Cross-Sector Partnerships for SDG Achievement: Tourism–Business–AI Collaborations

Abstract

The achievement of Sustainable Development Goals (SDGs) increasingly depends on multi-actor collaborations across sectors. This study explores the integration of tourism, business, and artificial intelligence (AI) partnerships as a strategic pathway for SDG advancement. Drawing on cross-sector collaboration theory and public–private partnership literature, the paper develops a conceptual model identifying actors, mechanisms, and outcomes that enable SDG impact. Propositions highlight the roles of shared value creation, governance quality, data exchange, and tiered interventions in mediating and moderating partnership effectiveness. Implications for policymakers, tourism planners, AI firms, and academic researchers are discussed, emphasizing evidence-based decision-making, ethical technology deployment, and scalable strategies for sustainable development. This research provides a comprehensive, human-centered framework for leveraging AI-enhanced cross-sector partnerships to achieve global sustainability objectives.

Keywords: Cross-Sector Collaboration; Tourism; Artificial Intelligence; Sustainable Development Goals; Public–Private Partnerships; Governance; Shared Value Creation; Data-Driven Decision Making