Solutions and Technologies for Responsible Digitalization

This book is the second volume of proceedings from the 18th International Conference on Wirtschaftsinformatik held in Paderborn, Germany, in 2023.

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 digital innovation, business analytics, artificial intelligence, and IT strategy, each of which has and will continue to have significant impacts on companies, individuals and societies alike.

Offers concepts for the implementation of digital responsibility Presents innovative solutions and technologies for responsible digitalization Provides guidelines for transforming the digitally sustainable enterprize

Autorentext

Daniel Beverungen is Professor of Information Systems and Enterprise Systems at Paderborn University, Germany. His research interests include service research, business process management, and the design of innovative information systems.

Christiane Lehrer is Associate Professor at the Department of Digitalization at Copenhagen Business School, Denmark. Her research interests include data-driven innovation, user behavior, and sustainable information systems.

Matthias Trier is Professor of Information Systems and Social Computing at the University of Paderborn, Germany and a Visiting Professor at Copenhagen Business School, Denmark. His research interests include digital social user behavior such as the appropriation of social media and collaboration platforms in companies' digital participation, the influence of electronic discourse, cooperation in virtual reality, and event-driven dynamic network analysis.

Inhalt

Requirements for a Federated Learning System to strengthen IT Security in Human Resource Management.- Implementing Smart Contracts: The case of NFT-rental with pay-per-like.- Revealing Hidden Self-financed Wash Trading in Non-Fungible-Token Markets.- DataOps as a Prerequisite for the Next Level of Self-Service Analytics Balancing User Agency and Central Control.