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    Artificial Intelligence and Cultural Tourism in Kenya: A Systematic Review of Development Opportunities and Challenges

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    Artificial Intelligence and Cultural Tourism in Kenya.pdf (208.4Kb)
    Date
    2025-06
    Author
    Rajwais, Julius Benard
    Rotich, Laban Kipkemoi
    Mapelu, Isabella
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    Abstract
    This paper presents a systematic review of the intersection between artificial intelligence (AI) and cultural tourism in Kenya, with a particular focus on the Mount Kenya region. It examines the potential of AI to enhance sustainable cultural tourism through digital heritage preservation, targeted marketing, and enriched visitor experiences. The study employs a qualitative systematic review methodology, analyzing peer-reviewed journal articles, policy documents, case studies, and global best practices relevant to AI applications in cultural tourism. Thematic analysis was used to identify recurring patterns, opportunities, and challenges. The findings reveal that AI holds considerable promise in addressing infrastructure gaps, enhancing inclusivity, and increasing the global visibility of Kenya’s cultural heritage. Nonetheless, inadequate policy frameworks, inadequate financial investment, and widespread digital illiteracy are among the substantial challenges that have persisted. This study has made recommendations on the formulation of a vigorous policy context, investing in digital capacity building, and promoting public-private partnerships (PPTS) to realize an enabling environment for AI-integrated cultural tourism in Kenya.
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    https://doi.org/10.37284/eajit.8.1.3181
    http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6793
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    • Journal Articles (THM) [128]

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