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- W4290461747 abstract "Purpose The purpose of this study is to empirically investigate what aspects of service robot interactions with customers can lead to meaningful outcomes in the view of customers. The study examines functional and emotional elements of AI service robots in terms of meaningful outcomes. Design/methodology/approach This study highlights AI service robots' meaningful outcomes as a viable research problem and proposes a research model utilizing the Stimulus-Organism-Response (SOR) framework. As an empirical approach, 260 datasets were collected from customers who have experience with AI service restaurants in China. Findings The study examines the functional and emotional elements of AI-powered service robots on the attitude of and meaningful outcomes for customers. The results showed that the emotional (perceived friendliness and perceived coolness) and functional (perceived safety and robot competence) attributes of human–robot interactions (HRI) significantly affect the attitude toward using service robots. Second, the attitude toward using service robots significantly influences the experiential outcome and instrumental outcome of meaningful engagement. Research limitations/implications This study highlights two elements (i.e. functional and emotional) of HRI effectiveness using two metrics: experiential and performance outcomes. Future studies should generalize the research findings of service robots in the current study using a larger quantity of data from various service fields. Originality/value As the first empirical study highlighting the customer experience with service robots, this study opens up a feasible research direction for the service industry to pursue in terms of conducting HRI studies from the view of customers. It identifies a research model pursuant to customers' experience with HRI in creating meaningful outcomes and it theoretically extends the SOR model to the hospitality study, focusing on the HRI issue." @default.
- W4290461747 created "2022-08-08" @default.
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- W4290461747 date "2022-04-29" @default.
- W4290461747 modified "2023-10-16" @default.
- W4290461747 title "Understanding customer's meaningful engagement with AI-powered service robots" @default.
- W4290461747 cites W144660154 @default.
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- W4290461747 cites W1791587663 @default.
- W4290461747 cites W1834533132 @default.
- W4290461747 cites W1964308118 @default.
- W4290461747 cites W1977742635 @default.
- W4290461747 cites W1982979754 @default.
- W4290461747 cites W1986015197 @default.
- W4290461747 cites W1987364024 @default.
- W4290461747 cites W1987496150 @default.
- W4290461747 cites W1989925973 @default.
- W4290461747 cites W2000997123 @default.
- W4290461747 cites W2013994177 @default.
- W4290461747 cites W2020750583 @default.
- W4290461747 cites W2021641437 @default.
- W4290461747 cites W2021836639 @default.
- W4290461747 cites W2023669794 @default.
- W4290461747 cites W2032568497 @default.
- W4290461747 cites W2032807680 @default.
- W4290461747 cites W2035626379 @default.
- W4290461747 cites W2057469025 @default.
- W4290461747 cites W2062545952 @default.
- W4290461747 cites W2064304167 @default.
- W4290461747 cites W2081244122 @default.
- W4290461747 cites W2084235337 @default.
- W4290461747 cites W2085776641 @default.
- W4290461747 cites W2099019320 @default.
- W4290461747 cites W2099697766 @default.
- W4290461747 cites W2100379340 @default.
- W4290461747 cites W2106090893 @default.
- W4290461747 cites W2108697536 @default.
- W4290461747 cites W2110859446 @default.
- W4290461747 cites W2115981184 @default.
- W4290461747 cites W2119200271 @default.
- W4290461747 cites W2130892515 @default.
- W4290461747 cites W2131063775 @default.
- W4290461747 cites W2149595999 @default.
- W4290461747 cites W2149967206 @default.
- W4290461747 cites W2150238850 @default.
- W4290461747 cites W2157186607 @default.
- W4290461747 cites W2161736047 @default.
- W4290461747 cites W2223470559 @default.
- W4290461747 cites W2239306219 @default.
- W4290461747 cites W2260549038 @default.
- W4290461747 cites W2295029210 @default.
- W4290461747 cites W2325139340 @default.
- W4290461747 cites W2346804704 @default.
- W4290461747 cites W2398581664 @default.
- W4290461747 cites W2461283654 @default.
- W4290461747 cites W2514873829 @default.
- W4290461747 cites W2558287871 @default.
- W4290461747 cites W2602156528 @default.
- W4290461747 cites W2624203283 @default.
- W4290461747 cites W2751092903 @default.
- W4290461747 cites W2765667717 @default.
- W4290461747 cites W2893710836 @default.
- W4290461747 cites W2894528744 @default.
- W4290461747 cites W2902700447 @default.
- W4290461747 cites W2905860750 @default.
- W4290461747 cites W2912861911 @default.
- W4290461747 cites W2913916101 @default.
- W4290461747 cites W2918214187 @default.
- W4290461747 cites W2940226795 @default.
- W4290461747 cites W2947308709 @default.
- W4290461747 cites W2953168895 @default.
- W4290461747 cites W2953308067 @default.
- W4290461747 cites W2955485803 @default.
- W4290461747 cites W2957160386 @default.
- W4290461747 cites W2966519442 @default.
- W4290461747 cites W2978077952 @default.
- W4290461747 cites W2997061806 @default.
- W4290461747 cites W3010567303 @default.
- W4290461747 cites W3034196215 @default.
- W4290461747 cites W3036356806 @default.
- W4290461747 cites W3123811346 @default.
- W4290461747 cites W3206737089 @default.
- W4290461747 cites W3210315107 @default.
- W4290461747 cites W4235678817 @default.
- W4290461747 cites W52089428 @default.
- W4290461747 doi "https://doi.org/10.1108/itp-10-2020-0740" @default.
- W4290461747 hasPublicationYear "2022" @default.
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