Artificial Intelligence and Robots in Nigeria’s Hospitality Sector: Factors Affecting Adoption and Implications

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AI-generated summary by claude@2026-07, 2026-07-14

This paper identifies cost, infrastructure, local capacity, privacy, and human interaction acceptance as key constraints on AI and robot adoption in Nigeria's hospitality sector.

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Abstract

This paper synthesizes evidence on how artificial intelligence (AI) and service robots may be adopted in Nigeria’s hospitality sector and the key factors that should be evaluated before large-scale deployment. Using a structured review approach, we searched hospitality and tourism scholarship and relevant institutional reports with keywords covering AI, robotics, service automation, hotels, and Nigeria. Twenty-six records were identified and screened; fourteen sources met the eligibility criteria for thematic synthesis. The review indicates that while AI-enabled applications such as chatbots, self-service check-in, smart room systems, and robotic cleaning are technically feasible, adoption in Nigeria is likely to be constrained by enabling conditions: acquisition and lifecycle costs, unreliable power supply and connectivity, limited local maintenance capacity, data governance and privacy concerns, and employee and guest acceptance in a service culture that values human interaction. Drawing on technology acceptance and diffusion perspectives, the study proposes a conceptual framework linking perceived value, organizational readiness, and the external environment to adoption outcomes. The paper contributes a Nigeria-focused adoption lens and practical recommendations for phased, hybrid human–technology service designs that protect service quality while strengthening skills and infrastructure.

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europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-28T02:00:01.590549+00:00
License: CC-BY-4.0