Strategizing human-robot role matrix: balancing automation and human touch DOI
Dan Jin, Yu Fang, Yongguang Zou

и другие.

Journal of Hospitality Marketing & Management, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Июнь 2, 2025

Язык: Английский

Artificial intelligence and internet of things to improve smart hospitality services DOI
Kuo Cheng Chung, Paul Juinn Bing Tan

Internet of Things, Год журнала: 2025, Номер unknown, С. 101544 - 101544

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Robots at your service: Understanding hotel guest acceptance with meta-UTAUT investigation DOI Creative Commons
Mostafa Marghany, Nirmeen Elmohandes,

Ibrahim Mohamad

и другие.

International Journal of Hospitality Management, Год журнала: 2025, Номер 130, С. 104227 - 104227

Опубликована: Май 9, 2025

Язык: Английский

Процитировано

0

Human–robot interaction attributes at the restaurants: will it enhance revisit intentions? DOI
Muslim Amin, M. Omar Parvez, Shahid Rasool

и другие.

Journal of Hospitality and Tourism Technology, Год журнала: 2025, Номер unknown

Опубликована: Май 24, 2025

Purpose This study aims to investigate human–robot interactions (HRI) in hospitality, examining how perceived intelligence, social presence and interactivity influence customer attitudes, trust, rapport revisit intentions robotic service restaurants. Design/methodology/approach A purposive sampling method was used explore perceptions of restaurant robots. Data were collected via the Prolific platform through a structured questionnaire from 500 US customers. The partial least squares structural equation modeling assess relationships between HRI attributes, intentions. Findings Service robots significantly experiences by fostering interactivity. Trust emerge as key determinants robot acceptance. Positive increase likelihood customers returning, demonstrating that can enhance operational efficiency while maintaining emotional engagement necessary for retention. Practical implications provide strategic insights owners, managers stakeholders integrating Enhancing interaction trust-building features make services more appealing. Restaurants should focus on advanced AI capabilities personalize interactions, remember preferences deliver emotionally engaging experiences. Originality/value contributes hospitality tourism literature providing empirical evidence robots’ role shaping behavior. It expands exchange theory technology acceptance model incorporating into customer–robot interactions. findings offer practical guidance improving ensuring humanized dining experience meets evolving expectations.

Язык: Английский

Процитировано

0

East meets middle east: Unpacking cultural drivers of masstige brand experience in the hospitality sector DOI
Rehan Husain

International Journal of Hospitality Management, Год журнала: 2025, Номер 131, С. 104296 - 104296

Опубликована: Май 30, 2025

Язык: Английский

Процитировано

0

Strategizing human-robot role matrix: balancing automation and human touch DOI
Dan Jin, Yu Fang, Yongguang Zou

и другие.

Journal of Hospitality Marketing & Management, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Июнь 2, 2025

Язык: Английский

Процитировано

0