Marcus Fischer

Papers

Total Citations

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About

Marcus Fischer is a researcher specializing in Robotic Process Automation (RPA) and intelligent process management, with a particular focus on helping organizations make more effective decisions when implementing automation initiatives. His most significant contribution to the field is his development of quantifiable, data-driven methodologies for process selection in RPA projects — a critical challenge given that research suggests up to 80% of RPA implementations fail due to poor decision-making in the early selection phase. His 2019 paper, "Process Selection in RPA Projects – Towards a Quantifiable Method of Decision Making," has garnered 33 citations, establishing him as a credible voice in addressing why companies struggle to move beyond costly backend integration toward truly value-creating automation strategies. Building on this foundation, his 2021 follow-up work further refined frameworks for identifying and prioritizing automation-ready processes. Fischer's research sits at the intersection of business process management, digital transformation, and enterprise decision-making, making his work highly relevant for practitioners and academics alike who are navigating the complex landscape of automation adoption in modern organizations.