Predicting purchase intention of online consumers using discriminant analysis approach

Arulkumar, S., and Desti, Kannaiah (2015) Predicting purchase intention of online consumers using discriminant analysis approach. European Journal of Business and Management, 7 (4). pp. 319-324.

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Abstract

The Internet plays a vital role in the business world today. It has created a tremendous volume of business transactions all over the world. Internet not only introduces a new way of doing business, it also changes consumer lifestyle. Consumers can buy products or services via the Internet without going to a physical store. Therefore, it is very important to investigate this phenomenon, seeking to determine the variables that actually motivate consumers to adopt internet shopping. In this context, this study attempts to formulate a discriminant equation on the basis of some established predictors and separate the segment into suspects and prospects. It will be healpful for the retailers can make a market assessment about their brand through this approach which will in turn, help the marketer to reduce the market risk.

Item ID: 38042
Item Type: Article (Scholarly Work)
ISSN: 2222-2839
Keywords: internet shopping, online consumers, purchase intention, iiscriminant analysis
Additional Information:

The journal is licensed under a Creative Commons Attribution 3.0 Unported (CC BY 3.0) License.

Date Deposited: 02 Apr 2015 02:30
FoR Codes: 15 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 1505 Marketing > 150501 Consumer-Oriented Product or Service Development @ 50%
15 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 1505 Marketing > 150504 Marketing Measurement @ 50%
SEO Codes: 91 ECONOMIC FRAMEWORK > 9105 Measurement Standards and Calibration Services > 910504 Service Industries Standards and Calibrations @ 50%
91 ECONOMIC FRAMEWORK > 9199 Other Economic Framework > 919999 Economic Framework not elsewhere classified @ 50%
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