GAH-VC: A Generative AI-Driven Value Co-Creation Model for Hotel Accommodation in the Intelligent Hospitality Era

With the rapid development of Generative Artificial Intelligence (GAI) technology, the hotel accommodation industry is undergoing a profound transformation from digital services to intelligent value co-creation. Traditional hotel management models primarily rely on standardized service processes, while the emergence of generative AI enables hotels to achieve personalized content generation, real-time service response, intelligent decision support, and immersive accommodation experience innovation. However, existing research mainly focuses on the role of AI in improving hotel operational efficiency, lacking a systematic theoretical explanation of how generative AI restructures the hotel value creation mechanism. This paper proposes a Generative AI Hotel Value Co-Creation Model (GAH-VC) based on Service-Dominant Logic and value co-creation theory. This model posits that data resources, generative capabilities, human-machine collaboration, accommodation experience, and value feedback constitute the core elements of generative AI driving hotel value creation, achieving continuous optimization through an intelligent cyclical mechanism. This paper constructs the GAH-VC theoretical framework, analyzes its operational mechanism and application scenarios, providing theoretical basis and practical reference for hotel management innovation in the era of generative AI.