Oliver Gutermuth

Papers

Total Citations

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About

Oliver Gutermuth is a researcher focused on the intersection of digital transformation and public administration, with a particular emphasis on the application of robotic process automation (RPA) to enhance government IT systems. His most-cited work, "15 RPA for public administration enhancement" (2021), addresses a critical challenge in modern governance: the strain that complex, legacy IT landscapes place on digital transformation efforts. Gutermuth identifies how even advanced modernization initiatives struggle to meet rising demands for integrity, interoperability, and compatibility due to entrenched system dependencies. By exploring RPA as a strategic tool, he offers practical pathways to streamline administrative processes and reduce technical friction. Though his citation count is currently modest—with his top paper garnering 3 citations—his work is gaining traction among scholars and practitioners seeking scalable solutions for public sector digitization. Gutermuth’s contributions are particularly valuable for researchers and policymakers navigating the tension between legacy constraints and the need for agile, interoperable e-government services. His research underscores a pragmatic, stepwise approach to IT modernization, making him a notable voice in the ongoing discourse on digital governance.