E-Business Decision Making by Agreement
William J. Tastle and
Mark J. Wierman
Additional contact information
William J. Tastle: Ithaca College, USA
Mark J. Wierman: Creighton University, USA
International Journal of E-Business Research (IJEBR), 2008, vol. 4, issue 4, 16-25
Abstract:
Gathering customer data over the Internet is largely limited to collecting the responses to a set of easily answerable questions, such as Yes/No questions and Likert scale questions. 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 can be inaccurate and in some cases, misleading. This paper introduces measures of agreement and dissent to the field of eBusiness analysis and shows how ordinal data can be analyzed in more meaningful ways.
Date: 2008
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jebr.2008100102 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jebr00:v:4:y:2008:i:4:p:16-25
Access Statistics for this article
International Journal of E-Business Research (IJEBR) is currently edited by Mohammad Nabil Almunawar
More articles in International Journal of E-Business Research (IJEBR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().