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Enhancing e-Business Decision Making: An Application of Consensus Theory

Enhancing e-Business Decision Making: An Application of Consensus Theory

William J. Tastle, Mark J. Wierman
Copyright: © 2010 |Pages: 13
ISBN13: 9781605669663|ISBN10: 1605669660|ISBN13 Softcover: 9781616924072|EISBN13: 9781605669670
DOI: 10.4018/978-1-60566-966-3.ch008
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MLA

Tastle, William J., and Mark J. Wierman. "Enhancing e-Business Decision Making: An Application of Consensus Theory." Breakthrough Discoveries in Information Technology Research: Advancing Trends, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2010, pp. 110-122. https://doi.org/10.4018/978-1-60566-966-3.ch008

APA

Tastle, W. J. & Wierman, M. J. (2010). Enhancing e-Business Decision Making: An Application of Consensus Theory. In M. Khosrow-Pour, D.B.A. (Ed.), Breakthrough Discoveries in Information Technology Research: Advancing Trends (pp. 110-122). IGI Global. https://doi.org/10.4018/978-1-60566-966-3.ch008

Chicago

Tastle, William J., and Mark J. Wierman. "Enhancing e-Business Decision Making: An Application of Consensus Theory." In Breakthrough Discoveries in Information Technology Research: Advancing Trends, edited by Mehdi Khosrow-Pour, D.B.A., 110-122. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-966-3.ch008

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Abstract

Statistical analysis is the universally accepted method by which sense is created from raw data. Successful requirements determination is often dependent upon the gathering customer data over the Internet, and it may be largely limited to collecting the responses such as Yes/No and Likert scale categories. These data are then analyzed to identify customer trends or other items of interest to management. The data can be useful, but key to their usage is the application of suitable mathematical tools. Traditionally little more than standard statistics has been used in the analysis of ordinal, or category, data. This chapter introduces measures of agreement and dissent to the field of e-business analysis and shows how ordinal data can be analyzed in meaningful ways.

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