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Barriers to online shopping

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2019Publisher:Inderscience PublishersJournal:International Journal of Business Information Systems, volume 30, page 31 (issn: 1746-0972, eissn: 1746-0980,

Authors: Ruby Jain; Madhu Kulhar;

doi: 10.1504/ijbis.2019.10018103 , 10.1504/ijbis.2019.097043

Barriers to online shopping

- Summary
- Metrics

Abstract

Certain factors affect the consumer buying behaviour while purchasing products online. Out of these, some commonness is discussed in the present paper which affects the adoption of online shopping. A simple search with keywords 'online shopping', 'online shopping of apparels and accessories', 'factors affecting online shopping', 'drivers of online shopping' and 'barriers of online shopping' has been done with Google Scholar. Substantial studies have been conducted globally to find out the factors affecting online shopping adoption. Different models and frameworks are available to understand these factors and it is difficult to present all work altogether. Thus, this paper tries to present a comprehensive framework of the relevant literature as barriers to online shopping. All available studies from 'anytime' referred till the date has been included to build a framework of reviews.

Related Organizations

University of Rajasthan
India

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	citations 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).	9
	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.	Top 10%