BAMN: a modeling method for business activity monitoring systems

References

• activiti.org. (2016). Activiti user guide, v5.21.0. Retrieved from http://www.activiti.org/userguide/
   Google Scholar
• Appel, S. (2014). Integration of event processing with service-oriented architectures and business processes (Dissertation). Darmstadt,: TU Darmstadt.
   Google Scholar
• Barros, A., Decker, G., & Grosskopf, A. (2007). Complex events in business processes. Paper presented at the 10th International Conference on Business Information Systems (BIS), Lecture Notes in Computer Science, Poznan.
   Google Scholar
• Becker, J., & Pfeiffer, D. (2007). Konzeptionelle modellierung: Ein wissenschaftstheoretischer Forschungsleitfaden. In F. Lehner & S. Zelewski (Eds.), Wissenschaftstheoretische Fundierung und wissenschaftliche Orientierung der Wirtschaftsinformatik (pp. 1–17). Berlin: Gito.
   Google Scholar
• Brinkkemper, S. (1996). Method engineering: Engineering of information systems development methods and tools. Information and Software Technology, 38(4), 275–280.
   Web of Science ®Google Scholar
• Bulos, D. (1996). OLAP database design: A new dimension. Database Programming & Design, 9(6), 33–37.
   Google Scholar
• Costello, C., & Molloy, O. (2008). Towards a semantic framework for business activity monitoring and management. Paper presented at the AAAI 2008 Spring Symposium: AI Meets Business Rules and Process Management, Stanford, CA.
   Google Scholar
• Decker, G., Grosskopf, A., & Barros, A. (2007). A graphical notation for modeling complex events in business processes. Paper presented at the 11th IEEE International Enterprise Distributed Object Computing Conference (EDOC), Annapolis, MD.
   Google Scholar
• DeFee, J., & Harmon, P. (2004). Business activity monitoring and simulation. In L. Fischer (Ed.), Workflow handbook 2005 (pp. 53–74). Lighthouse Point, FL: Future Strategies.
   Google Scholar
• del-Río-Ortega, A., Resinas, M., Cabanillas, C., & Ruiz-Cortés, A. (2013). On the definition and design-time analysis of process performance indicators. Information Systems, 38(4), 470–490.
   Web of Science ®Google Scholar
• Dumas, M., Rosa, M.L., Mendling, J., & Reijers, H.A. (2018). Fundamentals of business process management (2nd ed.). Berlin: Springer.
   Google Scholar
• EsperTech Inc. (2014). Esper reference. Version 5.1.0. Retrieved from http://www.espertech.com/esper/release-5.1.0/esper-reference/pdf/esper_reference.pdf
   Google Scholar
• Etzion, O., & Niblett, P. (2010). Event processing in action. Cincinnati, OH: Manning Publications.
   Google Scholar
• Frank, U. (1999). Conceptual modelling as the core of the information systems discipline: Perspectives and epistemological challenges. Paper presented at the 5th Americas Conference on Information Systems (AMCIS), Milwaukee, WI.
   Google Scholar
• Friedenstab, J.-P., Janiesch, C., Matzner, M., & Müller, O. (2012). Extending BPMN for business activity monitoring. Paper presented at the 45th Hawai’i International Conference on System Sciences (HICSS), Maui, HI.
   Google Scholar
• Gabriel, S., & Janiesch, C. (2016). Konzeptionelle modellierung ausführbarer event processing networks für das event-driven business process management. Paper presented at the Modellierung 2016, Lecture Note in Informatics, Karlsruhe.
   Google Scholar
• Greiffenberg, S. (2003). Methoden als Theorien der Wirtschaftsinformatik. Paper presented at the 6. Internationale Tagung Wirtschaftsinformatik (WI), Dresden.
   Google Scholar
• Holten, R. (2003). Specification of management views in information warehouse projects. Information Systems, 28(7), 709–751.
   Web of Science ®Google Scholar
• Janiesch, C., & Diebold, J. (2016). Conceptual modeling of event processing networks. Paper presented at the 24th European Conference on Information Systems (ECIS), Istanbul.
   Google Scholar
• Janiesch, C., Fischer, M., Winkelmann, A., & Nentwich, V. (2019). Specifying autonomy in the internet of things: The autonomy model and notation. In Information Systems and E-business Management, 17(1), 159–194. doi:10.1007/s10257-018-0379-x
   Web of Science ®Google Scholar
• Janiesch, C., Matzner, M., & Müller, O. (2012). Beyond process monitoring: A proof-of-concept of event-driven business activity management. Business Process Management Journal, 18(4), 625–643.
   Google Scholar
• Knackstedt, R., Janiesch, C., & Rieke, T. (2006). Configuring reference models: An integrated approach for transaction processing and decision support. Paper presented at the 8th International Conference on Enterprise Information Systems (ICEIS), Paphos.
   Google Scholar
• Krumeich, J., Weis, B., Werth, D., & Loos, P. (2014). Event-driven business process management: Where are we now? A comprehensive synthesis and analysis of literature. Business Process Management Journal, 20(4), 615–633.
   Google Scholar
• Kühne, T. (2006). Matters of (Meta-) modeling. Journal on Software and Systems Modeling, 5(4), 369–385.
   Google Scholar
• Kunz, S., Fickinger, T., Prescher, J., & Spengler, K. (2010). Managing complex event processes with business process modeling notation. Paper presented at the 2nd International Workshop on Buisness Process Modeling Notation (BPMN), Lecture Notes in Buisness Information Processing, Potsdam.
   Google Scholar
• Mendling, J., Strembeck, M., & Recker, J. (2012). Factors of process model comprehension: Findings from a series of experiments. Decision Support Systems, 53(1), 195–206.
   Web of Science ®Google Scholar
• Moody, D.L. (2009). The “Physics” of notations: Toward a scientific basis for constructing visual notations in software engineering. IEEE Transactions on Software Engineering, 35(6), 756–779.
   Web of Science ®Google Scholar
• Nesamoney, D. (2004). BAM: Event-driven business intelligence for the real-time enterprise. DM Review, 14(3), 38–40.
   Google Scholar
• Nuseibeh, B.A., Finkelstein, A., & Kramer, J. (1996). Method engineering for multi-perspective software development. Information and Software Technology, 38(4), 267–274.
   Web of Science ®Google Scholar
• Object Management Group Inc. (2013). Business process model and notation (BPMN) Version 2.0.2. Retrieved from http://www.omg.org/spec/BPMN/2.0.2/PDF
   Google Scholar
• Object Management Group Inc. (2016). Decision model and notation (DMN). V1.1. Retrieved from http://www.omg.org/spec/DMN/1.1/PDF
   Google Scholar
• Peckham, J., & Maryanski, F. (1988). Semantic data models. ACM Computing Surveys, 20(3), 153–189.
   Web of Science ®Google Scholar
• Pedrinaci, C., Lambert, D., Wetzstein, B., van Lessen, T., Cekov, L., & Dimitrov, M. (2008). SENTINEL: A semantic business process monitoring tool. Paper presented at the 1st International Workshop on Ontology-supported Business Intelligence (OBI), Karlsruhe.
   Google Scholar
• Schenk, S. (2019). Celonis action engine. Talk at celosphere. München.
   Google Scholar
• Seidel, S., Knackstedt, R., & Janiesch, C. (2006). Procedure model for the analysis and design of reporting systems: A case study in conceptual modelling. Paper presented at the 17th Australasian Conference on Information Systems (ACIS), Adelaide.
   Google Scholar
• Simitsis, A. (2004). Modeling and optimization of extraction-transformation-loading (ETL) processes in data warehouse environments (Dissertation). NTU Athens, Athens.
   Google Scholar
• Strahringer, S. (1996). Metamodellierung als Instrument des Methodenvergleichs: Eine Evaluierung am Beispiel objektorientierter Analysemethoden (Dissertation). Shaker, Darmstadt, Aachen.
   Google Scholar
• Teubner, R.A. (1999). Organisations- und Informationssystemgestaltung: Theoretische Grundlagen und integrierte Methoden. Wiesbaden: Deutscher Universitäts-Verlag.
   Google Scholar
• Venable, J., Pries-Heje, J., & Baskerville, R. (2016). FEDS: A framework for evaluation in design science research. European Journal of Information Systems, (25:1), 77–89. doi:10.1057/ejis.2014.36
   Web of Science ®Google Scholar
• Vidačković, K. (2014). Eine Methode zur Entwicklung dynamischer Geschäftsprozesse auf Basis von Ereignisverarbeitung (Dissertation). Stuttgart, Stuttgart.
   Google Scholar
• von Ammon, R., Emmersberger, C., Ertlmaier, T., Etzion, O., Paulus, T., & Springer, F. (2009). Existing and future standards for event-driven business process management. Paper presented at the 3rd ACM International Conference on Distributed Event-Based Systems (DEBS), Nashville, TN.
   Google Scholar
• von Halle, B. (2001). Business rules applied: Building better systems using the business rules approach. New York, NY: John Wiley & Sons.
   Google Scholar
• Workflow Management Coalition (WfMC). (1995). Workflow management coalition: The workflow reference model. Document number TC00-1003. V1.1. Retrieved from http://www.wfmc.org/docs/tc003v11.pdf
   Google Scholar
• Zur Muehlen, M., & Shapiro, R. (2015). Business process analytics. In J. Vom Brocke & M. Rosemann (Eds.), Handbook on business process management: Strategic alignment, governance, people and culture (Vol. 2), (pp. 243–263). Berlin: Springer.
   Google Scholar