Robotic companionship for solo diners: the role of robotic service type, need to belong and restaurant type

Purpose What kind of robotic service do customers prefer when they dine out alone? This study aims to investigate how robotic service type affects solo diners’ attitude toward robotic service and restaurant revisit intention, through the mediation of rapport. It also examines the moderating effects of the need to belong and restaurant type. Design/methodology/approach Three experiments were conducted. Study 1 used a one-factor between-subjects design to test the effect of robotic service type on rapport and solo diners’ responses. Study 2 conducted a 2 (robotic service type: service-delivery vs entertainment) × need to belong quasi-experimental design to examine the moderation of need to belong. Study 3 used a 2 (robotic service type: service-delivery vs entertainment) × 2 (restaurant type: traditional restaurant vs solo-friendly restaurant) factorial between-subjects design to test the moderation of restaurant type. A qualitative study (Study 4) complements the experimental results based on semistructured interviews. Findings Entertainment (vs service-delivery) robotic service has a stronger effect on solo diners’ responses, with rapport serving as a mediator. Additionally, solo diners with a heightened need to belong demonstrate an intensified rapport effect when receiving entertainment-oriented robotic service. Furthermore, restaurant type plays a moderating role between robotic service type and consumer responses. For traditional restaurants, solo diners who receive entertainment (vs service-delivery) robotic service tend to form stronger rapport and favorable responses. The results of the qualitative study elucidate and support the hypothesized relationships of the experimental studies. Practical implications Restaurant operators could consider offering entertainment-based smart devices that allow solo diners to indulge themselves during the dining encounter. Restaurants could also design environmental cues that can signify a sense of comfort, such as redesigning tables with individual seats for solo diners to enhance their perceptions of shared characteristics among other solo diners in the same space. Originality/value This research advances the literature on solo dining and robotic service, by investigating how human–robot interaction can fulfill solo diners’ relatedness goals, as self-determination theory suggests. This inquiry also represents an early attempt in the hospitality literature to empirically examine the influence of robotic service type on consumer responses through the mediation of rapport.

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Publication Details

Journal
International Journal of Contemporary Hospitality Management
Published
2024-12-23
DOI
https://doi.org/10.1108/ijchm-05-2024-0654
Citations
12
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
4.17
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article

Robotic companionship for solo diners: the role of robotic service type, need to belong and restaurant type

IpKin Anthony Wong, Qi Lilith Lian, Jingwen Huang, Huiling Huang
12 citations
International Journal of Contemporary Hospitality Management
AI in Service Interactions
4.17
article

Robotic companionship for solo diners: the role of robotic service type, need to belong and restaurant type

IpKin Anthony Wong, Qi Lilith Lian, Jingwen Huang, Huiling Huang
article en
12 citations

Abstract

Purpose What kind of robotic service do customers prefer when they dine out alone? This study aims to investigate how robotic service type affects solo diners’ attitude toward robotic service and restaurant revisit intention, through the mediation of rapport. It also examines the moderating effects of the need to belong and restaurant type. Design/methodology/approach Three experiments were conducted. Study 1 used a one-factor between-subjects design to test the effect of robotic service type on rapport and solo diners’ responses. Study 2 conducted a 2 (robotic service type: service-delivery vs entertainment) × need to belong quasi-experimental design to examine the moderation of need to belong. Study 3 used a 2 (robotic service type: service-delivery vs entertainment) × 2 (restaurant type: traditional restaurant vs solo-friendly restaurant) factorial between-subjects design to test the moderation of restaurant type. A qualitative study (Study 4) complements the experimental results based on semistructured interviews. Findings Entertainment (vs service-delivery) robotic service has a stronger effect on solo diners’ responses, with rapport serving as a mediator. Additionally, solo diners with a heightened need to belong demonstrate an intensified rapport effect when receiving entertainment-oriented robotic service. Furthermore, restaurant type plays a moderating role between robotic service type and consumer responses. For traditional restaurants, solo diners who receive entertainment (vs service-delivery) robotic service tend to form stronger rapport and favorable responses. The results of the qualitative study elucidate and support the hypothesized relationships of the experimental studies. Practical implications Restaurant operators could consider offering entertainment-based smart devices that allow solo diners to indulge themselves during the dining encounter. Restaurants could also design environmental cues that can signify a sense of comfort, such as redesigning tables with individual seats for solo diners to enhance their perceptions of shared characteristics among other solo diners in the same space. Originality/value This research advances the literature on solo dining and robotic service, by investigating how human–robot interaction can fulfill solo diners’ relatedness goals, as self-determination theory suggests. This inquiry also represents an early attempt in the hospitality literature to empirically examine the influence of robotic service type on consumer responses through the mediation of rapport.

International Journal of Contemporary Hospitality ManagementVol. 37(3)
Sun Yat-sen University (CN), University of Macau (MO)
Openalex Percentile: Top 5%
AI in Service Interactions
4.17
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