AN AI-BASED FRAMEWORK FOR ALIGNING SERVICE PROCESSES AND RESOURCES IN BOUTIQUE HOTELS UNDER CONDITIONS OF AUTHENTICITY

The rapid advancement of artificial intelligence (AI) has created new opportunities for improving operational efficiency, service quality, and resource management in the hospitality industry. However, boutique hotels face distinctive challenges when adopting AI technologies because their competitive advantages are closely associated with authenticity, personalized guest experiences, cultural identity, and human interaction. This article proposes a conceptual AI-based framework for aligning service processes and organizational resources in boutique hotels while preserving their authentic characteristics. The study adopts a conceptual research approach that integrates hospitality management, service operations, resource-based theory, and AI-enabled decision support. The proposed framework incorporates five interconnected dimensions: authenticity preservation, intelligent service coordination, resource optimization, human–AI collaboration, and continuous performance evaluation. Particular attention is given to balancing technological efficiency with the preservation of local traditions, architectural heritage, personalized hospitality, and cultural experiences. The article argues that AI should function primarily as a supportive managerial instrument rather than a replacement for human-centered hospitality. The proposed framework provides a theoretical foundation for future empirical research and offers practical recommendations for boutique hotel managers seeking to implement AI technologies while preserving their distinctive identity.

Hali tarjima qilinmagan