{"title":"印度的技术准备程度和老年公民对移动医疗服务的接受程度","authors":"Ajitabh Dash, S. Mohanty","doi":"10.1108/dprg-11-2022-0126","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe purpose of this study was to create a theoretical model by combining the technology acceptance model (TAM) with the theory of technology readiness (TR) and then empirically test it to identify the key factors influencing older citizens’ intention to adopt and use mobile health (m-health), which has emerged as a tool to facilitate health-care rights for all.\n\n\nDesign/methodology/approach\nThe convenience sampling method was used to collect data from 465 respondents aged 60 and up from the Delhi-National capital region of India using a questionnaire survey method. The data collected for this study were analyzed using partial least squares structural equation modeling using SmartPLS 3.0.\n\n\nFindings\nThe study’s findings indicate that all TR components influence perceived usefulness (PU) and ease of use. The exception is discomfort, which does not affect perceived ease of use (PEOU). Furthermore, PU and PEOU influenced the older citizen’s attitude toward m-health, and attitude influenced their intention to use m-health applications.\n\n\nOriginality/value\nTo the best of the authors’ knowledge, this is the first study to apply the TAM in combination with TR index to examine the acceptability of m-health consulting by the older citizen in an emerging economy like India.\n","PeriodicalId":56357,"journal":{"name":"Digital Policy Regulation and Governance","volume":"5 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technology readiness and the older citizen’s acceptance of m-health services in India\",\"authors\":\"Ajitabh Dash, S. Mohanty\",\"doi\":\"10.1108/dprg-11-2022-0126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThe purpose of this study was to create a theoretical model by combining the technology acceptance model (TAM) with the theory of technology readiness (TR) and then empirically test it to identify the key factors influencing older citizens’ intention to adopt and use mobile health (m-health), which has emerged as a tool to facilitate health-care rights for all.\\n\\n\\nDesign/methodology/approach\\nThe convenience sampling method was used to collect data from 465 respondents aged 60 and up from the Delhi-National capital region of India using a questionnaire survey method. The data collected for this study were analyzed using partial least squares structural equation modeling using SmartPLS 3.0.\\n\\n\\nFindings\\nThe study’s findings indicate that all TR components influence perceived usefulness (PU) and ease of use. The exception is discomfort, which does not affect perceived ease of use (PEOU). Furthermore, PU and PEOU influenced the older citizen’s attitude toward m-health, and attitude influenced their intention to use m-health applications.\\n\\n\\nOriginality/value\\nTo the best of the authors’ knowledge, this is the first study to apply the TAM in combination with TR index to examine the acceptability of m-health consulting by the older citizen in an emerging economy like India.\\n\",\"PeriodicalId\":56357,\"journal\":{\"name\":\"Digital Policy Regulation and Governance\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-02-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Policy Regulation and Governance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/dprg-11-2022-0126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Policy Regulation and Governance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/dprg-11-2022-0126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Technology readiness and the older citizen’s acceptance of m-health services in India
Purpose
The purpose of this study was to create a theoretical model by combining the technology acceptance model (TAM) with the theory of technology readiness (TR) and then empirically test it to identify the key factors influencing older citizens’ intention to adopt and use mobile health (m-health), which has emerged as a tool to facilitate health-care rights for all.
Design/methodology/approach
The convenience sampling method was used to collect data from 465 respondents aged 60 and up from the Delhi-National capital region of India using a questionnaire survey method. The data collected for this study were analyzed using partial least squares structural equation modeling using SmartPLS 3.0.
Findings
The study’s findings indicate that all TR components influence perceived usefulness (PU) and ease of use. The exception is discomfort, which does not affect perceived ease of use (PEOU). Furthermore, PU and PEOU influenced the older citizen’s attitude toward m-health, and attitude influenced their intention to use m-health applications.
Originality/value
To the best of the authors’ knowledge, this is the first study to apply the TAM in combination with TR index to examine the acceptability of m-health consulting by the older citizen in an emerging economy like India.
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