E-business decision making by agreement

William J. Tastle, Mark J. Wierman

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)16-25
Number of pages10
JournalInternational Journal of e-Business Research
Volume4
Issue number4
StatePublished - 2008

Fingerprint

Decision making
Statistics
Internet
Industry
Electronic business
Ordinal data
World Wide Web
Dissent

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Computer Science Applications

Cite this

Tastle, W. J., & Wierman, M. J. (2008). E-business decision making by agreement. International Journal of e-Business Research, 4(4), 16-25.

E-business decision making by agreement. / Tastle, William J.; Wierman, Mark J.

In: International Journal of e-Business Research, Vol. 4, No. 4, 2008, p. 16-25.

Research output: Contribution to journalArticle

Tastle, WJ & Wierman, MJ 2008, 'E-business decision making by agreement', International Journal of e-Business Research, vol. 4, no. 4, pp. 16-25.
Tastle, William J. ; Wierman, Mark J. / E-business decision making by agreement. In: International Journal of e-Business Research. 2008 ; Vol. 4, No. 4. pp. 16-25.
@article{ba480ad2f8c247239a52de43f5a159a1,
title = "E-business decision making by agreement",
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.",
author = "Tastle, {William J.} and Wierman, {Mark J.}",
year = "2008",
language = "English",
volume = "4",
pages = "16--25",
journal = "International Journal of e-Business Research",
issn = "1548-1131",
publisher = "IGI Publishing",
number = "4",

}

TY - JOUR

T1 - E-business decision making by agreement

AU - Tastle, William J.

AU - Wierman, Mark J.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=49249105915&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=49249105915&partnerID=8YFLogxK

M3 - Article

VL - 4

SP - 16

EP - 25

JO - International Journal of e-Business Research

JF - International Journal of e-Business Research

SN - 1548-1131

IS - 4

ER -