Using best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective

Unlike most prior studies, this study reconceptualizes the perceived value construct from the multidimensional perspective by incorporating the aesthetic and altruistic values from Holbrook’s value typology with the Theory of Consumption Value. Moreover, this study is a pioneer in measuring the cons...

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Autores principales:	Shehely Parvin, Paul Wang, Jashim Uddin
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2016
Materias:	best-worst scaling (bws) perceived value services market segments clusters Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/05400b11c21c4bccb004ae92009a4f4f
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id	oai:doaj.org-article:05400b11c21c4bccb004ae92009a4f4f
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spelling	oai:doaj.org-article:05400b11c21c4bccb004ae92009a4f4f2021-12-02T14:35:45ZUsing best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective2331-197510.1080/23311975.2016.1199110https://doaj.org/article/05400b11c21c4bccb004ae92009a4f4f2016-12-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2016.1199110https://doaj.org/toc/2331-1975Unlike most prior studies, this study reconceptualizes the perceived value construct from the multidimensional perspective by incorporating the aesthetic and altruistic values from Holbrook’s value typology with the Theory of Consumption Value. Moreover, this study is a pioneer in measuring the construct of multidimensional perceived value with the Best-Worst Scaling method instead of rating scales to fill methodological deficiency in the literature. This study collected data through web-based survey using online consumer panels. Hierarchical cluster analysis used as the major data analysis technique. Results indicate consumers can be segmented on the basis of their preferences. Therefore, the use of the cluster analysis of the value dimensions would permit practitioners to develop more effective market segmentation strategies in order to attain sustainable competitive advantage in the growing hospitality and tourism industry.Shehely ParvinPaul WangJashim UddinTaylor & Francis Grouparticlebest-worst scaling (bws)perceived valueservices market segmentsclustersBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 3, Iss 1 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	best-worst scaling (bws) perceived value services market segments clusters Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	best-worst scaling (bws) perceived value services market segments clusters Business HF5001-6182 Management. Industrial management HD28-70 Shehely Parvin Paul Wang Jashim Uddin Using best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective
description	Unlike most prior studies, this study reconceptualizes the perceived value construct from the multidimensional perspective by incorporating the aesthetic and altruistic values from Holbrook’s value typology with the Theory of Consumption Value. Moreover, this study is a pioneer in measuring the construct of multidimensional perceived value with the Best-Worst Scaling method instead of rating scales to fill methodological deficiency in the literature. This study collected data through web-based survey using online consumer panels. Hierarchical cluster analysis used as the major data analysis technique. Results indicate consumers can be segmented on the basis of their preferences. Therefore, the use of the cluster analysis of the value dimensions would permit practitioners to develop more effective market segmentation strategies in order to attain sustainable competitive advantage in the growing hospitality and tourism industry.
format	article
author	Shehely Parvin Paul Wang Jashim Uddin
author_facet	Shehely Parvin Paul Wang Jashim Uddin
author_sort	Shehely Parvin
title	Using best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective
title_short	Using best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective
title_full	Using best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective
title_fullStr	Using best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective
title_full_unstemmed	Using best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective
title_sort	using best-worst scaling method to examine consumers’ value preferences: a multidimensional perspective
publisher	Taylor & Francis Group
publishDate	2016
url	https://doaj.org/article/05400b11c21c4bccb004ae92009a4f4f
work_keys_str_mv	AT shehelyparvin usingbestworstscalingmethodtoexamineconsumersvaluepreferencesamultidimensionalperspective AT paulwang usingbestworstscalingmethodtoexamineconsumersvaluepreferencesamultidimensionalperspective AT jashimuddin usingbestworstscalingmethodtoexamineconsumersvaluepreferencesamultidimensionalperspective
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Using best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective

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