Business Studies

Technology & Innovation

The Business, Technology & Public Policy research group of the Department of Business Sciences at Leiden University focuses on investigating the dynamic interaction between 'new' technologies and various stakeholders, including consumers, employees, and businesses. Our research delves into perceptions, behaviours, and attitudes related to technology and policy. Through our studies, we aim to translate empirical insights into normative implications and policy recommendations. We question to what extent these technologies challenge our prevailing individual and collective ideals and whether traditional legal regulations remain desirable and feasible.

The research interests of the group encompass a broad range of topics, including AI-human interaction, algorithmic personalization and recommendation systems, and the integration of technology within legal professions, strategic management, and business models.

To effectively evaluate the role that legal regulations can play in unlocking the full potential of technology and business, it is crucial to understand the essence of the technology itself. For this reason, our research group maintains close collaborations with external data science and technology experts to ensure that our knowledge remains in a leading position. Additionally, we have a strong partnership with the eLaw Center for Law and Digital Technologies.

Our research group serves as a central knowledge hub for the business practice of Law & Technology. We aim to merge business sciences and technology-specific business expertise with legal insight, translating social science research on technological advancements in business into actionable policy recommendations and regulatory solutions. In doing so, we aspire to bridge the gap between the ever-evolving business-tech landscape and the legal framework, fostering a synergistic interdisciplinary research environment where insights from both domains can flourish.

Publications

Schepers I., Medvedeva M., Bruijn M., Wieling M. & Vols M. (2024), Predicting citations in Dutch case law with natural language processing, Artificial Intelligence and Law :

Binesh, N., Belarmino, A., Van der Rest, J.I., Raab, C., & Singh, A. (online first)(2023). Forecasting Hotel Room Prices When Entering Turbulent Times: A Game-Theoretic Artificial Neural Network Model. International Journal of Contemporary Hospitality Management.
Koupriouchina, L., Van der Rest, J.I., & Schwartz, Z. (online first) (2023). Judgmental Adjustments of Algorithmic Hotel Occupancy Forecasts: Does User Override Frequency Impact Accuracy at Different Time Horizons? Tourism Economics.
Medvedeva, M. & McBride, P. (2023). Legal Judgment Prediction: If You Are Going to Do It, Do It Right. In Proceedings of the Workshops on Natural Legal Language Processing at EMNLP 2023 (upcoming)
McBride, P. & Medvedeva, M. (2023). Casetext’s CoCounsel through the lens of the Typology (Blogpost)
Schepers, I., Medvedeva, M., Bruijn, M., Wieling, M., & Vols, M. (2023). Predicting citations in Dutch case law with natural language processing. Artificial Intelligence and Law, 1-31.
Medvedeva, M., Wieling, M., & Vols, M. (2023). Rethinking the Field of Automatic Prediction of Court Decisions. Artificial Intelligence and Law, 31, 195-212.
Heidary K. & Maathuis E. (2023), Een stokje steken voor staken, Ars Aequi 72(9): 611 (AA20230611).
Heidary K. & Pistora D. (2023), Juicy stories: niet langer alleen de vruchten plukken, Ars Aequi 72(2): 83 (AA20230083).
Groenewoud D. & Heidary K. (2023), Kunst met een kleine letter k: een interview met rechtbanktekenares Renée van den Kerkhof, Ars Aequi 72(7/8): 600-605 (AA20230600).
Groothoff B., Heidary K. & Kouwenberg M. (2023), Van scriptie naar studentartikel: een handreiking, Ars Aequi 72(4): 298-302 (AA20230298).

De Vries, A. & Schipper, J. (2022, 22 July), ‘Alles wat je moet weten over crypto: ‘Er zit rebelsheid achter’ [interview with Jan-Willem Kakebeeke], Leidsch Dagblad.
Rest J.I. van der, Sears A.M., Kuokkanen H. & Heidary K. (2022), Algorithmic pricing in hospitality and tourism: call for research on ethics, consumer backlash and CSR, Journal of Hospitality and Tourism Insights 5(4): 771-781.
Heidary K., Custers B.H.M., Pluut H. & Rest J.I. van der (2022), A qualitative investigation of company perspectives on online price discrimination, Computer Law and Security Review 46: 105734.
Heidary K. (2022), ‘Was/now’ prices: Fake discounts are no longer allowed
Heidary K. (2022), Personalised pricing is happening: Here’s what you need to know
Van Den Hoven, E., Meessen, P., & Medvedeva, M. (2022). Caselaw revisited: Recht.nl’s case law tracker assessed with the Typology of Legal Technologies. (Blogpost)
Diver, L., McBride, P., Medvedeva, M, Banerjee, A., D’hondt, E., Duarte Nicolau, T., Dushi, D., Gori, G., Van Den Hoven, E., Meessen, P., and Hildebrandt, M. (2022). Typology of legal technologies. In Cross-disciplinary Research in Computational Law (CRCL): Computational ’Law’ on Edge 2022
Medvedeva, M. (2022). Identification, Categorisation and Forecasting of Court Decisions. PhD thesis, University of Groninge

Heidary K. & Custers B.H.M. (2021), Online prijsdiscriminatie: algoritmische prijspersonalisatie in het licht van het discriminatieverbod en consumentenbescherming, Nederlands Juristenblad 96(30): 2507-2513 (NJB 2021/2282).
Schwartz, Z., Webb, T.D., Van der Rest, J.I., & Koupriouchina, L. (2021). Enhancing the Accuracy of Revenue Management System Forecasts: The Impact of Machine and Human Learning on the Effectiveness of Hotel Occupancy Forecast Combinations across Multiple Forecasting Horizons. Tourism Economics, 27(2), 273-291.
Medvedeva, M., Dam, T., Wieling, M., Vols, M. (2021). Automatically Identifying Eviction Cases and Outcomes Within Case Law of Dutch Courts of First Instance. In Legal Knowledge and Information Systems (pp. 13-22). IOS Press.
Medvedeva, M., Üstun, A., Xu, X., Vols, M., Wieling, M. (2021). Automatic Judgement Forecasting for Pending Applications of the European Court of Human Rights. In Proceedings of the Workshops on Automated Semantic Analysis of Information in Legal Text (ASAIL 2021)

Heidary K. (2020), E-commerce and consumer data: Is regulation needed?
Vandenbroucke S., Heidary K. (2020), Journey of two novice PhD candidates amidst COVID-19
Van Boom, W.H., Van der Rest, J.I., Van den Bos, C., & Dechesne, M. (2020). Buyers Beware: How the Framing of Mandated Personalized Pricing Disclosure Influences Intention to Purchase. Social Justice Research, 33((3), 331-351.
Van der Rest, J.I., Sears, A.M., Miao, L., & Wang, X.L. (2020). A Note on the Future of Personalized Pricing: Cause for Concern. Journal of Revenue and Pricing Management, 19(2), 113-118.
Medvedeva, M., Xu, X., Wieling, M., & Vols, M (2020). JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights. In Proceedings of JURIX 2020, pages 277 - 280.
Medvedeva, M., Wieling, M., & Vols, M. (2020). The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems. arXiv preprint arXiv:2012.10301.
Medvedeva, M., Vols, M., & Wieling, M. (2020). Using machine learning to predict decisions of the European Court of Human Rights. Artificial Intelligence and Law, 28(2), 237-266.

Oskam, J., Van der Rest, J.I., & Telkamp, B.S.J. (2018). What’s mine is yours – but at what price? Dynamic pricing behavior as an indicator of Airbnb host professionalization.Journal of Pricing & Revenue Management, 17(5), 311-328.
Mironova, D. Y., Muravskii, D. V., Kuznetsova, S. A., Morozova, D. R., Morozova, T. I., & Lai, T. (2018). Exploring forms of academic engagement for MNEs in the Russian IT industry (Part II. University–industry cooperation models, EMC corporation case study). Инновации [Innovations], (8 (238)).
Mironova, D. Y., Muravskii, D. V., Kuznetsova, S. A., Morozova, D. R., Morozova, T. I., & Lai, T. (2018). Exploring forms of academic engagement for MNEs in the Russian IT industry (Part I. Academic engagement and multinational enterprises). Инновации [Innovations], (7 (237)).
Medvedeva, M., Vols, M., and Wieling, M. (2018). Judicial Decisions of the European Court of Human Rights: Looking into the Crystal Ball. InProceedings of the Conference on Empirical Legal Studies in Europe 2018.
Basile, A., Dwyer, G., Medvedeva, M., Rawee, J., Haagsma, H., and Nissim, M. (2018). Simply the Best: Minimalist System Trumps Complex Models in Author Profiling. In International Conference of the Cross-Language Evaluation Forum for European Languages, pages 143–156. Springer.
Kroon, M., Medvedeva, M., and Plank, B. (2018). When Simple N-gram Models Outperform Syntactic Approaches: Discriminating between Dutch and Flemish. In Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018), pages 244–253.

Loosschilder, G., Van der Rest, J.I., Schwartz, Z., Cordella, P., & Sierag, D.D. (2017). From OTA Interface Design to Hotels’ Revenues: The impact of sorting and filtering functionalities on consumer choices. Journal of Revenue and Pricing Management. 16(2), 128-138.
Medvedeva, M., Haagsma, H., and Nissim, M. (2017). An Analysis of Cross-Genre and In-Genre Performance for Author Profiling in Social Media. In International Conference of the Cross-Language Evaluation Forum for European Languages, pages 211–223. Springer. Award: Best Paper Award at CLEF 2017.
Basile, A., Dwyer, G., Medvedeva, M., Rawee, J., Haagsma, H., and Nissim, M. (2017b). N-GrAM: New Groningen Author-Profiling Model. InInternational Conference of the Cross-Language Evaluation Forum for European Languages, CEUR.
Medvedeva, M., Kroon, M., and Plank, B. (2017). When Sparse Traditional Models Out- perform Dense Neural Networks: the Curious Case of Discriminating between Similar Languages. In Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects, pages 156–163. Association for Computational Linguistics.

Van der Rest, J.I., Cordella, P., Loosschilder, G., & Schwartz, Z. (2016). Connecting Search Marketing to Revenue Management: conjoint analysis as a methodology to evaluate the optimal OTA commission fee. Service Science (INFORMS), 8(2), 1-15. Award: Journal Article of the Year.
Busger op Vollenbroek, M., Carlotto, T., Kreutz, T., Medvedeva, M., Pool, C., Bjerva, J., Haagsma, H., and Nissim, M. (2016). GronUP: Groningen User Profiling: Notebook for PAN at CLEF 2016. In Balog, K., Cappellato, L., Ferro, N., and Macdonald, C., editors, Working Notes of CLEF 2016, CEUR, pages 846–857. Workshop Proceedings. Award: PAN Shared Task Winner
Arkhangelskiy, T., & Medvedeva, M. (2016). Developing Morphologically Annotated Corpora for Minority Languages of Russia. In CLiF (pp. 1-6).

Smith, S.J., Parsa, H.G., Bujisic, M., & Van der Rest, J.I. (2015). Hotel Cancelation Policies, Distributive and Procedural Fairness, and Consumer Patronage: A Study of the Lodging Industry, Journal of Travel & Tourism Marketing, 32(7), 886-906.

Van der Rest, J.I., Wang, X.L., & Heo, C. (2014). The Future of Perceived Price Fairness Research in Hospitality. In: Pantelidis, I.S. (ed.), The Routledge Handbook of Hospitality Management (pp. 134-154), Oxford: Routledge.

Van der Rest, J.I., & Roper, A.J. (2013). A Resource-Advantage Perspective on Pricing: shifting the focus from ends to means-end in pricing research?, Journal of Strategic Marketing, 21(6), 484-498.