LO-1: Evaluate strategic approaches to AI implementation in the hospitality industry by analyzing their alignment with business objectives, cultural contexts and ethical considerations. LO-2: Formulate a culturally sensitive technology strategy that balances innovation with traditional values using frameworks such as Hofstede’s Cultural Dimensions and the CAGE Distance Framework. LO-3: Develop a comprehensive change management strategy for digital transformation that addresses both organizational capabilities and potential resistance to technological change. LO-4: Analyze how emerging technologies can create sustainable competitive advantage through the lens of resource-based view and value discipline models. LO-5: Synthesize insights across strategic, cultural, and operational dimensions to solve complex business problems in cross-cultural contexts where technology and tradition intersect.
This case follows Bhoomija, an experienced hospitality consultant whose professional philosophy was profoundly shaped by her harrowing experience during the 2008 Mumbai terror attacks at the Taj Hotel. Now working in Saudi Arabia, the protagonist faces a critical decision regarding AI implementation for a flagship luxury resort on NEOM’s Sindalah Island, a showcase project under Saudi Arabia’s ambitious Vision 2030 initiative. The case opens with Bhoomija contemplating her recommendation due the following day, reflecting on how her past experiences inform her present dilemma about the appropriate role of technology in luxury hospitality. Her personal history is contrasted with Saudi Arabia’s technological ambitions, creating tension between traditional high-touch hospitality and cutting-edge innovation. The narrative explores Bhoomija’s journey from her roots in Rajasthan’s hospitality traditions through her formative experience during the Mumbai attacks, to her current role helping shape Saudi Arabia’s emerging hospitality sector. At the core of the case are three distinct strategic approaches Bhoomija has identified: comprehensive AI integration (maximizing technological touchpoints), a human-centered approach (minimizing visible technology) and “augmented hospitality” (a balanced hybrid model). Each approach reflects a different philosophy about hospitality’s essence and carries significant implications for guest experience, operational model and alignment with Saudi cultural values. The case details luxury hospitality’s traditional paradigm emphasizing human connection, contrasted with AI’s transformative potential through applications like personalization engines, predictive analytics and sentiment analysis. The case further explores the ethical dimensions of AI implementation in luxury hospitality, including data privacy concerns for ultra-high-net-worth individuals, algorithmic bias risks, workforce implications in Saudi Arabia’s developing economy and cultural considerations in technology deployment. The decision is framed not merely as a technological implementation choice but as a statement about hospitality’s future – particularly in emerging economies balancing technological ambition with cultural heritage. The case concludes with Bhoomija facing heightened stakes as she learns the Ministry of Tourism’s office will attend her presentation, underscoring how her recommendation will influence not just Sindalah’s future but potentially Saudi Arabia’s approach to hospitality innovation. Rich with exhibits providing industry data to facilitate analysis and discourse, the case invites analysis of how organizations can navigate digital transformation while preserving their essential cultural identity – a question relevant far beyond the hospitality sector to any industry where technology increasingly mediates human experiences.
Graduate/Post-graduate Level (particularly for MBA/Exec. MBA/Specialized Masters)
CSS12: Tourism and Hospitality.
