Paper Details

Name: Ilyas P A, Navdeep Kaur
Country: India

Year: 2025
Volume: Volume-12, Issue-2 (July-December)
Page Number: 422-430

Artificial Intelligence (AI) has increasingly been adopted in large-scale cultural destinations to improve crowd regulation, visitor safety, and operational performance during peak events. This study investigates how AI-powered crowd management systems contribute to organizational development and performance from the visitors’ perspective, using Katara Cultural Village, Qatar as the case setting. A quantitative research design was employed using a structured questionnaire administered to visitors attending cultural events at Katara. The study assessed key AI-driven strategies including predictive analytics, real-time crowd monitoring, automated crowd control alerts, and intelligent resource allocation. Findings indicate that visitors perceive AI-enabled crowd management as highly effective in reducing congestion, improving movement comfort, strengthening safety assurance, and enhancing service quality. Furthermore, the results suggest that positive visitor perceptions of AI-based crowd management significantly influence evaluations of organizational effectiveness and institutional image. The study highlights that AI technologies function not only as operational tools but also as strategic drivers that shape visitor satisfaction and destination credibility in cultural tourism contexts. Practical implications include the need for policymakers and destination managers to support ethical AI deployment through transparency, privacy safeguards, and public communication to sustain visitor trust. This visitor-centered study contributes to existing literature by linking AI crowd management directly to perceived organizational performance within a real cultural destination environment.
Keywords: Artificial Intelligence; Crowd Management; Visitor Perception; Organizational Performance; Katara Cultural Village