References
- Amorim, F. A. D. (2018). Optimizing customer response to direct marketing initiatives (Master’s thesis, Universidade do Porto (Portugal)).
- Bornet, P., Barkin, I., & Wirtz, J. (2021). Intelligent automation: Welcome to the world of hyperautomation: Learn how to harness artificial intelligence to boost business & make our world more human. 10.1142/12239.
- Calvo, A.V., Franco, A.D., & Frasquet, M. (2023). The role of artificial intelligence in improving the omnichannel customer experience, International Journal of Retail & Distribution Management, 51 (9/10), 1174-1194.
- Chan, A., Salganik, R., Markelius, A., Pang, C., Rajkumar, N., Krasheninnikov, D., Langosco, L., He, Z., Duan, Y., Carroll, M., Mayhew, A., Collins, K., Molamohammadi, M., Burden, J., Zhao, W., Rismani, S., Voudouris, K., Bhatt, U., & Maharaj, T. (2023). Harms from Increasingly Agentic Algorithmic Systems. 651-666. 10.1145/3593013.3594033.
- Chauhan, P., Mahajan, A., & Lohare, D. (2017). Role of Big Data in retail customer-centric marketing. National Journal of Multidisciplinary Research and Development, 2(3), 484-488.
- Chen, H., Chan-Olmsted, S., Kim, J., & Mayor Sanabria, I. (2022). Consumers’ perception on artificial intelligence applications in marketing communication. Qualitative Market Research, 25(1), 125–142.
- Cloarec, J. (2022). Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization. Journal of Business Research, 152, 144–153.
- Court, D., Elzinga, D., Mulder, S. & Vetvik, O. J. (2009). The consumer decision journey. Retrieved from https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/the-consumer-decision-journey.
- Csoré Suhonen, C., & Hjelm, T. (2021). Consumer perception of machine-generated advertisement (Dissertation). Retrieved from https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-26873.
- Culotta, A., & Cutler, J. (2016). Mining brand perceptions from twitter social networks. Marketing science, 35(3), 343-362.
- Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2019). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48, 1-19.
- Davenport, T., Guha, A., Grewal, D. (2020). How artificial intelligence will change the future of marketing. J. of the Acad. Mark. Sci. 48, 24–42.
- De Keyser, A., Lemon, K. N., Klaus, P., & Keiningham, T. L. (2015). A framework for understanding and managing the customer experience. Marketing Science Institute working paper series, 85(1), 15-121.
- Dhiman, B., (2023). Key Issues and New Challenges in New Media Technology in 2023: A Critical Review. Journal of Media & Management, 5(1), 1-4.
- Dhiman, N., Jamwal, M., & Kumar, A. (2023). Enhancing value in customer journey by considering the (ad)option of artificial intelligence tools. Journal of Business Research. 167.
- Durante, Z., Sarkar, B., Gong, R., Taori, R., Noda, Y., Tang, P., & Huang, Q. (2024). An interactive agent foundation model. arXiv preprint arXiv:2402.05929.
- Erevelles, S., Fukawa, N., & Swayne, L. (2016). Big data consumer analytics and the transformation of marketing, Journal of Business Research, 69(2), 897-904.
- Feng, C., Park, A., Pitt, L., Kietzmann, J., & Northey, G. (2020). Artificial Intelligence in Marketing: A Bibliographic Perspective. Australasian Marketing Journal, 29(3), 252-263.
- Gartner (2019). Report Predicts 2019: Leadership Means Expanding Options, Not Limiting Them. Report. Hair Jr., J.F., Hult, G.T.M., Rongle, C.M., S.
- Gentile, C., Spiller, N., & Noci, G.(2007). How to Sustain the Customer Experience: An Overview of Experience Components that Co-create Value With the Customer, European Management Journal, 25 (5), 395-410.
- Gomes, P., Verçosa, L., Melo, F., Silva, V., Filho, C. B., & Bezerra, B. (2022). Artificial Intelligence-Based Methods for Business Processes: A Systematic Literature Review. Applied Sciences, 12(5), 2314.
- Grewal, D., Satornino, C. B., Davenport, T., & Guha, A. (2024). How generative AI Is shaping the future of marketing. Journal of the Academy of Marketing Science, 1-21.
- Groumpos, P. P. (2023). A Critical Historic Overview of Artificial Intelligence: Issues, Challenges, Opportunities, and Threats. Artificial Intelligence and Applications, 1(4), 181-197.
- Gur, I, Furuta, H., Huang, A., Safdari, M., Matsuo, Y., Eck, D., & Faust, A. (2023). A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis. 10.48550/arXiv.2307.12856.
- Heikkilä, M. (2024). What Are AI Agents? MIT TECH. REV. Retrieved from https://www.technologyreview.com/2024/07/05/1094711/what-are-ai-agents/.
- Hilken, T., De Ruyter, K., Chylinski, M., Mahr, D., & Keeling, D. I. (2017). Augmenting the eye of the beholder: exploring the strategic potential of augmented reality to enhance online service experiences. Journal of the Academy of Marketing Science, 45, 884-905.
- Hofacker, C. F., Malthouse, E. C., & Sultan, F. (2016). Big data and consumer behavior: Imminent opportunities. Journal of consumer marketing, 33(2), 89-97.
- Hoffman, D. L., & Novak, T. P. (2018). Consumer and object experience in the internet of things: An assemblage theory approach. Journal of Consumer Research, 44(6), 1178-1204.
- Hollebeek, L. D., Menidjel, C., Sarstedt, M., Jansson, J., & Urbonavicius, S. (2024). Engaging consumers through artificially intelligent technologies: Systematic review, conceptual model, and further research. Psychology & Marketing, 41, 880–898.
- Hoyer, W., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2020). Transforming the Customer Experience Through New Technologies. Journal of Interactive Marketing, 51 (1), 57–71.
- Huang, M.-H., Rust, R., & Maksimovic, V. (2019). The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI). California Management Review, 61(4), 43-65.
- Jain, P., & Aggarwal, K. (2020). Transforming marketing with artificial intelligence. International Research Journal of Engineering and Technology, 7(7), 3964-3976.
- Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46-55.
- Jennings, N. R., Sycara, K., & Wooldridge, M. (1998). A roadmap of agent research and development. Autonomous agents and multi-agent systems, 1, 7-38.
- Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial Intelligence in Advertising: How Marketers Can Leverage Artificial Intelligence Along the Consumer Journey. Journal of Advertising Research, 58(3), 263–267.
- Kotler, P., Kartajaya, H., Setiawan, I. (2021). Marketing 5.0: Technology for Humanity. Coimbra: Almedina.
- Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135–155.
- Kühl, N., Mühlthaler, M., & Goutier, M. (2020). Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media. Electronic Markets, 30(2), 351-367.
- Lemon, K. N., & Verhoef, P. C. (2016). Understanding Customer Experience Throughout the Customer Journey. Journal of Marketing, 80(6), 69-96.
- Longoni, C., Bonezzi, A., & Morewedge, C. K. (2019). Resistance to Medical Artificial Intelligence. Journal of Consumer Research, 46(4), 629–650.
- Longoni, C., & Cian, L. (2022). Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The “Word-of-Machine” Effect. Journal of Marketing, 86(1), 91-108.
- Maechler, N., Neher, K., & Park, R. (2016). From touchpoints to journeys. Retrieved from http://dln.jaipuria.ac.in:8080/jspui/bitstream/123456789/14243/1/From_touchpoints_to_journeys_seeing_the_world_as_customers_do.pdf.
- Marine-Roig, E., & Clavé, S. A. (2015). Tourism analytics with massive user-generated content: A case study of Barcelona. Journal of destination marketing & management, 4(3), 162-172.
- McKinsey & Company. (2024). What is AI (artificial intelligence)? Retrieved from https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-ai.
- Microsoft Annual Report (2019). Retrieved from https://www.microsoft.com/investor/reports/ar19/index.html#.home.
- Mintz, Y., & Brodie, R. (2019). Introduction to artificial intelligence in medicine. Minimally Invasive Therapy & Allied Technologies, 28(2), 73–81.
- Moura, S., & Reis, J. L. (2021). The Artificial Intelligence in the Personalisation of the Customer Journey-a literature review Journey. Retrieved from https://aisel.aisnet.org/capsi2021/28.
- Mussa, M. (2020). The impact of Artificial Intelligence on Consumer Behaviors An Applied Study on the Online Retailing Sector in Egypt. 50(4), 293-318.
- Mukherjee, A., & Chang, H. (2024). AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research. Retrieved from https://ssrn.com/abstract=4738442.
- Overgoor, G., Chica, M., Rand, W., & Weishampel, A. (2019). Letting the computers take over: Using AI to solve marketing problems. California Management Review, 61(4), 156-185.
- Pallathadka, H., Ramirez Asís, E., Loli-Poma, T., Kaliyaperumal, K., Ventayen, R. J., & Naved, M. (2023). Applications of artificial intelligence in business management, e- commerce and finance. Materials Today: Proceedings, 80 (6), 2610-2613.
- Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021). Consumers and Artificial Intelligence: An Experiential Perspective. Journal of Marketing, 85(1), 131–151.
- Ribeiro, J. (2021). AI in 2020: A year writing about artificial intelligence. Jair Ribeiro.
- Rodgers, W., & Nguyen, T. (2022). Advertising Benefits from Ethical Artificial Intelligence Algorithmic Purchase Decision Pathways. Journal of Business Ethics, 178(4), 1043–1061.
- Russell, S., Norvig, P. (2020). Artificial Intelligence: A Modern Approach, 4th ed. Pearson.
- Sabharwal, A. S. Russell, P. Norvig (2011). Artificial Intelligence: A Modern Approach, Third Edition.
- Shah, D., Osiński, B., & Levine, S. (2023). Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action. In Conference on robot learning, 492-504.
- Shankar, V. (2018). How Artificial Intelligence (AI) is Reshaping Retailing. Journal of Retailing, 94 (4), vi-xi.
- Siau, K. (2017). Impact of artificial intelligence, robotics, and automation on higher education. AMCIS, 10-12.
- Soni, N., Sharma, E., Singh, N. & Kapoor, A. (2020). Artificial Intelligence in Business: From Research and Innovation to Market Deployment, Procedia Computer Science, 167, 2200-2210.
- Stone, P., & Veloso, M. (2000). Multiagent systems: A survey from a machine learning perspective. Autonomous Robots, 8, 345-383.
- Suleyman, M. (2023). My New Turing Test Would See If AI Can Make $1 Million, MIT Technology Review. Retrieved from https://www.technologyreview.com/2023/07/14/1076296/mustafa-suleyman-my-new-turing-test-would-see-if-ai-can-make-1-million/.
- Tehrani, Z. (2023). Bibliographic Research: Generative AI in Marketing.
- Thiraviyam, T. (2018). Artificial intelligence marketing, International Journal of Recent Research Aspects, Special Issue: Conscientious Computing Technologies, 449-452.
- Tordjman, K., MacDonald, D., Gerrard, P., Derow, R., Scott, B., Poria, K., Bell, R., & Irwin, M. (2025). How AI Agents Are Opening the Golden Era of Customer Experience, BCG.
- Trusov, M., Ma, L., & Jamal, Z. (2016). Crumbs of the cookie: User profiling in customer-base analysis and behavioral targeting. Marketing Science, 35(3), 405-426.
- Wang, H., Hao, L., Sharma, A., & Kukkar, A.(2022). Automatic control of computer application data processing system based on artificial intelligence, Journal of Intelligent Systems, 31 (1), 177-192.
- Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., & Zitnik, M. (2023). Scientific discovery in the age of artificial intelligence. Nature, 620(7972), 47-60.
- Wooldridge, M., & Jennings, N. R. (1995). Intelligent agents: Theory and practice. The knowledge engineering review, 10(2), 115-152.
- Xu, H., Luo, X., Carroll, J. M., & Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems, 51(1), 42–52.
- Zhu, Y. Q., & Chang, J. H. (2016). The key role of relevance in personalized advertisement: Examining its impact on perceptions of privacy invasion, self-awareness, and continuous use intentions. Computers in Human Behavior, 65, 442–447.