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.
Fields of Study & Subjects
AI in Service Interactions
Impact of AI and Big Data on Business and Society
Ethics and Social Impacts of AI
Publication details
- Journal / source
- International Journal of Applied Resilience and Sustainability
- Publisher
- Deep Science Publishing
- Volume
- 2
- Issue
- 1
- Pages
- 61–77
- Publication date
- 26 January 2026