References
Abrardi, L., Cambini, C., & Rondi, L. (2021). Artificial intelligence, firms and consumer behavior: A survey. Journal of Economic Surveys, 36(4), 969–991. https://doi.org/10.1111/joes.12455
Abdullah, M. S., Tasnim, K., Karim, M. Z., & Hasan, R. (2025). Improving market competitiveness using the use of artificial intelligence in strategic business decisions. Business & Social Sciences, 3(1), 1–9. https://doi.org/10.25163/business.3110213
Aslam, U. (2023). Understanding the usability of retail fashion brand chatbots: Evidence from customer expectations and experiences. Journal of Retailing and Consumer Services, 74, 103377. https://doi.org/10.1016/j.jretconser.2023.103377
Back, M. D., Stopfer, J. M., Vazire, S., Gaddis, S., Schmukle, S. C., Egloff, B., & Gosling, S. D. (2010). Facebook profiles reflect actual personality, not Self-Idealization. Psychological Science, 21(3), 372–374. https://doi.org/10.1177/0956797609360756
Bashir, M. S., Sayem, M. A., Das, S. S., Das, N., Sultana, A., Rahman, M., Shamsuzzaman, M., Paul, P., Hossian, M., & Uddin, M. K. M. (2025). High viral load is a risk factor for hepatocellular carcinoma: Clinical and laboratory insights from a cross-sectional study. Integrative Biomedical Research (Former Journal of Angiotherapy), 9(1), 1–8. https://doi.org/10.25163/angiotherapy.9110219
Bashir, M. S., Hossian, M., Uddin, M. K. M., Sayem, M. A., Sultana, A., Rana, F. A., Akter, T., Das, N., Rana, M. S., & Das, S. S. (2025). Association between hepatocellular carcinoma and diabetes mellitus. Journal of Primeasia, 6(1), 1–7. https://doi.org/10.25163/primeasia.6110193
Calcagno, M. (2021, October 29). The Struggle between Human-centredness and Intelligent Technologies: a Critical Discussion on the Use of Customer Data in Marketing Practice - A Survey Analysis of the RIR Clusters in Veneto. https://unitesi.unive.it/handle/20.500.14247/11964
Chapman, A., Mochida, T., & Sen, K. (2024). Can personal preferences and behaviors serve as proxies for energy and sustainability preferences? Contrasting statistical and machine learning approaches. Journal of Cleaner Production, 472, 143486. https://doi.org/10.1016/j.jclepro.2024.143486
Constantinescu, M., Voinea, C., Uszkai, R., & Vica, C. (2021). Understanding responsibility in Responsible AI. Dianoetic virtues and the hard problem of context. Ethics and Information Technology, 23(4), 803–814. https://doi.org/10.1007/s10676-021-09616-9
Developing an AI-Driven personalization engine for Real-Time content marketing in e-commerce platforms. (2024, June 24). IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/abstract/document/10725400/
Das, S. S., Hossain, M. S., Sultana, A., Rana, F. A., Hossen, A., Maowla, M. S., Uddin, M. K. M., Sayem, M. A., Hossian, M., & Bashir, M. S.* (2025). The influence of chronic kidney disease on hepatocellular carcinoma. Journal of Primeasia, 6(1), 1–8. https://doi.org/10.25163/primeasia.6110204
Erafy, A. N. E. (2023). Applications of Artificial Intelligence in the field of media. International Journal of Artificial Intelligence and Emerging Technology, 6(2), 19–41. https://doi.org/10.21608/ijaiet.2024.275179.1006
Ettlinger, N. (2022). Algorithms and the Assault on Critical Thought: Digitalized Dilemmas of Automated Governance and Communitarian Practice. Routledge.
Fabbri, M. (2022). Social influence for societal interest: a pro-ethical framework for improving human decision making through multi-stakeholder recommender systems. AI & Society, 38(2), 995–1002. https://doi.org/10.1007/s00146-022-01467-2
Gami, S. J., Sharma, M., Bhatia, A. B., Bhatia, B., & Whig, P. (2024). Artificial intelligence for dietary management. In Advances in medical diagnosis, treatment, and care (AMDTC) book series (pp. 276–307). https://doi.org/10.4018/979-8-3693-5528-2.ch010
Grochowski, M., Jablonowska, A., Lagioia, F., & Sartor, G. (2022). Algorithmic price discrimination and consumer protection. DOAJ (DOAJ: Directory of Open Access Journals). https://doi.org/10.26116/techreg.2022.004
Guendouz, T. (2023). Artificial intelligence-powered customer experience management (moving from mass to hyper-personalization in light of relationship marketing).
Hossian, M., Hasan, M. M., Sultana, A., Das, S. S., Paul, P., Shamsuzzaman, M., Rahman, M., Uddin, M. K. M., Sayem, M. A., & Bashir, M. S. (2024). Potential role of Helicobacter pylori infection in hepatocellular carcinoma: A clinical and laboratory-based study. Integrative Biomedical Research (Former Journal of Angiotherapy), 8(12), 1–9. https://doi.org/10.25163/angiotherapy.81210217
Hossain, M. M., Roy, A., & Nahiduzzaman, M. (2025). Modernizing textile industry operations with artificial intelligence. Applied IT & Engineering, 3(1), 1–8. https://doi.org/10.25163/engineering.3110230
How to reach Real-Time AI on consumer devices? Solutions for programmable and custom architectures. (2021, July 1). IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/abstract/document/9516652
Jansen, S. (2025). Impact of AI Personalization on Email Clicks and Conversions: Insights from a Real-World AI-Personalized Phishing Simulation. https://studenttheses.uu.nl/handle/20.500.12932/48815
Jim, J. R., Talukder, M. a. R., Malakar, P., Kabir, M. M., Nur, K., & Mridha, M. (2024). Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review. Natural Language Processing Journal, 6, 100059. https://doi.org/10.1016/j.nlp.2024.100059
Kalaba, C. J. (2023). Data-Driven Decision-Making in Local Governments: A Case Study of a Zambian Municipality (Doctoral dissertation, MA Thesis, Stellenbosch University).
Kaperonis, S. (2025). AI-Powered personalization. In Advances in marketing, customer relationship management, and e-services book series (pp. 251–276). https://doi.org/10.4018/979-8-3693-3799-8.ch013
Kumar, A. (2007). From mass customization to mass personalization: a strategic transformation. International Journal of Flexible Manufacturing Systems, 19(4), 533–547. https://doi.org/10.1007/s10696-008-9048-6
Kumar, V., Sharma, A., Shah, R., & Rajan, B. (2012). Establishing profitable customer loyalty for multinational companies in the emerging Economies: a conceptual framework. Journal of International Marketing, 21(1), 57–80. https://doi.org/10.1509/jim.12.0107
Larson, K. (2025, February 1). Data futures: Transforming digital traces into public goods in the age of commercial surveillance. https://dspace.mit.edu/handle/1721.1/159147
Macagnano, V. (2025). Leveraging Artificial Intelligence in B2B Sales?: Challenges and opportunities. Theseus. https://www.theseus.fi/handle/10024/888639
Malheiro, V., Santos, B., Figueiras, A., & Mascarenhas-Melo, F. (2025). The potential of artificial intelligence in pharmaceutical innovation: From drug discovery to clinical trials. Pharmaceuticals, 18(6), 788. https://doi.org/10.3390/ph18060788
Mimmo, S. S., Roy, A., & Billal, S. A. (2025). Integrating artificial intelligence across the fashion value chain: AI transforming design, production, and consumer experience. Applied IT & Engineering, 3(1), 1–10. https://doi.org/10.25163/engineering.3110210
Mittal, S., Chandel, A., & Nguyen, P. M. (2024). AI and Social Media Analytics. In Advances in business strategy and competitive advantage book series (pp. 267–290). https://doi.org/10.4018/979-8-3693-1495-1.ch012
Mobasher, M., & Farzi, S. (2020). An enhanced personality detection system through user’s digital footprints. Digital Scholarship in the Humanities, 36(3), 641–661. https://doi.org/10.1093/llc/fqaa070
Monica, V. A. (2025). Personalization vs. privacy in user experiences?: how users experience and reflect on personalized digital content in relation to their sense of privacy. Theseus. https://www.theseus.fi/handle/10024/891640
Nalbant, K. G., & Aydin, S. (2022). Development and Transformation in Digital Marketing and Branding with Artificial Intelligence and Digital Technologies Dynamics in the Metaverse Universe. Journal of Metaverse, 3(1), 9–18. https://doi.org/10.57019/jmv.1148015
Panfilova, A. S., & Turdakov, D. Y. (2024). Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-56080-8
Radanliev, P. (2025). AI Ethics: Integrating transparency, fairness, and privacy in AI development. Applied Artificial Intelligence, 39(1). https://doi.org/10.1080/08839514.2025.2463722
Rajendra, K. T. (2025). Intelligent Retail: Using Predictive AI to Drive Customer-Centric Strategies.
Roy, A., & Ahmed, M. J. (2025). Tech-driven fashion: Navigating the opportunities and challenges of digitalization. Applied IT & Engineering, 3(1), 1–10. https://doi.org/10.25163/engineering.10208
Reddy, D., Singh, A., Chopra, R., & Patel, R. (2021, September 25). Leveraging machine learning algorithms and natural language processing for AI-Enhanced social media marketing analytics. https://joaimlr.com/index.php/v1/article/view/28
Rojas, R. V. B., & Martínez-Cano, F. J. (Eds.). (2024). Revolutionizing Communication: The Role of Artificial Intelligence. CRC Press.
Ruckenstein, M., & Granroth, J. (2019). Algorithms, advertising and the intimacy of surveillance. Journal of Cultural Economy, 13(1), 12–24. https://doi.org/10.1080/17530350.2019.1574866
Sankar, J. G. (2024). AI-Driven Marketing success Stories. In Advances in marketing, customer relationship management, and e-services book series (pp. 48–66). https://doi.org/10.4018/979-8-3693-2165-2.ch003
Shah, M. M., & Kavathiya, H. R. (2024). Unveiling the Future: Exploring Conversational AI. In Studies in big data (pp. 511–526). https://doi.org/10.1007/978-3-031-52280-2_32
Shen, H., DeVos, A., Eslami, M., & Holstein, K. (2021). Everyday Algorithm Auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), 1–29. https://doi.org/10.1145/3479577
Spadacini, D. (2024). Navigating Change and Driving Innovation: Leveraging Big Data for Enhanced User Behavior Analysis and Strategic Decision-Making.
Stafford, L., Preston, C., & Pike, A. C. (2024). Participant use of artificial intelligence in online focus groups: an experiential account. International Journal of Qualitative Methods, 23. https://doi.org/10.1177/16094069241286417
Tufael, T., Rahman, M. M., Upadhye, V. J., Hossain, M. F., & Uddin, N. (2024). Combined biomarkers for early diagnosis of hepatocellular carcinoma. Integrative Biomedical Research (Former Journal of Angiotherapy), 8(5), 1–12. https://doi.org/10.25163/angiotherapy.859665
Uddin, M. K. M., Sultana, A., Rahman, M., Shamsuzzaman, M., Paul, P., Hasan, M. M., Sayem, M. A., Bashir, M. S., Das, S. S., & Hossian, M. (2025). Cardiovascular complications in patients with hepatocellular carcinoma. Integrative Biomedical Research (Former Journal of Angiotherapy), 9(1), 1–8. https://doi.org/10.25163/angiotherapy.9110218
Veerasankararao, R., Saheb, S. S., & Shaik, A. R. (2025). Intelligent marketing in insurance. In Advances in computational intelligence and robotics book series (pp. 73–108). https://doi.org/10.4018/979-8-3373-3897-2.ch003
Yusof, Z. B. (2025, February 7). Integrating Artificial Intelligence in Big Data Analytics: a framework for automated data processing and insight generation. https://orientacademies.com/index.php/OJEPAIAS/article/view/2025-02-07