Factors correlated with online travel service adoption: a meta-analysis

Zhu, Zhangxiang; Liao, Liheng; Hu, Bing

doi:10.1108/jhtt-10-2020-0284

Cited by 8 publications

(1 citation statement)

References 81 publications

(89 reference statements)

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“…Previous meta-analytical reviews that have evaluated the TAM have mainly focused on external marketing (e.g. consumers’ intentions to use online travel services) (Guo et al , 2022; Zhu et al , 2022). This study is the very first attempt to use empirical research to explore the predictive power of TAM in internal marketing.…”

Section: Discussionmentioning

confidence: 99%

Hospitality employees’ technology adoption at the workplace: evidence from a meta-analysis

Guo

Zhu²,

Lin³

et al. 2022

IJCHM

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Purpose This research aims to use meta-analytical structural equation modeling to look into how hospitality employees use technology at work. It further investigates if the relationship between the constructs of the technology acceptance model (TAM) is moderated by job level (supervisory versus non-supervisory) and different cultures (eastern versus western). Design/methodology/approach In total, 140 relationships from 30 empirical studies (N = 6,728) were used in this study’s data analysis in accordance with the preferred reporting items for systematic reviews and meta-analysis. Findings The findings demonstrated that perceived usefulness had a greater influence on “user attitudes” and “acceptance intention” than perceived ease of use. This study also identified that the effect sizes of relationships among TAM constructs appeared to be greater for supervisory employees or in eastern cultures than for those in non-supervisory roles or western cultures. Practical implications The findings provide valuable information for practitioners to increase the adoption of employee technology. Practitioners need to focus on the identification of hospitality employee attitudes, social norms and perceived ease of use. Moreover, hospitality practitioners should be cautious when promoting the adoption of new technologies to employees, as those at different levels may respond differently. Originality/value This is the very first empirical investigation to meta-analyze the predictive power of the TAM in the context of hospitality staff technology adoption at the workplace. The findings also demonstrated differences in the predictive power of TAM constructs according to job level and cultural differences.

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Section: Discussionmentioning

confidence: 99%