Information systems effectiveness: the construct space and patterns of application
Information and Management
Analysing information systems evaluation: another look at an old problem
European Journal of Information Systems - Special issue on information systems evaluaiton
Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
Smart modeling: smart modeling - basic methodology and advanced tools
Proceedings of the 32nd conference on Winter simulation
Applications of computer simulation in health care
WSC '78 Proceedings of the 10th conference on Winter simulation - Volume 2
Simulation with Arena
Simulation Modeling and Analysis with Expertfit Software
Simulation Modeling and Analysis with Expertfit Software
Business process mining: An industrial application
Information Systems
Coloured Petri Nets and CPN Tools for modelling and validation of concurrent systems
International Journal on Software Tools for Technology Transfer (STTT)
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Information Systems
Process Diagnostics: A Method Based on Process Mining
EKNOW '09 Proceedings of the 2009 International Conference on Information, Process, and Knowledge Management
Information systems evaluation: an ongoing measure
International Journal of Business Information Systems
Framework, strategy and evaluation of health care processes with RFID
Decision Support Systems
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
The prom framework: a new era in process mining tool support
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
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In order to improve the performance of business processes often Information Technologies (ITs) are introduced. However, business processes are known to be complex and distributed among multiple business entities. As a result, the impact of new IT on an entire business process is typically hard to assess as quantitative methods for evaluation are missing. Therefore, in this paper, we propose a process-oriented methodology for evaluating the impact of IT on a business process ahead of its implementation. In our method, process mining and discrete event simulation are key ingredients. Based on automatically stored data, process mining allows for obtaining detailed knowledge on a business process, e.g., it can be discovered how a business process is actually executed. Using discrete event simulation, a model can be built which accurately mimicks the discovered process and which can subsequently be used for exploring and evaluating various redesign of the same process. Our method is evaluated by means of a detailed case study. For a complex dental process, it turns out that the introduction of new digital technologies is largely beneficial for patients and dental lab owners, whereas for dentists there is hardly any benefit.