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2014 | OriginalPaper | Chapter

4. An Approach for Using Data Mining to Support Theory Development

Authors : Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama

Published in: Advances in Research Methods for Information Systems Research

Publisher: Springer US

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Abstract

The rapid and constant change in information technologies (IT), organizational forms, and social structures is challenging our existing theories of the impact IT on organizations and society. A basic problem for researchers is how to generate testable hypotheses about the given area of research. However, new IT offer opportunities for information processing and problem solving that could extend the capacity of researchers to generate hypotheses and systematically explore the limitations of any theory. The idea of using IT to support IS research is not new. In this chapter, we explore and illustrate how data mining techniques could be applied to assist researchers in systematic theory testing and development.

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previous chapter Overview on Decision Tree Induction
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Appendix
Available only for authorised users
Footnotes
1
Science: Conjectures and Refutations, in Popper, K. Conjectures and Refutations, 2002 Edition, pp. 70–71.
 
2
A discussion of the validation of the new instrument is beyond the scope of this paper. However, in validating the instrument, we used principal axis factoring and varimax rotation with Kaiser normalization. The reliability (alphas) for the groups of items were: System Quality, 0.9603; Documentation, 0.9337; Ease of Use 0.9266; Performance, 0.927; Utilization, 0.438; System Reliability, 0.8860; and Authorization 0.7618.
 
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Metadata
Title
An Approach for Using Data Mining to Support Theory Development
Authors
Kweku-Muata Osei-Bryson
Ojelanki Ngwenyama
Copyright Year
2014
Publisher
Springer US
Book
Advances in Research Methods for Information Systems Research

Print ISBN: 978-1-4614-9462-1

Electronic ISBN: 978-1-4614-9463-8

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-1-4614-9463-8_4

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