Benchmarking Information Technology Impact in Organisations. Anecdotal evidence reveals dissatisfaction with the operational performance of large application software systems. Yet, Australian IT investments are seldom systematically evaluated post-implementation. Where post-implementation evaluation does occur, the process and measures are typically idiosyncratic and lacking credibility. The study will: yield a convenient, extensively-validated method for evaluating the impact of IT investments; ....Benchmarking Information Technology Impact in Organisations. Anecdotal evidence reveals dissatisfaction with the operational performance of large application software systems. Yet, Australian IT investments are seldom systematically evaluated post-implementation. Where post-implementation evaluation does occur, the process and measures are typically idiosyncratic and lacking credibility. The study will: yield a convenient, extensively-validated method for evaluating the impact of IT investments; establish comparable IT-Impact benchmarks across different sectors of interest to organisations and Government; and facilitate the education and research training of graduate research students well grounded in IT Evaluation methods, and well placed to advance industry expertise in this area.Read moreRead less
UNLOCKING BENEFITS FROM ENTERPRISE SYSTEMS IN THE AUSTRALIAN PUBLIC SECTOR: Benefits Realisation in the Context of the Virtual Organisation. This study proposes to provide an innovative Virtual Organisation perspective to identify factors that can assist Australian government agencies to maximise the potential benefits from Enterprise System (ES) implementation. Study aims include: Identify and explicate major characteristics of the Virtual Organisation created through collaboration between gove ....UNLOCKING BENEFITS FROM ENTERPRISE SYSTEMS IN THE AUSTRALIAN PUBLIC SECTOR: Benefits Realisation in the Context of the Virtual Organisation. This study proposes to provide an innovative Virtual Organisation perspective to identify factors that can assist Australian government agencies to maximise the potential benefits from Enterprise System (ES) implementation. Study aims include: Identify and explicate major characteristics of the Virtual Organisation created through collaboration between government agency and (external) ES Implementation Partner; Identify and document features and constraints peculiar to ES implementation in the Australian public sector; Identify and explicate factors impacting on benefits realisation, relating these to theory from related fields; Highlight consensus and difference among stakeholders; Develop a validated, repeatable methodology for major impact studies; Inform ES research directions.Read moreRead less
Next-Generation Reference Process Models. Business process modelling is a key tool for organisations striving to create efficiencies by leveraging their IT infrastructure. This project will develop techniques for increasing the productivity of business process analysts by allowing them to reuse as much as possible existing models rather than systematically desigining new ones from scratch. Specifically, the project will develop and validate a language for designing highly configurable process mo ....Next-Generation Reference Process Models. Business process modelling is a key tool for organisations striving to create efficiencies by leveraging their IT infrastructure. This project will develop techniques for increasing the productivity of business process analysts by allowing them to reuse as much as possible existing models rather than systematically desigining new ones from scratch. Specifically, the project will develop and validate a language for designing highly configurable process models. This language will enable superior approaches to business process modelling and hence smarter use of information. This will place Australia at the forefront of developments in business process management: a crucial technology in today's global, dynamic and heterogeneous environments.Read moreRead less
Audit Security Models for Multiparty Internet Transactions. The aim of this project is to conduct the study for a secure, low overhead means of auditing secure transactions between two parties over the Internet, especially where some doubt surrounds the trustfulness of the other party.
A study will be conducted in this project by investigating security models for multiparty secure transactions in order to identify a number of likely applications for the technology, to develop a high level arch ....Audit Security Models for Multiparty Internet Transactions. The aim of this project is to conduct the study for a secure, low overhead means of auditing secure transactions between two parties over the Internet, especially where some doubt surrounds the trustfulness of the other party.
A study will be conducted in this project by investigating security models for multiparty secure transactions in order to identify a number of likely applications for the technology, to develop a high level architecture of the solution.Read moreRead less
Ontologically-based Evaluation, Comparison and Engineering of Integrated Process Modelling Techniques. Integrated process modelling techniques such as UML and ARIS form the conceptual platform for many management and IT projects. Though most IS development tools contain these techniques, anecdotal evidence indicates many shortcomings. This project uses a well-established theory developed in philosophy and applied in information systems domains for the evaluation of these techniques. The expec ....Ontologically-based Evaluation, Comparison and Engineering of Integrated Process Modelling Techniques. Integrated process modelling techniques such as UML and ARIS form the conceptual platform for many management and IT projects. Though most IS development tools contain these techniques, anecdotal evidence indicates many shortcomings. This project uses a well-established theory developed in philosophy and applied in information systems domains for the evaluation of these techniques. The expected outcomes are evaluations of ARIS and UML. Thus, this project contributes to the development of two of the most popular modelling techniques. Based on the theory used and the results of an international empirical study, suggestions for the further development of these techniques will be derived.Read moreRead less
Design of a Reference Methodology for Extended Enterprise Architecture. Enterprises have nowadays a very critical perception of the actual benefits of Information Technology (IT). Significant investments in IT infrastructures have been made. However, in many cases no monetary benefits could be demonstrated. Enterprises Architectures provide a way to link the business and the IT perspective. This project aims to develop an operational methodology with a solid theoretical foundation for the design ....Design of a Reference Methodology for Extended Enterprise Architecture. Enterprises have nowadays a very critical perception of the actual benefits of Information Technology (IT). Significant investments in IT infrastructures have been made. However, in many cases no monetary benefits could be demonstrated. Enterprises Architectures provide a way to link the business and the IT perspective. This project aims to develop an operational methodology with a solid theoretical foundation for the design of such Enterprise Architectures. The outcomes and the innovation of this project are an extension of the popular Zachman Framework. Integrated modelling techniques proposed within the Architecture of Integrated Information Systems will be used to populate this framework.Read moreRead less
PreferPeer: Towards Efficient Location-aware Preference Search in Mobile Peer-to-Peer Databases. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing in very large scale highly mobile data. The proposed PreferPeer stands to open up major research directions in mobile point-to-point computing. Advances in this project will bring significant economic and social benefits to Austral ....PreferPeer: Towards Efficient Location-aware Preference Search in Mobile Peer-to-Peer Databases. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing in very large scale highly mobile data. The proposed PreferPeer stands to open up major research directions in mobile point-to-point computing. Advances in this project will bring significant economic and social benefits to Australia. The research outcome of this project will directly benefit the following sectors: telecommunications, transportation, supply chain management, logistics, mobile computing, mobile e-commerce and marketing, air traffic control, defence, and so on, where efficient access to large amounts of highly mobile and distributed information is vital.Read moreRead less
QUA:Queensland digital Ultra-Atlas. This project aims to design and develop a digital ultra-atlas of Queensland which integrates the capabilities of GIS(geographical information system) with interactive 4D graphical modelling,knowledge extraction and context-based query and retrieval. This ultra-atlas would allow users to discover knowledge on natural resources,cultural characteristics and historical changes,as well as simulating different effects by providing advanced search capabilities and en ....QUA:Queensland digital Ultra-Atlas. This project aims to design and develop a digital ultra-atlas of Queensland which integrates the capabilities of GIS(geographical information system) with interactive 4D graphical modelling,knowledge extraction and context-based query and retrieval. This ultra-atlas would allow users to discover knowledge on natural resources,cultural characteristics and historical changes,as well as simulating different effects by providing advanced search capabilities and engaging display of spatial and thematically-linked data. Such an ultra-atlas would have enormous impact on facilitating strategic planning and performance in many applications(e.g fire control,environment and urban planning).Read moreRead less
Mining Distributed, High-Speed, Time-Variant Data Streams. With the high-speed and large volume of data generation, the data mining research community is facing an unprecedented challenge to provide instant data mining outcomes for prompt usage. Getting access to derived information from multiple, dynamically changing data is vital for many business, science and security services. Extended networks of sensors and other devices assist many environments with data collection that should be correlat ....Mining Distributed, High-Speed, Time-Variant Data Streams. With the high-speed and large volume of data generation, the data mining research community is facing an unprecedented challenge to provide instant data mining outcomes for prompt usage. Getting access to derived information from multiple, dynamically changing data is vital for many business, science and security services. Extended networks of sensors and other devices assist many environments with data collection that should be correlated and processed towards discovery of dependencies, regularities and patterns. Data mining tools, especially of this new generation, are capable of dealing with data streams, and they offer great benefits for users from many industry sectors; defence, health management, security, commerce and science.Read moreRead less
Coarse Grained Parallel Algorithms. Various fields of research face barriers created by problems that are computationally hard and/or require processing of large amounts of data. For example, some computational biochemistry methods on protein or gene sequences can not be scaled up to data sets required for human health research because of performance problems. Parallel computing enables new research by increasing the size of solvable problems. In addition to fundamental parallel computing resear ....Coarse Grained Parallel Algorithms. Various fields of research face barriers created by problems that are computationally hard and/or require processing of large amounts of data. For example, some computational biochemistry methods on protein or gene sequences can not be scaled up to data sets required for human health research because of performance problems. Parallel computing enables new research by increasing the size of solvable problems. In addition to fundamental parallel computing research, this project studies parallel algorithms for structure-based drug design and protein-protein interaction prediction that will enable new biochemistry research, as well as parallel algorithms for data cubes that will help enable the next generation of very large data warehouses.Read moreRead less