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Indian Travellers’ Adoption of Airbnb Platform
Information Systems Frontiers, Volume: 24, Issue: 1, Pages: 77 - 96
Swansea University Authors:
Nripendra Rana , Yogesh Dwivedi
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Copyright: The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License
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DOI (Published version): 10.1007/s10796-020-10060-1
Abstract
Much of the existing scholarly debate on sharing economy to date has focused on the use of technology in developed countries. However, the recent upsurge of mobile technology adoption in developing countries has provided suitable breeding ground for sharing economy. The lack of native theories in to...
Published in: | Information Systems Frontiers |
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ISSN: | 1387-3326 1572-9419 |
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Springer US
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa59641 |
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2022-03-16T14:51:25.4306679 v2 59641 2022-03-16 Indian Travellers’ Adoption of Airbnb Platform b00e18aa519cd578d4b242e376e70331 0000-0003-1105-8729 Nripendra Rana Nripendra Rana true false d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2022-03-16 BBU Much of the existing scholarly debate on sharing economy to date has focused on the use of technology in developed countries. However, the recent upsurge of mobile technology adoption in developing countries has provided suitable breeding ground for sharing economy. The lack of native theories in tourism and hospitality sector with scare utilization of unified theory of acceptance and use of technology (UTAUT) provide necessity for this research. This study adapted meta-UTAUT model as theoretical lens and extended the model with hedonic motivation, trust, and self-efficacy. Based on data from 301 potential Indian consumers, the results underscored the central role of attitude that significantly mediated the effects of effort expectancy, social influence, and facilitating conditions on consumer intention to use Airbnb. Meanwhile, performance expectancy emerged as significant direct determinant of intention alongside attitude, trust, and self-efficacy. The proposed model explained as much as 65% variance on Indian consumer’s intention to use Airbnb. Journal Article Information Systems Frontiers 24 1 77 96 Springer US 1387-3326 1572-9419 Sharing economy, Emerging economy, Airbnb, UTAUT, Adoption, India, Tourism, Hospitality 1 2 2022 2022-02-01 10.1007/s10796-020-10060-1 COLLEGE NANME Business COLLEGE CODE BBU Swansea University University of Bradford 2022-03-16T14:51:25.4306679 2022-03-16T14:45:01.5323524 Faculty of Humanities and Social Sciences School of Management - Business Management Kuttimani Tamilmani 1 Nripendra Rana 0000-0003-1105-8729 2 Robin Nunkoo 3 Vishnupriya Raghavan 4 Yogesh Dwivedi 0000-0002-5547-9990 5 59641__22613__cdde8076b6164f32b5f126618cdcf8bc.pdf 10796_2020_Article_10060.pdf 2022-03-16T14:45:01.5321364 Output 678918 application/pdf Version of Record true Copyright: The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License true eng http://creativecommons.org/licenses/by/4.0/ |
title |
Indian Travellers’ Adoption of Airbnb Platform |
spellingShingle |
Indian Travellers’ Adoption of Airbnb Platform Nripendra Rana Yogesh Dwivedi |
title_short |
Indian Travellers’ Adoption of Airbnb Platform |
title_full |
Indian Travellers’ Adoption of Airbnb Platform |
title_fullStr |
Indian Travellers’ Adoption of Airbnb Platform |
title_full_unstemmed |
Indian Travellers’ Adoption of Airbnb Platform |
title_sort |
Indian Travellers’ Adoption of Airbnb Platform |
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b00e18aa519cd578d4b242e376e70331 d154596e71b99ad1285563c8fdd373d7 |
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b00e18aa519cd578d4b242e376e70331_***_Nripendra Rana d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi |
author |
Nripendra Rana Yogesh Dwivedi |
author2 |
Kuttimani Tamilmani Nripendra Rana Robin Nunkoo Vishnupriya Raghavan Yogesh Dwivedi |
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container_title |
Information Systems Frontiers |
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24 |
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77 |
publishDate |
2022 |
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Swansea University |
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1387-3326 1572-9419 |
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10.1007/s10796-020-10060-1 |
publisher |
Springer US |
college_str |
Faculty of Humanities and Social Sciences |
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description |
Much of the existing scholarly debate on sharing economy to date has focused on the use of technology in developed countries. However, the recent upsurge of mobile technology adoption in developing countries has provided suitable breeding ground for sharing economy. The lack of native theories in tourism and hospitality sector with scare utilization of unified theory of acceptance and use of technology (UTAUT) provide necessity for this research. This study adapted meta-UTAUT model as theoretical lens and extended the model with hedonic motivation, trust, and self-efficacy. Based on data from 301 potential Indian consumers, the results underscored the central role of attitude that significantly mediated the effects of effort expectancy, social influence, and facilitating conditions on consumer intention to use Airbnb. Meanwhile, performance expectancy emerged as significant direct determinant of intention alongside attitude, trust, and self-efficacy. The proposed model explained as much as 65% variance on Indian consumer’s intention to use Airbnb. |
published_date |
2022-02-01T04:17:07Z |
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1763754143463243776 |
score |
10.950466 |