I have completed the final version of the thesis and have also had it proof read. The final copy of the thesis includes relevant results which were obtained throughout the duration of the thesis.
The problem which this paper attempts to analyse is that of the impact of IT upon industry structure. This problem is of particular importance to the Australian Economy as a whole, as Australia becomes more and more IT dependent. This problem has not been addressed sufficiently in previously literature, and as such, this paper will contribute significantly to the work of researchers and policymakers in this field of study.
This paper has analysed the changes which IT has brought about upon organizations, and on an aggregate level, industry. This paper has employed generally accepted methods in order to carry out this study, using regressions, structural breakpoint tests, and fuzzy c-means clustering in order to achieve this goal.
This paper has proven Langdons’ (2003) conclusion that the Software aspect of IT is rapidly becoming more dominant than the hardware aspect of IT, and thusly, this confirmation will allow decision makers to design policies which augment and support this finding in order to promote additional growth in the Australian Economy.
The results obtained for the study indicate that there is a shift in industry structure in the form of coalescence. Based on this, policies have been recommended in order to take advantage of the changes which IT has brought about. Additionally, the resulting structural change may be of significance in predicting the future structure of industry.
In summation, the author of this paper wishes to thank Dr Simon Poon for his ongoing support and help throughout the entire process. Without his support and advice, this paper would not have been possible. It is his patience and understanding that has been of the greatest help to me in the writing of this paper.
Additionally, this paper wishes to thank Dr Rafael Calvo for the administrative work which was performed during the execution of this paper.
This paper also wishes to acknowledge the Australian Bureau of Statistics, MIT GmBH and the Open R Archive for their advice and assistance in the provision of resources used in the provision of this project.