References
Arrow, K. J. (1963). Social choice and individual values (2nd ed.). Yale University Press. Atima, M. E., Sanni, J. O., & Attah, A. (2022). Predictive audience segmentation models resolving targeting inefficiencies in regulated professional service enterprises. Shodhshauryam, International Scientific Refereed Research Journal, 5(1), 271-303. https://doi.org/10.32628/SHISRRJ247134 Bell, R. M., & Koren, Y. (2023). Advances in collaborative filtering for large-scale recommendation. ACM Computing Surveys, 55(9), 1-38. Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., & Liang, P. (2022). On the opportunities and risks of foundation models. Stanford Center for Research on Foundation Models. Delic, A., Neidhardt, J., & Werthner, H. (2022). Group decision-making and group recommender systems in tourism. Information Technology and Tourism, 24(2), 145-172. Felfernig, A., Boratto, L., Stettinger, M., & Tkalcic, M. (2024). Fairness and explanation in group recommender systems. User Modeling and User-Adapted Interaction, 34(1), 1-39. Gartner, J., & Liu, S. (2024). Bottom-up market sizing for emerging digital platforms. Journal of Business Research, 171, 114-129. Gneiting, T., & Katzfuss, M. (2023). Probabilistic forecasting: Methods and evaluation. Annual Review of Statistics and Its Application, 10, 125-151. Gretzel, U., Sigala, M., & Xiang, Z. (2024). Conversational and generative AI in travel: Capabilities and adoption. Journal of Travel Research, 63(4), 789-808. Hidasi, B., & Karatzoglou, A. (2023). Session-based recommendation with sequence models: A retrospective. ACM Transactions on Information Systems, 41(3), 1-29. Ji, Z., Lee, N., Frieske, R., Yu, T., & Fung, P. (2023). Survey of hallucination in natural language generation. ACM Computing Surveys, 55(12), 1-38. Kotler, P., Keller, K. L., & Chernev, A. (2022). Marketing management (16th ed.). Pearson. Lewis, P., Perez, E., Piktus, A., Petroni, F., & Kiela, D. (2022). Retrieval-augmented generation for knowledge-intensive tasks. Journal of Machine Learning Research, 23(1), 1-43. Masthoff, J., & Delic, A. (2022). Group recommender systems: Beyond preference aggregation. In Recommender systems handbook (3rd ed., pp. 381-420). Springer. Pizam, A., & Holcomb, J. (2023). Multi-generational and group travel: Behavioral trends. International Journal of Hospitality Management, 110, 103-118. Salinas, D., Flunkert, V., Gasthaus, J., & Januschowski, T. (2023). Deep probabilistic forecasting for demand. International Journal of Forecasting, 39(3), 1098-1117. Sanni, J. O. (2026a). Artificial intelligence driven demand forecasting models addressing volatility in complex service organizations. Computer Science & IT Research Journal, 7(1), 1-26. https://doi.org/10.51594/csitrj.v7i1.2170 Sanni, J. O. (2026c). Marketing analytics frameworks addressing governance, risk, and compliance decision-making gaps for executives. International Journal of Marketing and Communication Studies, 10(1), 37-64. https://doi.org/10.56201/ijmcs.v10.no1.2026.pg37.64 Sanni, J. O. (2026d). Predictive marketing frameworks resolving revenue attribution conflicts in regulated professional services environments. World Scientific News, 212, 52-81. https://doi.org/10.65770/QPHC9342 Sanni, J. O., Ajiga, D., & Atima, M. E. (2020a). Analytical models addressing measurement challenges of marketing return on investment in regulated services. International Journal P-ISSN 2695-186X of Multidisciplinary Research and Growth Evaluation, 1(5), 636-648. https://doi.org/10.54660/IJMRGE.2020.1.5.636-648 Sanni, J. O., Atima, M. E., & Attah, A. (2022). Systematic review of attribution modeling methods resolving bias in multi-touch journeys. Shodhshauryam, International Scientific Refereed Research Journal, 5(1), 304-334. https://doi.org/10.32628/SHISRRJ247135 Sanni, J. O., Iwuanyanwu, U. A., & Essien, M. A. (2026). Designing explainable AI based marketing automation architectures for healthcare and financial applications. World Scientific News, 213, 119-148. https://doi.org/10.65770/MJFK8593 Sanni, J. O., Iwuanyanwu, U. A., Essien, M. A., & Attah, A. (2023). Lifecycle-aware marketing automation using federated learning for secure cross-organizational data management. Gyanshauryam, International Scientific Refereed Research Journal, 6(6), 337-364. https://doi.org/10.32628/GISRRJ236642 Sanni, J. O., & Wedraogo, L. (2024). Data-centric funnel optimization frameworks resolving revenue leakage in high-value services. International Journal of Advanced Multidisciplinary Research and Studies, 4(6), 2859-2874. https://doi.org/10.62225/2583049X.2024.4.6.5641 Sen, A. (2022). Collective choice and social welfare (Expanded ed.). Harvard University Press. Train, K. E. (2022). Discrete choice methods with simulation (2nd ed.). Cambridge University Press. Voigt, P., & von dem Bussche, A. (2023). The data protection handbook (2nd ed.). Springer. Wedraogo, L., & Sanni, J. O. (2024). Machine learning models addressing uncertainty in cross- channel campaign performance forecasting accuracy. International Journal of Advanced Multidisciplinary Research and Studies, 4(6), 2875-2890. https://doi.org/10.62225/2583049X.2024.4.6.5648 Werthner, H., & Klein, S. (2024). Information technology and tourism: A structured perspective. Electronic Markets, 34(1), 1-22.
