Abstract

In recent decades, smart tourism has been attracting attention from practitioners and scholars. The current study used multiple analysis methods to conduct a systematic review of 124 related articles on smart tourism. Qualitative analysis was conducted to identify 10 categories of smart tourism articles. Results showed that the largest proportion focus on the influence of technology on tourists’ perceptions, behaviors, and experiences. Co-occurrence analysis was performed to investigate the development trend of keywords used by academics in the last five years, while co-authorship (country) analysis was conducted to examine the collaborative relationship between different countries. The research regions, industries, methods, and theories applied in these articles were also analyzed. Theoretical and practical/managerial implications, as well as future research directions, were provided.

Highlights

  • The advancement of information and communication technologies (ICTs) in general, and cloud computing technologies in particular, motivates tourism destination governments and practitioners to leverage smart technologies to optimize their decision making in business planning and enhance the tourist experience

  • The current study conducted a systematic review of the pertinent literature on smart tourism

  • We contributed to the extant literature by offering an up-to-date holistic picture and identified the historic trend, themes, regions, theories, methodologies, and industrial applications

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Summary

Introduction

The advancement of information and communication technologies (ICTs) in general, and cloud computing technologies in particular, motivates tourism destination governments and practitioners to leverage smart technologies to optimize their decision making in business planning and enhance the tourist experience. The prevalence of Internet of Things (IoT), mobile applications (apps), location-based services, geo-tag services, Virtual Reality (VR), Augmented Reality (AR), social media, and smart devices offers immense opportunities for tourism stakeholders to generate, store, and retrieve big data that serve various purposes. Examples of these applications include tourist experience enhancement, destination competitiveness, and sustainability improvement [4,5,6]. Governments, such as in the U.S, Mainland China, and South Korea, have been taking initiatives to build the prerequisite infrastructure and develop the necessary technologies to support smart tourism development [2,4]. Since the release of the guide, local governments in Mainland China have followed suit with promotional campaigns on smart tourism [8]

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