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Determinants of Technology Adoption in Tourism: Insights from a Systematic Literature Review

Yongjie Zhu

Year
2025
Citations
1

Abstract

The rapid development of modern technology due to the global pandemic has significantly reshaped the tourism industry, incorporating innovations such as QR codes, virtual reality (VR), robot services, and artificial intelligence (AI) to meet evolving customer expectations. The widespread availability of mobile internet and smart devices has further accelerated the adoption of these technologies, ensured safety and enhanced service efficiency. This study investigates the key factors influencing technology adoption in tourism, with emphasis on customer engagement, behavior, and perceived usefulness. Additionally, the study examines the intersection of tourism technology with niche markets such as adaptive diving for people with disabilities, sustainable marine tourism, and high-yield tourism highlighting the role of technology in fostering inclusivity and enhancing visitor experiences. Employing a Systematic Literature Review (SLR) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach, the research analyzes 23 studies across three phases: planning, implementation, and reporting. Beyond summarizing adoption determinants, this review emphasizes that technology adoption is also a pathway to inclusivity, sustainability, and resilience in tourism. Contactless and mobile technologies enhance accessibility for travelers with diverse needs, while digital tools reduce reliance on physical resources and support eco-friendly practices. Moreover, the integration of AI, VR, and other innovations equips the tourism sector to adapt more effectively to future disruptions. These insights position technology adoption not only as a functional necessity but also as a strategic enabler of a more inclusive, sustainable, and future-ready tourism industry.

Keywords

EnablingTourismSystematic reviewMobile technologyService (business)Service providerThe InternetCustomer engagementBridge (graph theory)

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