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Adopting virtual private network for electronic commerce: An economic analysis

David C. Chou (Department of Computer Information Systems, Eastern Michigan University, Ypsilanti, Michigan, USA)
David C. Yen (Department of Decision Sciences and MIS, Miami University, Oxford, Ohio, USA)
Amy Y. Chou (College of Business Administration, The University of Toledo, Toledo, Ohio, USA)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 1 February 2005

3177

Abstract

Purpose

To identify the content of virtual private network, the suitability of virtual private network for e‐commerce transactions, and the economics issue of virtual private network.

Design/methodology/approach

A range of virtual private network concepts and technologies are identified and compared. The capability, suitability, and pros and cons of adopting virtual private network for electronic commerce are discussed. An economic analysis is used to compare the cost and benefit of adopting virtual private network in organizations.

Findings

This paper provides information about virtual private network technology. It also indicates the advantages and disadvantages of adopting virtual private network for electronic commerce practices. The economic analysis provides a real example of technology adoption decision making. Strategic implications of adopting virtual private network are detected.

Practical implications

The economic analysis on adopting virtual private network provides an example of information technology selection decision for the electronic commerce community.

Originality/value

This paper provides an economic approach to analyzing the decision process for information technology adoption. It suggests that the integration of virtual private network into electronic commerce architecture would perform secure and inexpensive online transactions for adopters of this new technology.

Keywords

Citation

Chou, D.C., Yen, D.C. and Chou, A.Y. (2005), "Adopting virtual private network for electronic commerce: An economic analysis", Industrial Management & Data Systems, Vol. 105 No. 2, pp. 223-236. https://doi.org/10.1108/02635570510583343

Publisher

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Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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