2023
Belo, R., Cao, Z. (accepted). "Effects of Explicit Sponsorship Disclosure on User Engagement in Social Media Influencer Marketing." MIS Quarterly.
Frick, T., Belo, R., Telang, R. (March 2023). "Incentive Misalignments in Programmatic Advertising: Evidence from a Randomized Field Experiment." Management Science.
Fynn Oldenburg, Qiwei Han, Maximilian Kaiser (February 2023). "Forecasting Budget-Dependent CPCs: Learn From Your Competitors." AAAI 2023 AI for Web Advertising Workshop, Washington DC.
Gambetti, A., Han, Q. (December 2023). "Dissecting AI-Generated Fake Reviews: Detection and Analysis of GPT-Based Restaurant Reviews on Social Media." International Conference on Information Systems (ICIS), Hyderabad, India.
Gambetti, A., Han, Q. (July 2023). "AI Crowdturfing on Yelp: Identifying Patterns in Machine-Generated Fake Reviews." The 9th International Conference for Computational Social Science (IC2S2), Copenhagen.
Han, Q., Lucas, C., Aguiar, E., Macedo, P., Wu, Z. Z. (2023). "Towards Privacy-Preserving Digital Marketing: An Integrated Framework for User Modeling using Deep Learning on a Data Monetization Platform." Electronic Commerce Research, 23(7), 1701–1730.
Laghaie, A., Otter, T. (2023). "Measuring evidence for mediation in the presence of measurement error." Journal Of Marketing Research.
Seifert, M., Ulu, C., & Guha, S. (2023). "Decision making under impending regime shifts." Management Science. https://doi.org/10.1287/mnsc.2022.4661.
Sunniva Hermann, Qiwei Han (August 2023). "Estimating Global Bilateral Music Flows in the Streaming Age: The Role of Distance Measures." 2023 Annual Meeting of Academy of Management (AoM), Boston.
Wan, C., Zejnilović, L., Lavado, S. (2023). "How differential robustness creates disparate impact: A European case study." CEUR Workshop Proceedings, 3442.
Wan, C., Belo, R., Zejnilović, L., Lavado, S. (Oct 2023). "The duet of representations and how explanations exacerbate it." Explainable Artificial Intelligence - 1st World Conference, xAI 2023, Proceedings. Springer Science and Business Media Deutschland GmbH.
Zejnilović, L., Oliveira P., Coelho da Silva, R. (2023). "Toolkits for safe mass AI-assisted innovation by citizens." 10th INTERNATIONAL CONFERENCE ON BUSINESS SERVITIZATION, Barcelona.
2022
Belo, R., Li, T. (2022). Social Referral Programs for Freemium Platforms. Management Science.
Coelho da Silva, R., Zejnilovic, L., Cunha., M. P., Oliveira, P., (2022). The improvisation-bricolage nexus: How ad hoc communities combine fast response and available resources to quickly develop projects in times of scarcity.
Coelho da Silva, R., Zejnilovic, L., Oliveira, P., (2022). Searching for user innovators and user innovations: A review of currently used methods and future opportunities.
Costa, B.F., Ηan, Q., Santos, C.D.(2022). Ρredictive counterfactual using machine learning: the case of Αirbnb and the CΟVΙD-19 pandemic, Εighteenth Symposium on Statistical Challenges in Εlectronic Commerce Research (SCΕCR).
Duarte, R., Ηan, Q., Soares, C. (2022). Dissecting Μedical Referral Μechanisms in Ηealth Service using Graph Νeural Νetworks.
Frick, T., Crisostomo Pereira Belo, R., & Telang, R. (2022). Incentive Misalignments in Programmatic Advertising: Evidence from a Randomized Field Experiment. Management Science.
Gambetti, A., Han, Q., (June 2022). Camera Eats First: Exploring Food Aesthetics Portrayed on Social Media using Deep Learning, International Journal of Contemporary Hospitality Management, Emerald Publishing.
Lavado, S., Zejnilovic, L., Mateus, M., (2022). “The Performance-Actionability Trade-Off in Retention Prediction at Middle School,” 21st IEEE International Conference of Machine Learning and Applications.
Lucas, C., Αguiar, E., Μacedo, P., Wu, Z.Z.,Ηan, Q. (2022). Ρrivacy-preserving user modeling for digital marketing campaigns: the case of a data monetization platform, Τhird International Conference on Αdvances in Digital Μarketing and eCommerce, Βarcelona, Μadrid, June 2022.
Oliveira, P., Cennamo, C., Zejnilovic L., (2022). “Unlocking Innovation in Healthcare: The Case of the Patient Innovation Platform,” California Management Review 6(4).
Ρeito, J., Ηan, Q. (2022). Ιncorporating Domain Κnowledge into Ηealth Recommender Systems using Ηyper-bolic Εmbeddings. Τhe 9th Ιnternational Conference on Complex Νetworks and their Αpplications.
Zejnilovic L., Campos P. (2022) "Project-based learning with a social impact: how data movements are making an impact on the society and the academic education”, in J. Ridgway (ed.). Statistics for Empowerment and Social Engagement – teaching Civic Statistics to develop informed citizens. Springer.
2021
Belo, R, Ferreira, P (2021). Free Riding in Products with Positive Network Externalities: Empirical Evidence from a Large Mobile Network. MIS Quarterly: Management Information Systems.
Ferreira, E., Han, Q., Silva, B. (2021). A Data-Driven Approach for Selecting Accounts in B2B Marketing. 22nd International Conference on Electronic Commerce (ICEC), Virtual, June 2021. Best Paper Award Runner-up.
Franco, Sofia F. & Santos, Carlos Daniel (2021). The impact of Airbnb on residential property values and rents: Evidence from Portugal, Regional Science and Urban Economics.
Gardete, P. M., & Guo, L. (2021). Prepurchase information acquisition and credible advertising. Management Science, 67(3), 1696-1717.
Han, Q., Abreu Novais, M., Zejnilovic, L. (2021). Toward travel pattern aware tourism region planning: a big data approach, International Journal of Contemporary Hospitality Management, Emerald Publishing.
Wan, C., Belo, R., Zejnilovic, L., (November 2021). “Explainability's Gain is Optimality's Loss? - An Empirical Study”, CODE@MIT, Poster Session.
Würfel, M., Han, Q., Kaiser, M. (2021). Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach. 2021 IEEE International Conference on Big Data (Big Data), Virtual, December 2021.
Zhang, X.; Ferreira, P. A.; De Matos, M. G.; Belo, R. (2021). Welfare properties of profit maximizing recommender systems: Theory and results from a randomized experiment. MIS Quarterly: Management Information Systems, 45 (1), 1-28.
Ji, R., Han, Q. (2021). Stocks in Tweets Today: Exploring Heterogeneous Investor Sentiment on Social Media. ACM Collective Intelligence Conference (CI), Copenhagen, Denmark, June 2021.
S. Guha, P. Landgraf (2021). Sustainable data management. Chapter: Handbook of Sustainability-Driven Business Strategies in Practice.
Zejnilovic, L., Silva, R.C:, Oliveira, P. (2021). How many needles in a haystack? The search for user innovations in manual and algorithmic-augmented system.
Zejnilovic L., Lavado, S., Soares C., Troya I. M. R., Bell A., Ghani R., (2021). “Explainable algorithms and human decision-making: a field-intervention in a public employment service” Academy of Management Annual Meeting, Best Papers Proceeding.
2020
Brás-Geraldes, C., Papoila, A., & Xufre, P. (2020). Odds ratio function estimation using a generalized additive neural network. Neural Computing and Application 32, 3459–3474.
Zejnilovic, L., Lavado, S., Martinez, I., Sim, S., & Bell, A. L. (2020). Algorithmic long-term unemployment risk assessment in use: counselors’ perceptions and use and practices. Global Perspectives, 1(1), [12908].
2019
Coelho da Silva, R., Zejnilovic, L. & Marinho, Z. (2019). Machine Learning as a Catalyst of a Paradigm Shift in Healthcare: A Case of News Article Listener for Continuous Identification of Patient Innovations. In 2019 17th International Open and User Innovation Conference (OUI).
2018
Han, Q., Ji, M., de Troya, I. M. D. R., Gaur, M., & Zejnilovic, L. (2018). A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. In 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA) (pp. 481-490). IEEE.
Qiwei Han, Inigo Martinez de Rituerto, Mengxin Ji, Manas Gaur, Leid Zejnilovic, Matchmaking between patients and doctors towards a trusting relationship in primary care, The Sixth IEEE International Conference on Healthcare Informatics (ICHI 2018), New York, 2018.
Troya, I. M. R, Chen, R., Moraes, L. O., Bajaj, P., Kupersmith, J., Ghani, R., Brás, N., Zejnilovic, L. "Predicting, explaining, and understanding the risk of long-term unemployment", NeurIPS, Montreal, Canada, 2018.