Technology Acceptance Model in Hospitality Management: A Systematic Review
Wushuang Li et al.
What the paper says
The purpose of this paper is to perform a systematic review of the representative research of the Technology Acceptance Model (TAM) application within the hospitality literature. The present study used the Web of Science and Scopus databases to identify and review 119 relevant studies spanning 2008-2024. The review concerns the analysis and classification of theories, the empirical context, and causal analysis in the relevant studies. The findings of this study indicate that Social Identity Theory is the most frequently used theoretical framework for modifying and extending the TAM. Furthermore, the study identifies moderators and mediators, including technology attributes, instrumental motives, and emotional motives. Finally, the most researched hospitality technologies are social media, online booking systems, and artificial intelligence (AI). This paper identifies some knowledge gaps in the current literature and suggests potential agendas for further investigation. Moreover, this paper proposes a comprehensive model for advancing knowledge of technology acceptance in hospitality management.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.