Artificial Intelligence, Data, and Decision-Making

This book is the first volume of proceedings from the 19th International Conference on Wirtschaftsinformatik held in Würzburg, Germany, in 2024.

In the context of the global trend toward digitalization, it presents the results of innovative, high-quality research in the field of information systems and digital transformation. The book covers a broad range of topics, including business analytics, artificial intelligence, data science and decision making, each of which has and will continue to have significant impacts on companies, individuals and societies alike.

Offers concepts for the implementation of AI-driven decision making Presents innovative solutions and technologies for data-driven analytics Provides guidelines for transforming decision support in practice

Autorentext

Christoph M. Flath is a Professor of Information Systems and Business Analytics at the University of Würzburg, Germany. His research focuses on data-driven decision-making and optimization, with applications in, among others, energy markets, retail management, and industrial systems.

Gunther Gust is a Professor of Information Systems and Enterprise Artificial Intelligence at the University of Würzburg, Germany. His research focuses on the design of AI-driven information systems to support organizations, with a particular emphasis on energy, mobility, and urban domains.

Frédéric Thiesse is a Professor of Information Systems Engineering at the University of Würzburg, Germany. His research focuses on the strategic implications of emerging technologies, business model innovation with IT, and IT-enabled value creation.

Axel Winkelmann is a Professor of Information Systems and Enterprise Systems at the University of Würzburg, Germany. His research interests include the design of Enterprise Information Systems, Business Process Management and Hyperautomation.