Responsible artificial intelligence in sustainable business: Enhancing customer relationships and loyalty
Abstract
Vast expansion of artificial intelligence technologies is a challenge and offers sustainable business with transformational opportunities and challenges. Although there are growing trends toward the use of AI systems in organizations to improve the efficiency of operations and interaction with customers, these concerns have critical issues about the possibility of bias in algorithms, the use of data, environmental effects, and the trust of stakeholders that are not appropriately addressed. The study explores the role played by responsible AI implementation as a part of sustainability systems duo in affecting customer relationship management and loyalty in modern business contexts. Using the mixed-methods concept, we interviewed customers and business managers in the sector of technology, retail, and financial services in 2024-2025. We utilized the structural equation modeling and partial least squares analysis in order to examine the mediating influence of trust, perceived transparency, and environmental consciousness in the association of responsible AI practice and customer loyalty. Evidence reveals that customer trust under the condition of responsible implementation of AI is greatly improved (β = 0.782, p < 0.001), and it, in turn, transforms into customer loyalty (β = 0.694, p < 0.001). This relationship is mediated by the environmental sustainability practices (β = 0.456, p < 0.001), and the results show that customers, on the one hand, are 34% more loyal to companies that show commitment to both AI ethics and environmental performance. The given research adds theoretical accounts connecting responsible AI governance to relationship marketing theory and outlines practical implications to be considered in the case of organizations gaining competitive advantage generating through the use of ethical technology. Implications. The incorporation of AI responsibility principles and sustainability strategies shows some synergistic effects that increase customer relationships and organizational resiliency significantly.
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References
[1] Kumar D, Ratten V. Artificial intelligence and family businesses: a systematic literature review. Journal of Family Business Management. 2025 Apr 17;15(2):373-92. https://doi.org/10.1108/JFBM-08-2024-0160
[2] Enholm IM, Papagiannidis E, Mikalef P, Krogstie J. Artificial intelligence and business value: A literature review. Information systems frontiers. 2022 Oct;24(5):1709-34. https://doi.org/10.1007/s10796-021-10186-w
[3] Bolton C, Machová V, Kovacova M, Valaskova K. The power of human-machine collaboration: Artificial intelligence, business automation, and the smart economy. Economics, Management, and Financial Markets. 2018 Dec 1;13(4):51-6. https://doi.org/10.22381/EMFM13420184
[4] Maiti M, Kayal P, Vujko A. A study on ethical implications of artificial intelligence adoption in business: challenges and best practices. Future Business Journal. 2025 Mar 13;11(1):34. https://doi.org/10.1186/s43093-025-00462-5
[5] Brynjolfsson E, Mcafee AN. The business of artificial intelligence. Harvard business review. 2017 Jul 18;7(1):1-2.
[6] Mumtaz S, Carmichael J, Weiss M, Nimon-Peters A. Ethical use of artificial intelligence based tools in higher education: are future business leaders ready?. Education and Information Technologies. 2025 Apr;30(6):7293-319. https://doi.org/10.1007/s10639-024-13099-8
[7] Wang S, Zhang H. Leveraging generative artificial intelligence for sustainable business model innovation in production systems. International Journal of Production Research. 2025 Apr 2:1-26.
[8] López-Solís O, Luzuriaga-Jaramillo A, Bedoya-Jara M, Naranjo-Santamaría J, Bonilla-Jurado D, Acosta-Vargas P. Effect of generative artificial intelligence on strategic decision-making in entrepreneurial business initiatives: A systematic literature review. Administrative Sciences. 2025 Feb 18;15(2):66. https://doi.org/10.3390/admsci15020066
[9] Loureiro SM, Guerreiro J, Tussyadiah I. Artificial intelligence in business: State of the art and future research agenda. Journal of business research. 2021 May 1;129:911-26. https://doi.org/10.1016/j.jbusres.2020.11.001
[10] Dirican C. The impacts of robotics, artificial intelligence on business and economics. Procedia-social and behavioral sciences. 2015 Jul 3;195:564-73. https://doi.org/10.1016/j.sbspro.2015.06.134
[11] Tingelhoff F, Brugger M, Leimeister JM. A guide for structured literature reviews in business research: The state-of-the-art and how to integrate generative artificial intelligence. Journal of Information Technology. 2025 Mar;40(1):77-99. https://doi.org/10.1177/02683962241304105
[12] Qin C, Zhang L, Cheng Y, Zha R, Shen D, Zhang Q, Chen X, Sun Y, Zhu C, Zhu H, Xiong H. A comprehensive survey of artificial intelligence techniques for talent analytics. Proceedings of the IEEE. 2025 Jun 6. https://doi.org/10.1109/JPROC.2025.3572744
[13] Secundo G, Spilotro C, Gast J, Corvello V. The transformative power of artificial intelligence within innovation ecosystems: a review and a conceptual framework. Review of Managerial Science. 2025 Sep;19(9):2697-728. https://doi.org/10.1007/s11846-024-00828-z
[14] Sestino A, De Mauro A. Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management. 2022 Jan 2;34(1):16-29. https://doi.org/10.1080/09537325.2021.1883583
[15] Ruiz-Real JL, Uribe-Toril J, Arriaza Torres JA, de Pablo Valenciano J. Artificial intelligence in business and economics research: Trends and future. Business Economics and Management (JBEM). 2021;22(1):98-117. https://doi.org/10.3846/jbem.2020.13641
[16] Yang S, Hussain M, Ammar Zahid RM, Maqsood US. The role of artificial intelligence in corporate digital strategies: evidence from China. Kybernetes. 2025 Mar 19;54(5):3062-82. https://doi.org/10.1108/K-08-2023-1583
[17] Quan XI, Sanderson J. Understanding the artificial intelligence business ecosystem. IEEE Engineering Management Review. 2018 Nov 20;46(4):22-5. https://doi.org/10.1109/EMR.2018.2882430
[18] Naim A. Role of artificial intelligence in business risk management. American Journal of Business Management, Economics, and Banking. 2022 Jun;1:55-66.
[19] Chen L, Jiang M, Jia F, Liu G. Artificial intelligence adoption in business-to-business marketing: toward a conceptual framework. Journal of Business & Industrial Marketing. 2022 Apr 15;37(5):1025-44. https://doi.org/10.1108/JBIM-09-2020-0448
[20] Soni N, Sharma EK, Singh N, Kapoor A. Artificial intelligence in business: from research and innovation to market deployment. Procedia Computer Science. 2020 Jan 1;167:2200-10. https://doi.org/10.1016/j.procs.2020.03.272
[21] Canhoto AI, Clear F. Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons. 2020 Mar 1;63(2):183-93. https://doi.org/10.1016/j.bushor.2019.11.003
[22] Perifanis NA, Kitsios F. Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review. Information. 2023 Feb 2;14(2):85. https://doi.org/10.3390/info14020085
[23] Feuerriegel S, Shrestha YR, von Krogh G, Zhang C. Bringing artificial intelligence to business management. Nature Machine Intelligence. 2022 Jul;4(7):611-3. https://doi.org/10.1038/s42256-022-00512-5
[24] Varriale V, Cammarano A, Michelino F, Caputo M. Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems. Journal of Intelligent Manufacturing. 2025 Jan;36(1):61-93. https://doi.org/10.1007/s10845-023-02244-8
[25] Han R, Lam HK, Zhan Y, Wang Y, Dwivedi YK, Tan KH. Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions. Industrial Management & Data Systems. 2021 Nov 10;121(12):2467-97. https://doi.org/10.1108/IMDS-05-2021-0300
[26] Chu SC, Yim MY, Mundel J. Artificial intelligence, virtual and augmented reality, social media, online reviews, and influencers: a review of how service businesses use promotional devices and future research directions. International Journal of Advertising. 2025 Jul 4;44(5):798-828. https://doi.org/10.1080/02650487.2024.2325835
[27] Kim H, So KK, Shin S, Li J. Artificial intelligence in hospitality and tourism: Insights from industry practices, research literature, and expert opinions. Journal of Hospitality & Tourism Research. 2025 Feb;49(2):366-85. https://doi.org/10.1177/10963480241229235
[28] Porkodi S, Cedro TL. The ethical role of generative artificial intelligence in modern HR decision-making: A systematic literature review. European Journal of Business and Management Research. 2025 Jan 23;10(1):44-55. https://doi.org/10.24018/ejbmr.2025.10.1.2535
[29] Bevilacqua S, Masárová J, Perotti FA, Ferraris A. Enhancing top managers' leadership with artificial intelligence: insights from a systematic literature review. Review of Managerial Science. 2025 Jan 22:1-37.
[30] Singh N, Chouhan SS. Role of artificial intelligence for development of intelligent business systems. In2021 IEEE International Symposium on Smart Electronic Systems (iSES) 2021 Dec 18 (pp. 373-377). IEEE. https://doi.org/10.1109/iSES52644.2021.00092
[31] Chen Y, Biswas MI, Talukder MS. The role of artificial intelligence in effective business operations during COVID-19. International Journal of Emerging Markets. 2023 Dec 12;18(12):6368-87. https://doi.org/10.1108/IJOEM-11-2021-1666
[32] Wang Z, Li M, Lu J, Cheng X. Business Innovation based on artificial intelligence and Blockchain technology. Information Processing & Management. 2022 Jan 1;59(1):102759. https://doi.org/10.1016/j.ipm.2021.102759
[33] Lee J, Suh T, Roy D, Baucus M. Emerging technology and business model innovation: the case of artificial intelligence. Journal of Open Innovation: Technology, Market, and Complexity. 2019 Sep 1;5(3):44. https://doi.org/10.3390/joitmc5030044
[34] Gong Q, Fan D, Bartram T. Integrating artificial intelligence and human resource management: a review and future research agenda. The International Journal of Human Resource Management. 2025 Jan 2;36(1):103-41. https://doi.org/10.1080/09585192.2024.2440065
[35] Zulaikha S, Mohamed H, Kurniawati M, Rusgianto S, Rusmita SA. Customer predictive analytics using artificial intelligence. The Singapore Economic Review. 2025 Jun 6;70(04):1009-20. https://doi.org/10.1142/S0217590820480021
[36] Khan SA, Sheikh AA, Shamsi IR, Yu Z. The implications of artificial intelligence for small and medium-sized enterprises' sustainable development in the areas of blockchain technology, supply chain resilience, and closed-loop supply chains. Sustainability. 2025 Jan 4;17(1):334. https://doi.org/10.3390/su17010334
[37] Naz H, Kashif M. Artificial intelligence and predictive marketing: an ethical framework from managers' perspective. Spanish Journal of Marketing-ESIC. 2025 Jan 2;29(1):22-45. https://doi.org/10.1108/SJME-06-2023-0154
[38] Saxena M, Mishra DK. Artificial intelligence: the way ahead for employee engagement in corporate India. Global Knowledge, Memory and Communication. 2025 Jan 13;74(1/2):111-27. https://doi.org/10.1108/GKMC-09-2022-0215
[39] Ghimire A, Thapa S, Jha AK, Adhikari S, Kumar A. Accelerating business growth with big data and artificial intelligence. In2020 fourth international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) 2020 Oct 7 (pp. 441-448). IEEE. https://doi.org/10.1109/I-SMAC49090.2020.9243318
[40] Wright SA, Schultz AE. The rising tide of artificial intelligence and business automation: Developing an ethical framework. Business Horizons. 2018 Nov 1;61(6):823-32. https://doi.org/10.1016/j.bushor.2018.07.001
[41] Soni N, Sharma EK, Singh N, Kapoor A. Impact of artificial intelligence on businesses: from research, innovation, market deployment to future shifts in business models. arXiv preprint arXiv:1905.02092. 2019 May 3.
[42] Pallathadka H, Ramirez-Asis EH, Loli-Poma TP, Kaliyaperumal K, Ventayen RJ, Naved M. Applications of artificial intelligence in business management, e-commerce and finance. Materials Today: Proceedings. 2023 Jan 1;80:2610-3. https://doi.org/10.1016/j.matpr.2021.06.419
[43] Carter D. How real is the impact of artificial intelligence? The business information survey 2018. Business Information Review. 2018 Sep;35(3):99-115. https://doi.org/10.1177/0266382118790150
[44] Sipola J, Saunila M, Ukko J. Adopting artificial intelligence in sustainable business. Journal of Cleaner Production. 2023 Nov 10;426:139197. https://doi.org/10.1016/j.jclepro.2023.139197
[45] Getchell KM, Carradini S, Cardon PW, Fleischmann C, Ma H, Aritz J, Stapp J. Artificial intelligence in business communication: The changing landscape of research and teaching. Business and Professional Communication Quarterly. 2022 Mar;85(1):7-33. https://doi.org/10.1177/23294906221074311
[46] Paramesha M, Rane N, Rane J. Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence. Artificial Intelligence, Machine Learning, Internet of Things, and Blockchain for Enhanced Business Intelligence (June 6, 2024). 2024 Jun 6. https://doi.org/10.2139/ssrn.4855856
[47] Reim W, Åström J, Eriksson O. Implementation of artificial intelligence (AI): a roadmap for business model innovation. Ai. 2020 May 3;1(2):11. https://doi.org/10.3390/ai1020011
[48] Wang X, Lin X, Shao B. How does artificial intelligence create business agility? Evidence from chatbots. International journal of information management. 2022 Oct 1;66:102535. https://doi.org/10.1016/j.ijinfomgt.2022.102535
[49] Swan M. Blockchain for business: Next-generation enterprise artificial intelligence systems. InAdvances in computers 2018 Jan 1 (Vol. 111, pp. 121-162). Elsevier. https://doi.org/10.1016/bs.adcom.2018.03.013
[50] Sollosy M, McInerney M. Artificial intelligence and business education: What should be taught. The International Journal of Management Education. 2022 Nov 1;20(3):100720. https://doi.org/10.1016/j.ijme.2022.100720
[51] Goralski MA, Tan TK. Artificial intelligence and sustainable development. The International Journal of Management Education. 2020 Mar 1;18(1):100330. https://doi.org/10.1016/j.ijme.2019.100330
[52] William P, Panicker A, Falah A, Hussain A, Shrivastava A, Khan AK. The Emergence of Artificial Intelligence and Machine Learning in Contemporary Business Management. In2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM) 2023 Dec 12 (pp. 1-6). IEEE. https://doi.org/10.1109/ICCAKM58659.2023.10449493
[53] Rane NL, Paramesha M, Choudhary SP, Rane J. Artificial intelligence, machine learning, and deep learning for advanced business strategies: a review. Partners Universal International Innovation Journal. 2024 Jun 25;2(3):147-71. https://doi.org/10.2139/ssrn.4835661
[54] Doshi AR, Bell JJ, Mirzayev E, Vanneste BS. Generative artificial intelligence and evaluating strategic decisions. Strategic Management Journal. 2025 Mar;46(3):583-610. https://doi.org/10.1002/smj.3677
[55] Horani OM, Al-Adwan AS, Yaseen H, Hmoud H, Al-Rahmi WM, Alkhalifah A. The critical determinants impacting artificial intelligence adoption at the organizational level. Information Development. 2025 Sep;41(3):1055-79. https://doi.org/10.1177/02666669231166889
[56] Menzies J, Sabert B, Hassan R, Mensah PK. Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice. Thunderbird International Business Review. 2024 Mar;66(2):185-200. https://doi.org/10.1002/tie.22370
[57] Kulkov I. The role of artificial intelligence in business transformation: A case of pharmaceutical companies. Technology in Society. 2021 Aug 1;66:101629. https://doi.org/10.1016/j.techsoc.2021.101629
[58] Rajagopal NK, Qureshi NI, Durga S, Ramirez Asis EH, Huerta Soto RM, Gupta SK, Deepak S. Future of business culture: An artificial intelligence‐driven digital framework for organization decision‐making process. Complexity. 2022;2022(1):7796507. https://doi.org/10.1155/2022/7796507
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