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Wolfgang Kratsch

Wolfgang Kratsch
University of Bayreuth · FIM Research Center Finance & Information Management, Project Group Business & Information Systems Engineering of the Fraunhofer FIT

Dr. rer. pol.

About

16
Publications
2,774
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124
Citations

Publications

Publications (16)
Article
Full-text available
Predictive process monitoring aims at forecasting the behavior, performance, and outcomes of business processes at runtime. It helps identify problems before they occur and re-allocate resources before they are wasted. Although deep learning (DL) has yielded breakthroughs, most existing approaches build on classical machine learning (ML) techniques...
Article
Process mining, as with any form of data analysis, relies heavily on the quality of input data to generate accurate and reliable results. A fit-for-purpose event log nearly always requires time-consuming, manual pre-processing to extract events from source data, with data quality dependent on the analyst's domain knowledge and skills. Despite much...
Article
Business process management (BPM) is an essential paradigm of organizational design and a source of corporate performance. The most value-creating activity of BPM is process improvement. With effective process prioritization being a critical success factor for process improvement, we propose the Data-Driven Process Prioritization (D2P2) approach. B...
Conference Paper
Improving business processes is a key success factor for organizations and, at the same time, a major challenge for decision makers. For process improvement to be successful, effective prioritization is essential. Despite the existence of approaches for the prioritization of process improvement projects or business processes, prescriptive research...
Article
Patients living with neurogenic bladder dysfunction can lose the sensation of their bladder filling. To avoid over-distension of the urinary bladder and prevent long-term damage to the urinary tract, the gold standard treatment is clean intermittent catheterization at predefined time intervals. However, the emptying schedule does not consider actua...
Article
Process mining is one of the most active research streams in business process management. In recent years, numerous methods have been proposed for analyzing structured process data. In many cases, however, only the digitized parts of processes are directly captured by process-aware information systems, whereas manual activities often leave blind sp...
Chapter
Situation faced: RAPS is a German spice manufacturer offering various top quality products to customers worldwide. Organized in three business segments, RAPS supplies large companies in the food production sector, caterers and restaurants, and the butcher’s trade and food retail sector. Especially the butchers, one of the most loyal target groups o...
Conference Paper
A fundamental requirement for the successful application of process mining are event logs of high data quality that can be constructed from structured data stored in organizations' core information systems. However, a substantial amount of data is processed outside these core systems, particularly in organizations doing consumer business with many...
Thesis
Full-text available
Business process management (BPM) is an accepted paradigm of organizational design to orchestrate distributed work involving various activities, resources, and actors, connecting the physical and digital world. While traditional research in BPM focused on process models and model-based information systems (e.g., workflow management systems), the fo...
Preprint
Full-text available
Process mining is one of the most active research streams in business process management. In recent years, numerous methods have been proposed for analyzing structured process data. Yet, in many cases, it is only the digitized parts of processes that are directly captured from process-aware information systems, and manual activities often result in...
Chapter
Robotic Process Automation (RPA) is an emerging technology for automating tasks using bots that can mimic human actions on computer systems. Most existing research focuses on the earlier phases of RPA implementations, e.g. the discovery of tasks that are suitable for automation. To detect exceptions and explore opportunities for bot and process red...
Conference Paper
Full-text available
Internet users typically do not read the privacy policies of websites since they are written as complex legal texts and at great length. Recent research addresses this issue by applying Natural Language Processing and Machine Learning approaches in order to strengthen the digital sovereignty of Internet users by extraction of relevant information o...
Conference Paper
Full-text available
Delivering meal orders as fast as possible and the meal itself as hot as possible are the most important factors in the meal delivery process as they drive customer satisfaction. High customer satisfaction leads to loyal customers, implying a higher rate of recurring orders, in return. Existing approaches tackle the meal delivery process by taking...
Article
Die Finanzorganisation von Infineon will sich vom Data Provider zum Business Advisor entwickeln. Ein treiberbasierter Forecast ist ein Instrument, um den Controller in der Routinearbeit zu entlasten. Der Top-Level Ergebnisforecast wird weitgehend ohne manuelle Planung erstellt und bietet Simulationsfähigkeit auf Knopfdruck. Die Geschäftstreiber ste...
Article
Full-text available
Predictive process monitoring aims at forecasting the behavior, performance, and outcomes of business processes at runtime. It helps identify problems before they occur and re-allocate resources before they are wasted. Although deep learning (DL) has yielded breakthroughs, most existing approaches build on classical machine learning (ML) techniques...

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Projects

Projects (2)
Project
In this project, we investigate how to deal with interdependent processes and process networks. Although interdependencies among processes are ubiquituous in reality, academia treats processes mostly as isolated. Taking a descriptive perspective, there is plenty of research on business process architectures and process model repositories. However, there are almost no prescriptive insights that support decision-making for interdependent processes and process networks.
Project
Exploring challenges and opportunities concerning the use of artificial intelligence in the context of business process management.