Julia Eisner

Julia Eisner serves as a Research Fellow at the Institute of Marketing within the School of Business at the University of Applied Sciences Wiener Neustadt (FHWN), specifically based at the Wieselburg Campus. Her research is primarily conducted through the Institute for Sustainability and Department of Consumer Science, focusing on cutting-edge intersections between artificial intelligence and marketing applications.

Her primary research interests center on Artificial Intelligence applications in consumer contexts, examining how AI-generated content influences purchasing decisions, consumer trust, and brand perception. Additional research areas include sustainable marketing practices, energy community development, and the psychological aspects of consumer decision-making processes. Her work frequently investigates the tension between technological efficiency and ethical considerations in marketing communications.

Analysis of Eisner's recent publications reveals a strong trend toward understanding consumer responses to AI-generated marketing content, particularly how labeling of AI-created product descriptions affects purchase intentions. Her research spans multiple contexts including e-commerce platforms, sustainable product marketing, and youth consumer behavior, consistently applying social science methodologies to technology-driven marketing scenarios.

Eisner actively contributes to academic and public discourse through numerous speaking engagements, with 18 recorded activities between 2023-2025 including invited lectures on AI ethics, social impacts of artificial intelligence, and sustainability considerations in technology. Her research has been supported through the NETSE project (2021-2024), which investigated energy community communication interfaces and organizational structures.

Her laboratory and team affiliations include the Institute for Sustainability and Department of Consumer Science at FHWN's Wieselburg Campus, where she collaborates with researchers from multiple disciplines to examine photovoltaic integration, battery storage systems, and electric charging infrastructure within community energy frameworks. Current work appears focused on expanding AI literacy initiatives within academic settings.