Publications

With our publications we cover the most diverse research areas that arise in the field of man, task and technology. In addition to traditional Business Information Systems topics such as knowledge management and business process management, you will also find articles on current topics such as blended learning, cloud computing or smart grids. Use this overview to get an impression of the range and possibilities of research in Business Information Systems at the University of Duisburg-Essen.

Type of Publication: Article in Collected Edition

Achieving Sustainability with Artificial Intelligence - A Survey of Information Systems Research

Author(s):
Schoormann, Thorsten; Strobel, Gero; Möller, Frederik; Petrik, Dimitri
Editor:
AiS
Title of Anthology:
Proceedings of the 42nd International Conference on Information Systems (ICIS)
Location(s):
Austin, Texas
Publication Date:
2021
Keywords:
Sustainable Development, Artificial Intelligence, Information Systems
Link to complete version:
https://aisel.aisnet.org/icis2021/soc_impact/soc_impact/2
Citation:
Download BibTeX

Abstract

Understanding the role of Artificial Intelligence (AI) is crucial to contribute to sustainable development including the most fundamental challenges of our society, such as climate change, healthy lives, and inclusive economic growth. As Information Systems (IS) research has a great tradition of investigating how technology and methods can be employed to foster sustainability, this study follows widely accepted expectations that AI will boost this. Against this backdrop, the present study aims at revealing how and what purposes IS researchers use AI for sustainability. Based on a literature corpus of 95 articles, promising research in diverse fields has been found that underlines the great potential of IS in achieving economic, ecological, and social sustainability. In doing so, this study complements recent research streams on AI and sustainability from a IS perspective by providing a comprehensive overview of themes, topics, and clusters addressed within IS literature and discussing future avenues for research.