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  • Valogianni, K., Ketter, W., Collins, J., & Zhdanov, D. (2020). Sustainable Electric Vehicle Charging using Adaptive Pricing. Production and Operations Management, 29(6), 1550-1572.
  • Topan, E., Eruguz, S., Ma, W., van der Heijden, MC., & Dekker, R. (2020). A review of operational spare parts service logistics in service control towers. European Journal of Operational Research, 282, 401-414.
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  • Pevec, D., Babic, J., Carvalho, A., Ghiassi-Farrokhfal, Y., Ketter, W., & Podobnik, V. (2020). A Survey-Based Assessment of How Existing and Potential Electric Vehicle Owners Perceive Range Anxiety. Journal of Cleaner Production, 276, [122779].
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  • Meškel?, D., & Frasincar, F. (2020). ALDONAr: A Hybrid Solution for Sentence-Level Aspect-Based Sentiment Analysis Using a Lexicalized Domain Ontology and a Regularized Neural Attention Model. Information Processing and Management, 57(3), [102211].
  • Ketter, W., Padmanabhan, B., Pant, G., & Santanam, R. (2020). Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda. Journal of the Association for Information Systems, 21(5), 1115-1127.
  • Kaufmann, J., Kienscherf, PA., & Ketter, W. (2020). Modeling and managing joint price and volumetric risk for volatile electricity portfolios. Energies, 13(14), [3578].
  • Borst, S., Frasincar, F., & Matsiiako, V. (2020). Predicting Individual Behaviour: An empirical Approach in Online Marketing. International Journal of Web Engineering and Technology, 15(3), 283-306.
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  • Lu, Y., Gupta, A., Ketter, W., & Heck, E. (2019). Dynamic Decision Making in Sequential Business-to-Business Auctions: A Structural Econometric Approach. Management Science, 65(8), 3853-3876.
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  • Schouten, K., & Frasincar, F. (2018). Ontology-Driven Sentiment Analysis of Product and Service Aspects. In 15th Extended Semantic Web Conference (ESWC 2018) (pp. 608-623). Springer-Verlag. Lecture Notes in Computer Science Vol. 0302-9743
  • Mulder, J., & Dekker, R. (2018). Optimisation in container liner shipping. In H. Geerlings, B. Kuipers, & R. Zuidwijk (Eds.), Ports and Networks - Strategies, Operations and Perspectives Routledge (Taylor & Francis Group).
  • Hartveld, A., van Keulen, M., van Noort, T., Plaatsman, T., Frasincar, F., & Schouten, K. (2018). An LSH-Based Model-Words-Driven Product Duplicate Detection Method. In 30th International Conference on Advanced Information Systems Engineering (CAiSE 2018) (pp. 149-161). Springer-Verlag. Lecture Vol. 0302-9743
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  • Budel, G., Hoogenboom, L., Kastrop, W., Reniers, N., & Frasincar, F. (2018). Predicting User Flight Preferences in an Airline E-Shop. In 18th International Conference on Web Engineering (ICWE 2018) (pp. 245-260). Springer-Verlag. Lecture Notes in Computer Science Vol. 0302-9743
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  • Topan, E., Tan, T., van Houtum, GJJAN., & Dekker, R. (2018). Using imperfect advance demand information in lost-sales inventory systems with the option of returning inventory. IISE Transactions, 50, 246-264.
  • Peters, M., Saar-Tsechansky, M., Ketter, W., Williamson, S., de Groot, P., & Heskes, T. (2018). A Scalable Preference Model for Autonomous Decision-Making. Machine Learning, 107(6), 1039-1068.
  • Pennings, C., Dalen, J., & Rook, L. (2018). Coordinating judgmental forecasting: coping with intentional biases. Omega, 87, 46-56.
  • Mallidis, I., Iakovou, I., & Dekker, R. (2018). The impact of slow steaming on the carriers’ and shippers’ costs: The case of a global logistics network. Transportation Research. Part E, The Logistics and Transportation Review, 111, 18-39.
  • Li, T., Dalen, J., & Rees, PJ. (2018). More than just noise? Examining the Information Content of Stock Microblogs on Financial Markets. Journal of Information Technology, 33(1), 50-69.
  • Kim, T., Dekker, R., & Heij, C. (2018). Improving warehouse labour efficiency by intentional forecast bias. International Journal of Physical Distribution and Logistics Management, 48(1), 93-110.
  • Ketter, W., Collins, J., Saar-Tsechansky, M., & Marom, O. (2018). Information Systems for a Smart Electricity Grid: Emerging Challenges and Opportunities. ACM Transactions on Management Information Systems, 9(3), 1-22.
  • Kahlen, M., Ketter, W., & Dalen, J. (2018). Electric vehicle virtual power plant dilemma: grid balancing versus customer mobility. Production and Operations Management, 27(11), 2054-2070.
  • Hentschel, M., Ketter, W., & Collins, J. (2018). Renewable Energy Cooperatives: Facilitating the Energy Transition at the Port of Rotterdam. Energy Policy, 121(C), 61-69.
  • Hekimoglu, M., Laan, E., & Dekker, R. (2018). Markov-modulated analysis of a spare parts system with random lead times and disruption risks. European Journal of Operational Research, 269(3), 909-922.
  • Fridgen, G., Kahlen, M., Ketter, W., Rieger, A., & Thimmel, R. (2018). One Rate Does Not Fit All: An Empirical Analysis of Electricity Tariffs for Residential Microgrids. Applied Energy, 210(15 January), 800-814.
  • Duijzer, E., Jaarsveld, W., & Dekker, R. (2018). The benefits of combining early aspecific vaccination with later specific vaccination. European Journal of Operational Research, 271(2), 606-619.
  • de Kok, S., Punt, L., van den Puttelaar, R., Ranta, K., Schouten, K., & Frasincar, F. (2018). Review-Aggregated Aspect-Based Sentiment Analysis with Ontology Features. Progress in Artificial Intelligence, 7(4), 295-306.
  • Brandt, T., Ketter, W., Kolbe, LM., Neumann, D., & Watson, RT. (2018). Smart Cities and Digitized Urban Management. Business & Information Systems Engineering, 60(3), 193-195.
  • Avci Surucu, E., Ketter, W., & Heck, E. (2018). Managing Electricity Price Modeling Risk via Ensemble Forecasting: The Case of Turkey. Energy Policy, 123(December), 390-403.


  • Schouten, K., van der Weijde, O., Frasincar, F., & Dekker, R. (2017). Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis With Co-Occurrence Data. IEEE Transactions on Cybernetics, 48(4), 1263-1275.


  • Duijzer, E., Jaarsveld, van, WL., & Dekker, R. (2016). Literature review - the vaccine supply chain.


  • Duijzer, E., Jaarsveld, W., Wallinga, J., & Dekker, R. (2015). Dose-optimal vaccine allocation over multiple populations. (EI report serie EI2015-29 ed.) Econometric Institute. EI report serie Vol. EI2015-29


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