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

Rana Sobh

и другие.

International Journal of Hospitality Management, Год журнала: 2024, Номер 126, С. 104052 - 104052

Опубликована: Дек. 27, 2024

Язык: Английский

What drives tourists’ continuance intention to use ChatGPT for travel services? A stimulus-organism-response perspective DOI

Hong Chuong Pham,

Cong Doanh Duong,

Giang Khanh Huyen Nguyen

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103758 - 103758

Опубликована: Фев. 9, 2024

Язык: Английский

Процитировано

69

When robot appearance and service style interact to influence customers’ willingness to pay: The mediating role of perceived restaurant quality DOI
Stephanie Hui-Wen Chuah, Joaquim Dias Soeiro

International Journal of Hospitality Management, Год журнала: 2025, Номер 127, С. 104117 - 104117

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

3

Handwritten typeface effect of souvenirs: The influence of human presence, perceived authenticity, product types, and consumption goals DOI
Yongrui Guo, Xiaotian Cui, Yuzong Zhao

и другие.

Journal of Hospitality and Tourism Management, Год журнала: 2024, Номер 58, С. 345 - 353

Опубликована: Фев. 21, 2024

Язык: Английский

Процитировано

9

Is cute AI more forgivable? The impact of informal language styles and relationship norms of conversational agents on service recovery DOI
Qian Hu,

Zhao Pan

Electronic Commerce Research and Applications, Год журнала: 2024, Номер 65, С. 101398 - 101398

Опубликована: Апрель 16, 2024

Язык: Английский

Процитировано

9

A multiwave study on tourist well-being: The role of attention restoration, psychological-need and social-sharing satisfaction DOI
Yulan Fan, IpKin Anthony Wong, Gongpeng Zhang

и другие.

Tourism Management Perspectives, Год журнала: 2024, Номер 51, С. 101234 - 101234

Опубликована: Фев. 18, 2024

Язык: Английский

Процитировано

7

Artificial Intelligence in Frontline Service Encounters: A Systematic Review and Research Agenda DOI
Sneha Rose George,

C Manu,

Manoj Edward

и другие.

International Journal of Consumer Studies, Год журнала: 2025, Номер 49(3)

Опубликована: Апрель 17, 2025

ABSTRACT Over recent years, the proliferation of artificial intelligence (AI) has enabled businesses worldwide to employ AI‐driven service agents deliver frontline services their customers. This paradigm shift also increased scholarly attention consumer behavior research in encounters. Nevertheless, existing body knowledge this domain lacks coherence and consistency, with disparate findings scattered across numerous disciplines. In context, a critical comprehensive overview literature is essential. Therefore, provide an updated understanding fast‐growing domain, we systematically analyzed 157 articles. Using popular TCCM framework, offer detailed theories, contexts, characteristics, methodologies used prior studies domain. The presents integrated framework considering independent variables, mediators, moderators influencing customer outcomes. analysis identifies several gaps suggests potential opportunities for further investigation that pertain major emerging topics overlooked areas. review enhances reactions encounters offers novel insights both managerial practice regarding implementation AI services.

Язык: Английский

Процитировано

1

Navigating the spectrum of human-robot collaboration: Addressing robophobia-robophilia in the hospitality industry DOI
Dan Jin

International Journal of Hospitality Management, Год журнала: 2024, Номер 122, С. 103840 - 103840

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

4

To invest or not to? Unravelling the factors influencing willingness to pay for smart home devices: a mixed-method approach DOI
Long She, Choi‐Meng Leong, Tze‐Yin Lim

и другие.

Asia-Pacific Journal of Business Administration, Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Purpose This research examines the determinants influencing consumer readiness to invest in smart home devices. Design/methodology/approach Employing a mixed-method strategy, this study initially applied cross-sectional survey gather responses from 311 Chinese consumers. The investigation structural equation modeling when assessing different hypotheses. Subsequently, extracted 541 online customer reviews about products an e-commerce platform. topic-modeling performed extract important themes textual data regarding products. Findings results both and confirmed that factors such as anthropomorphism, self-congruity elements Technology Acceptance Model play crucial roles decisions buy Originality/value enriches existing literature by broadening extend evaluations on anthropomorphism with self-congruity, particularly relation perceived value of technologies.

Язык: Английский

Процитировано

0

Explore the anthropomorphism of service bots in tourism: A MASEM analysis based on stereotype content model DOI

F. Zhang,

Zihan Zhou, Dongfang Sheng

и другие.

Current Issues in Tourism, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0

Exploring unconscious user responses to affective computing in interactive prototypes: a consumer neuroscience study DOI Creative Commons
Álvaro Saavedra, Raquel Chocarro, Mónica Cortiñas

и другие.

Behaviour and Information Technology, Год журнала: 2025, Номер unknown, С. 1 - 20

Опубликована: Май 18, 2025

Язык: Английский

Процитировано

0