This research examines the issues relating to evaluation of information systems investments made to facilitate engineering asset management. It follows an interpretive epistemology and suggests that information systems are social systems. An attempt to evaluate them, therefore, has strong contextual and social underpinnings. This research aims to develop understanding of the information systems based asset management, and provides conceptual frameworks for their evaluation in the social context of the organisation. / This research is motivated by the lack of appropiate theoretical frameworks for IS evaluation that could be applied to asset management paradigm. IS utilised for asset management are essentially social systems. Any attempt to evaluate IS should, therefore, be aimed at understanding the context within which they are deployed, as well as the processes that influence and are influenced by their use. In contrast to the traditional deterministic approaches to technology investment for asset management, this research adopts a multi-perspective context based approach. This research thus highlights the operational and conceptual issues posed to IS for engineering asset management evaluation. / The three case studies carried out in this research provide an analysis of the factors that contribute to the inability of asset managing organisations to implement, or make effective use of IS based asset management evaluation mechanisms. From these analyses this research highlights the factors that contribute to failure of asset managing organisations to effectively measure the contribution of IS in providing value for asset lifecycle management. The learnings gained from empirical research are further provide understandings of evaluation roles and responsibilities, integration of evaluation in organisational culture as a core strategic process, and continuous improvement of asset lifecycle strategies. This research then develops a conceptual framework for information systems based asset management evaluation that enables action able generative learning. / Thesis (PhD)--University of South Australia, 2007.
| Identifer | oai:union.ndltd.org:ADTP/267089 |
| Creators | Haider, Abrar. |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | copyright under review |
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