Lili Aunimo

Haaga-Helia University of Applied Sciences

Papers

Total Citations

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About

Lili Aunimo is a leading researcher at the intersection of intelligent automation and small-to-medium enterprise (SME) digitalization. Her primary research areas encompass Robotic Process Automation (RPA), Intelligent Process Automation (IPA), and collaborative networks for technology adoption. Aunimo’s major contribution lies in systematically mapping the evolution of RPA into intelligent automation, identifying both the transformative potential and the persistent challenges—such as scalability and integration with AI—that organizations face. Her highly cited 2023 literature review (44 citations) serves as a foundational resource for scholars and practitioners navigating the shift from rule-based automation to AI-driven decision-making. Additionally, her work on RPA experiments within SME collaborative networks (6 citations) provides actionable insights into how resource-constrained firms can leverage shared expertise to overcome adoption barriers. By bridging theoretical frameworks with practical implementation strategies, Aunimo’s research has significantly advanced understanding of automation’s role in enhancing productivity across diverse organizational contexts. Her findings continue to inform both academic discourse and industry best practices, making her a pivotal voice in the ongoing automation revolution.