Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/8471
Title: | Using exploratory factor analysis in information system (IS) research |
Authors: | Argyropoulou, M Koufopoulos, DN Nikas, A |
Keywords: | Exploratory factor analysis;Information system effectiveness |
Issue Date: | 2011 |
Publisher: | Brunel University |
Citation: | European, Mediterranean & Middle Eastern Conference on Information Systems 2011 (EMCIS2011) |
Abstract: | This paper is part of a field study that explored the impact of Information System implementation on Organisational Performance by examining the concept of IS effectiveness and by exploring how businesses arrive at the conclusion that the undertaking is successful or unsuccessful. Many statistical techniques have been used for the inference of conclusions. This paper will explain in brief the methodology followed and the exploratory factor analysis (EFA) conducted for the measurement of the construct if IS effectiveness. Following all tests on correlations and a number of extraction methods the final solution comprised 13 factors representing the independent variables and 4 factors representing the dependent variables. The results from our analysis provide insight into the IS evaluation field of research and provide new scales for the measurement of IS effectiveness. |
URI: | http://bura.brunel.ac.uk/handle/2438/8471 |
ISBN: | 978-1-902316-85-7 |
Appears in Collections: | Business and Management Brunel Business School Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Fulltext.pdf | 498.12 kB | Adobe PDF | View/Open |
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