Adrian Hofmann

Papers

Total Citations

162

H-Index

About

Adrian Hofmann is a researcher specializing in robotic process automation (RPA) and business process management, with a particular focus on the practical implementation and strategic deployment of automation technologies in organizational settings. His work addresses one of the most pressing challenges in digital transformation: helping companies move beyond manual, repetitive tasks toward more value-creating activities. Hofmann's most significant contributions center on developing structured frameworks for RPA implementation. His 2022 paper, "A Framework for Implementing Robotic Process Automation Projects," has garnered 85 citations, while its 2020 predecessor accumulated 40 citations — together establishing him as a leading voice in RPA methodology. A recurring theme across his research is the critical importance of process selection, recognizing that poor decision-making in this phase contributes to the widely cited 80% RPA project failure rate. His 2019 work introduced a quantifiable method for process selection, offering practitioners a more rigorous, data-driven approach to identifying automation candidates. With over 160 total citations across his key publications, Hofmann's research bridges academic theory and real-world application, making his frameworks valuable resources for both scholars and practitioners navigating the complexities of enterprise automation initiatives.