation, pp. 3–21. IOS Press, Amsterdam (1994)

    Google Scholar 

  23. de Nooy, W., Mrvar, A., Batagelj, V.: Exploratory social network analysis with Pajek. Cambridge University Press, Cambridge (2005)

    Book  Google Scholar 

  24. Junker, B.H., Screiber, F.: Analysis of biological networks. John Wiley & Sons (2008)

    Google Scholar 

  25. Batagelj, V., Mrvar, A.: Pajek-Program for large network analysis. Connections 21, 47–57 (1998)

    Google Scholar 

  26. Rosemann, M., Recker, J., Indulska, M., Green, P.: A study of the evolution of the representational capabilities of process modeling grammars. In: Martinez, F.H., Pohl, K. (eds.) CAiSE 2006. LNCS, vol. 4001, pp. 447–461. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  27. G.R., Danon, L., Diaz-Guilera, A., Giralt, F., Arenas, A.: Self-similar community structure in a network of human interactions. Physical Review E 68, 065,103 (2003)

    Google Scholar 

  28. Di MarzoSerugendo, G., Gleizes, M.-P., Karageorgos, A.: Self-Organisation in MAS. Knowledge Engineering Review 20(2), 165–189 (2005)

    Article  Google Scholar 

  29. Brian Arthur, W.: Introduction: Process and Emergence in the Economy. In: Brian Arthur, W., Durlauf, S., Lane, D.A. (eds.) The Economy as an Evolving Complex System II, Addison-Wesley Pub. Co., Reading (1997)

    Google Scholar 

  30. Weske, M.: Business Process Management: Concepts, Languages, Architectures. Springer (2007)

    Google Scholar 

  31. Indulska, M., Recker, J.C., Rosemann, M., Green, P.: Business process modeling: current issues and future challenges. In: van Eck, P., Gordijn, J., Wieringa, R. (eds.) CAiSE 2009. LNCS, vol. 5565, pp. 501–514. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  32. Ehrler, L., Fleurke, M., Purvis, M., Tony, B., Savarimuthu, R.: Agent-based workflow management systems (WfMSs). Journal of Information Systems and E-Business Management 4(1), 5–23 (2005)

    Article  Google Scholar 

  33. Jennings, N.R., Faratin, P., Johnson, M.J., O’Brien, P., Wiegand, M.E.: Using intelligent agents to manage business processes. In: Crabtree, B., Jennings, N.R. (eds.) Proceedings of the First International Conference on Practical Applications of Intelligent Agents and Multi-Agent Technology (PAAM 1996), pp. 345–360. Practical Applications Company Ltd. (1996)

    Google Scholar 

  34. Reichert, M., Dadam, P.: Adeptflex—Supporting dynamic changes of workflows without losing control. Journal of Intelligent Information Systems 10(2), 93–129 (1998)

    Article  Google Scholar 

  35. Holland, J.: Signals and Boundaries: Building Blocks for Complex Adaptive Systems. MIT Press (2012)

    Google Scholar 

  36. Fischer, G., Herrmann, T.: Socio-technical systems: a meta-design perspective. International Journal of Sociotechnology and Knowledge Development (IJSKD) 3(1), 1–33 (2011)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. BPMTurkey, Istanbul, Turkey

    Eray Uluhan

  2. Department of MIS, Kadir Has University, Istanbul, Turkey

    Mehmet N. Aydin

Authors
  1. Eray Uluhan
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  2. Mehmet N. Aydin
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Editor information

Editors and Affiliations

  1. University of Applied Sciences Ingolstadt, Esplanade 10, 85049, Ingolstadt, Germany

    Cornelia Zehbold

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Uluhan, E., Aydin, M.N. (2014). Complex Adaptive Systems Theory in the Context of Business Process Management. In: Zehbold, C. (eds) S-BPM ONE - Application Studies and Work in Progress. S-BPM ONE 2014. Communications in Computer and Information Science, vol 422. Springer, Cham. https://doi.org/10.1007/978-3-319-06191-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-06191-7_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06190-0

  • Online ISBN: 978-3-319-06191-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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