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Article . 2012
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Article . 2012
License: CC BY
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Measurement of the demographic inclination towards store image

Authors: Kumar, Atul; Vinaydeep Brar;

Measurement of the demographic inclination towards store image

Abstract

This study was aimed to measure the demographic inclination towards the store image of shoppers while visiting mall based specialty stores. The study yielded rich research results. Most notably, a significant relationship has been found between demographic characteristics viz. gender, age group, education, occupation and household income of respondents and inclination towards store image. Further, Results depict a high degree of demographic inclination towards store image among respondents. A good store image lures customers to make a purchase and impulse purchase too, spend more time & money in the store, revisit the store and also maintain customer interest, increase frequency to visit the store, motivate customers to spread positive word of mouth. Therefore, a store needs to be simple to navigate; it must appeal to shopper's sensory perceptions and must create a sense of belonging, a sense of relationship, a sense of security or assurance and a sense of pleasure in the shopping experience in order to flourish, thrive, and germinate by laps & bounce in the Indian retail market.

{"references": ["Berman, B. and Evans, J. R. (2008), Retail Management- A Strategic Approach, Pearson Education, Inc., US.", "Marks, R. D. (1976), \"Operationalising the Concept of Store Image\", Journal of Retailing, 52 (3), pp. 37-46."]}

Keywords

Demographics, Store Image, Specialty Store, Shopping Mall, Shoppers Pune

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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.
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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
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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