About
Nadia Steils is a Lecturer in the Business Administration Department at the Faculty of Economics, Management and Social Sciences, University of Namur (Belgium), with concurrent research affiliation at IAE Lille, University of Lille (France). Her academic home spans CeRCLe, LEM, and CCMS research centers, focusing on the intersection of consumer behavior and digital technologies.
Education:
- PhD in Management Sciences - Marketing (University of Namur & IAE Lille, 2016)
- Master in Audit, Control, Research and Modeling in Marketing (IAE Lille, 2012)
- Bachelor in Applied Communications (IHECS Brussels, 2010)
Her research centers on consumer e-learning processes, examining how digital interfaces shape knowledge acquisition and purchasing decisions. Specializing in consumer behavior in technology-mediated environments, she investigates the psychological mechanisms behind online learning adoption, gamification effects, and AI-driven service interactions. Recent work critically analyzes transparency paradoxes in influencer marketing and ethical dimensions of explainable AI systems, contributing directly to UN Sustainable Development Goals through consumer education frameworks.
Analysis of her 16 research outputs (2013-2025) reveals evolving expertise from foundational e-learning studies toward contemporary AI/consumer behavior intersections. Current publications emphasize human-centric technology design, with strong focus on trust calibration in AI services and ethical implications of algorithmic manipulation.
Research Leadership:
- Principal Investigator for Nestlé-funded social food trends project (2017-2018)
- Lead researcher on Creative Crowdsourcing knowledge-transfer initiative
- Key contributor to EU cultural experience knowledge-project
Her 24 supervised student projects demonstrate active mentorship in consumer research methodology. Elected to departmental councils at both University of Namur and University of Lille, she shapes academic governance while maintaining rigorous teaching commitments across market research, marketing management, and database systems coursework.
