2021
DOI: 10.1007/s10796-021-10207-8
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Exploring the Attractiveness of Service Robots in the Hospitality Industry: Analysis of Online Reviews

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Cited by 20 publications
(21 citation statements)
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“…In the past, service hospitality studies have used the comments of online booking platforms for human–robot interaction analysis. For example, Çakar and Aykol (2021) used the comments of TripAdvisor for analysis, Tung and Au (2018) collected the user comments of TripAdvisor, Agoda, Yelp, and Booking.com , while Park et al (2021) collected reviews from Chinese customer review platform Dazhongdianping. The second step was to screen out the hotels that mentioned “robot” or “robot waiter” in online reviews.…”
Section: Methodsmentioning
confidence: 99%
“…In the past, service hospitality studies have used the comments of online booking platforms for human–robot interaction analysis. For example, Çakar and Aykol (2021) used the comments of TripAdvisor for analysis, Tung and Au (2018) collected the user comments of TripAdvisor, Agoda, Yelp, and Booking.com , while Park et al (2021) collected reviews from Chinese customer review platform Dazhongdianping. The second step was to screen out the hotels that mentioned “robot” or “robot waiter” in online reviews.…”
Section: Methodsmentioning
confidence: 99%
“…Strong evidence indicates that the extracted LIWC variables show good agreement with the ratings of human coders ( Zhou et al, 2012 ; Ludwig et al, 2014 ), and their validity and reliability have been previously confirmed. Thus, LIWC has been increasingly applied by information systems scholars for text analysis, more specifically, to extract linguistic and psychological constructs from text (e.g., Chen L. et al, 2020 ; Peng et al, 2020 ; Park et al, 2021 ). Consistent with prior research on linguistic styles, we rely on several word categories as input for our research model, including posemo , you , cogpro , and excl .…”
Section: Methodsmentioning
confidence: 99%
“…2.2 Hypotheses development 2.2.1 Perceived importance. Many consumers value hotels that provide different types of robot-performed services; however, they think they are more suitable for particular tasks and have specific expectations about the job performed by robots (Park et al, 2021;Zemke et al, 2020). According to Lee et al (2021), perceptions of robot use have functional aspects, and PI influences the INT robot assistants.…”
Section: Literature Review 21 Theoretical Foundationsmentioning
confidence: 99%
“…Apart from this, qualitative studies draw attention to the functional side of robot use, and the PI alters for different robots to perform service tasks (Choi et al , 2020a; Fuentes-Moraleda et al , 2020; Park et al , 2021; Zemke et al , 2020). Although these studies have reached some mixed findings, from a general perspective, it has been determined that consumer perceptions differ against robotic service tasks, which this study classifies as RD and FBSS.…”
Section: Literature Reviewmentioning
confidence: 99%
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