A magical cruise journey: service robots for entertainment on board DOI
M. Omar Parvez, Sima Rahimizhian, Mohammad Nurul Alam

et al.

Journal of Hospitality and Tourism Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 7, 2025

Purpose The integration of technology in the cruise ship industry offers tourists a valuable opportunity to engage with robotic services and entertainment while on board. This research aims explore how cruisers’ perceived enjoyment significantly influences disconfirmation emotional appeal robots. Design/methodology/approach In total, 500 cruisers traveling from Florida, who had experiences Royal Caribbean Mediterranean Shipping Company (MSC) ships, participated data collection through online platform Prolific, reputable for academic large diverse participant pool; 404 sets were analyzed partial least squares-structural equation model. Findings findings underscore positive impact travelers’ enjoyable robots not only enhance their but also contribute stronger effect. Moreover, customer engagement was found moderate relationship between positively, impacting overall satisfaction travelers. Originality/value takes unique approach subject, offering sentiment-based understanding ships. Its novel perspective these makes it compelling read those interested intersection hospitality.

Language: Английский

Does consumers’ reveal engagement behaviours in artificial intelligence (AI)-based technologies? The dynamics of perceived value and self-congruence DOI
Raouf Ahmad Rather

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 126, P. 103989 - 103989

Published: Jan. 17, 2025

Language: Английский

Citations

1

Robots make me feel more like a human! Investigating how employee-robot engagement reduces workplace depersonalization DOI
Xin Liu, Lu Zhang, Zhibin Lin

et al.

Tourism Management, Journal Year: 2025, Volume and Issue: 109, P. 105149 - 105149

Published: Jan. 27, 2025

Language: Английский

Citations

1

Understanding AI-enabled conversational agent customer experiences in religious tourism DOI
Abdulaziz Abdullah Mughiran Alharbi, Ameet Pandit, Philip J. Rosenberger

et al.

Journal of Islamic marketing, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Purpose The purpose of this paper is to investigate the impact artificial intelligence (AI)-enabled Conversational Agents (AICAs) on religious tourists’ experiences. It explores how AICA attributes influence cognitive and affective states these evaluations, in turn, affect their memorable tourism experiences (MRTEs) continuous use intentions AICAs. Design/methodology/approach Drawing stimulus-organism-response model Technology Readiness Index, authors propose a new theoretical framework examine relationships among (stimuli), evaluations (organism), behavioral responses (MRTEs intentions). conceptual, with supported through comprehensive literature review. Findings posits that attributes, such as informativeness, accessibility, empathy personalization, shape These MRTEs, influencing willingness continue using AICAs future Additionally, technology readiness posited moderate relationship between evaluations. Recommendations are made research can be conducted test proposed conceptual model. Originality/value This enhances AI by examining AICAs’ exploring multidimensional nature adoption. provides foundation for empirical research. offers insights operators service providers, guiding strategic enhance MRTEs while respecting sacred spiritual journeys. inform development more effective culturally sensitive AI-driven solutions contexts.

Language: Английский

Citations

1

Service robots and hotel guests’ perceptions: anthropomorphism and stereotypes DOI
Xiaoxiao Song, Yunpeng Li, Xi Yu Leung

et al.

Tourism Review, Journal Year: 2023, Volume and Issue: 79(2), P. 505 - 522

Published: Nov. 17, 2023

Purpose Drawing on anthropomorphism and the stereotype content model, this study aims to explore impacts of robot hotel guests’ word mouth continuous usage intention through perceived warmth competence. This also investigates moderating effects expertise. Design/methodology/approach A total 524 valid data was collected with Chinese guest an online survey. Data were analyzed by using structural equation modeling. Findings The results indicate that positively affects Perceived intention, while competence only influences intention. findings further show expertise weakens positive relationship between Originality/value advances service literature integrating model in exploring perceptions robots. discovers vital boundary role characteristics human–robot interaction. provides valuable information for hoteliers design adopt better robots optimal experiences.

Language: Английский

Citations

22

Are we ready for hotel robots after the pandemic? A profile analysis DOI Open Access
Fatemeh Binesh, Şeyhmus Baloğlu

Computers in Human Behavior, Journal Year: 2023, Volume and Issue: 147, P. 107854 - 107854

Published: June 26, 2023

Language: Английский

Citations

18

Can AI robots foster social inclusion? Exploring the role of immersive augmentation in hospitality DOI
Héctor González‐Jiménez, Diego Costa Pinto

International Journal of Contemporary Hospitality Management, Journal Year: 2024, Volume and Issue: 36(11), P. 3889 - 3905

Published: June 28, 2024

Purpose Grounded on the X Reality framework and human–machine collaboration, this study aims to explore potential of immersive augmentation through artificial intelligence (AI) service robots for promoting social inclusion in hospitality industry. Design/methodology/approach Three experimental studies across diverse contexts examine effects using inclusive-AI compared standard-AI robots. The also uncover underlying process perceived ethicality moderating role customers’ familiarity with AI. Findings results indicate that generates higher levels supportive tipping behavior (Studies 1 3), superior buying intentions (Study 2) an increased likelihood customers pay a premium price 2). These are mediated by 1–3). However, impact is contingent upon AI: high AI exhibit lower 3). Research limitations/implications findings emphasize importance determining effectiveness hospitality. Originality/value This contributes literature exploring It offers novel insights highlighting provide valuable guidance managers seeking leverage technology foster inclusion.

Language: Английский

Citations

8

Artificial intelligence features and their service outcomes: a meta-analysis DOI
Minglong Li, Xiaoyang Sun, Meichen Hua

et al.

Journal of Hospitality Marketing & Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: Aug. 23, 2024

With the permeation of artificial intelligence (AI) through tourism and hospitality industry, a comprehensive understanding its features service outcomes is important for both academia practice. In this study, meta-analytic framework with 23 constructs from 91 research papers was developed. This analysis indicated that AI can be categorized as sensory, social or functional; relationships among these were revealed. Additionally, lead to positive via process involving customers' cognition, affect providers. The method, type participants' gender moderate influence on outcomes, but stimulants prior experience do not. These findings enhance applications consequences have managerial implications.

Language: Английский

Citations

8

Greening the Path: The Three-Way Interactive Effects of Psychological Ownership, Green Knowledge Sharing, and Social Media DOI
Tho Huu-Hoang Nguyen, Giang Thuy Nguyen, Man The Nguyen

et al.

Journal of Quality Assurance in Hospitality & Tourism, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 37

Published: May 17, 2024

This study develops an integrated framework grounded in service-dominant logic theory to examine green destination psychological ownership, customer engagement, knowledge sharing, and social media usage as drivers of electronic word mouth. A multi-wave survey analysis conducted among 507 Vietnamese travelers supported the hypothesized direct effect, mediation, three-way interaction between factors. The results revealed that engagement mediates relationship ownership Additionally, companies' sharing travelers' network proneness strengthen positive influence feelings on subsequently enhancing findings contribute novel insights into marketing effects, with implications for leveraging psychology behaviors promote By fostering feelings, actively sustainability knowledge, understanding habits, tourism organizations can enhance participation initiatives recommendations. advances theoretical practical strategies nurturing outcomes digital age through theory. Further research should investigate additional variables contexts deepen enabling collaborative value creation sustainability.

Language: Английский

Citations

4

Factors for Customers’ AI Use Readiness in Physical Retail Stores: The Interplay of Consumer Attitudes and Gender Differences DOI Creative Commons

Nina Kolar,

Borut Milfelner, Aleksandra Pisnik

et al.

Information, Journal Year: 2024, Volume and Issue: 15(6), P. 346 - 346

Published: June 12, 2024

In addressing the nuanced interplay between consumer attitudes and Artificial Intelligence (AI) use readiness in physical retail stores, main objective of this study is to test impacts prior experience, as well perceived risks with AI technologies, self-assessment consumers’ ability manage moderator role gender relationship. Using a quantitative cross-sectional survey, data from 243 consumers familiar technologies were analyzed using structural equation modeling (SEM) methods explore these dynamics context stores. Additionally, moderating tested after invariance analysis across both groups. Key findings indicate that positive experience positively influences while serve deterrent. Gender differences significantly moderate effects, more negatively impacting women’s showing stronger impact on men’s readiness. The concludes retailers must consider gender-specific perceptions toward develop effective strategies for technology integration. Our research also highlights need address barriers biases when adopting technology.

Language: Английский

Citations

4

AI in the Spotlight: The Impact of Artificial Intelligence Disclosure on User Engagement in Short-Form Videos DOI
Hao Chen, Pingping Wang, Shuaikang Hao

et al.

Computers in Human Behavior, Journal Year: 2024, Volume and Issue: unknown, P. 108448 - 108448

Published: Sept. 1, 2024

Language: Английский

Citations

4