Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model

The purpose of this research is to investigate the accountability of the extended technology acceptance model (TAM) in the domain of sharing accommodation platform service. Based on TAM, this research derived attributes such as network externalities, trust, interactivity, ease of use, usefulness, an...

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Main Authors: Jiwoo Jung, Eunkyung Park, Joonho Moon, Won Seok Lee
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/3/1185
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spelling doaj-c95bdb0b743f449891c95d4921611d852021-01-24T00:01:22ZengMDPI AGSustainability2071-10502021-01-01131185118510.3390/su13031185Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance ModelJiwoo Jung0Eunkyung Park1Joonho Moon2Won Seok Lee3Department of Leisure and Tourism, Kyonggi University, 24, Kyonggidae-ro 9-gil, Seodaemun-gu, Seoul 03753, KoreaDepartment of Hotel & Tourism, Daegu University, 201 Daegudae-ro, Gyeongsan-si, Gyeongsangbuk-do 38453, KoreaDepartment of Tourism Administration, Kangwon National University, Hyoja2-Dong, Kangwon University Rd, Chooncheon 200-701, KoreaDepartment of Tourism and Recreation, Kyonggi University, Seoul 03753, KoreaThe purpose of this research is to investigate the accountability of the extended technology acceptance model (TAM) in the domain of sharing accommodation platform service. Based on TAM, this research derived attributes such as network externalities, trust, interactivity, ease of use, usefulness, and intention to repurchase. This study selects Airbnb as the context. A survey was adopted as the main instrument of this research. The total number of valid observations is 450. For the data analysis, this study conducted frequency analysis, confirmatory factor analysis, correlation matrix, reliability test, and path analysis using structural equation modeling. The results show that network externalities are essential to account for trust and interactivity. In addition, the results show that interactivity is an influential element to both ease of use and usefulness. Moreover, usefulness is affected by trust and interactivity. Furthermore, this research reveals the positive association between usefulness and intention to repurchase.https://www.mdpi.com/2071-1050/13/3/1185Airbnbextended technology acceptance modelintention to repurchasetrustease of useusefulness
collection DOAJ
language English
format Article
sources DOAJ
author Jiwoo Jung
Eunkyung Park
Joonho Moon
Won Seok Lee
spellingShingle Jiwoo Jung
Eunkyung Park
Joonho Moon
Won Seok Lee
Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model
Sustainability
Airbnb
extended technology acceptance model
intention to repurchase
trust
ease of use
usefulness
author_facet Jiwoo Jung
Eunkyung Park
Joonho Moon
Won Seok Lee
author_sort Jiwoo Jung
title Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model
title_short Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model
title_full Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model
title_fullStr Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model
title_full_unstemmed Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model
title_sort exploration of sharing accommodation platform airbnb using an extended technology acceptance model
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-01-01
description The purpose of this research is to investigate the accountability of the extended technology acceptance model (TAM) in the domain of sharing accommodation platform service. Based on TAM, this research derived attributes such as network externalities, trust, interactivity, ease of use, usefulness, and intention to repurchase. This study selects Airbnb as the context. A survey was adopted as the main instrument of this research. The total number of valid observations is 450. For the data analysis, this study conducted frequency analysis, confirmatory factor analysis, correlation matrix, reliability test, and path analysis using structural equation modeling. The results show that network externalities are essential to account for trust and interactivity. In addition, the results show that interactivity is an influential element to both ease of use and usefulness. Moreover, usefulness is affected by trust and interactivity. Furthermore, this research reveals the positive association between usefulness and intention to repurchase.
topic Airbnb
extended technology acceptance model
intention to repurchase
trust
ease of use
usefulness
url https://www.mdpi.com/2071-1050/13/3/1185
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