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Towards emergence phenomenon in business process management

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A standard solution regarding business process management automation in enterprises is the use of workflow management systems working by the Rule-Based Reasoning approach. In such systems, the process model which is designed entirely before the implementation has to meet all needs deriving from business activity of the organization. In practice, it means that great limitations arise in process control abilities, especially in the dynamic business environment. Therefore, new kinds of workflow systems may help which typically work in more agile way e.g. following the Case-Based Reasoning approach. The paper shows another possible solution – the use of emergence theory which indicates among other conditions required to fulfill stimulation of the system (for example the business environment) to run grass-roots processes that lead to arising of new more sophisticated organizing forms. The paper also points the using opportunity of such techniques as the processing of complex events to fulfill key conditions pointed by the emergence theory.
Rocznik
Strony
263--277
Opis fizyczny
Bibliogr. 17 poz., rys., schem.
Twórcy
autor
  • Rzeszow University of Technology, W. Pola str. 2, 35-959 Rzeszow, Poland
autor
  • Rzeszow University of technology, W. Pola str. 2, 35-959 Rzeszow, Poland
Bibliografia
  • [1] W. M. P. van der Aalst: Process Mining. Data Science in Action, Springer, 2016.
  • [2] H. J. Briegel and G. De las Cuevas: Projective Simulation for Artificial Intelligence. Scientific Reports, 2012.
  • [3] A. Cockburn: Writing Effective Use Cases. Addison-Wesley Professional, 2000.
  • [4] G. Di Marzo Serugendo, M-P. Gleizes and A. Karageorgos (Ed.): Self-organising Software. From Natural to Artificial Adaptation. Springer-Verlag Berlin Heidelberg, 2011.
  • [5] M. Dumas, W. M. P van der Aalst and A. H. ter Hofstede: Process Aware Information Systems: Bridging People and Software Through Process Technology. Wiley-Interscience, 2005.
  • [6] S. Johnson: Emergence: The Connected Lives of Ants, Brains, Cities, and Software. Touchstone, New York, 2001.
  • [7] H. D. Jorgensen and S. Carlsen: Emergent Workflow: Planning and Performance of Process Instances. Proc.of the 1999 Workflow Management Conf. – Workflow-based Applications, (1999).
  • [8] P. Lawrence (Ed.): Workflow Handbook 1997. Workflow Management Coalition. John Wiley & Sons Ltd, 1997.
  • [9] D. Luckham: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley, 2002.
  • [10] D. Luckham: Event Processing for Business. Organizing the Real-Time Enterprise. John Wiley & Sons, Inc., Hoboken, New Jersey, 2012.
  • [11] H. R. Motahari-Nezhad and K. D. Swenson: Adaptive Case Management: Overview and Research Challenges. IEEE Int. Conf. on Business Informatics, (2013).
  • [12] Object Management Group (OMG): Business Process Model and Notation (BPMN).
  • [13] A. Rantrua, M. Gleizes and C. Hanachi: Flexible and emergent workflows using adaptive agents. ICCCI 5th Int. Conf. on Computational Collective Intelligence, Technologies and Applications, (2013).
  • [14] J. R. Searle: Speech Acts. Cambridge University Press, 1969.
  • [15] P. C. Verhoef, P. K. Kannan and J. J. Inman: From multi-channel retailing to omni-channel retailing. Introduction to the special issue on multi-channel retailing. J. of Retailing, 91(2), 2015.
  • [16] M. von Rosing, H. von Scheel and A. Scheer: The Complete Business Process Handbook: Body of Knowledge from Process Modeling to BPM. Morgan Kaufmann, 2014.
  • [17] B. Weber and W. Wild: An Agile Approach to Workflow Management. Lecture Notes in Informatics, Gesellschaft für Informatik, Bonn, 2012.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-deecad36-d609-49ce-9f7a-c2523c491907
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