Session Link: https://youtu.be/zMc7J5tLI8k

​

Session Title: What determines sustainable food consumers? Application of a support vector machine model

​​​

Speaker: Prof. Dr. Hannes Antonschmidt, Professor of International Hotel Management, SRH University of Applied Sciences

​​

Session description: While the importance of the big data available within companies is well recognised, there is a lack of academic research on how to effectively utilise this data to contribute to marketing knowledge. This study addresses this gap by analysing large-scale survey data on food choices during package tours distributed using the database of a German travel agency. This study makes two contributions: understanding sustainable food consumption and offering methodological advancements by demonstrating the utility of machine learning (specifically a support vector machine model) in tourism research.
Methodologically, it was demonstrated that a support vector machine model not only allows for the prediction of consumption choices, but also for the identification and analysis of their determinants.

​

Bio: Prof. Dr. Hannes Antonschmidt is Professor of International Hotel Management at SRH University of Applied Sciences (Campus Berlin) and Head of the International Business Administration program.
His research investigates how hospitality and tourism adopt sustainability innovations, with a focus on sustainable food systems and traveler decision-making. His recent publications include articles in Current Issues in Tourism, Highlights of Sustainability, and the Journal of Cleaner Production.
Hannes earned a PhD in Business and Socioeconomic Sciences from MODUL University Vienna with distinction. His work has been recognized with the BEST EN Think Tank Outstanding Paper Award and the AIEST Best PhD Paper Award.