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Cited by 16,594

The DOI matches its Crossref record.

Foundations of social theory

·1990·Choice Reviews Online
DOI 10.5860/choice.27-6637
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Abstract

As firms move toward a more disciplined approach to e-business strategic planning, managers are seeking metrics that will help them analyze the success of their e-business investments. Likewise, researchers require metrics to build analytical models of the impact of managerial strategy on firm performance and to validate empirical field research on specific managerial tactics. In this paper, we develop a comprehensive framework for identifying e-business applications associated with activities upstream in the value chain, that complements an existing framework for applications further down the value chain. We propose that the real value proposition in e-business applications can be found in functionality interaction where one application enables the successful functionality in another application. The framework provides a methodology for mapping e-business applications within the proposed frameworks, which then can be used to generate three different types of metrics that should be considered for evaluating e-business strategic initiatives. Further, a classification of e-businesses provides the basis for selecting those metrics that are important to the strategic thrusts of the organization. The methodology allows the e-business strategist to map the organization’s e-business objectives into a coherent, easily understood visual representation. The framework is based on an extensive literature review of several reference disciplines. 2

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Metadata

Venue
Choice Reviews Online
Publisher
American Library Association
Published
1990-07-01
Volume
27
Issue
11
Pages
27-6637-27-6637
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
DOI
10.5860/choice.27-6637
OpenAlex
W2153943092
Cited by
16,594
References
0
Type
book review
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.