Interdisciplinary Directions for Researching the Effects of Robotic Process Automation and Large Language Models on Business Processes

Authors

Jennifer Haase, Humboldt-Universität zu Berlin and Weizenbaum Institute, Berlin, Germany
Waldemar Kremser, Johannes Kepler University Linz, Austria
Henrik Leopold, Kühne Logistics University, Hamburg, Germany and Hasso Plattner Institute, University of Potsdam, Germany
Jan Mendling, Humboldt-Universität zu Berlin and Weizenbaum Institute, Berlin, Germany
Linda Onnasch, Technische Universität Berlin, Germany
Ralf Plattfaut, University of Duisburg-Essen, Germany

Author ORCID Identifier

Jennifer Haase: 0000-0001-8450-7252

Waldemar Kremser: 0000-0002-1607-590X

Henrik Leopold: 0000-0003-4862-1829

Jan Mendling: 0000-0002-7260-524X

Linda Onnasch: 0000-0002-2086-774X

Ralf Plattfaut: 0000-0002-1442-4758

Abstract

Rapid technological advancements, especially in artificial intelligence, robotic process automation, and large language models, have significantly transformed information systems and business processes. These shifts are characterized by the automation of tasks, reshaping traditional human-centric operations, and consequently redefining human roles and experiences. This Panel Report builds on a discussion held at the annual Routines.Research.Community workshop in March 2023 in Berlin, Germany. It integrates diverse disciplinary perspectives to offer a comprehensive understanding of process automation. The panel draws on insights into automation tools such as robotic process automation and large language models, human-automation interaction research, and the study of routine dynamics, all vital for grasping the immediate human responses and longitudinal organizational adaptations due to automation. The report highlights the need for future research to focus on user-centric design for task automation, understanding individual differences in automation effects, exploring long-term psycho­logical impact, and developing adaptive tools and training strategies. It also calls for examining AI integration in routine tasks and RPA tools, its influence on organizational routines and culture, and the dynamics in teams with AI-based members to better understand and enhance human-automation collaboration. This interdisciplinary approach is essential for navigating the challenges and opportunities of the rapidly evolving digital landscape.

DOI

10.17705/1CAIS.05421

Recommended Citation

Haase, J., Kremser, W., Leopold, H., Mendling, J., Onnasch, L., & Plattfaut, R. (2024). Interdisciplinary Directions for Researching the Effects of Robotic Process Automation and Large Language Models on Business Processes. Communications of the Association for Information Systems, 54, 579-604. https://doi.org/10.17705/1CAIS.05421