The emergence of Enterprise Resource Planning systems and Business Process Management have led to improvements in the design, implementation, and overall management of business processes. However, the typical focus of these initiatives has been on internal business operations, assuming a defined...

Die am Lehrstuhl für Wirtschaftsinformatik und Informationsmanagement der Westfälischen Wilhelms-Universität Münster entwickelte Software H2 ist ein Meta-Modellierungswerkzeug, mit dem sich hierarchisch strukturierte Modellierungssprachen definieren und diesen Sprachdefinitionen...

Purpose: Digital transformation has been changing the economic environment of enterprises in recent years. To remain competitive, they rely on an extensible software architecture, flexible workflow execution, and automated decision management. The concepts of service-oriented architectures...

Purpose: Changes in workflow relevant data of business processes at run-time can hinder their completion or impact their profitability as they have been instantiated under different circumstances. The purpose of this paper is to propose a context engine to enhance a business process management...

Business Webs apply the idea of value networks to the WWW. The underlying delivery platform is commonly referred to as the Internet of Services and will certainly have to deal with a great variety and amount of information about services along several service information dimensions. As soon as...

The credibility of sustainability reports has been the subject of scientific research for several years. The problem is often referred to as the so-called credibility gap, which is based on information asymmetries. The situation is further complicated by the limited rationality of human action...

Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of analytical model building and solve associated tasks. Deep...

In any data science and analytics project, the task of mapping a domain-specific problem to an adequate set of data mining methods by experts of the field is a crucial step. However, these experts are not always available and data mining novices may be required to perform the task. While there...