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Digital Transformation and Vision 2030: A Pathway to Sustainable Tourism in Saudi Arabia

Authors: Ali Raza;

Digital Transformation and Vision 2030: A Pathway to Sustainable Tourism in Saudi Arabia

Abstract

This study explores the intersection of digital transformation and sustainable tourism within the framework of Saudi Arabia’s Vision 2030. As the Kingdom diversifies its economy and reduces its dependence on oil, tourism has emerged as a key sector for growth and development. Using a qualitative approach, this research examines how digital technologies, including innovative tourism platforms, data analytics, and digital infrastructure, are being leveraged to support sustainable tourism practices across the nation. Through semi-structured interviews, the study identifies critical drivers, opportunities, and challenges in the digitalisation of the tourism sector. Findings suggest that digital transformation is not only enhancing operational efficiency and visitor experiences but also contributing to environmental conservation, cultural preservation, and inclusive economic development. The paper concludes by emphasizing the strategic role of digital innovation in achieving the sustainability goals of Vision 2030. It offers policy recommendations for fostering a resilient and future-ready tourism industry in Saudi Arabia.

Keywords

Tourism sector, Digital transformation,, Saudi Arabia

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green