UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 3
March-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1803006


Registration ID:
180548

Page Number

25-27

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Title

Customers’ Online Shopping Behavior Using Data Mining Methods

Abstract

Online shopping is a developed phenomenon in growing nowadays. The popularity of online shopping has raised the awareness of the retailers to focus on this area. Different online factors, impact online consumers’ to behave differently depend upon the environment of different regions. Therefore, this study was to determine the online shopping customer’s behavior and the relationship between the usefulness and their purchase intention. To see the impact of different factors of customers’ online shopping behavior, the paper focus on these five online factors as financial risk, product quality risk, delivery time risk, online payment security risk, and the user friendly website design. The realistic data was collected through a questionnaire study and it was distributed among 100 respondents through hand and online. The findings of this paper mainly concentrated on two online shopping companies as Amazon and Flip kart. The most influential and significant factors are based on their impact to consumers’ online shopping behavior. Through the data mining r performance of financial risk, product quality risk and delivery time risk. While the other attributes such as, payment security and user friendly website design may have a significant classification method the data are classified and predicated using Random tree algorithm in Weka tool. The conclusion of this paper can be depicted the usefulness and the customers’ shopping behavior in a better way .

Key Words

Online shopping behavior, Quality risk, Deliver time risk, online payment trust & security ,Website design

Cite This Article

"Customers’ Online Shopping Behavior Using Data Mining Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.25-27, March-2018, Available :http://www.jetir.org/papers/JETIR1803006.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Customers’ Online Shopping Behavior Using Data Mining Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp25-27, March-2018, Available at : http://www.jetir.org/papers/JETIR1803006.pdf

Publication Details

Published Paper ID: JETIR1803006
Registration ID: 180548
Published In: Volume 5 | Issue 3 | Year March-2018
DOI (Digital Object Identifier):
Page No: 25-27
Country: Dindigul District, Tamil Nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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