http://dl.gi.de/handle/20.500.12116/20087 2026-07-23T09:10:25Z 2026-07-23T09:10:25Z Reichstein, Christopher Sandkuhl, Kurt Härting, Ralf-Christian http://dl.gi.de/handle/20.500.12116/33221 2020-06-15T09:01:25Z 2019-01-01T00:00:00Z

How companies can benefit from Enterprise Architecture Management in the Digital Transformation Process – An Extended Research Model Reichstein, Christopher; Sandkuhl, Kurt; Härting, Ralf-Christian A successful digital transformation in enterprises requires surpassing infrastructural flexibility within firms and a high level of IT competence in order to meet changing business requirements. Digital enterprises face the challenge of combining business and IT to benefit from existing technological achievements in the digital age. Previous studies have shown that there are critical factors that influence the benefits of Enterprise Architecture Management (EAM). However, factors influencing the digital transformation have not been considered yet. An alternative and iterative research approach develops new success factors for enterprises that benefit from EAM. In this context, this paper builds on a qualitative research approach to examine additional factors and their impact on EAM. The approach is based on an extended structured literature review to build a new empirical research model. In addition, the indicators were validated by three different industrial case studies reflecting the benefit from EAM within the digital transformation process. The results of the extended research models and case study validation show that factors aggregated to the determinants IT Landscapes, Internal Business and EAM Establishment have substantially impact on the benefit of EAM in enterprises. Moreover, the authors found two factors (firm size and external business) in the model moderating & the effects on the benefit from EAM.

2019-01-01T00:00:00Z Sani, Mohammadreza Fani van Zelst, Sebastiaan J van der Aalst, Wil M. P http://dl.gi.de/handle/20.500.12116/33220 2020-06-15T09:01:25Z 2019-01-01T00:00:00Z

Repairing Outlier Behaviour in Event Logs using Contextual Behaviour Sani, Mohammadreza Fani; van Zelst, Sebastiaan J; van der Aalst, Wil M. P It is common in practice, e. g., due to logging errors in information systems or the presence of exeptional process behavior, to have outlier behavior in real event data. Such behavior often leads to incomprehensible, complex, and inaccurate analysis results and makes correct and/or important behavior undetectable. In this paper, we propose a novel data preprocessing method, that detects and subsequently repairs outlier behavior in event data. We propose a probabilistic method that detects outlier behavior based on the occurrence probability of a sequence of activities among its surronding contextual behavior. We replace the outlier behavior with more probable behavior among that behavioral context. Our approach allows to remove outlier behavior, which enables us to obtain a more global view of the process. The proposed method has been implemented in both the prom- and the rapidprom frameworks. Using these implementations, we conducted several experiments that show that most types of outlier behavior in event data are detectable and repairable via the proposed method. The evaluation clearly demonstrates that we are able to improve process discovery results by repairing event logs upfront. Results show that using the proposed method we obtain more understandable process models with higher accuracy.

2019-01-01T00:00:00Z Vogelsang, Kristin Droit, Alena Liere-Netheler, Kirsten http://dl.gi.de/handle/20.500.12116/33219 2020-06-15T09:01:24Z 2019-01-01T00:00:00Z

Designing a Flipped Classroom Course – A Process Model Vogelsang, Kristin; Droit, Alena; Liere-Netheler, Kirsten Digital learning has become more than just a trend in the modern world. Blended learning concepts are well established in different areas of application. An important concept in this domain is the so-called flipped classroom (FC). This approach repurposes class time to focus on application and discussion, while the acquisition of basic knowledge will happen at home, enabled by online lectures. In the past, research demonstrated and discussed the advantages of flipped classroom concepts within case studies. Still, standardized guidelines for the development of flipped classrooms are rare. However, it is necessary to learn from the past to improve future education. Thus, we analyzed reviews on flipped classroom research and used these to inductively develop a reference process model for the realization of flipped classroom concepts. The model is based on phases taken from project management, which help to structure the process and associated tasks. The results present the process model shown in Business Process Model and Notation (BPMN) and applicable checklists for the development of a FC course. The process model was applied and evaluated during the implementation of a flipped classroom at a university. Future research should concentrate on evaluation of the model as well as a deeper elaboration of upcoming roles and their tasks in order to derive further guidance for teachers and organizations.

2019-01-01T00:00:00Z Rehse, Jana-Rebecca Fettke, Peter http://dl.gi.de/handle/20.500.12116/21777 2019-04-11T18:28:15Z 2019-01-01T00:00:00Z

A Procedure Model for Situational Reference Model Mining Rehse, Jana-Rebecca; Fettke, Peter This contribution introduces the concept of Situational Reference Model Mining, i. e., the idea that automatically derived reference models, although derived from identical input data, are intended for different purposes and therefore have to meet different requirements. These requirements determine the reference model character and thus the technique that is best suited for mining it. Situational Reference Model Mining is based on well-known design principles for reference modeling, such as configuration, aggregation, specialization, instantiation, and analogy. We present a procedure model for Situational Reference Model Mining and demonstrate its usefulness by means of a case study. Existing techniques for Reference Model Mining are examined and mapped to their underlying design principles. Our approach provides reference model designers with first guidelines regarding their choice of mining technique and points out research gaps for the development of new approaches to reference model mining.

2019-01-01T00:00:00Z