Professor Dr. Eskil Andersen

Biography

Eskil Olav Andersen is a Postdoctoral Researcher specializing in the utilization of Large Language Models (LLMs) and Generative AI applications within business contexts. His research incorporates computational methods and qualitative mixed-methods analysis. His central focus is on bridging traditional qualitative research methods with advanced computational approaches, particularly emphasizing agentic systems in generative AI. His doctoral research, titled 'Innovative Interactions: Examining Stakeholder Roles in Procurement of Digital Learning Technologies in Danish Higher Education,' delves into the dynamics of digital innovation and procurement within public institutions, laying a foundation for understanding the complex stakeholder relationships involved in digital transformation processes. His current research interests range from the implementation and impact of generative AI in business settings, the development of computational methods for qualitative data analysis, to the adoption processes related to digital innovation procurement. He also applies quantitative methods in business research, leveraging his expertise in Python to enhance organizational decision-making and to teach students practical applications that develop robust analytical skills in programming.

Research Interests

Experience