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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 Psychology and Marke...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
Psychology and Marketing
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
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Developing a multi‐dimensional product evaluation scale

Authors: Saeed Tajdini; Edward Ramirez; Gary L. Frankwick;

Developing a multi‐dimensional product evaluation scale

Abstract

AbstractThis research develops and validates a scale to assess products on salient characteristics that influence consumers’ decision‐making. The product characteristics (PC) scale assesses products on 12 major dimensions using 34‐items. Next, the paper demonstrates the scale's validity and value in a study of the effects of PC on the consumer information search effort, impulse buying, and word‐of‐mouth behavior, representing different stages of the consumer decision‐making process. The findings highlight the need for a revitalized examination of the consumer decision‐making process with a focus on PC by showing that (1) PC have significant direct effects on a variety of critical marketing outcomes, (2) these effects interact with demographic variables such as age and gender that are currently undergoing major shifts, and (3) these effects vary across offline and online settings. Thus, the findings highlight the value of incorporating PC into models of consumer behavior especially in the current era of shifting demographics and e‐commerce. To this end, this study contributes to the literature by offering a multifaceted, reliable, and valid scale to assess products on a wide range of characteristics that can be used in the study of any marketing‐related phenomena that can be assumed to be product‐contingent.

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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).
    5
    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.
    Average
Powered by OpenAIRE graph
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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!
5
Top 10%
Average
Average
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