This paper reports on findings from the first stage of an exploratory study into the factors that influence the diffusion of ontologies in the Road Asset Management sector in Australia. The study investigates issues related to the diffusion of standard information models (taxonomies, road...

Contemporary engineering organizations are increasingly becoming reliant on advanced computing technology and information systems to ensure the effective management of their engineering assets. Ensuring the reliability, maintenance and management of assets is dependent on the integration and...

Contemporary enterprises rely on accurate and complete information to make optimal decisions. In order to do so must have the ability to harvest information from every repository that will provide them the necessary information for good decisions to be made. Asset managing organisations have in...

Recently heightened competition resulting from market deregulation and increased regulatory compliance requirements have demanded greater accountability for decision making in engineering asset management (EAM) organisations. However, the siloed information structure and fragmented business...

In the digital information age, every organisation employs information systems to help it achieve its strategic objectives. These information systems will be used by users with their own specific roles and to make decision. Typically, the information within an organisation doubles every 18...

Thesis (PhD)--University of South Australia, 2007.

The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors....

Much of IS literature suggests that various factors play pivotal roles in the implementation of an information system; however, there has been little empirical research about the factors impacting the implementation of business intelligence (BI) systems, particularly in engineering asset...

Engineering asset management processes rely heavily on input of data and also produce a large amount of data. Many asset management organisations need to manage their data for a long period of time (e.g. Water supply pipelines data will be kept for more than 100 years in utility companies). Due...