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dr. S.A. de Vries (Sjoerd)

Universitair docent

Over mij

Sjoerd de vries is als universitair docent verbonden aan de Universiteit Twente. Hij onderzoekt digitale transformaties vooral in het onderwijs en in de publieke sector. Hij heeft verder onderzoek en onderwijs in digitale en 'data-driven' media, met name het gebruik ervan in digitale marketing en corporate communicatie. Als programmamanager is hij verantwoordelijk voor verschillende Europese hoger onderwijs transformatietrajecten binnen het Europees Instituut voor Innovatie en Technologie (EIT Digital), met als centrale vraag: wat is hoger onderwijs in 2015? .  

Expertises

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

Publicaties

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.

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Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Cubicus (gebouwnr. 41), kamer C220
De Zul 10
7522NJ  Enschede

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Postadres

Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Cubicus  C220
Postbus 217
7500 AE Enschede