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Predicting Internet/ e‐commerce use

Randall S. Sexton (Associate Professor in the Computer Information Systems Department, Southwest Missouri State University, Springfield, Missouri, USA)
Richard A. Johnson (Associate Professor in the Computer Information Systems Department, Southwest Missouri State University, Springfield, Missouri, USA)
Michael A. Hignite (Associate Professor in the Computer Information Systems Department, Southwest Missouri State University, Springfield, Missouri, USA)

Internet Research

ISSN: 1066-2243

Article publication date: 1 December 2002

5956

Abstract

Use of the Internet continues to grow at an explosive rate. While entertainment, education and communication serve as important applications of the Internet, e‐commerce continues to emerge as an increasingly significant business phenomenon. However, little empirical research exists to identify factors that influence the extent to which individuals use the Internet and e‐commerce. With the aid of survey research and a neural network, this study analyzes a wide range of variables in an attempt to identify accurate predictors of this usage. The results of the analysis identify gender, overall computer usage, job‐related use, and home access as important characteristics that should influence use of the Internet and e‐commerce.

Keywords

Citation

Sexton, R.S., Johnson, R.A. and Hignite, M.A. (2002), "Predicting Internet/ e‐commerce use", Internet Research, Vol. 12 No. 5, pp. 402-410. https://doi.org/10.1108/10662240210447155

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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