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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Recolector de Cienci...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
International Journal of Business Environment
Article . 2016 . Peer-reviewed
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Hedonic motivations in online consumption behaviour

Authors: Martínez-López, Francisco J.; Pla-Garcia, Cintia; Gázquez-Abad, Juan Carlos; Rodríguez-Ardura, Inma;

Hedonic motivations in online consumption behaviour

Abstract

The potential of the web and of e-commerce systems to provide hedonic, non-functional value to online consumption experiences is known, as is the importance that consumers give to hedonic benefits. However, in the absence of a thorough approach and complete proposal, the hedonic aspects of online consumption (including its particular facet of shopping) remain only partially investigated. This study aims to analyse and exhaustively delimit the dimensional structure related to the hedonic motivations for online consumption. An in-depth literature review was carried out, permitting the proposal of an aprioristic base structure. Next, qualitative (focus groups and personal interviews) and quantitative methods (survey, exploratory and detailed confirmatory factor analyses) were sequentially applied in order to purify and ultimately validate a full structure (i.e., enduring involvement, visual appeal, sensation seeking, escape, intrinsic enjoyment, hang out, socialise, self-expression and role shopping) and their respective measurement scales. These are original contributions to the extant knowledge relating to web-based consumer behaviour.

Keywords

validation, online consumption, web usage, full dimensional structure, measurement scales, e-commerce, consumer behaviour, electronic commerce, hedonic motivation, online shopping

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    21
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Average
Average
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