{"title":"Factors correlated with online travel service adoption: a meta-analysis","authors":"Zhangxiang Zhu, Liheng Liao, Bing Hu","doi":"10.1108/jhtt-10-2020-0284","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis paper aims to conduct a meta-analysis to explore the strength of the path relationship in the proposed model for online travel service adoption and the moderating effect of country or regional economic development level.\n\n\nDesign/methodology/approach\nA meta-analysis was conducted based on 46 empirical studies to verify a proposed model for users’ intention to adopt online travel service.\n\n\nFindings\nThe relationship between technology acceptance model and theory of planned behavior variables was found to be valid for online travel scenarios; moreover, perceived trust positively correlated with attitude and adoption intention. Meanwhile, personal innovation, perceived enjoyment and cost-effectiveness positively correlated with adoption intention. Except for the correlations between subjective norms and adoption intention, the correlations between all other variables in the model were significantly moderated by the economic development level of a country or region.\n\n\nOriginality/value\nThis paper was conducted to obtain a unified conclusion about the research field of online travel service adoption. To the best of the authors’ knowledge, its content is original.\n","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospitality and Tourism Technology","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jhtt-10-2020-0284","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 2
Abstract
Purpose
This paper aims to conduct a meta-analysis to explore the strength of the path relationship in the proposed model for online travel service adoption and the moderating effect of country or regional economic development level.
Design/methodology/approach
A meta-analysis was conducted based on 46 empirical studies to verify a proposed model for users’ intention to adopt online travel service.
Findings
The relationship between technology acceptance model and theory of planned behavior variables was found to be valid for online travel scenarios; moreover, perceived trust positively correlated with attitude and adoption intention. Meanwhile, personal innovation, perceived enjoyment and cost-effectiveness positively correlated with adoption intention. Except for the correlations between subjective norms and adoption intention, the correlations between all other variables in the model were significantly moderated by the economic development level of a country or region.
Originality/value
This paper was conducted to obtain a unified conclusion about the research field of online travel service adoption. To the best of the authors’ knowledge, its content is original.
期刊介绍：
The Journal of Hospitality and Tourism Technology is the only journal dedicated solely for research in technology and e-business in tourism and hospitality. It is a bridge between academia and industry through the intellectual exchange of ideas, trends and paradigmatic changes in the fields of hospitality, IT and e-business. It covers: -E-Marketplaces, electronic distribution channels, or e-Intermediaries -Internet or e-commerce business models -Self service technologies -E-Procurement -Social dynamics of e-communication -Relationship Development and Retention -E-governance -Security of transactions -Mobile/Wireless technologies in commerce -IT control and preparation for disaster -Virtual reality applications -Word of Mouth. -Cross-Cultural differences in IT use -GPS and Location-based services -Biometric applications -Business intelligence visualization -Radio Frequency Identification applications -Service-Oriented Architecture of business systems -Technology in New Product Development
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