We conclude that all three forms of e-journals solve many of the economic and technical issues facing academic publishing such as reduced production and distribution costs, reduced time lag, increased available space and new formats. The chapter examines the benefits and challenges introduced by e-journals vis-à-vis the objectives of academic scholarship.

These e-journals rarely use the full “electronicity” afforded by the Internet and usually look and feel like a paper journal.In this chapter, we investigate the rationale behind the slow adoption of e-journals by academia. As in many other industries, immediately after the introduction of the A competing design is the electronic replica of a paper journal. The appeal of the data mart strategy is that a mart can be built quickly, at relatively little cost and risk, while providing aĪlthough the use of the Internet and the World Wide Web (The Internet and electronic journals (e-journals) were expected to change the way academia approaches scholarship and publishing. The data marts are incrementally architected into an enterprise data warehouse that meets the needs of users across the organization. After the data mart is complete, subsequent marts are developed, and they are conformed to data structures and processes that are already in place.

With the bottom-up approach, a project team begins by creating a data mart that has a limited set of data sources and that meets very specific user requirements. This strategy is likely to result in a scaleable data warehouse, but like most large IT projects, it is time consuming, expensive, and may fail to deliver benefits within a reasonable timeframe. With the top-down approach, a project team creates an enterprise data warehouse that combines data from across the organization, and end-user applications are developed after the warehouse is in place. Companies can build a data warehouse using a top-down or a bottom-up approach, and each has its advantages and disadvantages.

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