Lecture notes in computer science, Год журнала: 2025, Номер unknown, С. 12 - 23
Опубликована: Янв. 1, 2025
Язык: Английский
Technology in Society, Год журнала: 2023, Номер 74, С. 102333 - 102333
Опубликована: Июль 25, 2023
Язык: Английский
Процитировано
60
International Journal of Hospitality Management, Год журнала: 2024, Номер 118, С. 103682 - 103682
Опубликована: Янв. 21, 2024
Язык: Английский
Процитировано
32
Service Industries Journal, Год журнала: 2025, Номер unknown, С. 1 - 33
Опубликована: Фев. 25, 2025
Язык: Английский
Процитировано
2
International Journal of Contemporary Hospitality Management, Год журнала: 2023, Номер 36(6), С. 1844 - 1867
Опубликована: Июль 7, 2023
Purpose This study aims to propose a research model integrating technology acceptance 3 (TAM3) constructs and human aspects of humanoid service robots (HSRs), measured by the Godspeed questionnaire series tested across two hotel properties in Japan USA. Design/methodology/approach Potential participants were approached randomly email invitation. A final sample size 395 hotels, one other USA, was obtained, data analysed using structural equation modelling. Findings The results confirm that perceived usefulness, driven subjective norms output quality, ease use, enjoyment absence anxiety, are immediate direct determinants users’ re-patronage intentions for HSRs. Results also showed users prefer anthropomorphism, intelligence safety an HSR reusing it. Practical implications findings have practical hospitality industry, suggesting multiple attributes HSRs managers need consider before deploying them their properties. Originality/value current proposes integrated determining factors affect hotels.
Язык: Английский
Процитировано
36
Psychology and Marketing, Год журнала: 2023, Номер 40(11), С. 2244 - 2271
Опубликована: Авг. 19, 2023
Abstract Chatbots incorporate various behavioral and psychological marketing elements to satisfy customers at stages of their purchase journey. This research follows the foundations Elaboration Likelihood Model (ELM) examines how cognitive peripheral cues impact experiential dimensions, leading chatbot user recommendation intentions. The study introduced warmth competence as mediating variables in both postpurchase stages, utilizing a robust explanatory sequential mixed‐method design. researchers tested validated proposed conceptual model using 3 × factorial design, collecting 354 responses stage 286 stage. In second stage, they conducted in‐depth qualitative interviews (Study 2) gain further insights into validity experimental 1). results obtained from Study 1 revealed that “cognitive cues” “competence” significantly influence intentions among users. On other hand, “peripheral contribute positive experiences encountered during identified 69 thematic codes through exploratory research, providing deeper understanding variables. Theoretically, this extends ELM by introducing new dimensions human‐machine interactions heart digital transformation. From managerial standpoint, emphasizes significance adding “humanness” element development create more engaging customer actively.
Язык: Английский
Процитировано
34
Journal of Hospitality Marketing & Management, Год журнала: 2024, Номер 33(6), С. 831 - 866
Опубликована: Апрель 10, 2024
Robots are starting to replace human employees in the accommodation industry. It remains unclear how guests perceive robots. The study aims evaluate effectiveness of humanoid and non-humanoid robots compare guests' perceptions. data was collected by web digging analyzed using text mining machine learning. results show that experience more positive emotions robotic experiences. They also stated they found both types robot fun interesting. However, have negative perceptions about perceived usefulness appearance According findings learning analysis, neural network logistic regression models best statistical performance datasets compared other models. contributes literature through an investigation opinions regarding with use methods.
Язык: Английский
Процитировано
11
Tourism Review, Год журнала: 2022, Номер 77(5), С. 1262 - 1275
Опубликована: Июль 21, 2022
Purpose Given little light has been shed on the preference of Generation Z tourists or from different cultural backgrounds toward service robot in hospitality contexts, this study aims to explore preferences accommodation sector Chinese market, with a specific focus customers. Design/methodology/approach This followed an exploratory sequential research design including two qualitative methods (i.e. projective techniques and semistructured interviews) reach its objectives. Findings suggests that robots are more preferred for routine tasks gender differences exist robot’s anthropomorphism level. The driven by four factors based levels hedonic utilitarian values: experienced-hedonic value, utilitarian-hedonic task-relevant value value. Research limitations/implications First, because nature study, data interpretation is unavoidably subjective; therefore, results can be confirmed using rigorous method. Second, only focuses customers China hotel sector; as countries, study’s findings cannot readily generalized across populations contexts. Finally, fails dig into effect varying anthropomorphic attributes. Practical implications As hotels adopt widely, managers need identify customers’ prioritize between human resources efficient service. Particularly important understanding benefits challenges implementations rather than looking one-size-fits-all mode operation. Originality/value To best authors’ knowledge, first understand regard tourist groups illustrating their delivery. Drawing self-determination theory, potentially provides theoretical basis process optimization.
Язык: Английский
Процитировано
32
Journal of Hospitality and Tourism Technology, Год журнала: 2024, Номер unknown
Опубликована: Июль 11, 2024
Purpose Drawing on the Service Robot Acceptance Model (sRAM) proposed by Wirtz et al. (2018), this study aims to examine how functional and social-emotional antecedents affect relational elements critical functions that trust rapport play in robot acceptance hotel services. Additionally, incorporates customer characteristics into modified sRAM. Design/methodology/approach Consistent partial least squares (PLSc) was used test model utilizing data collected from 456 Chinese customers. Findings The results indicated effort expectancy performance positively guests’ toward with service robots. However, effect of social influence is insignificant. perceived humanness interactivity rapport, presence affects both rapport. Furthermore, also revealed moderating role age. Originality/value This contributes literature providing insights factors key based advances body knowledge highlighting
Язык: Английский
Процитировано
7
International Journal of Tourism Research, Год журнала: 2024, Номер 26(4)
Опубликована: Июль 1, 2024
Abstract The use of technology in tourism is increasing day by day. Service robots are now on the agenda. success developments that envisage a new experience for consumer tourists depends accurate prediction tourists' possible attitudes and behaviors influencing antecedents. This study examined usage intentions towards service multidimensional basis anthropomorphism technological readiness (TR). A survey was conducted with 1018 Türkiye face‐to‐face using QR codes. Findings showed attitude (AR) mediated relationship between anthropomorphism, intention to (IS). Participating anthropomorphically focused physical appearance rather than their functions internal structures. robot still limited industry. Therefore, empirical results obtained guiding theory practice terms academic studies providers.
Язык: Английский
Процитировано
7
Technological Forecasting and Social Change, Год журнала: 2024, Номер 201, С. 123257 - 123257
Опубликована: Фев. 14, 2024
The rise of service robots is changing how products and services are delivered, significantly affecting customer outcomes. However, research has yet to specifically examine the design a robot specific contexts influences engagement value co-creation. Our study adopts contingency perspective investigate capabilities personalities aligned with impacts co-creation intentions. We tested this proposition through three experiments carried out in banking restaurant contexts. findings revealed effectiveness carefully designed robotic within infrastructure depends on have important implications for firms designing managing align
Язык: Английский
Процитировано
6