AI-driven service quality and customer engagement: The mediating role of digital empathy and cognitive absorption
DOI:
https://doi.org/10.21831/jc.v23i1.94517Keywords:
AI-based quality of services, customer interaction, e-commerce, customer engagement, cognitive absorptionAbstract
The aim of this study is to investigate how AI-driven service quality (AISQ) influences customer engagement (CE) in the e-commerce industry in Pakistan. This study examines the mediation of digital empathy (DE) and cognitive absorption (CA). It concerns discovering how AI-driven service quality affects customer interactions through emotional and cognitive processes. Through an online survey, data were collected from 321 e-commerce clients in Pakistan. The current study used convenience sampling. A five-point questionnaire was used for data collection. The statistical tool SPSS 22.0 was used for correlation and regression analysis. The conceptual framework was built on the Technology Acceptance Model (TAM) and the Trust-Commitment Theory (TCT) to determine the association among AISQ, DE, CA, and CE. The proposed hypotheses and their mediation effects were tested using Structural Equation Modelling (SEM). The findings of the present study indicate that AISQ has a positive impact on CE. DE and CA play an important role in mediating this relationship. The results of this study show that when customers perceive AI-based services as empathetic and interesting, they are more likely to become engaged with an e-commerce platform. This paper is a contribution to the research on AI and customer behaviour, as it reveals that DE and CA are significant intermediate variables between AISQ and CE. The results are valuable to e-commerce leaders in Pakistan, helping them improve customer engagement and loyalty through emotive, compelling AI solutions.
References
Arefin, M. S., Ayshe, N. N., Alam, M. S., Sarkar, J. B., & Alam, M. F. (2025). Nurturing bonds: The essence of moral reasoning in linking relationship marketing orientation to customer value co-creation behavior through customer engagement. Journal of Global Marketing, 38(5), 531–552. https://doi.org/10.1080/08911762.2025.2492078
Atnan, N., Prajarto, N., & Kurnia, N. (2025). An analysis of social media management and the dominant aspects driving high-quality engagement: A case study of the Bandung City Government, Indonesia. Atlantic Journal of Communication. https://doi.org/10.1080/15456870.2025.2557231
Bagozzi, R. P., Gopinath, M., & Nyer, P. U. (1999). The role of emotions in marketing. Journal of the Academy of Marketing Science 1999 27:2, 27(2), 184–206. https://doi.org/10.1177/0092070399272005
Basu, B., Roy, S. K., & Apostolidis, C. (2025). Unveiling the charisma of artificial intelligence: how voice assistants captivate users and emotionally influence user experience. Psychology & Marketing, 42(9), 2334–2351. https://doi.org/10.1002/MAR.22233
Charles, V., Rana, N. P., & Jain, V. (2025). Marketing with anthropomorphised AI: insights from consumers. Journal of Consumer Marketing, 42(4), 410–415. https://doi.org/10.1108/JCM-03-2025-7704
Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Dwivedi, R., Dave, D., Naik, H., Singhal, S., Omer, R., Patel, P., Qian, B., Wen, Z., Shah, T., Morgan, G., & Ranjan, R. (2023). Explainable AI (XAI): Core ideas, techniques, and solutions. ACM Computing Surveys, 55(9). https://doi.org/10.1145/3561048/ASSET/8DA689DC-60AC-47FF-AC29-CA5F6CBCAA02/ASSETS/IMAGES/LARGE/CSUR-2021-0681-F21.JPG
Garaus, M., Treiblmaier, H., Wagner, U., & Garaus, C. (2025). Innovating the experience economy: How novel technologies transform customer experiences. Digital Business, 5(2), 100134. https://doi.org/10.1016/J.DIGBUS.2025.100134
Gong, T. (2025). Algorithmic management and gig workers: engagement, exhaustion and citizenship behavior. Management Decision, 1–22. https://doi.org/10.1108/MD-01-2025-0111/1278093/ALGORITHMIC-MANAGEMENT-AND-GIG-WORKERS-ENGAGEMENT
Hajar, R., Anas, M., & Hasnaa, G. (2025). The impact of artificial intelligence on customer engagement and loyalty: A Moroccan contextual study. 2025 16th International Conference on Logistics and Supply Chain Management (LOGISTIQUA), 1–7. https://doi.org/10.1109/LOGISTIQUA66323.2025.11122746
Huang, Y., Liu, H., Chi, M., Meng, S., & Wang, W. (2025). How digital therapeutic alliances influence the perceived helpfulness of online mental health Q&A: An explainable machine learning approach. Digital Health, 11. https://doi.org/10.1177/20552076251333480/ASSET/1CD84A69-3E10-4D06-8DEE-FE1A29226411/ASSETS/IMAGES/LARGE/10.1177_20552076251333480-FIG3.JPG
Hussain, W. (2025a). The impact of AI-generated brand personalities on consumer-brand relationship quality: The mediating role of emotional resonance. In Impacts of AI-generated content on brand reputation (pp. 221–238). IGI Publishing. https://doi.org/10.4018/979-8-3373-4327-3.ch009
Hussain, W. (2025b). The influence of ai-driven personalization on customer experiences: A case study of instagram. in strategic brand management in the age of AI and disruption . In Strategic brand management in the age of AI and disruption (pp. 379–410). IGI Global. https://doi.org/10.4018/979-8-3693-9461-8.ch016
Liao, C.-H. (2025). The role of virtual reality in enhancing behavioral empathy: exploring cognitive absorption, engagement, and emotional moderation using multivariate methods. Humanities and Social Sciences Communications, 12(1), 995. https://doi.org/10.1057/s41599-025-05334-5
Lim, W. M., Saha, V., & Das, M. (2025). From service failure to brand loyalty: evidence of service recovery paradox. Journal of Brand Management, 32(4), 257–281. https://doi.org/10.1057/S41262-025-00380-5/TABLES/1
Lopes, J. M., Gomes, S., Nogueira, E., & Trancoso, T. (2025). AI’s invisible touch: how effortless browsing shapes customer perception, experience and engagement in online retail. Cogent Business & Management, 12(1), 2440628. https://doi.org/10.1080/23311975.2024.2440628
Ma, X. U. (2024). Exploring the relationship of service quality and owner’s resident satisfaction of Airbnb application in Thailand: The mediating role of perceived value and owner engagement. Siam University.
Matos, M. A. de, Patrício, L., & Teixeira, J. G. (2025). The dual role of customer-citizen engagement for sustainability. Journal of Service Theory and Practice, 35(2), 196–219. https://doi.org/10.1108/JSTP-04-2023-0124
Monavvarifard, F., Baradaran, M., & Khosravipour, B. (2019). Increasing the sustainability level in agriculture and Natural Resources Universities of Iran through students’ engagement in the value Co-creation process. Journal of Cleaner Production, 234, 353–365. https://doi.org/10.1016/J.JCLEPRO.2019.06.175
Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20–38. https://doi.org/10.1177/002224299405800302
Mou, A. J., Rabbi, S. M., & Rainy, T. A. (2025). Strategic use of engagement marketing in digital platforms: A focused analysis of ROI and consumer psychology. Journal of Sustainable Development and Policy, 1(01), 170–197. https://doi.org/10.63125/HM96P734
Naderi, K., Moghaddasi, M., & shokri, A. (2022). Drought occurrence probability analysis using multivariate standardized drought index and copula function under climate change. Water Resources Management, 36(8), 2865–2888. https://doi.org/10.1007/S11269-022-03186-1/METRICS
Pandey, P. K., Dhaliwal, A., & Pandey, P. K. (2025). Convergence of online flow and AI-enabled services: the impact on awe experience in e-tail customer journeys. The International Review of Retail, Distribution and Consumer Research, 35(2), 209–236. https://doi.org/10.1080/09593969.2024.2374365
Pang, H., Hu, Z., & Wang, L. (2025). How perceived motivations influence user stickiness and sustainable engagement with ai-powered chatbots—unveiling the pivotal function of user attitude. Journal of Theoretical and Applied Electronic Commerce Research 2025, Vol. 20, Page 228, 20(3), 228. https://doi.org/10.3390/JTAER20030228
Pizzi, G., Matta, S., Caboni, F., & Stewart, D. W. (2025). Immersive and generative technology: New tools for marketing, new tools for consumer response. Psychology & Marketing, 42(12), 3236–3250. https://doi.org/10.1002/MAR.70036
Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, and Computers, 36(4), 717–731. https://doi.org/10.3758/BF03206553/METRICS
Priporas, C. V., Stylos, N., Vedanthachari, L. N., & Santiwatana, P. (2017). Service quality, satisfaction, and customer loyalty in Airbnb accommodation in Thailand. International Journal of Tourism Research, 19(6), 693–704. https://doi.org/10.1002/JTR.2141
Qi, L., Cho, M., & Ko, E. (2025). Emotional and functional values of generative AI in fashion: Effects on user satisfaction and continued use. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2025.2560517
Rahman, M. S., Sabbir, M. M., Zhang, J., & Zhang, L. (2025). I sense my digital assistants! Assessing the impact of customers’ immersive experience and perceived social presence on purchase intention. Behaviour & Information Technology.https://doi.org/10.1080/0144929X.2025.2490668
Somani, P. P., Behare, N., & Iyer, V. H. (2024). From purchase to metamorphosis. In Resiliency strategies for long-term business success (pp. 233–256). IGI Global. https://doi.org/10.4018/979-8-3693-9168-6.ch009
Wiyata, W., Md Zain, N. A., Asyraff, M. A., Anuar, F. I., & Hanafiah, M. H. (2025). From user engagement to app love: Investigating the antecedents and consequences of third-party travel app usage. Journal of Hospitality and Tourism Technology, 16(3), 565–587. https://doi.org/10.1108/JHTT-06-2024-0396
Yang, Q., Gong, X., & Yan, R. (2025). Effective use of peer-to-peer accommodation platform: the role of ICT service innovation and consumer engagement. Industrial Management & Data Systems, 125(6), 2206–2241. https://doi.org/10.1108/IMDS-10-2023-0776
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
Copyright (c) 2026 Jurnal Civics: Media Kajian Kewarganegaraan

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The authors agree to transfer the transfer copyright of the article to The Jurnal Civics: Media Kajian Kewarganegaraan effective if and when the paper is accepted for publication.
Authors and other parties are bound to the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License for the published articles, legal formal aspect of journal publication accessibility refers to Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA).





