How to enhance hotel guests’ acceptance and experience of smart hotel technology: An examination of visiting intentions

Yang, Huijun; Song, Hanqun; Cheung, Catherine; Guan, Jieqi

doi:10.1016/j.ijhm.2021.103000

Cited by 88 publications

(90 citation statements)

References 114 publications

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“…These themes are potentially emerging or disappearing themes. Management presents links with smart-hotel (e.g., Wu and Cheng 2018 ); the cluster network of technology presents links with service encounters, human–machine interaction, or hospitality technology (e.g., Yang et al 2021 ). Tourist experience is related to emotions, involvement, or identity, among other aspects (e.g., Leung and Wen 2021 ).…”

Section: Resultsmentioning

confidence: 99%

Mapping tourism and hospitality research on information and communication technology: a bibliometric and scientific approach

Collado

Gómez‐Rico

Σιγάλα

et al. 2022

Inf Technol Tourism

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Technology and information and communication technology (ICT) have been gaining importance in tourism and hospitality with a booming research interest during the last years and specifically recently due to the disruptions of the COVID-19 crisis. Hence it is useful to structure the existing knowledge in this field to better guide directions for future research. To that end, this study synthesizes the academic literature about ‘technology and ICT’ in tourism and hospitality by carrying out a bibliometric analysis. The study identified 2424 documents, including the words ‘technolog*’ and/or ‘ICT’ combined with ‘touris*’, ‘hospitality’, ‘hotel’, and/or ‘travel’ that were published in the period 1988–2021 and collected from tourism and hospitality journals indexed in the Web of Science (WOS) and SCOPUS databases. The analysis was carried out by using SciMAT software, which offers different bibliometric tools and methods in order to achieve consistent results through a keyword co-occurrence analysis and an evolution map. The findings revealed the major research themes, including technology acceptance model, electronic word-of-mouth, user-generated content, self-services technologies, robotics, smart tourism, virtual reality, and trust in technology. The study concludes by identifying and discussing a future research agenda.

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Section: Resultsmentioning

confidence: 99%

Mapping tourism and hospitality research on information and communication technology: a bibliometric and scientific approach

Collado

Gómez‐Rico

Σιγάλα

et al. 2022

Inf Technol Tourism

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“…Experience will recall it in a different way, but IP drives innovation in a proactive way, which embeds cognitive knowledge in further development of innovative ideas and the intention of TNA adoption. Performance Expectancy (PE) 1 Effort Expectancy (EE) 2 Social Influence (SI) 3 Facilitating Conditions (FC) 4 Hedonic Motivation (HM) 5 Price Value (PV) 6 Habit Behavior (HB) 7 Behavioural Intention 14…”

Section: -2-structural Model and Hypothesis Proposedmentioning

confidence: 99%

“…In regards to mobile applications, previous research has investigated mobile applications in various tourism and hospitality industries using a variety of theories, such as travel application booking using the Theory of Planned Behavior (TPB) [1] and smart hotel by using the Technology Acceptance Model (TAM) [2]. Other studies have used the UTAUT as a research model regarding the application of facial recognition systems (FRS) in quick-service restaurants [3].…”

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confidence: 99%

Factors Affecting SMEs' Intention to Adopt a Mobile Travel Application based on the Unified Theory of Acceptance and Use of Technology (UTAUT-2)

et al. 2022

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This study is part of a government research project which aims to synthesise the current evidence on the factors affecting the intention of mobile application adoption called ‘Tripper Notifier Application’ (TNA) for the hospitality and tourism industrial sector in Thailand. The focus is on small and medium enterprises (SMEs), which emphasize restaurants, hotels, and attraction sites. The present article examines various factors influencing the intention to use such applications by employing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) as the theoretical underpinning of this research paradigm. Using 84 selected research papers in Scopus published between 2020 and 2022, A thematic analysis incorporating a grounded theory approach to systematically generate themes was conducted, and the findings found three main themes, including business transformation capabilities (BTC), digital transformation capabilities (DTC), and personal innovativeness (PI), as an extension of UTAUT-2 as mediator and moderator variables. To this end, the study fills the research gaps and extends the UTAUT-2 framework by including an initiative of twelve inside attributes-based lines, including performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit behavior, behavioral intention, and use behavior, together with three moderators: age, gender, and experience. Finally, the context dimensions of the UTAUT-2 extensions were mapped to highlight all the constructs of the TNA adoption framework for future research directions. The novel contribution of this study is to fill the gap with both theoretical and practical knowledge. On the theoretical level, this study constitutes constructs based on UTAUT-2 theory as a research-based setting to fill a gap in research. On the practical level, it provides insights and information about new capabilities that SME owners, managers, and practitioners should consider in order to differentiate their own capabilities. Doi: 10.28991/esj-2021-SP1-014 Full Text: PDF

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“…The hotel sector is one of the most competitive. With the increase in supply and consequent growing demand from customers, it is necessary that this supply is differentiated, on the one hand through new products and new experience designs which are increasingly customized and sustainable, on the other through innovation [19,21] which can be translated by the introduction of robots and the smart hotel concept. A smart hotel can be defined as a hotel that adopts innovative technologies, being more independent of human employees, for the purpose of providing an outstanding customer experience and being highly distinguishable from other hotels due to the extreme degree of embeddedness of innovative technologies in the operation of the hotel [4].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Robot Coworkers: The Vision of Future Hoteliers

Carvalho

Lopes

Madeira

et al. 2022

Human Behavior and Emerging Technologies

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The purpose of this study is to understand how future employees in the hospitality and tourism industry envision the use of artificial intelligence in the organizations where they wish to work in the future. Through open-ended questions applied to undergraduate and master’s students in the area of tourism and hospitality, we capture their opinions when thinking about the partial or total use of robots in hospitality. Despite the increasing implementation of artificial intelligence in hospitality and tourism, existing research mainly focuses on current hoteliers and/or customers. However, anticipating how digital generations expect their future roles in a close engagement with robots allows researchers to predict and focus their attention on future problems. Their statements were subjected to a qualitative content analysis methodology, based on themes and sentiment. Participants expressed a negative view of the presence of robots in hospitality, mostly associated with a fear of job loss. Many also reported that interacting with robots is negative for both staff and customers due to robots’ lack of emotions. However, there is some division concerning the impact of robots on service quality: some believe that the service will be more efficient and with fewer failures; others believe that the limitations of robots will lead to worse service. The findings suggest that the acceptability and desirability of robotization may vary depending on the level of robotization in hotels, on the type of customer, and on the level of service provided.

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How to enhance hotel guests’ acceptance and experience of smart hotel technology: An examination of visiting intentions

Cited by 88 publications

References 114 publications

Mapping tourism and hospitality research on information and communication technology: a bibliometric and scientific approach

Mapping tourism and hospitality research on information and communication technology: a bibliometric and scientific approach

Factors Affecting SMEs' Intention to Adopt a Mobile Travel Application based on the Unified Theory of Acceptance and Use of Technology (UTAUT-2)

Robot Coworkers: The Vision of Future Hoteliers

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