The advent of artificial intelligence (AI) is causing a change in the marketing landscape, and AI may replace human expertise with technology to improve service delivery in service organisations. This study investigates the relationship between artificial intelligence (AI) and customer loyalty in the context of advanced digital marketing, focusing on the mediating function of chatbots. To collect data, a survey was distributed to 104 customers in different hotels and eateries in Pakistan. The hypotheses were tested using confirmatory factor analysis, reliability and validity analysis, and mediation analysis. The findings indicate that AI has a positive effect on customer loyalty. In addition, the results demonstrate that chatbots serve as a mediator between AI and consumer loyalty. This suggests that chatbots, as AI-powered conventional agents, increase customer loyalty by providing personalised and timely support, resolving customer concerns and queries, and delivering a seamless user experience. These findings have significant repercussions for the hospitality industry, particularly regarding how companies can use chatbots and other AI technologies to develop customer loyalty. By incorporating AI-powered chatbots into their digital marketing strategies, businesses can increase consumer engagement, satisfaction, and loyalty. This study contributes to the existing corpus of knowledge by empirically examining the meditation function of chatbots in the AI-customer loyalty relationship within the context of advanced digital marketing. It is a valuable resource for researchers and practitioners who use AI-driven technologies to foster customer loyalty.
Afaq, A., Gaur, L., & Singh, G. (2023). Social CRM: linking the dots of customer service and customer loyalty during COVID-19 in the hotel industry. International Journal of Contemporary Hospitality Management, 35(3), 992-1009.
Alam, S. (2020). Artificial Intelligent Service Quality to Increase Customer Satisfaction and Customer Loyalty (Survey of PT. Telkomsel Customers). In First ASEAN Business, Environment, and Technology Symposium (ABEATS 2019) (pp. 100-104). Atlantis Press.
Alcivar-Cruz, B., & Llerena-Izquierdo, J. (2023). After-Sales and Customer Loyalty Strategies for Fixed Internet through Implementing Virtual Assistance in the Ecuadorian Context. In Intelligent Technologies: Design and Applications for Society: Proceedings of CITIS 2022 (pp. 139-149). Cham: Springer Nature Switzerland.
Babakhanian, M. R., Amin Mousavi, S. A., Soltani, R., & Vakilifar, H. R. (2023). Using an artificial intelligence-based optimisation algorithm, survey the effect of fintech companies’ profitability enhancement on winning customers’ loyalty. International Journal of Nonlinear Analysis and Applications, 14(1), 2409-2423.
B?lan, C. (2023). Chatbots and Voice Assistants: Digital Transformers of the Company–Customer Interface—A Systematic Review of the Business Research Literature. Journal of Theoretical and Applied Electronic Commerce Research, 18(2), 995-1019.
Bedi, K., Bedi, M., & Singh, R. (2022). Impact of Artificial Intelligence on Customer Loyalty in the Indian Retail Industry. In Adoption and Implementation of AI in Customer Relationship Management (pp. 26-39). IGI Global.
Chen, Q., Lu, Y., Gong, Y., & Xiong, J. (2023). Can AI chatbots help retain customers? Impact of AI service quality on customer loyalty. Internet Research, (ahead-of-print).
Chintalapati, S., & Pandey, S. K. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 64(1), 38-68.
Dimitrieska, S., Stankovska, A., & Efremova, T. (2018). Artificial intelligence and marketing. Entrepreneurship, 6(2), 298-304.
Fazlurrahman, H., Dhenabayu, R., & Indarwati, T. A. (2023, March). Implementing Digital Marketing as a Revitalization Strategy for MSME Leather Crafts at the Bag and Luggage Industry Cooperative. In International Joint Conference on Arts and Humanities 2022 (IJCAH 2022) (pp. 1331-1338). Atlantis Press.
Funke, N., Stadler, K., Vakkuri, H., Wagner, A., Lunkenheimer, M., & Kracklauer, A. (2023). “Your conversational partner is a chatbot”: An Experimental Study on the Influence of Chatbot Disclosure and Service Outcome on Trust and Customer Retention in the Fashion Industry. Journal of Applied Interdisciplinary Research, (1), 10-27.
Grundner, L., & Neuhofer, B. (2021). Artificial intelligence's bright and dark sides: A futures perspective on tourist destination experiences. Journal of Destination Marketing & Management, 19, 100511.
Ho, S. P. S., & Chow, M. Y. C. (2023). The Role of artificial intelligence in Consumers’ brand preference for retail banks in Hong Kong. Journal of Financial Services Marketing, 1-14.
Hsu, C. L., & Lin, J. C. C. (2023). Understanding the user satisfaction and loyalty of customer service chatbots. Journal of Retailing and Consumer Services, 71, 103211.
Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30-50.
Kishada, Z. M. E., Wahab, N. A., & Mustapha, A. (2016). Customer loyalty assessment in malaysian islamic banking using artificial intelligence. Journal of Theoretical and Applied Information Technology.
Khan, A., Bibi, S., Lyu, J., Babar, Z. U., Alam, M., & Hayat, H. (2022). Tourism development and well-being: the role of population and political stability. Fudan Journal of the Humanities and Social Sciences, 15(1), 89-115.
Lappeman, J., Marlie, S., Johnson, T., & Poggenpoel, S. (2023). Trust and digital privacy: willingness to disclose personal information to banking chatbot services. Journal of Financial Services Marketing, 28(2), 337-357.
Liu, Y., Alzahrani, I. R., Jaleel, R. A., & Al Sulaie, S. (2023). An efficient smart data mining framework based cloud internet of things for developing artificial intelligence of marketing information analysis. Information Processing & Management, 60(1), 103121.
Mear, F. (2023). Chatbots will improve the patient experience. BDJ In Practice, 36(4), 20-21.
Mgiba, F. M. (2020). Artificial intelligence, marketing management, and ethics: their effect on customer loyalty intentions: a conceptual study. The Retail and Marketing Review, 16(2), 18-35.
Mustak, M., Salminen, J., Plé, L., & Wirtz, J. (2021). Artificial intelligence in marketing: Topic modelling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389-404.
Oberoi, P. (2023). How Artificial Intelligence Is Impacting Marketing? In Encyclopedia of Data Science and Machine Learning (pp. 606-618). IGI Global.
Pakistan Tourism and Development Corporation (PTDC). (2021). Website: Welcome to Pakistan. http://www.tourism.gov.pk/
Peyravi, B., Nekrošien?, J., & Lobanova, L. (2020). Revolutionised technologies for marketing: Theoretical review with a focus on artificial intelligence. Business: Theory and Practice, 21(2), 827-834.
Pizzi, G., Vannucci, V., Mazzoli, V., & Donvito, R. (2023). I, chatbot! the impact of anthropomorphism and gaze direction on willingness to disclose personal information and behavioral intentions. Psychology & Marketing.1-16.
Prentice, C., Dominique Lopes, S., & Wang, X. (2020). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing & Management, 29(7), 739-756.
Rathore, B. (2023). Digital Transformation 4.0: Integration of Artificial Intelligence & Metaverse in Marketing. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 12(1), 42-48.
Shin, H., Bunosso, I., & Levine, L. R. (2023). The influence of chatbot humour on consumer evaluations of services. International Journal of Consumer Studies, 47(2), 545-562.
Soliman, M. (2021). Extending the theory of planned behavior to predict tourism destination revisit intention. International Journal of Hospitality & Tourism Administration, 22(5), 524-549
Sterne, J. (2017). Artificial intelligence for marketing: practical applications. John Wiley & Sons.
Suhartanto, D., Syarief, M. E., Chandra Nugraha, A., Suhaeni, T., Masthura, A., & Amin, H. (2022). Millennial loyalty towards artificial intelligence-enabled mobile banking: evidence from Indonesian Islamic banks. Journal of Islamic Marketing, 13(9), 1958-1972.
Tong, S., Luo, X., & Xu, B. (2020). Personalized mobile marketing strategies. Journal of the Academy of Marketing Science, 48, 64-78.
WTTC (2022). Pakistan 2021 Annual Research: Key Highlights. World Travel & Tourism Council.Retrieved:18.05.2022:file:///C:/Users/HP/Downloads/179_20220613165631_Pakistan2022_.pdf available at:https://wttc.org/research/economic-impact.
Yashkina, O., Chaikovska, M., & Filatova, V. (2020). Artificial Intelligence in Mobile Marketing: Conditions, Obstacles and Prospects of Using. ????????? ? ??????? ??????????, 4(2), 53-60.
Zeng, N., Jiang, L., Vignali, G., & Ryding, D. (2023). Customer Interactive Experience in Luxury Retailing: The Application of AI-Enabled Chatbots in the Interactive Marketing. In The Palgrave Handbook of Interactive Marketing (pp. 785-805). Cham: Springer International Publishing.
