Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses

This research proposes an updated version of homestay indicators for 10 existing component-level homestay requirements. The updated indicators were aimed to replace the decade-old original indicators for Thai homestay businesses. Besides, the 31 original homestay indictors were not statistically val...

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Main Author: Nawhath Thanvisitthpon
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/2/936
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spelling doaj-69a220a25c5b4a7795796ef395532a922021-01-19T00:03:37ZengMDPI AGSustainability2071-10502021-01-011393693610.3390/su13020936Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay BusinessesNawhath Thanvisitthpon0Department of Architectural Technology, Rajamangala University of Technology Thanyaburi, Phathumthani 12110, ThailandThis research proposes an updated version of homestay indicators for 10 existing component-level homestay requirements. The updated indicators were aimed to replace the decade-old original indicators for Thai homestay businesses. Besides, the 31 original homestay indictors were not statistically validated. In this study, structural equation modeling (SEM) was used to determine the statistical relevancy between the updated homestay indicators and the components. The SEM analysis involved two steps: exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The EFA statistically regrouped the 31 updated indictors by six new homestay components. The six components and 31 updated indicators were further validated by CFA to determine the factor loadings and statistical reliability of the components and indicators. The factor loadings indicate the levels of importance that homestay guests attach to different homestay components and indicators. Therefore, Thai homestay operators should give priority to the components and indicators with high factor loadings.https://www.mdpi.com/2071-1050/13/2/936homestayindicator standardvalidationtourism management
collection DOAJ
language English
format Article
sources DOAJ
author Nawhath Thanvisitthpon
spellingShingle Nawhath Thanvisitthpon
Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses
Sustainability
homestay
indicator standard
validation
tourism management
author_facet Nawhath Thanvisitthpon
author_sort Nawhath Thanvisitthpon
title Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses
title_short Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses
title_full Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses
title_fullStr Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses
title_full_unstemmed Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses
title_sort statistically validated component- and indicator-level requirements for sustainable thai homestay businesses
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-01-01
description This research proposes an updated version of homestay indicators for 10 existing component-level homestay requirements. The updated indicators were aimed to replace the decade-old original indicators for Thai homestay businesses. Besides, the 31 original homestay indictors were not statistically validated. In this study, structural equation modeling (SEM) was used to determine the statistical relevancy between the updated homestay indicators and the components. The SEM analysis involved two steps: exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The EFA statistically regrouped the 31 updated indictors by six new homestay components. The six components and 31 updated indicators were further validated by CFA to determine the factor loadings and statistical reliability of the components and indicators. The factor loadings indicate the levels of importance that homestay guests attach to different homestay components and indicators. Therefore, Thai homestay operators should give priority to the components and indicators with high factor loadings.
topic homestay
indicator standard
validation
tourism management
url https://www.mdpi.com/2071-1050/13/2/936
work_keys_str_mv AT nawhaththanvisitthpon statisticallyvalidatedcomponentandindicatorlevelrequirementsforsustainablethaihomestaybusinesses
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