Witschel, Hans Friedrich
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Hans Friedrich
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Witschel, Hans Friedrich
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- PublikationAn Ontology-based and Case-based Reasoning supported Workplace Learning Approach(Springer, 2016) Emmenegger, Sandro; Thönssen, Barbara; Laurenzi, Emanuele; Martin, Andreas; Zhang Sprenger, Congyu; Hinkelmann, Knut; Witschel, Hans Friedrich [in: Communications in Computer and Information Science]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationFührung. Verwenden Sie die richtigen Kennzahlen?(Swisscom, 01.10.2014) Witschel, Hans Friedrich [in: KMU Business World]Die Arbeit mit Kennzahlen oder «Key Performance Indicators» gilt als bewährtes Mittel der Unternehmens-Steuerung. Doch solche Zahlen können auch falsche Anreize für die Mitarbeitenden setzen. Hier ein paar Beispiele dazu.01B - Beitrag in Magazin oder Zeitung
- PublikationAn approach for coping with risks in contract management(2013) Lutz, Jonas; Thönssen, Barbara; Witschel, Hans Friedrich [in: Knowledge Engineering and Knowledge Management, IC3K 2012]04B - Beitrag Konferenzschrift
- PublikationLearning Business Rules for Adaptive Process Models(2012) Hinkelmann, Knut; Witschel, Hans Friedrich; Nguyen, Tuan Q. [in: BUSTECH 2012 - Second International Conference on Business Intelligence and Technology]This work presents a new approach to handling knowledge-intensive business processes in an adaptive, flexible and accurate way. We propose to support processes by executing a process skeleton, consisting of the most important recurring activities of the process, through a workflow engine. This skeleton should be kept simple. The corresponding workflow is complemented by two features: firstly, a task management tool through which workflow tasks are delivered and that give human executors flexibility and freedom to adapt tasks by adding subtasks and resources as required by the context. And secondly, a component that learns business rules from the log files of this task management and that will predict subtasks and resources on the basis of knowledge from previous executions. We present supervised and unsupervised approaches for rule learning and evaluate both on a real business process with 61 instances. Results are promising, showing that meaningful rules can be learned even from this comparatively small data set.04B - Beitrag Konferenzschrift
- PublikationRefining process models through the analysis of informal work practice(2011) Brander, Simon; Hinkelmann, Knut; Hu, Bo; Martin, Andreas; Riss, Uwe; Thönssen, Barbara; Witschel, Hans FriedrichThe work presented in this paper explores the potential of leveraging the traces of informal work and collaboration in order to improve business processes over time. As process executions often differ from the original design due to individual preferences, skills or competencies and exceptions, we propose methods to analyse personal preferences of work, such as email communication and personal task execution in a task management application. Outcome of these methods is the detection of internal substructures (subtasks or branches) of activities on the one hand and the recommendation of resources to be used in activities on the other hand, leading to the improvement of business process models. Our first results show that even though human intervention is still required to operationalise these insights it is indeed possible to derive interesting and new insights about business processes from traces of informal work and infer suggestions for process model changes.04B - Beitrag Konferenzschrift
- PublikationAn Intelligent System for Semi-Automatic Evolution of Ontologies(2010) Ramezani, Maryam; Witschel, Hans Friedrich [in: IEEE Conference on Intelligent Systems, 2010]04B - Beitrag Konferenzschrift