Abstract
Within this article the prototype icebricks is described by its main characteristics which are layers of abstraction, attribution, reference models and semantic standardization by the use of a glossary. The layers are predefined in order to enhance the clarity and comparability of the processes. Attribution is used – beside the layers of abstraction – as means to reduce the complexity of the models by shifting information to analyzable and easily maintainable attributes instead of sophisticated control flows within the process elements. The glossary is inspired by the idea of model conventions. Each business object within it is defined once and can be used with defined activities as process building blocks within all models with the same semantic meaning. Furthermore, reference models are incorporated into the prototype to enable modelers with the possibility to create or derive purposeful models in a short period of time. The prototype was thoroughly and very successfully evaluated in its web based version in two process modeling projects aiming for process reorganization for an ERP system change and for a complete documentation of the process landscape for knowledge management.
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References
Becker, J., Kugeler, M., Rosemann, M.: Process Management: A Guide for the Design of Business Processes. Springer, Berlin (2011)
Davenport, T.H., Short, J.E.: The New Industrial Engineering: Information Technology and Business Process Redesign. Sloan Management Review, 11–27 (1990)
Hagen, C.R., Stucky, W.: Business-Process- und Workflow-Management. Teubner, Wiesbaden (2004)
Hammer, M., Champy, J.: Reengineering the Corporation: a Manifesto for business Revolution. HarperCollins, London (1993)
Melão, N., Pidd, M.: A conceptual framework for understanding business processes and business process modelling. Information Systems Journal 10, 105–129 (2000)
Gou, H., Huang, B., Liu, W., Li, X.: A framework for virtual enterprise operation management. Computers in Industry 50, 333–352 (2003)
Mendling, J., Reijers, H., Van der Aalst, W.M.P.: Seven Process Modeling Guidelines (7PMG). Information and Software Technology 52, 127–136 (2008)
Becker, J., Rosemann, M., Von Uthmann, C.: Guidelines of Business Process Modeling. In: van der Aalst, W., Desel, J., Overweis, A. (eds.) Business Process Management: Models, Techniques and Empirical Studies, pp. 30–49. Springer, Berlin (2000)
Hadar, I., Soffer, P.: Variations in conceptual modeling: classification and ontological analysis. Journal of AIS 7, 568–592 (2006)
Hadar, I., Soffer, P.: Variations in conceptual modeling: classification and ontological analysis. Journal of AIS 7, 568–592 (2006)
Batini, C., Lenzerini, M., Navathe, S.B.: A Comparative Analysis of Methodologies for Database Schema Integration. ACM Computing Surveys 18, 323–364 (1986)
Delfmann, P., Herwig, S., Lis, L.: Unified Enterprise Knowledge Representation with Conceptual Models - Capturing Corporate Language in Naming Conventions. In: 30th International Conference on Information Systems (ICIS 2009), Phoenix, Arizona, USA (2009)
Mendling, J., Reijers, H.A., Recker, J.: Activity labeling in process modeling: Empirical insights and recommendations. Information Systems 35, 467–482 (2010)
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Becker, J., Clever, N., Holler, J., Shitkova, M. (2013). Icebricks. In: vom Brocke, J., Hekkala, R., Ram, S., Rossi, M. (eds) Design Science at the Intersection of Physical and Virtual Design. DESRIST 2013. Lecture Notes in Computer Science, vol 7939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38827-9_27
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DOI: https://doi.org/10.1007/978-3-642-38827-9_27
Publisher Name: Springer, Berlin, Heidelberg
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