How Chatbot negative experiences damage consumer-brand relationships in hospitality and tourism? A mixed-method examination DOI
Mudassir Husnain, Qingyu Zhang, Muhammad Usman

et al.

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 126, P. 104076 - 104076

Published: Dec. 26, 2024

Language: Английский

Engaging guests for a greener tomorrow: Examining the role of hotel chatbots in encouraging pro-environmental behavior DOI
Deeksha Singh, Sambashiva Rao Kunja

Tourism and Hospitality Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Over the past two decades, technology adoption has surged, with businesses leveraging innovations like chatbots to enhance customer experiences. Sustainability concerns have also escalated, particularly in hospitality sector. Recognizing importance of resource mindfulness and catering digitally savvy, eco-conscious young consumers, there is a need find way use encourage pro-environmental behavior among hotel guests. Therefore, this study investigates how anthropomorphic chatbot concierges willingness partake sustainable practices With sample size 346, confirms positive significant relationship between concierge guests practices, which mediated by hedonic motivation experience. The findings contribute SEEK Model value theory, offering practical insights for marketers develop competitive edge cultivate an environmentally responsible brand image.

Language: Английский

Citations

0

Intelligence and humanness as key drivers of service value in Generative AI chatbots DOI
Luis V. Casaló,

Paola Millastre-Valencia,

Daniel Belanche

et al.

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 128, P. 104130 - 104130

Published: March 5, 2025

Language: Английский

Citations

0

Students' mindset to adopt AI chatbots for effectiveness of online learning in higher education DOI Creative Commons
Muhammad Khalilur Rahman, Noor Azizi Ismail,

Md. Arafat Hossain

et al.

Future Business Journal, Journal Year: 2025, Volume and Issue: 11(1)

Published: March 10, 2025

Abstract The rapid incorporation of Artificial Intelligence (AI) technologies into higher education is shifting the focus toward understanding students’ perspectives and factors affecting adoption AI chatbots to maximize their use in online virtual educational environments. This study fills an important gap literature by examining direct mediated relationships key constructs such as perceived usefulness, ease use, technical competency chatbot usage. aims investigate mindsets regarding adopting for effectiveness learning education. Data were collected from 429 university students analyzed using partial least squares-based structural equation modeling (PLS-SEM) technique. results revealed that usefulness (PU), (PEU), tech (TC) have a significant impact on capability. Subjective norm (SN) has no capability significantly influences effectiveness. findings indicated mediates effect PU, PEU, TC chatbots; however, there mediating relationship between SN Facilitating conditions moderate PU research addresses new insight within context education, particularly demonstrating moderating function tech-competent concepts.

Language: Английский

Citations

0

Artificial intelligence (AI) technology, its applications and the use of AI powered devices in hospitality service experience creation and delivery DOI
Doğan Gürsoy

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: unknown, P. 104212 - 104212

Published: March 1, 2025

Language: Английский

Citations

0

Artificial Intelligence in Tourism Through Chatbot Support in the Booking Process—An Experimental Investigation DOI Creative Commons
Kirsten Wüst, Kerstin Bremser

Tourism and Hospitality, Journal Year: 2025, Volume and Issue: 6(1), P. 36 - 36

Published: Feb. 21, 2025

AI-controlled chatbots have been used in travel services for some time and range from simple hotel reservations to personalized recommendations. However, the acceptance of compared human interlocutors has not yet extensively studied experimentally tourism context. In this experimental, randomized, vignette-based, preregistered 2 (agent: AI chatbot/human counterpart) × 3 (situation: positive/neutral/negative) between-subjects design, we hypothesized that booking intention is reduced agents situations where can only be made under more negative than original conditions. Additionally, an interaction effect between agent situation, presuming decrease would less strong chatbots. Structural equation modelling data indicates support Technology Acceptance Model As presumed, was lower situation borderline chatbot. The shown descriptively data. Chatbots are recognized during process accepted bookings their counterparts. Therefore, managers should design as human-like possible avoid losing sales when outsourcing customer contact activities technologies.

Language: Английский

Citations

0

Unlocking Pandora's Box: Unravelling nested futures directions of the AI in tourism and hospitality through an umbrella review DOI
Valentina Della Corte, Clelia Cascella, Simone Luongo

et al.

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 129, P. 104189 - 104189

Published: March 27, 2025

Language: Английский

Citations

0

Retail consumers' conundrum: An in-depth qualitative study navigating the motivations and aversion of chatbots DOI
Muhammad Danish Habib, Rekha Attri, Mohammad Asif Salam

et al.

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 82, P. 104147 - 104147

Published: Nov. 13, 2024

Language: Английский

Citations

1

Pivotal roles of university leader dominance and entrepreneurial bricolage between social responsibility and sustainable knowledge sharing DOI
Muhammad Haroon Shoukat, Islam Elgammal, Kareem M. Selem

et al.

Journal of Hospitality Leisure Sport & Tourism Education, Journal Year: 2024, Volume and Issue: 35, P. 100518 - 100518

Published: Sept. 25, 2024

Language: Английский

Citations

0

How Chatbot negative experiences damage consumer-brand relationships in hospitality and tourism? A mixed-method examination DOI
Mudassir Husnain, Qingyu Zhang, Muhammad Usman

et al.

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 126, P. 104076 - 104076

Published: Dec. 26, 2024

Language: Английский

Citations

0