Andreas Schuster

Papers

Total Citations

H-Index

About

Andreas Schuster is a researcher at the intersection of digital transformation and human resource management, with a primary focus on Robotic Process Automation (RPA) in HR contexts. His work examines how automation technologies can streamline administrative HR tasks, enhance operational efficiency, and reshape workforce dynamics. Schuster’s most cited paper, "Robotic Process Automation im Human Resource Management" (2020), has garnered 2 citations and serves as a foundational exploration of RPA’s application in HR, addressing both implementation strategies and potential challenges. While his citation count is modest, his contributions are notable for bridging the gap between technical automation solutions and human-centric HR practices, offering practical insights for organizations navigating digital change. Schuster’s research is particularly relevant for students and practitioners interested in the future of work, as it highlights how automation can augment—rather than replace—human roles in HR. His work underscores the importance of strategic integration of RPA to improve efficiency while maintaining employee engagement, making him a thoughtful voice in the evolving dialogue on technology and human resources.