Abstract

The fast path of smart tourism developments within the tourism and hospitality field clarifies the need to identify its intellectual structures and monitor its evolution. 43% of the articles ever published are from the last two years. An initial work, covering the papers published between 2008 and 2018, reveal five dimensions under a humanware approach: (i) smart technologies; (ii) smart ecosystems; (iii) value creation; (iv) tourism experience; and, (v) sharing economy. With this classification framework, the present work aims to identify emerging trends and future research paths using a scientometric analysis of smart tourism research from 2008 to 2020. The scientometric analysis was conducted over the 1321 papers referenced and retrieved from Web of Science and Google Scholar, narrowed to the 225 classified as tourism and hospitality. These articles were subject to content, citation and authorship analysis. The content analysis produced eight clusters that represent the main research streams. This result confirms the field's fast evolution path since two of these clusters emerged in the last three years. The twenty most cited articles were reviewed and classified under the humanware framework. The vast majority of the works are still related to smart ecosystems and technologies, unveiling the need to enrich knowledge related to the other streams and the tourism and hospitality response to Covid-19 supported by smart technologies.

Highlights

  • The fast evolutionary path undergone by technology has impact tourism in distinctive ways: change consumer expectations and behaviour, as well as industry and strategic management decisions (Koo, Park, & Lee, 2017)

  • The author claims that the step of this evolution will be Ambient Intelligence (AmI) Tourism, where individual and collective interests will be aligned to promote the optimization of collaborative performance and competitiveness

  • This new phase of AmI Tourism relies on new disruptive technologies adopted by brands to increase their co-creation capabilities and explore the "nowness" effects (Buhalis & Sinarta, 2019)

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Summary

Introduction

The fast evolutionary path undergone by technology has impact tourism in distinctive ways: change consumer expectations and behaviour, as well as industry and strategic management decisions (Koo, Park, & Lee, 2017). The initial work of Tiago et al (2019) identified five structural dimensions: (i) smart technologies; (ii) smart ecosystems; (iii) value creation; (iv) tourism experience; and (v) sharing economy. It needs to consider how tourists explore and adopt technology before, during, and posttravel and how the tourism and hospitality ecosystem can exploit it to promote personalized experiences

Results
Conclusion
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