Results of our research

The results of our research are practical and make an impact. For SMEs and students as well as employees in the region. We develop data-driven solutions and digitalisation strategies that increase efficiency and reduce costs. Our collaboration with companies and educational institutions strengthens digital skills and promotes sustainable growth and innovation. This is how we help improve business processes and contribute to the economic development of the region.

Our ready-to-market research results include innovative products. These solutions support both education and business in digital transformation and growth. 

A flexible and secure cloud data management solution that helps organisations efficiently store, manage, and share their data. This solution supports advanced data analytics and offers training modules, ideal for both education and business. This solution is designed to facilitate digital transformation and provides a scalable IT infrastructure.

Data-driven dashboards that provide real-time insights and predictive models for better decision-making. These dashboards visualise and analyse complex data, allowing businesses to respond quickly and accurately to changes and proactively intervene in the event of potential problems.

A personalised, demand-driven AI tool that helps companies solve specific business issues. iDAPT uses advanced data analytics and predictive modelling, and uses crawlers to continuously update databases and provide strategic insights and recommendations.

Tailor-made training programmes that help employees to develop the necessary digital skills, with a special focus on AI and data analytics. These trainings improve competencies and ensure that staff stay up-to-date with the latest technologies and methods.

  • Zuidema-Tempel, E., Bukhsh, F. A., Effing, R., & van Hillegersberg, J. (2023). Process Mining and Perceived Privacy Violations: A Pilot-Study. ICEIS, volume 2, pp. 289-296.
  • Caniëls, M.C.J., Hatak, I., Kuijpers, K.J.C. & de Weerd-Nederhof, P.C. (2022). Trait resilience and resilient behavior at work: The mediating role of the learning climate. Acta Psychologica, volume 228, 103654. Elsevier, https://doi.org/10.1016/j.actpsy.2022.103654
  • Caniëls, M.C.J., Hatak, I., Kuijpers, K.J.C. & de Weerd-Nederhof, P.C. (2022). Trait resilience instigates innovative behaviour at work? Across-lagged study. Creativity and Innovation Management, volume 31, issue 2, pp 274-293. Wiley, https://doi.org/10.1111/caim.12486
  • Zuidema-Tempel, E., Effing, R., & van Hillegersberg, J. (2022). Bridging the Gap Between Process Mining Methodologies and Process Mining Practices. In: Di Ciccio, C., Dijkman, R., del Río Ortega, A., Rinderle-Ma, S. (eds), Business Process Management Forum. BPM 2022. Lecture Notes in Business Information Processing, volume 458, pp. 70-86. Springer, Cham, https://doi.org/10.1007/978-3-031-16171-1_5
  • Effing, R., Brouwer, R.J., Iliev, A., Teunissen, T. & Wijnhoven, F. (2020). Where to go? Smart guidance based on IOT sensor-data. In: Kommers, P. (Eds.), Proceedings of the IADIS International Conference Connected Smart Cities 2020. Connected as part of the Multi Conference on Computer Science and Information Systems MCCSIS2020, pp. 117-128, http://www.iadisportal.org/ict-csc-wbc-2020-proceedings
  • Groothuis, D., Spil, T.A.M. & Effing, R. (2020). Facebook Marketing Intelligence. Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020, https://scholarspace.manoa.hawaii.edu/bitstream/10125/64054/1/0252.pdf