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

Parvin, S; Wang, P; Uddin, J

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

Parvin, S Wang, P Uddin, J

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Publication Type:: Journal Article
Citation:: Cogent Business and Management, 2016, 3 (1)
Issue Date:: 2016-12-31

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Field	Value	Language
dc.contributor.author	Parvin, S	en_US
dc.contributor.author	Wang, P	en_US
dc.contributor.author	Uddin, J	en_US
dc.date.issued	2016-12-31	en_US
dc.identifier.citation	Cogent Business and Management, 2016, 3 (1)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/107575
dc.description.abstract	© 2016 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. 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.	en_US
dc.relation.ispartof	Cogent Business and Management	en_US
dc.relation.isbasedon	10.1080/23311975.2016.1199110	en_US
dc.title	Using best-worst scaling method to examine consumers’ value preferences: A multidimensional perspective	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	3	en_US
utslib.for	1505 Marketing	en_US
utslib.for	1503 Business and Management	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Marketing Discipline
utslib.copyright.status	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	3	en_US

Abstract:

© 2016 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/107575