Eleonora's research activities mainly relate to the development of new retail technologies to improve customer solutions, strategies and management, with emphasis on the role of artificial intelligence, emotional analytics, and machine learning algorithms. Her findings appear in several books and textbooks, and in international peer-reviewed journals (i.e., Journal of Service Research, Annals of Tourism Research, British Journal of Management). Furthermore, the worldwide relevance of Eleonora’s research has been further highlighted by the World Health Organisation, which included many of her papers in the COVID-19 Global literature on coronavirus disease database.

Specific areas of research are:

• technological solutions for better consumer experience and retail management, with emphasis on AI applications (including positive and negative effects) and human VS AI creativity
• emotional analytics and machine learning algorithms (including predictive models) to improve retail analytics, strategies and theories, as well as to understand brands dynamics in social media

PhD students are more than welcome in the above mentioned areas.