This study addresses two critical research gaps in human-robot interaction (HRI): the limited systematic research on the role of trust in customers' acceptance of artificially intelligent (AI) …
D Huang, Q Chen, S Huang, X Liu - International Journal of …, 2024 - emerald.com
Purpose Drawing on the cognitive–affective–conative framework, this study aims to develop a model of service robot acceptance in the hospitality sector by incorporating both cognitive …
The present study compares the influence of text‐based recommendations; traditionally known as online consumer reviews, and the influence of voice‐based recommendations …
M Lajante, D Remisch, N Dorofeev - Service Business, 2023 - Springer
Interactional justice (eg, empathy) plays a crucial role in service recovery. It relies on human social skills that would prevent it from automation. However, several considerations …
RP Bagozzi, MK Brady… - Journal of Service …, 2022 - journals.sagepub.com
AI in service can be for routine mechanical tasks, analytical thinking tasks, or empathetic feeling tasks. We provide a conceptual framework for the customer, firm, and interactional …
Purpose Customer service conversations are becoming increasingly digital and automated, leaving service encounters impersonal. The purpose of this paper is to identify how …
Augmented reality (AR) can induce emotions among its users. However, emotional valence is often studied with a singular focus (eg, enjoyment), which disregards and overlooks the …
Uncomfortable service interactions are ubiquitous in tourism and hospitality settings (eg, returning a dish in a restaurant, ordering room service late at night, and complaining about …