Sachin Kumar, Neeraj Dhiman, Honey Kanojia, R. Joshi
{"title":"是什么阻碍了千禧一代采用酒店预订应用程序?基于扩展创新阻力理论的实证分析","authors":"Sachin Kumar, Neeraj Dhiman, Honey Kanojia, R. Joshi","doi":"10.1108/fs-10-2021-0209","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps.\n\n\nDesign/methodology/approach\nA quantitative technique was followed to collect the data from the tourists, and partial least square structural equation modeling (PLS-SEM) technique was adopted to validate the proposed model.\n\n\nFindings\nSignificant predictors of discontinuance intentions of hotel booking apps are usage barrier, values barrier, risk barrier, lack of facilitating conditions and digital self-efficacy.\n\n\nPractical implications\nThe results of this study provide useful insights for tourism stakeholders and app developers to understand in real terms the setbacks that might be a hindrance to the users of such apps for hotel booking.\n\n\nOriginality/value\nDespite the increasing focus of scholars toward understanding the determinants of technology adoption, the present study has extended innovation resistance theory with three novel constructs: social dependency, lack of facilitating conditions and digital self-efficacy.\n","PeriodicalId":51620,"journal":{"name":"Foresight","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What resists millennials to adopt hotel booking apps? An empirical analysis based on extended innovation resistance theory\",\"authors\":\"Sachin Kumar, Neeraj Dhiman, Honey Kanojia, R. Joshi\",\"doi\":\"10.1108/fs-10-2021-0209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThis study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps.\\n\\n\\nDesign/methodology/approach\\nA quantitative technique was followed to collect the data from the tourists, and partial least square structural equation modeling (PLS-SEM) technique was adopted to validate the proposed model.\\n\\n\\nFindings\\nSignificant predictors of discontinuance intentions of hotel booking apps are usage barrier, values barrier, risk barrier, lack of facilitating conditions and digital self-efficacy.\\n\\n\\nPractical implications\\nThe results of this study provide useful insights for tourism stakeholders and app developers to understand in real terms the setbacks that might be a hindrance to the users of such apps for hotel booking.\\n\\n\\nOriginality/value\\nDespite the increasing focus of scholars toward understanding the determinants of technology adoption, the present study has extended innovation resistance theory with three novel constructs: social dependency, lack of facilitating conditions and digital self-efficacy.\\n\",\"PeriodicalId\":51620,\"journal\":{\"name\":\"Foresight\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Foresight\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/fs-10-2021-0209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"REGIONAL & URBAN PLANNING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Foresight","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/fs-10-2021-0209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"REGIONAL & URBAN PLANNING","Score":null,"Total":0}
What resists millennials to adopt hotel booking apps? An empirical analysis based on extended innovation resistance theory
Purpose
This study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps.
Design/methodology/approach
A quantitative technique was followed to collect the data from the tourists, and partial least square structural equation modeling (PLS-SEM) technique was adopted to validate the proposed model.
Findings
Significant predictors of discontinuance intentions of hotel booking apps are usage barrier, values barrier, risk barrier, lack of facilitating conditions and digital self-efficacy.
Practical implications
The results of this study provide useful insights for tourism stakeholders and app developers to understand in real terms the setbacks that might be a hindrance to the users of such apps for hotel booking.
Originality/value
Despite the increasing focus of scholars toward understanding the determinants of technology adoption, the present study has extended innovation resistance theory with three novel constructs: social dependency, lack of facilitating conditions and digital self-efficacy.
期刊介绍:
■Social, political and economic science ■Sustainable development ■Horizon scanning ■Scientific and Technological Change and its implications for society and policy ■Management of Uncertainty, Complexity and Risk ■Foresight methodology, tools and techniques