Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55415
Title: Hospitality industry web-based self-service technology adoption model : a cross-cultural perspective
Authors: Lee, LYS
Keywords: Marketing, airlines
Online
Self-service technologies
Tourism
Issue Date: 2016
Publisher: SAGE Publications
Source: Journal of hospitality and tourism research, 2016, v. 40, no. 2, p. 162-197 How to cite?
Journal: Journal of hospitality and tourism research 
Abstract: Technology advancement induces information technology infusion in business processes and service encounter. The airline industry employs web-based self-service technology (SST), namely, airline online check-in system, to provide more choice, control, and convenience to passengers. Customer adoption intention of web-based SST is particularly momentous, since customer adoption highly drives the service development. Technology acceptance model (TAM), a robust framework measuring factors affecting technology acceptance intention, has been broadly examined in numerous settings. However, inconsistent results are noted in Western and non-Western countries, and the model is challenged from limited cultural orientation. In response to this criticism, this research aims to identify culturally unique dimensions for TAM and construct a framework for hospitality web-based SST adoption from Westerns’ and Asians’ perspectives. Etic–emic approach, incorporating literature search and focus group interviews with Asian respondents, was employed to provide a thoughtful review of examined factors and generate new factors from an Asian perspective.
URI: http://hdl.handle.net/10397/55415
ISSN: 1096-3480
EISSN: 1557-7554
DOI: 10.1177/1096348013495695
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

4
Last Week
0
Last month
Citations as of Aug 14, 2017

Page view(s)

20
Last Week
3
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.