Authors - Anubrata Dhar Chaudhuri, Raj Chakraborty Abstract - The hospitality sector faces increasing pressure to integrate sustainability into operations while maintaining high productivity. Green Human Re-source Management (GHRM) practices have proven to enhance employee engagement and promote eco-friendly organizational citizenship behavior. How-ever, traditional GHRM frameworks lack the digital, real-time analytics needed to respond dynamically to workforce changes and sustainability goals. This research work proposes the AI-GHRM Integration Model (AGIM), a novel conceptual framework that extends the classical Stimulus-Organism-Response (SOR) paradigm into a dynamic feedback loop powered by artificial intelligence (AI). AGIM consists of a multi-layered architecture incorporating AI-based predictive analytics for attrition and engagement forecasting, NLP-driven sentiment analysis of employee well-being, IoT-enabled automation of sustainability compliance, and privacy-preserving security mechanisms. This paper outlines the AGIM conceptual model, compares its dimensions with traditional GHRM, and presents a hypothesis matrix linking AI-powered interventions to employee and sustainability outcomes. A mixed-method research methodology is discussed, blending qualitative case studies with quantitative analytics. Use case scenarios illustrate AGIM’s implementation phases in a hotel setting. The discussion highlights theoretical contributions (extending SOR with AI feed-back) and practical implications for business information systems in “smart secure systems”. Future work includes empirical validation and expansion to other service industries.
