Deakin University
Browse

Web-TRECS: teaching electronic commerce

Version 2 2024-06-16, 13:26
Version 1 2014-10-27, 16:25
journal contribution
posted on 2024-06-16, 13:26 authored by C Parker, P Swatman
Effective Electronic Commerce (e-Commerce) education for students in such disciplines as Management Information Systems, Accounting and Marketing is paramount. This is because organisations globally need people who are skilled in e-Commerce, from a technical and/or organisational perspective, so that the firms can take advantage of such technologies as the Web. The challenge for business and e-Commerce educators, therefore, is the development of teaching tools and environments which provide tertiary students and business people with practically-based opportunities for learning about the potential of e-Commerce. Business simulation approaches to e-Commerce education are a particularly effective way in which to provide students with these pedagogic opportunities. This paper provides an overview of a Web-based e-Commerce business simulation called Web-TRECS (Teaching Realistic Electronic Commerce Solutions). It then describes how the software components of Web-TRECS have been designed to form the e-Commerce teaching tool. The paper then discusses how Web-TRECS could be used to teach a range of e-Commerce concepts and skills, based on six years of research into the use of e-Commerce business simulations. The paper finally concludes by outlining our future research plans to extend Web-TRECS so that additional e-Commerce concepts and skills might be taught using this tool.

History

Journal

Information technology & management

Volume

2

Pagination

459-471

Location

Amsterdam, Netherlands

ISSN

1573-7667

eISSN

1385-951X

Language

eng

Publication classification

C1 Refereed article in a scholarly journal, C Journal article

Copyright notice

2001, Kluwer Academic Publishers

Issue

4

Publisher

Kluwer

Usage metrics

    Research Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC