Consumers acceptance of service robots in hotels: A meta-analytic review DOI
Nusaiba Begum, Mohd. Nishat Faisal,

Rana Sobh

et al.

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 126, P. 104052 - 104052

Published: Dec. 27, 2024

Language: Английский

Understanding tourist barriers and personality influences in embracing generative AI for travel planning and decision-making DOI Creative Commons
Siamak Seyfi, Myung Ja Kim, Amin Nazifi

et al.

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 126, P. 104105 - 104105

Published: Jan. 15, 2025

Language: Английский

Citations

4

Generative artificial intelligence in hospitality and tourism: future capabilities, AI prompts and real-world applications DOI
Mahmoud Ibraheam Saleh

Journal of Hospitality Marketing & Management, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 32

Published: Jan. 30, 2025

Language: Английский

Citations

1

Investigating factors influencing AI customer service adoption: an integrated model of stimulus–organism–response (SOR) and task-technology fit (TTF) theory DOI
Ali Vafaei-Zadeh, Davoud Nikbin,

Sing Sing Wong

et al.

Asia Pacific Journal of Marketing and Logistics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 29, 2024

Purpose Artificial intelligence (AI) customer service has grown rapidly in recent years due to the emergence of COVID-19 and growth e-commerce industry. Therefore, this study employs integration stimuli–organism–response (SOR) task-technology fit (TTF) frameworks understand factors that affect individuals’ intentions towards AI adoption Malaysia. Design/methodology/approach The utilised a survey-based research approach investigate data were collected by conducting an online survey targeting individuals aged 18 or above who had prior interaction experience with human agents but not yet adopted service. A sample 339 respondents was used evaluate hypotheses, adopting partial least squares structural equation modelling as symmetric analytic technique. Findings PLS-SEM analysis revealed social influence anthropomorphism have positive direct relationship emotional trust. Furthermore, communicative competence, technology characteristics perceived positively correlated TTF. Moreover, trust significantly impacts adoption. In addition, readiness moderates association between task Practical implications provides insights individuals, organisations, government educational institutions improve features its development Originality/value originality is found SOR theory TTF affecting Additionally, it incorporates moderating variables during analysis, adding depth findings. This introduces new perspective on impact offers valuable for practitioners seeking formulate effective strategies promote

Language: Английский

Citations

7

Customers’ metaverse service encounter perceptions: sentiment analysis and topic modeling DOI

S. Jerrin Issac Sam,

K. Mohamed Jasim,

M. Babu

et al.

Journal of Hospitality Marketing & Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: July 29, 2024

Using machine learning, we examined customers' opinions about the metaverse in hospitality industry (encompassing hotels, restaurant, gaming, virtual events, tours and travel). A total of 8,855 tweets were collected from Twitter (now called X), learning algorithms such as sentiment analysis topic modeling performed using Python libraries to capture important topics related applications. Nearly two thirds (60.9%) contained a mostly positive general toward use metaverse. Six emerged modeling: sightseeing, travel, business blockchain. Despite numerous studies on proper integration metaverse, VR AR, best our knowledge, this is one first conducted determine customer experience social media data.

Language: Английский

Citations

5

Consumers’ willingness to use the Metaverse for information search: An investigation of the underlying mechanism and critical determinants DOI
Doğan Gürsoy, Fabiola Sfodera, Niccolò Piccioni

et al.

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 124, P. 103957 - 103957

Published: Oct. 22, 2024

Language: Английский

Citations

5

Artificial Intelligence in Commercial Industry: Serving the End-to-End Patient Experience Across the Digital Ecosystem DOI

Michael J. Ormond,

Eric H Garling,

J. Woo

et al.

Arthroscopy The Journal of Arthroscopic and Related Surgery, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0

Fictional Failures and Real-World Lessons: Ethical Speculation Through Design Fiction on Emotional Support Conversational AI DOI
Faye Kollig, Jessica Pater, Fayika Farhat Nova

et al.

Published: April 24, 2025

Language: Английский

Citations

0

Facing the next chapter of smartness: Designing smarter hospitality customer experience with artificial intelligence of things (AIoT) DOI
Hsuan Hsu

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 128, P. 104163 - 104163

Published: March 19, 2025

Language: Английский

Citations

0

Two decades of research on customer satisfaction: future research agenda and questions DOI
Robin Nunkoo, Anuj Sharma, Kevin Kam Fung So

et al.

International Journal of Contemporary Hospitality Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

Purpose This paper aims to review two decades of research on customer satisfaction identify key topics, their prevalence and changes in each topic’s relative popularity over time. It also addresses interdisciplinarity studies. Design/methodology/approach The data set comprises 1,316 journal articles published between 2000 2023. authors used structural topic modeling extract defining themes research. analyzed the references cited these sources assess studies’ interdisciplinarity. Findings analysis revealed 10 conceptually distinct topics with varying degrees evolutionary paths. noted that numerous academic disciplines, such as general business, marketing, psychology, information systems statistics, have influenced Practical implications study’s findings provide valuable insights for tourism hospitality industries. Practitioners can refer results understand trends consumer behavior. For example, emerging transformative service suggest issues well-being should be considered when designing products. Originality/value Using modeling, extracted unbiased from a larger compared prior reviews tracked topics’ evolution. In addition, found evidence how various fields shaped study applies fresh approach theory development examines previously intractable problems. point questions merit investigation.

Language: Английский

Citations

0

Promoting sustainable hospitality: examining the impact of voice assistant recommendations on customer engagement in pre-travel decision-making: moderating effects of use purpose and cultural orientation DOI Creative Commons
Han-Ling Jiang,

Lin-Hua Lu,

Tsunwai Wesley Yuen

et al.

Journal of Hospitality Marketing & Management, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 39

Published: March 26, 2025

Language: Английский

Citations

0