The research conducted for this thesis had two broad aims. The first was to provide descriptive information about the use of computer-based information systems (CBIS) in regional small business. The second of the aims was to examine the relationships among key constructs identified from the literature and to explore how they contributed to predicting CBIS success in regional small business.In the second phase of the analysis, Exploratory Factor Analysis (EFA) was used to examine the factorial constructs underlying the data. Constructs were identified that measured CEO characteristics, two measuring organisational characteristics, four measuring aspects of decision-making, and five measuring perceived CBIS success. Correlations among the constructs were examined prior to relationships among the constructs being explored using hierarchical regression analysis. The constructs were also examined in a single measurement model to determine their collective effect and relationships with the constructs measuring CBIS success based on structural equation modelling. Notwithstanding the limitations of the research, it resulted in the identification of relationships among key variables that predict CBIS success. The identification of items associated with decision-making processes, and the identification of the factorial constructs underlying the data is a major contribution to a portion of the literature that was non-existent. The final measurement model is also a significant contribution in identifying and specifying the relationships constructs measuring CEO characteristics, organisational characteristics, decision-making and CBIS success in regional small business. / Doctor of Philosphy (PhD)
| Identifer | oai:union.ndltd.org:ADTP/182394 |
| Date | January 2003 |
| Creators | Armstrong, Douglas Bruce, University of Western Sydney, College of Science, Technology and Environment, School of Environment and Agriculture |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Source | THESIS_CSTE_EAG_Armstrong_D.xml |
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