dr. A.B.J.M. Wijnhoven (Fons)

Associate Professor


Business & Economics
Design Science
Design Theory
Information Services
Knowledge Integration
Knowledge Management
Engineering & Materials Science
Information Services


My research field is on knowledge on the Internet for business purposes. Major topics of research are related to rationality of users of Internet services (e.g. privacy calculus), effective means for business decision makers of extracting reliable knowledge from internet sources (e.g. understanding and adoption of sentiment mining and prediction results for marketing decisions), and the design and implementation of industry 4.0 (e.g. use of cognitive computing in services and manufacturing).


Chandra, D. R. (2023). Governance of Inter-organizational System based Collaboration: supply chain cases. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036556811
Wijnhoven, F., & Van Haren, J. (2021). Search Engine Gender Bias. Frontiers in Big Data, 4, Article 622106. https://doi.org/10.3389/fdata.2021.622106
Wijnhoven, F. (2021). Challenges of Adopting Human-Centered Intelligent Systems: An organizational learning approach. In A. Zimmermann, R. J. Howlett, & L. C. Jain (Eds.), Human Centred Intelligent Systems: Proceedings of KES-HCIS 2020 Conference (pp. 13-25). (Smart Innovation, Systems and Technologies; Vol. 189). Springer. https://doi.org/10.1007/978-981-15-5784-2_2
Lammers, M. , Wijnhoven, F. , Bukhsh, F. A., & De Alencar Silva, P. (2020). Automatic Q.A-Pair Generation for Incident Tickets Handling: An Application of NLP. In K. Djemame, J. Á. Bañares, V. Stankovski, J. Altmann, O. A. Ben-Yehuda, & B. Tuffin (Eds.), Economics of Grids, Clouds, Systems, and Services: 17th International Conference, GECON 2020, Izola, Slovenia, September 15–17, 2020, Revised Selected Papers (pp. 15-27). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12441 LNCS). Springer. https://doi.org/10.1007/978-3-030-63058-4_2
Effing, R., Brouwer, R. J., Iliev, A. , & Wijnhoven, F. (2020). Where To Go? Smart Guidance Based On IoT Sensor-Data. In P. Kommers (Ed.), Connected Smart Cities CSC2020 as part of the Multi Conference on Computer Science and Information Systems MCCSIS2020 (pp. 117-128)
Wijnhoven, F., & Klein Koerkamp, R. (2019). Barriers for Adoption of Analytical CDSS in Healthcare: Insights from Case Stakeholders. Paper presented at 5th International Conference on Information and Communication Technologies in Organizations and Society, ICTO 2019, Lille, France.
Wijnhoven, F., Kluitenberg, F. , & Daneva, M. (2019). Open Source Software Information Triangulation: A design science study. In 28th International Conference on Information Systems Development, ISD 2019

UT Research Information System

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Privacy calculus

Industry 4.0

Health DSS

Contact Details

Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 3313
Hallenweg 17
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  3313
P.O. Box 217
7500 AE Enschede
The Netherlands