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In-Store Stimuli and Impulsive Buying Behaviour

Modeling Through Regression Equation
Authors: Chandan Parsad; Sanjeev Prashar; Sai Vijay Tata; Mukesh Kumar;

In-Store Stimuli and Impulsive Buying Behaviour

Abstract

The objective of this article is to investigate the influence of retail shopping environment and impulsive buying tendency on unplanned buying. With this objective, this research examines how display of the goods inside the store, appearance and helpfulness of store employees and crowd inside the retail store affect impulsive buying and such buying tendency among Indian shoppers. Using multiple regression analysis, it is observed that retail shopping environment considerably influences the impulsive buying tendency of the shoppers and this tendency leads to spontaneous buying. The results reveal that retail shopping environment and consumer impulse buying tendency encourage impulse buying positively. In addition, it is found that store employees have no influence on impulse buying tendency among Indian shoppers.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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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!
6
Top 10%
Average
Top 10%
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