From perceptions to propositions: Profiling customer value across retail contexts
Rintamäki, Timo and
Kaisa Kirves
Journal of Retailing and Consumer Services, 2017, vol. 37, issue C, 159-167
Abstract:
The core claim made in the paper is that retailers wishing to identify and manage competitive customer value propositions succeed by measuring and modeling customer value perceptions with reference to specific contexts relevant for their competitive advantage. Hence, the purpose of the paper is to present development and validation of a scale for measuring and modeling customer value and to illustrate how contextual perspective contributes to the evaluation of customer value propositions. The findings, based on empirical data from Finland, Japan, and the U.S., validate a framework wherein customer value reflects economic, functional, emotional, and symbolic dimensions of value, associating with satisfaction and word of mouth effects. The customer value profiles generated on this basis provide analytical insight for evaluating how country, channel, product category, and competitive situation influence the criteria for contextual evaluation of customer value propositions.
Keywords: Customer value; Customer value proposition; Retail contexts (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0969698915301041
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:37:y:2017:i:c:p:159-167
DOI: 10.1016/j.jretconser.2016.07.016
Access Statistics for this article
Journal of Retailing and Consumer Services is currently edited by Harry Timmermans
More articles in Journal of Retailing and Consumer Services from Elsevier
Bibliographic data for series maintained by Catherine Liu ().