Tourism Review: Volume 77 Issue 4


Table of contents

Smart working in the travel agencies and employees’ quality of life

V.G. Girish, Jin-Young Lee, Choong-Ki Lee, Hossein Olya

This paper aims to understand the impact of smart working on employees’ quality of life. The service-dominant logic indicates that key actors, including employees, are…

Smart tourism technologies towards memorable experiences for museum visitors

Xinran Yang, Liaoniao Zhang

This study aims to investigate the perception of smart tourism technologies (STTs) in creating museum tourism experiences and assess visitors’ intentions to test the…

The indirect distribution dilemma: assessing the financial impact of participation in for hotels

Saddam Abdullah, Philippe Van Cauwenberge, Heidi Vander Bauwhede, Peter O’Connor

This study aims to assess if the benefits outweigh the costs of participation in online travel agencies (OTAs) such as

Automation and artificial intelligence in hospitality and tourism

Fauzia Jabeen, Sameera Al Zaidi, Maryam Hamad Al Dhaheri

This study aims to develop a framework to identify and prioritize the key factors in automation and artificial intelligence (AI) implementation in the hospitality and…


Technology acceptance before and after COVID-19: no-touch service from hotel robots

Lina Zhong, J. Andres Coca-Stefaniak, Alastair M. Morrison, Liyu Yang, Baolin Deng

This study aims to investigate the consumer acceptance of robots in hotels before and after COVID-19, with a specific emphasis on whether COVID-19 had a significant effect…


Consumers’ adoption of artificial intelligence and robotics in hospitality and tourism sector: literature review and future research agenda

Pooja Goel, Neeraj Kaushik, Brijesh Sivathanu, Rajasshrie Pillai, Jasper Vikas

The purpose of this study, a current systematic literature review, is to synthesize the extant literature on consumers’ adoption of artificial intelligence and robotics…


Effect of B&B host responses to online reviews on subsequent reviews: the moderating effects of class level

Tao Lan, Xiaodong Feng, Zhimin Zeng

This study aims to focus on understanding how the characteristics of the bed and breakfast (B&B) host responses to online reviews impact the subsequent business…

Value co-destruction and negative e-WOM behavior: the mediating role of tourist citizenship

Resat Arıca, Inci Polat, Cihan Cobanoglu, Abdülkadir Çorbacı, Po-Ju Chen, Meng-Jun Hsu

The purpose of the study is to examine the effect of value co-destruction on customer citizenship and negative electronic word of mouth (e-WOM) behaviors. In addition, the…

eWOM, destination preference and consumer involvement – a stimulus-organism-response (SOR) lens

Neha Yadav, Sanjeev Verma, Rekha D. Chikhalkar

This study aims to examine the moderated-mediation impact of consumer involvement and destination preference on travel intentions. Stimulus-Organism-Response (SOR) and…


Mobile-based value co-creation: contextual factors towards customer experiences

Sut Ieng Lei, Dan Wang, Rob Law

Collecting information from and interacting with customers through mobile platforms for personalization purposes have become a trend. While mobile-based value co-creation…

Travel app shopping on smartphones: understanding the success factors influencing in-app travel purchase intentions

Xin-Jean Lim, Jun-Hwa Cheah, Alastair M. Morrison, Siew Imm Ng, Siqi Wang

With the diffusion of innovation theory (DOI) and theory of planned behaviour (TPB) as the guiding theoretical perspectives, this research aims to identify the factors…

Tourist gaze through computer vision: where, what, how and why?

Kun Zhang, Hanqin Qiu, Jingyue Wang, Chunlin Li, Jinyi Zhang, Dora Dongzhi Chen

This paper aims to answer the following four research questions: Where do tourists gaze at the destination? What do tourists gaze at the destination? How do tourists gaze…

Tourists’ perceptions of urban space: a computer vision approach

Kun Zhang, Jinyi Zhang, Chunlin Li, Yan Jiao, Ying Wang

This study aims to conduct an empirical investigation of differing perceptions of nine types of urban space and nine visual elements among tourists in destination using a…

Harnessing social media to understand tourist mobility: the role of information technology and big data

Jinyan Chen, Susanne Becken, Bela Stantic

This paper aims to examine key parameters of scholarly context and geographic focus and provide an assessment of theoretical underpinnings of studies in the field of…

Identifying hidden semantic structures in Instagram data: a topic modelling comparison

Roman Egger, Joanne Yu

Intrigued by the methodological challenges emerging from text complexity, the purpose of this study is to evaluate the effectiveness of different topic modelling…

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  • Prof Dimitrios Buhalis