Her research activities mainly relate to the development of new customer solutions to improve retail analytics, strategies and management, with emphasis on the role of artificial intelligence, emotional analytics, and machine learning algorithms. She held Ph.D. in “Psychology of Programming and Artificial Intelligence” (2008), M.Eng. in Management (2005), and PG Cert in Higher Education Teaching and Supporting Learning (2016). She is also fellow of the Academy of Higher Education. Her findings appear in books and textbooks (i.e., Internet Retailing, Technology and Innovation for Marketing, Smart Retailing: technologies and strategies) and in international peer-reviewed journals (i.e., Computers in Human Behavior, Tourism Management, Journal of Business Research, Psychology and Marketing). Her papers (more than 70) have also consistently pushed the frontiers in the area of marketing and have become highly cited by academics in the field, by frequently achieving the award of “highly commended paper”.

She has always been curios about the world and the phenomena related to human dynamics in retail context, and feels lucky since her passion has become her work!

Specific areas of research are:

• Artificial intelligence, emotional analytics, and machine learning algorithms to improve retail analytics, strategies and theories
• Digital marketing, marketing innovation and smart retailing

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