Dr. G.C. (Guido) van Capelleveen
Assistant Professor
Faculteit Economie en Bedrijfskunde
Sectie Business Analytics
Bezoekadres
- Plantage Muidergracht 12
- Kamernummer: M.11
Postadres
-
Postbus 15953
1001 NL Amsterdam
Contactgegevens
-
About Guido
Dr. ir. Guido van Capelleveen is appointed as an assistant professor at the Amsterdam Business School. He developed a business and academic background in information systems & technology, specialized in business analytics and data mining. Guido is particularly interested in the application fields of data science in real-world projects. Many of his projects have a focus on circularity and sustainability.
Guido holds a PhD in Environmental Informatics from the University of Twente. His PhD thesis was written on “industrial symbiosis recommender systems” (download) part of the European H2020 program related to the circular economy transition. His MSc thesis research was performed at the University of California, San Diego, where he researched the application of outlier-based predictors for Health Insurance Fraud Detection in the U.S. Medicaid program. He also worked as an information analyst on management information systems for one of the larger Dutch software organizations.
My Personal Website. My Google Scholar page. My ResearchGate page. -
Publicaties
2024
- Bladt, D., van Capelleveen, G., & Yazan, D. M. (2024). The influence of greenwashing practices on brand attitude: A multidimensional consumer analysis in Germany. Business Strategy and the Environment, 33(2), 597-625. https://doi.org/10.1002/bse.3496
2023
Hoheisel, R., van Capelleveen, G., Sarmah, D. K., & Junger, M. (2023). The development of phishing during the COVID-19 pandemic: An analysis of over 1100 targeted domains. Computers & Security, 128, Article 103158. https://doi.org/10.1016/j.cose.2023.103158 [details]- van Capelleveen, G., Vegter, D., Olthaar, M., & van Hillegersberg, J. (2023). The anatomy of a passport for the circular economy: a conceptual definition, vision and structured literature review. Resources, Conservation & Recycling Advances, 17, Article 200131. https://doi.org/10.1016/j.rcradv.2023.200131 [details]
2022
- Yazan, D. M., van Capelleveen, G., & Fraccascia, L. (2022). Decision-Support Tools for Smart Transition to Circular Economy. In T. Bondarouk, & M. R. Olivas-Luján (Eds.), Smart Industry – Better Management (pp. 151-169). (Advanced Series in Management; Vol. 28). Emerald Publishing. https://doi.org/10.1108/S1877-636120220000028010 [details]
2021
- Fraccascia, L., Yazdanpanah, V., van Capelleveen, G., & Yazan, D. M. (2021). Energy-based industrial symbiosis: a literature review for circular energy transition. Environment, Development and Sustainability, 23(4), 4791-4825. https://doi.org/10.1007/s10668-020-00840-9
- van Capelleveen, G., Amrit, C., Zijm, H., Yazan, D. M., & Abdi, A. (2021). Toward building recommender systems for the circular economy: Exploring the perils of the European Waste Catalogue. Journal of Environmental Management, 277, Article 111430. https://doi.org/10.1016/j.jenvman.2020.111430 [details]
- van Capelleveen, G., van Wieren, J., Amrit, C., Yazan, D. M., & Zijm, H. (2021). Exploring recommendations for circular supply chain management through interactive visualisation. Decision support systems, 140, Article 113431. https://doi.org/10.1016/j.dss.2020.113431 [details]
2020
- Massey, T., Amrit, C., & van Capelleveen, G. (2020). Analysing the trend of Islamophobia in Blog Communities using Machine Learning and Trend Analysis. In Proceedings of the 28th European Conference on Information Systems (ECIS) Article 188 AIS eLibrary. https://aisel.aisnet.org/ecis2020_rp/188 [details]
2019
- Fraccascia, L., Yazdanpanah, V., Van Capelleveen, G., & Yazan, D. M. (2019). A framework for industrial symbiosis systems for agent-based simulation. In J. Becker, & D. Novikov (Eds.), Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019 (pp. 419-428). Article 8808068 (Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBI.2019.00055
- Genc, O., van Capelleveen, G., Erdis, E., Yildiz, O., & Yazan, D. M. (2019). A socio-ecological approach to improve industrial zones towards eco-industrial parks. Journal of Environmental Management, 250, Article 109507. https://doi.org/10.1016/j.jenvman.2019.109507
- van Capelleveen, G., Amrit, C., Yazan, D. M., & Zijm, H. (2019). The recommender canvas: A model for developing and documenting recommender system design. Expert Systems With Applications, 129, 97-117. https://doi.org/10.1016/j.eswa.2019.04.001 [details]
2018
- van Capelleveen, G., Amrit, C., & Yazan, D. M. (2018). A Literature Survey of Information Systems Facilitating the Identification of Industrial Symbiosis. In B. Otjacques, P. Hitzelberger, S. Naumann, & V. Wohlgemuth (Eds.), From Science to Society: New Trends in Environmental Informatics (pp. 155-169). (Progress in IS). Springer. Advance online publication. https://doi.org/10.1007/978-3-319-65687-8_14
- van Capelleveen, G., Amrit, C., Yazan, D. M., & Zijm, H. (2018). The Influence of Knowledge in the Design of a Recommender System to Facilitate Industrial Symbiosis Markets. Environmental Modelling & Software, 110, 139-152. https://doi.org/10.1016/j.envsoft.2018.04.004
- van Capelleveen, G., Pohl, J., Fritsch, A., & Schien, D. (2018). The Footprint of Things: A hybrid approach towards the collection, storage and distribution of life cycle inventory data. In ICT4S2018. 5th International Conference on Information and Communication Technology for Sustainability (Vol. 52, pp. 350-364). (EPiC series in computing). EasyChair. https://doi.org/10.29007/8pnj
2017
- Fraccascia, L., van Capelleveen, G. C., Yazdanpanah, V., & Yazan, D. M. (2017). Resource inventory for fostering industrial symbiosis practices. In V. Fantin, & E. Mancuso (Eds.), Methods and tools for the implementation of industrial symbiosis (pp. 51-52). ENEA. https://www.researchgate.net/publication/321183778_Resource_inventory_for_fostering_industrial_symbiosis_practices
2016
- van Capelleveen, G., Poel, M., Mueller, R. M., Thornton, D., & van Hillegersberg, J. (2016). Outlier detection in healthcare fraud: A case study in the Medicaid dental domain. International Journal of Accounting Information Systems, 21, 18-31. https://doi.org/10.1016/j.accinf.2016.04.001
2014
- Thornton, D., van Capelleveen, G., Poel, M., van Hillegersberg, J., & Mueller, R. (2014). Outlier-based Health Insurance Fraud Detection for U.S. Medicaid Data. In Proceedings of the 16th International Conference on Enterprise Information Systems (ICEIS 2014) (pp. 684-694). SciTePress. https://doi.org/10.5220/0004986106840694
2013
- Jansen, S., & van Capelleveen, G. (2013). Quality review and approval methods for extensions in software ecosystems. In S. Jansen, S. Brinkkemper, & M. Cusumano (Eds.), Software Ecosystems: Analyzing and Managing Business Networks in the Software Industry (pp. 187-217). Edward Elgar Publishing Ltd. https://doi.org/10.4337/9781781955635.00018
2020
- van Capelleveen, G. C. (2020). Industrial Symbiosis Recommender Systems. [Thesis, fully external, University of Twente]. Universiteit Twente. https://doi.org/10.3990/1.9789036550079
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list. -
Nevenwerkzaamheden
Geen nevenwerkzaamheden
Hoheisel, R., van Capelleveen, G., Sarmah, D. K., & Junger, M. (2023). The development of phishing during the COVID-19 pandemic: An analysis of over 1100 targeted domains. Computers & Security, 128, Article 103158.