Customers' acceptance of artificially intelligent service robots: The influence of trust and culture

OH Chi, CG Chi, D Gursoy, R Nunkoo - International Journal of Information …, 2023 - Elsevier
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) …

Developing a formative scale to measure consumers' trust toward interaction with artificially intelligent (AI) social robots in service delivery

OH Chi, S Jia, Y Li, D Gursoy - Computers in Human Behavior, 2021 - Elsevier
This study develops and validates a scale of Social Service Robot Interaction Trust (SSRIT)
that measures consumers' trust toward interaction with AI social robots in service delivery …

Tourists' attitudes toward the use of artificially intelligent (AI) devices in tourism service delivery: moderating role of service value seeking

OH Chi, D Gursoy, CG Chi - Journal of Travel Research, 2022 - journals.sagepub.com
This study examines tourists' attitudes toward the use of artificially intelligent (AI) devices in
either relatively more utilitarian or hedonic tourism services (airline and hospitality services …

Antecedents of trust and adoption intention toward artificially intelligent recommendation systems in travel planning: a heuristic–systematic model

S Shi, Y Gong, D Gursoy - Journal of Travel Research, 2021 - journals.sagepub.com
Drawing on the dual process theory, this study investigates the impacts of systematic and
heuristic cues on travelers' cognitive trust, emotional trust, and adoption intention toward …

[HTML][HTML] Airbnb and COVID-19: SPACE-TIME vulnerability effects in six world-cities

K Kourtit, P Nijkamp, J Östh, U Turk - Tourism Management, 2022 - Elsevier
This study examines the COVID-19 vulnerability and subsequent market dynamics in the
volatile hospitality market worldwide, by focusing in particular on individual Airbnb bookings …

Digital transformation and revenue management: Evidence from the hotel industry

Z Alrawadieh, Z Alrawadieh, G Cetin - Tourism Economics, 2021 - journals.sagepub.com
To maximize their revenues and protect their market share against traditional competitors
(eg formal lodging businesses) and disruptive business models (eg Airbnb), the lodging …

Interactive effects of message framing and information content on carbon offsetting behaviors

OH Chi, G Denton, D Gursoy - Tourism Management, 2021 - Elsevier
This study examines the effects of message framing and information presentation on tourists'
carbon offsetting behaviors within the theoretical framework of heuristic-systematic …

Customer behavior in purchasing energy-saving products: Big data analytics from online reviews of e-commerce

G Ma, J Ma, H Li, Y Wang, Z Wang, B Zhang - Energy Policy, 2022 - Elsevier
With the acceleration of China's urbanization and the increasing number of household
appliances, the promotion of energy-saving products has attracted widespread attention …

Recovering hotel room sales during the COVID-19 pandemic: Lessons from OTA information using the quantile regression approach

L Guo, K Liu, Y Song, Z Yang - Current Issues in Tourism, 2022 - Taylor & Francis
This study aims to explore the relationship between online travel agency (OTA) information
and hotel room sales in the pandemic context (eg COVID-19), thereby promoting the …

How online travel reviews sources affect travelers' behavioral intentions? Analysis with source credibility theory

G Roy, B Datta, S Mukherjee, A Eckert… - Tourism Planning & …, 2024 - Taylor & Francis
ABSTRACT This study used Source Credibility Theory (SCT) to examine the effect of the
source credibility factors (SCFs) of travelers' electronic word of mouth (eWOM) and their …