Main Article Content
Abstract
This study explains the processes through which a relationship value in customer-owned channels is generated through AI-powered functionalities by focusing on the integrated psychological and behavioral processes. The basis of the work is large-scale text analysis of 18,456 market reviews of applications among 15-20 top customers in the areas of retail, finance, and life services, examining the entire value chain by semantic BERT analysis, hierarchical regression, and structural equation modeling with 5,000 bootstraps. Analysis of the results reveals the presence of function–dimension matching phenomena. These include intelligent recommendation, which has the maximum cognitive engagement (β = 0.41), chatbots, which have the peak affective engagement (β = 0.45), and predictive services, which are predominant in behavioral engagement with a β of 0.36. Customer-owned platforms produce 37.2% more overall effects than third-party platforms. The role of the overall chain mediating function of AI functions for relationship value creation is also supported by the study. The role that loyalty plays between trust and value is amplified by ownership of the channel. The results above present the objective assessment of the 37% boost that the ROI (Return on Investment) has on customer-owned communication channels. It also explains the role that development considerations play.
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References
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References
T. Davenport, A. Guha, D. Grewal, and T. Bressgott, "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, vol. 48, no. 1, pp. 24-42, 2020, doi: 10.1007/s11747-019-00696-0.
L. Cao, S. Sarkar, B. Ramesh, K. Mohan, and E. H. Park, "Shift of ambidexterity modes: An empirical investigation of the impact of artificial intelligence in customer service," International journal of information management, vol. 76, p. 102773, 2024, doi: 10.1016/j.ijinfomgt.2024.102773.
A. V. Calvo, A. D. Franco, and M. Frasquet, "The role of artificial intelligence in improving the omnichannel customer experience," International Journal of Retail & Distribution Management, vol. 51, no. 9/10, pp. 1174-1194, 2023, doi: 10.1108/IJRDM-09-2021-0435.
Y. Gao and H. Liu, "Artificial intelligence-enabled personalization in interactive marketing: a customer journey perspective," Journal of research in interactive marketing, vol. 17, no. 5, pp. 663-680, 2023, doi: 10.1108/JRIM-12-2021-0317.
H. Jo and Y. Bang, "Navigating the omnichannel landscape: unraveling the antecedents of customer loyalty," Sage Open, vol. 14, no. 1, p. 21582440241233091, 2024, doi: 10.1177/21582440241233091.
M. Gao and L. Huang, "Quality of channel integration and customer loyalty in omnichannel retailing: The mediating role of customer engagement and relationship program receptiveness," Journal of Retailing and Consumer Services, vol. 63, p. 102688, 2021, doi: 10.1016/j.jretconser.2021.102688.
W. Gao, H. Fan, W. Li, and H. Wang, "Crafting the customer experience in omnichannel contexts: The role of channel integration," Journal of business research, vol. 126, pp. 12-22, 2021, doi: 10.1016/j.jbusres.2020.11.030.
M. G. Elmashhara, R. De Cicco, S. C. Silva, M. Hammerschmidt, and M. L. Silva, "How gamifying AI shapes customer motivation, engagement, and purchase behavior," Psychology & Marketing, vol. 41, no. 1, pp. 134-150, 2024, doi: 10.1002/mar.21962.
H. Jiang, Y. Cheng, J. Yang, and S. Gao, "AI-powered chatbot communication with customers: Dialogic interactions, satisfaction, engagement, and customer behavior," Computers in Human Behavior, vol. 134, p. 107329, 2022, doi: 10.1016/j.chb.2022.107329.
D. Kahneman, Thinking, fast and slow. macmillan, 2011. ISBN: 9780374533557
C. Gu, Y. Zhang, and L. Zeng, "Exploring the mechanism of sustained consumer trust in AI chatbots after service failures: a perspective based on attribution and CASA theories," Humanities and Social Sciences Communications, vol. 11, no. 1, pp. 1-12, 2024, doi: 10.1057/s41599-024-03879-5.
C. Hildebrand and A. Bergner, "Conversational robo advisors as surrogates of trust: onboarding experience, firm perception, and consumer financial decision making," Journal of the Academy of Marketing Science, vol. 49, no. 4, pp. 659-676, 2021, doi: 10.1007/s11747-020-00753-z.
C. Prentice, S. Dominique Lopes, and X. Wang, "The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty," Journal of Hospitality Marketing & Management, vol. 29, no. 7, pp. 739-756, 2020, doi: 10.1080/19368623.2020.1730866.
I. Khan et al., "Mobile app vs. desktop browser platforms: The relationships among customer engagement, experience, relationship quality and loyalty intention," Journal of Marketing Management, vol. 39, no. 3-4, pp. 275-297, 2023, doi: 10.1080/0267257X.2022.2106290.
T. P. Tran, J. E. Zemanek Jr, and M. N. Sakib, "Improving brand love through branded apps: is that possible?," Journal of Marketing Analytics, pp. 1-21, 2024, doi: 10.1007/s11621-024-00477-3.
T. Y. Chen, T. L. Yeh, H. L. Wu, and S. Deng, "Effect of channel integration quality on consumer responses within omni-channel retailing," Asia Pacific Journal of Marketing and Logistics, vol. 35, no. 1, pp. 149-173, 2023, doi: 10.1108/APJML-04-2021-0270.
F. Messaoudi and M. Loukili, "E-commerce personalized recommendations: a deep neural collaborative filtering approach," in Operations Research Forum, 2024, vol. 5, no. 1: Springer, p. 5, doi: 10.1007/s43069-023-00280-0.
S. D. Vivek, S. E. Beatty, and R. M. Morgan, "Customer engagement: Exploring customer relationships beyond purchase," Journal of marketing theory and practice, vol. 20, no. 2, pp. 122-146, 2012, doi: 10.2753/MTP1069-6679200201.
K. Bauman, A. Tuzhilin, and M. Unger, "Hypercars: Using hyperbolic embeddings for generating hierarchical contextual situations in context-aware recommender systems," Information Systems Research, vol. 36, no. 2, pp. 871-895, 2025, doi: 10.1287/isre.2023.1256.
C. Singh, M. K. Dash, R. Sahu, and A. Kumar, "Investigating the acceptance intentions of online shopping assistants in E-commerce interactions: Mediating role of trust and effects of consumer demographics," Heliyon, vol. 10, no. 3, 2024, doi: 10.1016/j.heliyon.2024.e25031.
L. Gao and J. Li, "E‐Commerce Personalized Recommendation Model Based on Semantic Sentiment," Mobile Information Systems, vol. 2022, no. 1, p. 7246802, 2022, doi: 10.1016/j.jretconser.2021.102688.
B. S. Al-Oraini, "Chatbot dynamics: trust, social presence and customer satisfaction in AI-driven services," Journal of Innovative Digital Transformation, 2025, doi: 10.1108/JIDT-08-2024-0022.
N. Cai, S. Gao, and J. Yan, "How the communication style of chatbots influences consumers’ satisfaction, trust, and engagement in the context of service failure," Humanities and Social Sciences Communications, vol. 11, no. 1, pp. 1-11, 2024, doi: 10.1057/s41599-024-03083-5.
M. Adam, M. Wessel, and A. Benlian, "AI-based chatbots in customer service and their effects on user compliance," Electronic markets, vol. 31, no. 2, pp. 427-445, 2021, doi: 10.1007/s12525-020-00414-7.
R. Esmeli, A. S. Can, A. Awad, and M. Bader-El-Den, "Understanding customer loyalty-aware recommender systems in E-commerce: an analytical perspective," Electronic Commerce Research, pp. 1-27, 2025, doi: 10.1007/s10660-024-09895-9.
C. Zhou, H. Li, L. Zhang, and Y. Ren, "Optimal recommendation strategies for AI-powered e-commerce platforms: a study of duopoly manufacturers and market competition," Journal of Theoretical and Applied Electronic Commerce Research, vol. 18, no. 2, pp. 1086-1106, 2023, doi: 10.3390/jtaer18020057.
L. Lambillotte, N. Magrofuoco, I. Poncin, and J. Vanderdonckt, "Enhancing playful customer experience with personalization," Journal of Retailing and Consumer Services, vol. 68, p. 103017, 2022, doi: 10.1016/j.jretconser.2022.103017.
I. Khan and M. Fatma, "AR app-based brand engagement and outcomes: A moderated mediation approach," Journal of Retailing and Consumer Services, vol. 76, p. 103618, 2024, doi: 10.1016/j.jretconser.2023.103618.
L. D. Hollebeek, M. K. Clark, T. W. Andreassen, V. Sigurdsson, and D. Smith, "Virtual reality through the customer journey: Framework and propositions," Journal of Retailing and Consumer Services, vol. 55, p. 102056, 2020, doi: 10.1016/j.jretconser.2020.102056.
A. Ranieri, I. Di Bernardo, and C. Mele, "Serving customers through chatbots: positive and negative effects on customer experience," Journal of Service Theory and Practice, vol. 34, no. 2, pp. 191-215, 2024, doi: 10.1108/JSTP-02-2023-0058.
J. Ziegler and T. Donkers, "From explanations to human-AI co-evolution: charting trajectories towards future user-centric AI," i-com, vol. 23, no. 2, pp. 263-272, 2024, doi: 10.1515/icom-2024-0020.