Publications

2025

Abreu Novais, M., Del Papa, B., Han, Q., Mohan, K., Vásárhelyi, O., Wang, Y., & Zejnilovic, L. (2025). Investigating patterns of tourist movement using multiple data sources. Journal of Vacation Marketing, 0(0). https://doi.org/10.1177/13567667241297706

B. Wen, C. Wang, Q. Han, K. Norel, J. Liu, T. Stappenbeck, & J. Rogers. (2025). Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery. IEEE International Conference on Digital Health (ICDH).

Boh, W. F., Melville, N. P., Baptista, J., Chasin, F., Horita, F., Ixmeier, A., Johnson, S. L., Sarker, S., Ketter, W., Kranz, J., Miranda, S., Nan, N., Pentland, B. T., Recker, J., Sadeghi, S., Sarker, S., Sutanto, J., Wang, P., & Wilopo, W. (2025). Digital resilience for the climate crisis: A multi-perspective analysis. MIS Quarterly. https://doi.org/10.25300/MISQ/2025/18779

Chen, X., Forman, C., & Kummer, M. (2025). Chat more and contribute better: An empirical study of a knowledge-sharing community. Information Systems Research.

Ghiotto, P., Caetano, A., Lawalson, P., & Riboldi, B. (2025). African tourism data ecosystem 2025: An updated review of open data across Africa. Nova School of Business & Economics.

Gross, L., Walter, R., Zoppi, N., Justus, A., Gambetti, A., Han, Q., & Kaiser, M. (2025). Cross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach. 2025 IEEE International Conference on Big Data.

Hahn, A.-S. (2025). Artificial intelligence and human resource management: A systematic review of the literature. Academy of Management Annual Meeting Proceedings, 2025(1), 16664. https://doi.org/10.5465/AMPROC.2025.16664abstract

Han, Q. (2025). Personalized pricing in the age of big data: A technical perspective. In The Cambridge Handbook of Algorithmic Price Personalization and the Law (pp. 88–99). Cambridge University Press.

Lavado, S., Costa, E., Sturm, N. F., Tafferner, J. S., Rodrigues, O., Pita Barros, P., & Zejnilovic, L. (2025). Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal. PLoS ONE, 20(1), e0312075. https://doi.org/10.1371/journal.pone.0312075

Narayanan, P., Somasundaram, J., & Seifert, M. (2025). Risk-averse algorithmic support and inventory management. European Journal of Operational Research, 322(3), 993–1004.

Obermeier, D., & Henkel, J. (2025). Deductive certainty? Exploring the boundaries of trust formation in smart contracts on blockchains. MIS Quarterly, 49(4), 1513–1538. https://doi.org/10.25300/MISQ/2025/18501

Pandit, D., Caetano, A., Riboldi, B., & Mestrinho, L. (2025). Annual African Tourism Outlook – AATO 2024. Nova School of Business & Economics.

Petryk, M., Müller-Bloch, C., Hahn, J., Halaburda, H., Henfridsson, O., Obermeier, D., & Yoo, Y. (2025). Promises and perils of decentralization in the blockchain age. In ICIS 2025 Proceedings (Paper 1). Association for Information Systems.

Pocsay, M., Han, Q., & Kaiser, M. (2025). Unpacking Online Grocery Carts: A Mission-Based Approach to Shopping Trip Segmentation. Global Marketing Conference.

Regina de Brito Duarte, R., Han, Q., & Soares, C. (2025). Dissecting Medical Referrals in Health Services: Role of Physician Professional Networks. BMC Health Services Research (Accepted).

Shen, Y., Jiang, D. L., Andritsos, D. A., & Li, X. (2025). Spillover effects from health information systems integration: Evidence from prescription drug monitoring programs. Journal of Operations Management. https://doi.org/10.1002/joom.1367

Shi, Q., Han, Q., & Soares, C. (2025). C-PATH: Conversational Patient Assistance and Triage in Healthcare System. IEEE International Conference on Digital Health (ICDH).

Shi, Q., Han, Q., & Soares, C. (2025). C-PATH: Conversational patient assistance and triage in healthcare system. 2025 IEEE International Conference on Digital Health (ICDH). arXiv. https://doi.org/10.48550/arXiv.2506.06737

Smolinski, R., Koelmel, J. P., Stelben, P., Weil, D., Godri, D., Schiessel, D., Kummer, M., Stow, S. M., Mohsin, S., Royer, L., McKenzie-Coe, A., Lubinsky, T., DeBord, D., Chevallier, O., Rennie, E. E., Godri, P., Krystal, J., & McDonough, C. (2025). FluoroMatch IM: An interactive software for PFAS analysis by ion mobility spectrometry. Environmental Science and Technology, 59(13).

Tang, C., Corredeira, P., Casimiro, S., Han, Q., Sukdao, W., Cavaco, A., Melo-Alvim, C., Matos, C. O., Abreu, C., Walsh, S., Nogueira-Costa, G., Ribeiro, L., Barradas, A. L., Fonseca, J. E., Costa, L., Yates, E. V., & Bernardes, G. J. L. (2025). Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response. Nature Communications, 16(1), 6474.

Tang, C., Corredeira, P., Casimiro, S., Shi, Q., Han, Q., Sukdao, W., Cavaco, A., et al. (2025). Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response. Nature Communications, 16, 6474.

Trindade, A., & Caldieraro, F. (2025). The effect of competition on retail price and assortment size decisions: Theory and evidence. Journal of Retailing. https://doi.org/10.1016/j.jretai.2025.10.005

Vostrikov, D., et al. (2025). Unpacking maximum extractable value on Polygon: A study on atomic arbitrage. In 2025 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) (pp. 1–7). IEEE. https://doi.org/10.1109/ICBC64466.2025.11185092

2024

Cao, Z., & Belo, R. (2024). Effects of explicit sponsorship disclosure on user engagement in social media influencer marketing. MIS Quarterly: Management Information Systems. https://doi.org/10.25300/MISQ/2023/17944

Gardete, P. M., & Hunter, M. (2024). Multiattribute search: Empirical evidence and information design. Marketing Science. https://doi.org/10.1287/mksc.2022.0177

Guha, S., Seifert, M., & Ulu, C. (2024). The Role of Environmental Instability in Detecting and Responding to Signals of Impending Regime Shifts. Behavioral Decision Analysis.

Lavado, S., Costa, E., Sturm, N. F., Tafferner, J. S., Rodrigues, O., Pita Barros, P., & Zejnilović, L. (2024). Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal. Accepted for publication.

Pires, P. A., Ferreira, M. A., Soares, M., & Trindade, A. (2024). Income Shocks and Demand for Sustainable Products. SSRN.

Pocsay, M. E., Han, Q., & Kaiser, M. (2024). Shopping Missions in Online Grocery Shopping. SSRN, 4797715.

Shen, Y., & Zhou, W. (2024). A burst capacity model for pipelines containing pinhole-in-corrosion defects. Journal of Pipeline Science and Engineering.

Shen, Y., & Zhou, W. (2024). A comparison of onshore oil and gas transmission pipeline incident statistics in Canada and the United States. International Journal of Critical Infrastructure Protection.

Shen, Y., & Zhou, W. (2024). Classification and Regression of Pinhole Corrosions on Pipelines Based on Magnetic Flux Leakage Signals Using Convolutional Neural Networks. Algorithms.

Shen, Y., & Zhou, W. (2024). Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on magnetic flux leakage signals. International Journal of Pressure Vessels and Piping.

Shen, Y., & Zhou, W. (2024). Finite Element Analyses of Burst Capacities of Pipelines Containing Pinhole-in-Corrosion Defects. Engineering Failure Analysis.

Trindade, A., Donna, J., Pu, Y., Pereira, P., & Yoshida, R. (2024). Direct sales and bargaining. The RAND Journal of Economics.

Zejnilović, L., Lavado, S., Grilo, C., Sá, R., & Faias, S. (2024). The effects of COVID-19 restrictions on Portuguese marine small-scale fisheries: A regional analysis. Marine Policy, 165, 106156. https://doi.org/10.1016/j.marpol.2024.106156

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.

 

Bertello, A., Coelho da Silva, R., & Zejnilovic, L. (2025). From Interpersonal to Blockchain-Based: Towards a New Theory of Trust Enactment in Temporary Online Open Organizing. Accepted at PROS 2025.

Cardoso, F., Leitão, D., Shi, Q., & Figueiredo, R. (2025). A blockchain platform to enhance the carbon credit market in local government. Paper presented at Blockchain Confluence 2025.

Cohen, C., Costa, R., & Palma, V. (2025). Digitalization of SSE: MutualData as an innovative tool for impact measurement and transparency in the Portuguese mutual sector. 10th CIRIEC International Research Conference on Social Economy, Bordeaux, France.

Figueiredo, R., & Cardoso, F. (2025). Loyalty Ecosystem Transformation in the Age of Digital Business: The New Dynamic Adopting Blockchain Technology. Presented at the 2025 Global Marketing Conference, Hong Kong.

Figueiredo, R., Cardoso, F., Coutinho, Madeira, Pérez, & Roytberg. (2025). Potential Governance Framework for a Condominium Once the Legislator Allows the Tokenization of Property Rights. Presented at the 2025 Global Marketing Conference, Hong Kong.

Figueiredo, R., Cardoso, F., Timóteo, D. (2025). Multilingual Data Tokenization for Loyalty Platforms. Accepted at the International Conference on Web3: Tokenization, Technology and Culture.

Gambetti, A., & Han, Q. (2025). Investigating Review Inconsistency through Image-Text Content Congruence: A Multimodal Learning Approach. Twenty-first Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Paphos, Cyprus.

Ji, R., & Han, Q. (2025). Mind the Language Gap: Exploring the Impact of Multilingual LLMs on News Recommender Systems. Twenty-first Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Paphos, Cyprus.

Ji, R., & Han, Q. (2025). Mind the Language Gap: Unintended Consequences of LLM Embeddings on Multilingual News Recommender Systems. The 35th Workshop on Information Technologies and Systems (WITS), Nashville, TN.

Pocsay, M., Han, Q., Kaiser, M., & Shen, Y. (2025). Google’s Sputnik Moment? The Disruption of Search Behavior in the Age of ChatGPT. Twenty-first Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Paphos, Cyprus.

Santos Cardoso, F., Coelho da Silva, R., Santos, J., & Zejnilovic, L. (2025). Of Bricks and Bytes: Big Data, AI, and Blockchain Technology Adoption in the Portuguese Real Estate Sector. Accepted at R&D Management Conference 2025.

Tchuente, D., Pandit, D., & Zejnilović, L. (2024). Digital Platforms in Africa: Science Mapping and Performance Analysis. Sixth International Conference on Information and Communication Technology for African Development, Cameroon.

dos Santos Cardoso, F., Zejnilović, L., Oliveira, J., & Vasconcelos, H. (2024). Modeling Hackathons Platform for a Token Economy. Blockchain and Internet of Things Conference, Fukuoka, Japan.

Lavado, S., Charles, W., & Zejnilović, L. (2024). Human oversight of algorithmic decisions: A post-deployment empirical investigation. Data for Policy 2024, London, United Kingdom.

Oldenburg, F., Han, Q., & Kaiser, M. (2024). Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape. 2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA), San Diego, United States.

Gambetti, A., & Han, Q. (2024). AiGen-FoodReview: A Multimodal Dataset of Machine-Generated Restaurant Reviews and Images on Social Media. International Conference on Web and Social Media (ICWSM 2024), Buffalo, United States.

Lavado, S., & Zejnilović, L. (2024). Building job seekers’ profiles: Can LLMs level the playing field? European Workshop on Algorithmic Fairness (EWAF 2024), Mainz, Germany.

Tavares, J., Lavado, S., & Zejnilović, L. (2024). Townhall versus Online Democracy: Evidence from a Participatory Budget, Before and After the COVID-19 Pandemic. 21st International Open and User Innovation Conference, Harvard Business School, Boston, United States.

Carocci, L. S., & Han, Q. (2024). Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection. 2024 IEEE International Conference on Big Data, Washington, D.C., United States.

Rocha, M., Høgheim, V., Almeida, M., Theilmann, A., Silva, J., & Gambetti, A. (2024). Optimizing Product Matching in E-commerce: A Strategic Perspective on Precision–Recall Trade-Off. Digital Marketing & eCommerce Conference.

Novais, M. A., Han, Q., & Zejnilović, L. (2024). Using mobile data to investigate visitor movement. CAUTHE 2024 Conference Proceedings: Diverse Voices: Creating Change in Tourism, Hospitality and Events.

Kanellopoulos, I. F., Belo, R., & Li, T. (2024). How Anti-ghosting Interventions Affect Matchmaking. ICIS 2024.

Tsekouras, D., Belo, R., & Cornelius, P. (2024). Generative AI and Student Performance: Evidence from a Large-Scale Intervention. ICIS 2024.

Resende, D., Richter, G., Sant’Anna, M., & Trindade, A. (2024). Pricing and Informality: Evidence from Energy Theft in Brazil. Toulouse Conference on the Economics of Energy and Climate.

Alves, A., Han, Q. (2020). Profit-Driven Telemarketing Campaign in Wireless Industry using Uplift Modeling, Sixteenth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Madrid, Espanha.

Gambetti, A., Han, Q. (2021). Can Customer Reviews and Food Photos Predict Restaurant Price Level?: Evidence from Yelp. Seventeenth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Virtual, June 2021. 

Kloc, A., Belo, R., Li, T. (2021) Gamification and learning: The impact of competitive structures on user engagement in the educational online platforms. 2021 Conference on Digital Experimentation @ MIT (CODE@MIT) 

Han, Q., Zejnilovic, L., Pita Barros, P. (2018) Matching patients with doctors towards trusting relationship in primary care, Fourteenth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Países Baixos, 2018.

Wan, C., Belo, R., Zejlinovic, L. (2021) Explainability’s Gain is Optimality’s Loss? – An Empirical Study. 2021 Conference on Digital Experimentation @ MIT (CODE@MIT) 

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. 

Han, Q., Zejnilovic, L. (2017). Recommender Systems in Physical Retailing: Practices, Prospects and Policy Perspectives, The 3rd International Conference on Data for Policy, Londres, Setembro 2017.

Zejnilovic, L., Flament, I., Malik M., Lozano, C. (2017). "Visualizing tourist flows in Tuscany", Cimeira do Turismo em Lisboa, Novembro, 2017. 

Zejnilovic L., Silva R., Oliveira P. (2021). “How many needles in a haystack? The search for user innovations in manual and algorithmic-augmented systems”, Open and User Innovation Society Meeting

Aitounejjar, M. (2025). A Roadmap to AI for NGOs: Cáritas Case Study – Human-centered AI: Ethics, Trust, Staff Development, and GDPR Challenges. Nova SBE. Adviser: Bernardo Forbes Godinho.

Essid, F. (2025). A Comprehensive Framework for Social Programme Monitoring: Streamlit Application Design for Cáritas Data Systems. Nova SBE. Adviser: Bernardo Forbes Godinho.

Ferreira, R. (2025). A Roadmap to AI for NGOs: Cáritas Case Study – Benefits, Challenges and Ethical Considerations of AI Adoption. Nova SBE. Adviser: Bernardo Forbes Godinho.

Myers, R. (2025). A Roadmap to AI for NGOs: A Cáritas Case Study – An Adapted Data Governance Framework for AI Readiness in Federated Nonprofit Organizations. Nova SBE. Adviser: Bernardo Forbes Godinho.

Pereira, M. (2025). A Roadmap to AI for NGOs: Cáritas Case Study – A Model for Ethical Co-creation in AI for Good. Nova SBE. Adviser: Bernardo Forbes Godinho.

Steinbach, C. (2024). Opportunity Quantification: Building the Financial Model for a Carbon Credit Marketplace. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Zipfel, S. (2024). Analyzing Corporate Engagement in the Carbon Credit Market: Exploring Pain Points Purchasing Carbon Credits. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Kolb, L. (2024). Navigating the Voluntary Carbon Credit Market: A Strategic Analysis of Market and Competitive Dynamics. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Heins, C. (2024). Business Model Definition: Key Components and Strategic Steps for Developing a Carbon Credit Marketplace. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Manarte, B. (2024). Challenges and Opportunities in the Voluntary Carbon Market: How Can Emerging Regulatory Frameworks and Blockchain Technology Enhance Transparency and Credibility in the Market. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Bentes, F. (2024). A Quantitative Inquiry into Market Trends, Costs, and Regional Dynamics: Shedding Light on the Voluntary Carbon Market Through Rigorous Data Analysis and Comparative Exploration. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Gomes, B. (2024). Assessment of Customers' Engagement in a Multi-Company Loyalty Program: A Multiple Regression Analysis to Identify Key Customer Segments and Comparative Analysis of Program Features. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Oliveira, F. (2024). Perceptions and Potential of a Multi-Company Loyalty Program: A Thematic Analysis of Companies’ Views on Implementation, Feasibility, and Technology, Particularly Blockchain. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Lobo, I. (2024). Understanding Insights of Customers’ Survey: An Exploratory Data Analysis and Cluster Approach to Identify and Characterize Potential Customer Segments. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Croce, M., Márquez, M., & Serdaroglu, U. (2024). Tokenomics Models for a Multi-Company Loyalty Program: A Monte Carlo Method Approach. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Falconnier, A. (2024). Unlockit Field Lab on Incentivizing Real Estate Participants: How Blockchain Is Reshaping Data Sharing. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Oliveira, H. (2024). Unlockit Field Lab on Incentivizing Real Estate Participants: Strategies and Business Models for Collaboration among Stakeholders. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Castanheira, B. (2024). Monetization of Taikai Garden. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Carvalhal, M. (2024). Social Economy in Portugal: A Code of Conduct for Data Collection, Management and Sharing. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović; Co-adviser: Lénia Mestrinho.

Villemeyre, V., Venizia, T., & Civard, M. (2024). Harmonizing Impact: A Comparative Analysis of Social Economy Satellite Accounts in Portugal, Poland, and France. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović; Co-adviser: Lénia Mestrinho.

Leitão, D. (2024). Data-Driven Decision-Making in Portuguese Social Impact Organisations: Evolutionary Trends and Catalysts. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović; Co-adviser: Lénia Mestrinho.

Testa, G. (2024). Data-Driven Decision-Making in Portuguese Social Impact Organisations: Changes and Advancements in the Digital Age. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović; Co-adviser: Lénia Mestrinho.

Aouzal, Y., & Braasch, L. (2024). To What Extent Do Social Enterprises Contribute to Fostering Social Innovation and Driving Positive Social Change in Portugal? Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović; Co-adviser: Lénia Mestrinho.

Hohn, E. (2024). The X-Collider: Evaluating and Shaping an Initiative for Field Experimentation at Nova School of Business and Economics. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Dohlen Haegh, J. (2024). Enhancing Referral Screening in Healthcare: An Ensemble Learning Approach to Improve Classification Accuracy at Hospital Garcia de Orta. Master's thesis, Nova School of Business & Economics. Adviser: Patrícia Xufre.

Kamoun, M. (2024). Improving Patient Referral Classification Through Deep Learning and Natural Language Processing. Master's thesis, Nova School of Business & Economics. Adviser: Patrícia Xufre.

Costa, M. S. (2024). Transformers in Healthcare: Improving Decision Support Systems with Text Analysis. Master's thesis, Nova School of Business & Economics. Adviser: Patrícia Xufre.

Mogen, S. M. O. (2024). Refining IEFP’s Recommender Systems: A Comparative Exploration of Project Based Learning and a Modernized Framework. Master's thesis, Nova School of Business & Economics. Adviser: Patrícia Xufre.

Scammacca Del Murgo, C. E. (2024). Water Crisis and Tourism in Cape Town: Analysing the City's Destination Image Using Social Media Mining and Natural Language Processing. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Braun, B. (2024). Strategies to Effectively Engage Participants in Decentralized Governance: A Case Study at Q Protocol. Master's thesis, Nova School of Business & Economics. Adviser: Leid Zejnilović.

Abazi, L. (2021), The Impact of COVID-19 on Airbnb: A NLP-based Approach of Analyzing Shifting Risk Perceptions among Tourists during the Pandemic (Nova SBE; Adviser: Prof. Qiwei Han).

Alves, A. (2019). Uplift Modelling – Telemarketing Campaigns Cost Optimization for Vodafone (Nova SBE; Adviser: Prof. Qiwei Han).

Araújo, R. (2021). INCM & Nova SBE PBL Project - Retirement Law Query System: Performance Analysis & Evaluation of BERT for Extractive Question-Answering of Portuguese Retirement Law (Nova SBE; Adviser: Prof. Patrícia Xufre).

Bandeira, M. (2019). Data-driven decision making in social impact sector in Portugal: state of the art, challenges, and opportunities for improvements (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Baltazar, D. (2022). Automated AI trading system (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Bellon, D. (2022) Identifying key features for ESG score improvement in the EU market: a machine learning approach (Nova SBE; Adviser: Prof. Qiwei Han).

Berndt, L. (2022) Optimization of retail operations at Jeronimo Martins: Demand planning for ultra-fresh products (Nova SBE; Adviser: Prof. Qiwei Han).

Bezerra, M. (2021), A Recommender System for Pingo Doce & Go Nova (Nova SBE; Adviser: Prof. Qiwei Han).

Bianchi, A. (2020). Forecasting the automotive market using Autoregressive Integrated Moving Average with Python (Nova SBE; Adviser: Prof. Carlos Santos).

Bilro, A.R. (2022) Creating a product to segment donors and predict donor churn - AI ethics in NGOs: implications of biased or unfair machine learning in the non-profit sector (Nova SBE; Adviser: Prof. QiWei Han).

Bohrer, A. (2022). An evaluation of predictive customer segmentation for a German grocery retailer (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Cardoso, D. (2021). INCM & Nova SBE PBL Project - Retirement Law Query System: Using Top Ranking to Improve User Experience in a Semantic Search System (Nova SBE; Adviser: Prof. Patrícia Xufre).

Chen, B. (2021). Creating a Product to Segment Donors and Predict Donor Churn- Requirements Engineering and Data Visualization (Nova SBE; Adviser: Prof. QiWei Han).

Coelho da Silva, R. (2019). Machine Learning as a Catalyst of a Paradigm Shift in Healthcare: A Case of News Article Listener for continuous identification of Patient Innovations (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Colaço, J. (2021). Developing a dynamic recommender system for the aftermarket car industry: Dimensionality reduction techniques for recommendation system - The Tips4y use case (Nova SBE; Adviser: Prof. Carlos Santos).

Cruz, B. (2022). Skills-based recommender system: a conceptual diagram and empirical validation (Nova SBE; Adviser: Prof. Leid Zejnilovic. Nova IMS; Adviser: Leonardo Vanneschi).

Cunha, M. (2021). Creating a Product to Segment Donors and Predict Donor Churn for the Non-Profit Sector - Data-Driven Decision Making in NGO-s : Improving data collection to refine donor segmentation (Nova SBE; Adviser: Prof. QiWei Han).

Dias, T. (2019). Can Machine Learning algorithms predict Football players’ Market Values? A data-driven approach (Nova SBE; Adviser: Prof. Carlos Santos).

Oser, L. (2021). User-interface development for Brisa's newly developed traffic forecast models (Nova SBE; Adviser: Prof. Patrícia Xufre).

Enzberg. N. v. (2021), E-Commerce Sales Forecasting using Web-scale Data (Nova SBE; Adviser: Prof. Qiwei Han).

Ferreira, E. (2021), Selecting Accounts in a B2B Context: A Data-Driven Approach (Nova SBE; Adviser: Prof. Qiwei Han).

Fieseler, R. (2023) Assessing the potential for introducing utility tokens in the rental market from a stakeholder perspective (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Figueiral, A. (2021). INCM & NovaSBE PBL Project - Retirement Law Query SystemINCM & NovaSBE PBL Project - Retirement Law Query System: Improving the Performance of a BERT Model Applied to Portuguese Law by Training the Model-s Reader with Domain-specific Questions and Answers (Nova SBE; Adviser: Prof. Patrícia Xufre).

Fleer, J. (2022) VOIDS: development of a data science application using agile methodology (Nova SBE; Adviser: Prof. Qiwei Han).

Freches, R. (2022) Toward the expansion to the upcoming cities: a clustering approach for Luggit (Nova SBE; Adviser: Prof. Qiwei Han).

Fugardo, K. (2022) Understanding ESG communication for sustainability reports: a topic modeling approach (Nova SBE; Adviser: Prof. Qiwei Han).

Gambetti, A. (2021), Cheap Eats or Fine Diner? Discovering Social Media Signals for Restaurant Price Level Prediction (Nova SBE; Adviser: Prof. Qiwei Han).

Grünzinger, T. (2021). Critical success factors driving customer adoption of cloud gaming platforms (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Guerreiro, M. (2021). Medical cannabis industry in Portugal: opportunity or opportunism (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Guo, Z (2021), Factors Affecting the Acceptance of Digital Receipts of the Customers: Application of UTAUT2 Model (Nova SBE; Adviser: Prof. Qiwei Han).

Gussoni, A. (2021), Visualizing interactions between company fundamentals, traditional news and social media through features engineering (Nova SBE; Adviser: Prof. Qiwei Han).

Kocks, L. (2019). Range-base price advisor for online used car market using predictive modelling (Nova SBE; Adviser: Prof. Qiwei Han).

Konzok, I., Riedlberger, K. & Vysna, N. (2019). Improving Trust in Online Voting through the Use of Blockchain Technologies (Nova SBE; Adviser: Prof. Andrew Bell).

Kruse, T. (2022) A ML-based customer reference recommendation system to optimize the sales process at a B2B software company (Nova SBE; Adviser: Prof. Qiwei Han).

Lind, J. (2022) Optimization of retail operations at Jeronimo Martins: a semi-supervised approach for anomaly detection in lot ovens (Nova SBE; Adviser: Prof. Qiwei Han).

Link, S. (2022) Optimization of retail operations at Jeronimo Martins: a cluster-based approach to market basket analysis (Nova SBE; Adviser: Prof. Qiwei Han).

Lucas, C. (2022) Hyperml and deep interest network to build a recommender system: measuring the effectiveness of targeting users with new offers (Nova SBE; Adviser: Prof. Qiwei Han).

Macedo, P. (2022) Hyperml and deep interest network bo build a recommender system: targeting customers for campaign offers in a two-sided market (Nova SBE; Adviser: Prof. Qiwei Han).

Machado, P. (2021). Portuguese Automotive Aftermarket Forecast Through Time-Series Analysis And Modelling (Nova SBE; Adviser: Prof. Carlos Santos).

Magalhães, M. (2021). Hyperparameter Fine Tuning for a Time Series Forecasting Model (Nova SBE; Adviser: Prof. Patrícia Xufre).

Manotheepan, J. (2021). Urban logistic - the effects of pandemics on the last mile delivery (Nova SBE; Adviser: Prof. Leid Zejnilovic. Maastricht University Faculty of Economics and Business Administration).

Masalovich, P. (2021). Developing a dynamic recommender system for the aftermarket car industry. Developing and Designing of Dashboard for Visualizing Data in a Traceable Way - The Tips4y use case (Nova SBE; Adviser: Prof. Carlos Santos).

Matera, M. (2021), The music industry in the streaming age: predicting the success of a song on Spotify (Nova SBE; Adviser: Prof. Qiewi Han).

Merzenich, J. (2021), Quantifying Covid-19 impact on Airbnb hosting: Lisbon as a case study (Nova SBE; Adviser: Prof. Qiwei Han).

Monteiro, J. (2020). Forecasting the Portuguese Car Fleet and Automotive Aftermarket for the Future (Nova SBE; Adviser: Prof. Carlos Santos).

Nolden, J. (2022). Algorithmic trading with cryptocurrencies - what is the optimal modelling design for bitcoin price and trend prediction (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Novak, R. L. (2021), Digitization of an Airline's Misconnection Process: A Qualitative Approach to Sofware Package Selection and Evaluation (Nova SBE; Adviser: Prof. Qiwei Han).

Paleckyte, I., Esteves, F.A.C., Labarca, I.M.M. (2022). Medical referral networks in the U.S (Nova SBE; Adviser: Prof. Qiwei Han).

Pagel, F. (2021). Clustering of transactional traffic data to analyse mobility patterns (Nova SBE; Adviser: Prof. Patrícia Xufre).

Peito, J. (2019). Incorporating complex domain knowledge into health machine learning applications (Nova SBE; Adviser: Prof. Qiwei Han).

Pereira, I. (2019). How Much Data Is Enough To Track Tourists? The Tradeoff Between Data Granularity And Storage Costs (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Pires, J. (2021). Forecast and Analysis of the Portuguese Car Fleet and Automotive Aftermarket Using Time-Series Modelling (Nova SBE; Adviser: Prof. Carlos Santos).

Raimundo, J. (2022) Optimization of retail operations from the entry to the exit: a Pingo Doce & Go Nova customer journey analysis (Nova SBE; Adviser: Prof. Qiwei Han).

Rettmann, F. (2019). AI in the European manufacturing industry – a management guide (Nova SBE; Adviser: Prof. Lénia Mestrinho).

Ribeiro, J. (2022). Planning and prototyping aggregation and storage of job vacancies over time (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Rocha, S. (2019). Sales as a Science: Predictive Model for Upselling Opportunities in the PaaS Industry (Nova SBE; Adviser: Prof. Qiwei Han).

Roo, M. (2022). The use of blockchain in higher education & its implementation in Nova Sbe (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Rolim, P. (2021). INCM & Nova SBE PBL Project - Retirement Law Query System: Evaluating the impact of scaling the system to other Law Statutes (Nova SBE; Adviser: Prof. Patrícia Xufre).

Salama, R. (2021), Data-driven Modeling of Smart Building Energy Management (Nova SBE; Adviser: Prof. Qiwei Han).

Schmitz, S. (2022) Applying machine learning techniques to identify companies at higher risk of ESG controversy (Nova SBE; Adviser: Prof. Qiwei Han).

Schnülle, T. (2022). Algorithmic trading with cryptocurrencies - does twitter sentiment impact short-term price fluctuations in bitcoin (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Semmelhaack, J. (2022) VOIDS: impact of demand forecasting accuracy improvement on shareholder value creation (Nova SBE; Adviser: Prof. Qiwei Han).

Sidique, G. (2019). CRM and its importance in an online company - Uniplaces (Nova SBE; Adviser: Prof. Carlos Santos).

Simões, A. (2022) Creating a product to segment donors and predict donor churn for the non-profit sector: the impact of paid social media advertising on financial revenues for non-profits (Nova SBE; Adviser: Prof. Qiwei Han).

Sousa, C. (2019). Advanced Analytics as a driver of business value (Nova SBE; Adviser: Prof. Carlos Santos).

Southerington, E. (2019). How Consumers acquire Financial Literacy? An information acquisition model of human capital (Nova SBE; Adviser: Prof. Carlos Santos).

Sturm, N. (2022). Quantifying implicit political intentions in parliamentary discourse - an integrated approach using semi-supervised learning and vector space information retrieval (Nova SBE; Adviser: Prof. Leid Zejnilovic).

Veiga, J.M.C. (2022). Understanding the referral mechanism between general practitioners and specialists in private healthcare using network science (Nova SBE; Adviser: Prof. Qiwei Han).

Veiga, J. (2019). Understand Doctoral Referral Networks (Nova SBE; Adviser: Prof. Qiwei Han).

Von Haugwitz, F., Petry, H., Tumbragel, T.S. (2022). A systematic design and implementation for symptom checker for medical referral (Nova SBE; Adviser: Prof. Qiwei Han).

Wandersleb, T. (2022) VOIDS: demand forecasting for consumer electronic goods - a transformer-based deep learning approach (Nova SBE; Adviser: Prof. Qiwei Han).

Wawers, A. (2022) An analysis of the impact of ESG on corporate financial performance in Europe (Nova SBE; Adviser: Prof. Qiwei Han).

Wegener, W. (2022) The influence of ESG in the job market: a qualitative analysis on the impact of ESG factors on perceived employer attractiveness (Nova SBE; Adviser: Prof. Qiwei Han).

Werdich, L. (2021). Predicting the Development of Diabetic Nephropathy to Simulate Treatments Using Deep Learning Approaches (Nova SBE; Adviser: Prof. Qiwei Han).

Wu, Z. (2022) Hyperml and deep interest network bo build a recommender system: data privacy with GAN (Nova SBE; Adviser: Prof. Qiwei Han).

Würfel, M. (2021), Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach (Nova SBE; Adviser: Prof. Qiwei Han).

2025

Nova SBE (2024). Guia Prático: Proteção de Dados Pessoais – Economia Social. Nova School of Business & Economics (Social Equity Initiative), Carcavelos

2023

APPSHO and Nova SBE Data, Operations & Technology Knowledge Center (2023). Improving the capacity of Oral Health Assessment using AI. Lisbon.

Nova SBE (2023). African Tourism Data Ecosystem: Navigating Challenges and Opportunities for Sustainable Growth. Nova School of Business & Economics.

Pandit D, Caetano A,RiboldiB, Mestrinho L (2023). Annual African Tourism Outlook-AATO 2023, Nova School of Business& Economics, Carcavelos

2022

ATB e Nova SBE Data, Operations & Technology Knowledge Center (2022). Improving School Failure Risk Assessment. Lisboa.

El-Abass, F., Oldenburg, F. B., Rocha, M., Han, Q., Caetano, A., Mestrinho, L., Collier, B. (2022). Impact of Covid-19 on Tourism and Hospitality: Evidence from Airbnb in Portugal and Spain.

2021

ANP|WWF, Docapesca e Nova SBE Data, Operations & Technology Knowledge Center (2021). Fuga à lota: procurando soluções informadas pela Ciência de Dados. Lisboa.

Han, Q., Mestrinho, L., Caetano, A., Merzenich, J., Fleer, J., Matera, M. (2021). Impact of Covid-19 on Tourism and Hospitality in Portugal: Evidence From Airbnb. Nova School of Business & Economics.

Nova SBE e NOS (2021). Indicadores de mobilidade intra-municipais no combate à Covid-19. Nova School of Business & Economics.

Nova SBE (2021). Questionário “Impacto do COVID-19 e do Estado de Emergência nas Organizações Sociais de Portugal”. 1.ª Edição, Nova School of Business & Economics.

Nova SBE (2021). “Impacto da COVID-19 nas Organizações Sociais de Portugal” (2.a Edição)". 2.ª Edição, Nova School of Business & Economics.

2020

Zejnilovic, L., Mestrinho, L., Cassibry, K., Bandeira, M. (2020). Data-driven Decision-making in the Portuguese Social Sector. Nova School of Business & Economics (Social Equitive Initiative)