There are two main things which make returning for Open Programs such a valuable and worthwhile experience. The first is being back on campus – meeting the current students, returning to campus again, the whole experience was just so pleasant. The second is the level of quality in the courses – the faculty teaching are absolute experts.
“Digital Process Management” provides the fundamental knowledge to understand why digitalization is a lever to improve business processes. The course explains fundamentals of process management like process modelling techniques and performance analysis.
Particpants will learn how to model and analyze complex process structures using established modelling and analysis techniques (e.g. performance analysis). The focus will also be on the why we learn these techniques and look at their application in process digitalization initiatives. A comparison of techniques as well as evaluation of their strengths and weaknesses will be discussed and participants learn how process models are translated into IT architectures. From a theoretical standpoint, the advantages and disadvantages of object-orientation being the standard in comparison to subject-orientation as an alternative approach to process modelling will be analyzed Further, the opportunities and challenges of digitalization for process performance will be evaluated using examples and exercises from practice, such as process guidance and process mining. During the class, several “concept-in-practice”-sessions will ensure that the participants will also learn to actively model processes using different tools and techniques that are widely used in practice (e.g. ARIS or MS Visio). The goal for participants is to develop an intuition and fundamental understanding of the potential capacity, the challenges and the boundaries of digitalization in business processes.
This course is offered in the part-time Master of Digital Transformation Management MBA program and may be attended on a “no credit” basis by individuals not enrolled in the program. Course participants are visitors who are not responsible for assignments and do not take an exam or earn academic credits. As the number of seats in the course is limited, we recommend to register online early.
Upon completion of this course, you will:
- Evaluate strengths and weaknesses of different modelling techniques
- Analyze performance in process models
- Apply instruments of process controlling
- Learn about innovative techniques in process digitalization such as process mining
- UML, BPMN, (e)EPC
- Petri nets
- Process life cycle
- Workflow management systems
- Process controlling & process mining
Prof. Dr. Julia Krönung is Professor of Information Systems at the European Business School (EBS). She completed her doctorate at Goethe University on IT acceptance, i.e. why people use Internet-based services and apps as part of their daily routine, as well as the impact of the Internet on business and the public sector. Before joining EBS, Julia was an assistant professor of e-business and e-government at the University of Mannheim. Her research focuses on the implementation of information systems, processes and digital diversity. Julia successfully teaches several modules in the Digital Transformation MBA at GBS.
Course materials will be provided in electronic form.
On Campus Westend of Goethe University Frankfurt and partially online via Zoom.
A GBS certificate of participation is awarded upon completion of the course.
€ 1,900 (fee is exempt from VAT). The fee for GBS students or alumni amounts to € 800.
|Summer Semester 2024|