Enhancing Customer Service Through Modern IT Infrastructure: A Thematic Analysis of Recent Research
DOI:
https://doi.org/10.66108/mna.v5i02.116Keywords:
Information Technology Infrastructure, Customer Service, Artificial Intelligence, Customer Relationship Management, Digital PlatformsAbstract
Outdated information technology (IT) infrastructures are one of the constraints affecting organization to provide responsive and consistent customer service if customer satisfaction is falling. To aid strategic decision-making about infrastructure modernization, this study investigates the contribution of modern IT infrastructure to improvement of customer service performance. A Systematic Literature Review (SLR) was conducted using a multi-stage screening process that initially identified approximately 1,877 records and ultimately retained ten recent peer-reviewed studies (2023–2026) that directly examined the relationship between IT infrastructure capabilities and customer service outcomes. The analysis provides three main infrastructure capabilities associated with the enhanced service performance, including customer relationship management (CRM) systems as the main platform to manage the interaction with customers, artificial intelligence (AI)-powered service automation and analytics, and integrated digital infrastructure facilitating the interoperability and omnichannel interaction. These skills enable companies to automate the interactions involved in the basic services, use customer data to generate insights, and arrange the communication flowing between parts of the service. These results indicate that the enhancement of customer service is highest when the technologies are used in an integrated IT infrastructure as opposed to just single technologies. On the basis of the study, the authors make strategic recommendations for organizations who want to make the service more responsive, data-driven, and customer experience-focused to optimize their IT infrastructure.
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Zhang, L., Wu, L., Huang, L., & Zhang, Y. (2021). Wield the Power of Omni-channel Retailing Strategy: a Capability and Supply Chain Resilience Perspective. Journal of Strategic Marketing, 33(3), 416–440. https://doi.org/10.1080/0965254x.2021.1972440
Blümel, J. H., Zaki, M., & Bohné, T. (2023). Personal touch in digital customer service: a conceptual framework of relational personalization for conversational AI. Journal of Service Theory and Practice, 34(1), 33–65. https://doi.org/10.1108/jstp-03-2023-0098
Barile, D., Secundo, G., & Del Vecchio, P. (2025). Discovering the phygital customer experience: which digital technologies influence leading companies’ processes? European Journal of Innovation Management, 28(10), 5078–5103. https://doi.org/10.1108/ejim-08-2024-0887
Demirel, D. (2022). THE EFFECT OF SERVICE QUALITY ON CUSTOMER SATISFACTION IN DIGITAL AGE: CUSTOMER SATISFACTION BASED EXAMINATION OF DIGITAL CRM. Journal of Business Economics and Management, 23(3), 507–531. https://doi.org/10.3846/jbem.2022.15328
Manser Payne, E. H., Dahl, A. J., & Peltier, J. (2021). Digital servitization value co-creation framework for AI services: a research agenda for digital transformation in financial service ecosystems. Journal of Research in Interactive Marketing, 15(2), 200–222. https://doi.org/10.1108/jrim-12-2020-0252
Arora, A. (2025). Enhancing Customer Experience across Multiple Business Domains using Artificial Intelligence. https://doi.org/10.2139/ssrn.5268178
Rane, N. (2023). Enhancing Customer Loyalty through Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies: Improving Customer Satisfaction, Engagement, Relationship, and Experience. https://doi.org/10.2139/ssrn.4616051
Rabetino, R., Kohtamäki, M., & Huikkola, T. (2023). Digital service innovation (DSI): a multidisciplinary (re)view of its origins and progress using bibliometric and text mining methods. Journal of Service Management, 35(2), 176–201. https://doi.org/10.1108/josm-12-2022-0375
Lenuwat, P., & Boon-itt, S. (2021). Information technology management and service performance management capabilities: an empirical study of the service supply chain management process. Journal of Advances in Management Research, 19(1), 55–77. https://doi.org/10.1108/jamr-01-2021-0039
Joshi, A., Benitez, J., Huygh, T., Ruiz, L., & De Haes, S. (2022). Impact of IT governance process capability on business performance: Theory and empirical evidence. Decision Support Systems, 153, 113668. https://doi.org/10.1016/j.dss.2021.113668
Kitchenham, B., Pearl Brereton, O., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering – A systematic literature review. Information and Software Technology, 51(1), 7–15. https://doi.org/10.1016/j.infsof.2008.09.009
Reinartz, W. J. (2026). Customer Relationship Management: Past, Present, and Future. International Journal of Research in Marketing, 43(1), 8–27. https://doi.org/10.1016/j.ijresmar.2025.12.001
Yoo, J. W., Park, J., & Park, H. (2024). The impact of AI-enabled CRM systems on organizational competitive advantage: A mixed-method approach using BERTopic and PLS-SEM. Heliyon, 10(16), e36392. https://doi.org/10.1016/j.heliyon.2024.e36392
Ledro, C., Nosella, A., Vinelli, A., Dalla Pozza, I., & Souverain, T. (2025). Artificial intelligence in customer relationship management: A systematic framework for a successful integration. Journal of Business Research, 199, 115531. https://doi.org/10.1016/j.jbusres.2025.115531
Peruchini, M., da Silva, G. M., & Teixeira, J. M. (2024). Between artificial intelligence and customer experience: a literature review on the intersection. Discover Artificial Intelligence, 4(1). https://doi.org/10.1007/s44163-024-00105-8
Chinekwu Somtochukwu Odionu, Bernadette Bristol-Alagbariya, & Richard Okon. (2024). Big data analytics for customer relationship management: Enhancing engagement and retention strategies. International Journal of Scholarly Research in Science and Technology, 5(2), 050–067. https://doi.org/10.56781/ijsrst.2024.5.2.0039
Tian, Y., & Wang, W. (2025). Enhance Customer Experience in the Digital Economy with Advanced Neural Network Technology and Big Data Analytics. Procedia Computer Science, 262, 296–304. https://doi.org/10.1016/j.procs.2025.05.056
Mangipudi, P. (2025). AI POWERED CHATBOTS VS HUMAN AGENTS, A COMPATIBLE STUDY ON CUSTOMER SATISFACTION. International Journal of Computer Engineering and Technology, 16(2), 11–36. https://doi.org/10.34218/ijcet_16_02_002
Nilashi, M., Abumalloh, R. A., Ahmadi, H., Samad, S., Alrizq, M., Abosaq, H., & Alghamdi, A. (2023). The nexus between quality of customer relationship management systems and customers’ satisfaction: Evidence from online customers’ reviews. Heliyon, 9(11), e21828. https://doi.org/10.1016/j.heliyon.2023.e21828
Yaman, T. T., & Mastorakis, N. (2026). From Infrastructure to Impact: Modeling the Path from AI-Enabled CRM to Customer Loyalty in B2B Firms. Wseas Transactions on Information Science and Applications, 144. https://doi.org/10.37394/23209.2026.23.12
Alnofeli, K. K., Akter, S., & Yanamandram, V. (2025). Unlocking the power of AI in CRM: A comprehensive multidimensional exploration. Journal of Innovation &Amp; Knowledge, 10(3), 100731. https://doi.org/10.1016/j.jik.2025.100731
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Copyright (c) 2026 Maryam Almusallam
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