Francesc Busquet is a Research Associate at the Institute of Behavioral Science and Technology at the University of St Gallen. His research interest lies at the intersection of data science and behavioral science. He is currently investigating how to leverage textual and vocal consumer-generated content to gain deeper understanding into consumer behavior. He is also the creator and developer of the voiceR package, an R package that simplifies and largely automates practical voice analytics for social science research, which you can download here.
Francesc received his B.Sc. in Economics and B.Sc. in Business Administration from the University of Girona in 2016 and his M.Sc. in Innovation and Research in Informatics, in which he specialized in Machine Learning, from the Polytechnic University of Catalonia in 2018. Prior to IBT, he worked at the University of Girona, in which he organized the first edition of the Postgraduate degree in Big Data Analytics applied to Business and Digital Marketing and lead several industry consultancy projects, primarily in the financial sector.
On the personal side, he is an avid cook, a nature lover, and a passionate reader. Most of his free time he is either hiking a trail in the forest, trying a new recipe, or reading a good book.
Selected Publications
- Busquet, F., Efthymiou, F. and Hildebrand, C., 2023. Voice analytics in the wild: Validity and predictive accuracy of common audio-recording devices. Behavior Research Methods, 1-21.
- Marques, P., Bikfalvi, A., & Busquet, F. (2022). A Family Imprinting Approach to Nurturing Willing Successors: Evidence From Centennial Family Firms. Family Business Review, 35(3), 246-274.
- Zierau, N., Hildebrand, C., Bergner, A., Busquet, F., Schmitt, A., & Marco Leimeister, J. (2022). Voice bots on the frontline: Voice-based interfaces enhance flow-like consumer experiences & boost service outcomes. Journal of the Academy of Marketing Science, 1-20.
- Hildebrand, C., Efthymiou, F., Busquet, F., Hampton, W. H., Hoffman, D. L., & Novak, T. P. (2020). Voice analytics in business research: Conceptual foundations, acoustic feature extraction, and applications. Journal of Business Research, 121, 364-374.
