The Three-Dimensional Analytical Framework for Ethical Governance of AI-Enabled Information Systems in Hotels: A Systematic Review of Phasic Evolution, Mechanism Synergy, and Boundary Conditions
DOI:
https://doi.org/10.54691/ybnxke82Keywords:
AI ethics, AI-enabled information systems, IS governance, hospitality information systems, algorithmic fairness, systematic literature review.Abstract
While the use of information systems based on artificial intelligence or AI improves efficiency in the hospitality sector, it wields ethical concerns for algorithmic fairness, transparency, and accountability. Extant literature so far has mainly concentrated on technical applications, and there is still a lack of systematic discussions of the dynamic evolutionary mechanisms of the ethical governance of AI. Following the rules of the PRISMA, this paper performs a systematic literature review of 15 high-quality contributions, obtained from the Web of Science Core Collection (2021-2025). Using thematic analysis together with cross study triangulation, we derive a three-dimensional framework for AI ethical governance in hospitality. This framework embeds phasic evolution (design-pilot-scaling-institutionalization), mechanisms of governance (data governance, touching boundary spanning networks, and reflective learning), and usages of context (boundary condition). The study identifies four key findings, namely the threshold effects of value alignment; the inverted U-shaped relationship of stakeholder engagement; the centrality of an error tolerant culture as key to iterative piloting and that data governance is the foundation of it. By combining Diffusion of Innovations, Sociotechnical Systems, and Organizational Learning theories, this research adds: Theoretical content to the Information Systems (IS) governance research field, and A phased implementation roadmap for managers of the hospitality industry facing ethical challenges in Artificial Intelligence (AI).
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