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Autor
Zemmouri Aicha (Mohamed V University of Rabat), Choufari Salma (Mohamed V University of Rabat)
Tytuł
Using Artificial Intelligence to Improve Customer Engagement:User Experience With Chatbot Technology
Źródło
Journal of Marketing and Consumer Behaviour in Emerging Markets, 2025, nr 1 (20), s. 48-63, tab., bibliogr. 64 poz., indeks
Słowa kluczowe
Sztuczna inteligencja, Zaangażowanie klienta, Strategia marketingowa, Zarządzanie doświadczeniem klienta
Artificial intelligence, Customer engagement, Marketing strategy, Customer Experience Management (CEM)
Uwagi
Klasyfikacja JEL: M31
summ.
Abstrakt
This study examines the impact of artificial intelligence (AI) on improving customer loyalty through the use of chatbot technology, with a specific focus on the user experience of Moroccan consumers. The increasing integration of AI into customer service, especially through chatbots, represents a significant shift in how companies interact with their customers. Given Morocco's growing digitalization and the strategic importance of customer loyalty, it is critical to understand how consumers perceive and interact with these technologies. To achieve this, the study used a qualitative research method of semi-structured interviews to investigate consumers' perceptions, interaction behaviours, and challenges with chatbot usage. A total of 50 interviews were conducted with Moroccan consumers over a two-month period, from January to March. Each session lasted an average of 30 minutes. The results show a mixed picture: high awareness of chatbot advances is accompanied by varying degrees of appreciation and scepticism. Users cited both the potential and limitations of chatbot interactions, particularly in terms of technical responsiveness and personalization. The findings highlight the need to close the technology gap and optimize the user experience to increase the effectiveness of chatbots in customer service. The study contributes to theory and practice through a deeper understanding of AI-driven customer interactions and offers actionable recommendations for Moroccan companies seeking to update their digital customer engagement strategies. (original abstract)
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Bibliografia
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  1. Adam, M., Wessel, M., & Benlian, A. (2020). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 30, 427-445. https://doi.org/10.1007/s12525-020-00414-7
  2. Adamopoulou, E., & Moussiades, L. (2020). Chatbots: History, technology, and applications. Machine Learning with applications, 2, 100006. https://doi.org/10.1016/j.mlwa.2020.100006
  3. Araujo, A. (2018). User perceptions and the impact of advancements in chatbot technology. International Journal of Human-Computer Studies, 118, 79-91.
  4. Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020). I, Chatbot: Modeling the determinants of users' satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54, 101473. https://doi.org/10.1016/j.tele.2020.101473
  5. Baabdullah, A. M., Alalwan, A. A., Algharabat, R. S., Metri, B., & Rana, N. P. (2022). Virtual agents and flow experience: An empirical examination of AI-powered chatbots. Technological Forecasting and Social Change, 181, 121772. https://doi.org/10.1016/j.techfore.2022.121772
  6. Bariş, A. (2020). A new business marketing tool: chatbot. GSI Journals Serie B: Advancements in Business and Economics, 3(1), 31-46.
  7. Bini, S. A. (2018). Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care?. The Journal of arthroplasty, 33(8), 2358-2361. https://doi.org/10.1016/j.arth.2018.02.067
  8. Brandtzaeg, P. B., & Følstad, A. (2017). Why people use chatbots. In Internet Science: 4th International Conference, INSCI 2017, Thessaloniki, Greece, November 22-24, 2017, Proceedings 4 (pp. 377-392). Springer International Publishing. https://doi.org/10.1007/978-3-319-70284-1_30
  9. Brandtzaeg, P. B., & Følstad, A. (2018). Chatbots: changing user needs and motivations. interactions, 25(5), 38-43. https://doi.org/10.1145/3236669
  10. Chatbot | Definition of chatbot in English by Lexico Dictionaries, 2019
  11. Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587-595. https://doi.org/10.1016/j.jbusres.2018.10.004
  12. Collins, H. (2015). Personalized customer interactions in digital marketing. Marketing Intelligence & Planning, 35(6), 730-745.
  13. Devaney, M. (2018). The essential elements of conversational marketing. Drift Group.
  14. Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2019). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  15. Ennaji, M. (2005). Multilingualism, Cultural Identity, and Education in Morocco. Springer.
  16. Erraoui, S., & Amine, A. (2024). Marketing models and strategies in the light of digital transformation and artificial intelligence: Theoretical framework. International Journal of Accounting, Finance, Auditing, Management and Economics, 5(1), 1-17.
  17. Etemad-Sajadi, R. (2016). The impact of online real-time interactivity on patronage intention: The use of avatars. Computers in human behavior, 61, 227-232. https://doi.org/10.1016/j.chb.2016.03.045
  18. Følstad, A., & Brandtzaeg, P. B. (2017). Users' experiences with chatbots: Findings from a questionnaire study. Quality and User Experience, 2(1), 1-14.
  19. Følstad, A., & Skjuve, M. (2019, August). Chatbots for customer service: user experience and motivation. In Proceedings of the 1st international conference on conversational user interfaces (pp. 1-9).
  20. Følstad, A., Araujo, T., Law, E. L. C., Brandtzaeg, P. B., Papadopoulos, S., Reis, L., ... & Luger, E. (2021). Future directions for chatbot research: an interdisciplinary research agenda. Computing, 103(12), 2915-2942.
  21. Galetto, A. (2017). Conversational marketing and its impact on customer engagement. Journal of Digital Marketing, 7(3), 45-58
  22. Gallup. (2014). State of the American workplace: Employee engagement insights for U.S. business leaders. Gallup, Inc.
  23. Gartner. (2018). Chatbots and user engagement: Insights and trends. Gartner Research.
  24. Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-services. e-Service, 2(2), 7-24. https://doi.org/10.2979/esj.2003.2.2.7
  25. Go, E., & Sundar, S. S. (2019). Humanizing chatbots: The effects of visual, identity and conversational cues on humanness perceptions. Computers in human behavior, 97, 304-316. https://doi.org/10.1016/j.chb.2019.01.020
  26. Hadi, R. (2019). When humanizing customer service chatbots might backfire. NIM Marketing Intelligence Review, 11(2), 30-35. https://doi.org/10.2478/nimmir-2019-0013
  27. Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119-132.
  28. Hassanein, K., Head, M., & Ju, C. (2009). A cross-cultural comparison of the impact of social presence on website trust, usefulness and enjoyment. International Journal of Electronic Business, 7(6), 625-641.
  29. Helm, J. M., Swiergosz, A. M., Haeberle, H. S., Karnuta, J. M., Schaffer, J. L., Krebs, V. E., ... & Ramkumar, P. N. (2020). Machine learning and artificial intelligence: definitions, applications, and future directions. Current reviews in musculoskeletal medicine, 13, 69-76. https://doi.org/10.1007/s12178-020-09600-8
  30. Hepziba, E., & John, F. (2020). Role of chat-bots in customer engagement valence. Psychology & Education, 57(9), 2181-2186.
  31. Hermann, E. (2022). Leveraging artificial intelligence in marketing for social good-An ethical perspective. Journal of Business Ethics, 179(1), 43-61. https://doi.org/10.1007/s10551-021-04843-y
  32. Hill, J., Randolph Ford, W., & Farreras, I. G. (2015). Real conversations with artificial intelligence: A comparison between human-human online conversations and human-chatbot conversations. Computers in Human Behavior, 49, 245-250. https://doi.org/10.1016/j.chb.2015.02.026
  33. Hofstede, G. (2011). Dimensionalizing Cultures: The Hofstede Model in Context. Online Readings in Psychology and Culture. https://doi.org/10.9707/2307-0919.1014
  34. Hosseini, S. (2020). Using a chatbot to increase tourists' engagement.
  35. Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of service research, 21(2), 155-172. https://doi.org/10.1177/1094670517752459
  36. Hunt, T. (2017). How Artificial Intelligence Is Transforming Customer Service. Harvard Business Review.
  37. Hwang, J., Choe, J. Y. J., Kim, H. M., & Kim, J. J. (2021). Human baristas and robot baristas: How does brand experience affect brand satisfaction, brand attitude, brand attachment, and brand loyalty? International Journal of Hospitality Management, 99, 103050. https://doi.org/10.1016/j.ijhm.2021.103050
  38. Jain, N. K., Kamboj, S., Kumar, V., & Rahman, Z. (2018). Examining consumer-brand relationships on social. media platforms. Marketing Intelligence & Planning, 36(1), 63-78. https://doi.org/10.1108/MIP-05-2017-0088
  39. Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in society, 62, 101280. https://doi.org/10.1016/j.techsoc.2020.101280
  40. Khan, R., Das, A., Khan, R., & Das, A. (2018). Introduction to chatbots. Build better chatbots: A complete guide to getting started with chatbots, 1-11. https://doi.org/10.1007/978-1-4842-3111-1_1
  41. Krishnan, C., Gupta, A., Gupta, A., & Singh, G. (2022). Impact of artificial intelligence-based chatbots on customer engagement and business growth. In Deep learning for social media data analytics (pp. 195-210). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-10869-3_11
  42. Kose, U., & Sert, S. (2016). Intelligent content marketing with artificial intelligence. In International Conference of Scientific Cooperation for Future (No. 837-43).
  43. Kurilchik, A. (2017). The impact of digital marketing on consumer behavior (Bachelor›s thesis). Laurea University of Applied Sciences.
  44. Lee, J. H., Yang, H., Shin, D., & Kim, H. (2020). Chatbots. https://doi.org/10.1093/elt/ccaa035
  45. Liu, Y., & Chen, W. (2021). Optimization of brand marketing strategy of intelligent technology under the background of artificial intelligence. Mobile Information Systems, 2021(1), 9507917. https://doi.org/10.1155/2021/9507917
  46. Manthei, M. (2018). Marketing personalization: Tailoring content to individual preferences. Journal of Marketing Theory and Practice, 26(4), 345-359.
  47. Mikalef, P., Fjørtoft, S. O., & Torvatn, H. Y. (2019). Developing an artificial intelligence capability: A theoretical framework for business value. In Business Information Systems Workshops: BIS 2019 International Workshops, Seville, Spain, June 26-28, 2019, Revised Papers 22 (pp. 409-416). Springer International Publishing. https://doi.org/10.1007/978-3-030-36691-9_34
  48. Mrahari, A., & Dinar, Y. (2018). Intelligence Artificielle: Quel Avenir Pour Le Marekting?. Public & Nonprofit Management Review, 3(1).
  49. Ojapuska, E. (2018). The Impact of Chatbots in Customer Engagement.
  50. Oshrat, Y., Aumann, Y., Hollander, T., Maksimov, O., Ostroumov, A., & Shechtman, N. (2022). Efficient Customer Service Combining Human Operators and Virtual Agents. arXiv preprint arXiv:2209.05226.
  51. Perez-Vega, R., Kaartemo, V., Lages, C. R., Razavi, N. B., & Männistö, J. (2021). https://doi.org/10.1016/j.jbusres.2020.11.002 Reshaping the contexts of online customer engagement behavior via artificial intelligence: A conceptual framework. Journal of Business Research, 129, 902-910.
  52. Reis, L., Maier, C., & Weitzel, T. (2022, June). Chatbots in Marketing: An In-Deep Case Study Capturing Future Perspectives of AI in Advertising. In Proceedings of the 2022 Computers and People Research Conference (pp. 1-8). https://doi.org/10.1145/3510606.3550204
  53. Rizvi, A. T., Haleem, A., Bahl, S., & Javaid, M. (2021). Artificial intelligence (AI) and its applications in Indian manufacturing: a review. Current Advances in Mechanical Engineering: Select Proceedings of ICRAMERD 2020, 825-835.
  54. Rouse, M. (2017). Understanding customer engagement: The dynamics of brand-customer relationships. Journal of Brand Management, 24(5), 493-506.
  55. Senihji, K. (2023). L'Intelligence Artificielle: Etats Des Lieux et Applications Dans Le Domaine Du Marketing. Revue D'Etudes en Management et Finance D'Organisation, 8(2).
  56. Shawar, B. A., & Atwell, E. (2007). Chatbots: are they really useful? Journal for Language Technology and Computational Linguistics, 22(1), 29-49. https://doi.org/10.21248/jlcl.22.2007.88
  57. Sheehan, B., Jin, H. S., & Gottlieb, U. (2020). Customer service chatbots: Anthropomorphism and adoption. Journal of Business Research, 115, 14-24. https://doi.org/10.1016/j.jbusres.2020.04.030
  58. Skjuve, M., & Brandzaeg, P. B. (2019). Measuring user experience in chatbots: An approach to interpersonal communication competence. In Internet Science: INSCI 2018 International Workshops, St. Petersburg, Russia, October 24-26, 2018, Revised Selected Papers 5 (pp. 113-120). Springer International Publishing. https://doi.org/10.1007/978-3-030-17705-8_10
  59. Suhel, S. F., Shukla, V. K., Vyas, S., & Mishra, V. P. (2020, June). Conversation to automation in banking through chatbot using artificial machine intelligence language. In 2020 8th international conference on reliability, infocom technologies and optimization (trends and future directions) (ICRITO) (pp. 611-618). IEEE. https://doi.org/10.1109/ICRITO48877.2020.9197825
  60. Tamara, C. A. J., Tumbuan, W. J. A., Gunawan, E. M. (2023). Chatbots in E-Commerce: a Study of Gen Z Customer Experience and Engagement-Friend or Foe?. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, 11(3), 161-175.
  61. Thompson, C. (2018). Assessing chatbot interaction as a means of driving customer engagement. https://doi.org/10.35794/emba.v11i3.49501
  62. Trivedi, J. (2019). Examining the Customer Experience of Using Banking. Chatbots and Its Impact on Brand Love: The Moderating Role of Perceived Risk, Journal of Internet. https://doi.org/10.1080/15332861.2019.1567188
  63. Wahabi, A., Khaddouj, K., & Lahlimi, N. (2023). Study of the relationship between chatbot technology and customer experience and satisfaction. International Journal of Accounting, Finance, Auditing, Management and Economics, 4(6-1), 758-771.
  64. Xu, Y., Liu, Y., & Pei, Y. (2017). Enhancing customer service through artificial intelligence: A study of chatbot usage in hospitality. International Journal of Information Management, 38(1), 54-64.
Cytowane przez
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ISSN
2449-6634
Język
eng
URI / DOI
http://dx.doi.org/10.7172/2449-6634.jmcbem.2025.1.4
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