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dr. S.A. de Vries (Sjoerd)

Assistant Professor

About Me

Dr. Sjoerd de Vries is assistant professor at the University of Twente, Enschede, the Netherlands. His research is in the field of digital transformations mainly in education and the public sector. He is highly involved in research and teaching in digital media, particular digital marketing and digital corporate communications. He is specifically interested in ‘data-driven developments’. As project leader, he runs R&D projects in data-driven governance and data-driven marketing. As program manager, he is responsible for higher education transformation activities in the European Institute of Innovation and Technology (EIT Digital). 

Expertise

Social Sciences
Education
Social Media
Business & Economics
Promotional Strategy
Retailing
Smart Product
Social Media
Engineering & Materials Science
Education
Marketing

Publications

Recent
Schrotenboer, D. , Constantinides, E. , Herrando, C. , & de Vries, S. A. (2022). The Effects of Omni-Channel Retailing on Promotional Strategy. Journal of theoretical and applied electronic commerce research, 17(2), 360-374. https://doi.org/10.3390/jtaer17020019
Schrotenboer, D. W. , Constantinides, E. , de Vries, S. A. , & Herrando, C. (2021). The Effects of Omni-Channel Retailing on Promotional Strategy. Paper presented at 20th Internatonal Marketing Trends Conference, Venice, Italy.
Yu, X. , Constantinides, E. , Herrando, C. , & de Vries, S. A. (2021). The impact of artificial intelligence application on customer engagement. Paper presented at 20th International Marketing Trends Conference 2021, Venice, Italy.
Marinescu-Muster, R. F. , de Vries, S. A. , & Vollenbroek, W. (2021). Data-Driven Intelligent Tutoring System for Accelerating Practical Skills Development: A Deep Learning Approach. In O. Mealha, M. Rehm, & T. Rebedea (Eds.), Ludic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education: Proceedings of the 5th International Conference on Smart Learning Ecosystems and Regional Development (pp. 197-209). (Smart Innovation, Systems and Technologies, SIST; Vol. 197). Springer. https://doi.org/10.1007/978-981-15-7383-5
Reitsma, A. , Spil, T. , & De Vries, S. (2019). Using laddering to understand the use of gamified wearables by seniors. In L. Maciaszek, L. Maciaszek, & M. Ziefle (Eds.), ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health (pp. 92-103). SCITEPRESS. https://doi.org/10.5220/0007708600920103
Kuiper, E. , Constantinides, E. , & de Vries, S. A. (2019). Two-Stage Clustering Approaches for Customer Profiling: A Practical Framework. Paper presented at 27th Annual High Technology Small Firms Conference, HTSF 2019, Enschede, Netherlands.
Kuiper, E. , Constantinides, E. , de Vries, S. A. , Marinescu-Muster, R. F., & Metzner, F. (2019). A Framework of Unsupervised Machine Learning Algorithms for User Profiling. Paper presented at 48th Annual European Marketing Academy (EMAC) Conference, Hamburg, Hamburg, Germany.

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Cubicus (building no. 41), room C220
De Zul 10
7522NJ  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Cubicus  C220
P.O. Box 217
7500 AE Enschede
The Netherlands