Strategic evaluation model for business-to-business electronic marketplace participation. Striving to become a knowledge-based nation is dependent upon the effective adoption, diffusion and implementation of ICT throughout the business community. The developing world markets, brought about by e-commerce and the increased ability to trade globally facilitated by e-markets, have created significant opportunities for Australian organisations. This research will produce a dynamic model that can be ....Strategic evaluation model for business-to-business electronic marketplace participation. Striving to become a knowledge-based nation is dependent upon the effective adoption, diffusion and implementation of ICT throughout the business community. The developing world markets, brought about by e-commerce and the increased ability to trade globally facilitated by e-markets, have created significant opportunities for Australian organisations. This research will produce a dynamic model that can be used to not only evaluate e-marketplace participation but a wide range of Internet applications. The research will provide Australian managers with the foundation of knowledge needed to guide and support their decision-making when implementing new technology.Read moreRead less
Dynamic Life Cycle Evaluation of Customer Relationship Management Systems. Striving to become a knowledge based nation is dependent upon effective adoption, diffusion and implementation of information and communication technology thoughout the business community. This research will produce a dynamic model that can be used to evaluate enterprise wide applications such as electronic Customer Relationship Management (CRM) so that managers can examine the impact of new tehnology on business processe ....Dynamic Life Cycle Evaluation of Customer Relationship Management Systems. Striving to become a knowledge based nation is dependent upon effective adoption, diffusion and implementation of information and communication technology thoughout the business community. This research will produce a dynamic model that can be used to evaluate enterprise wide applications such as electronic Customer Relationship Management (CRM) so that managers can examine the impact of new tehnology on business processes. In addition, the research will provide managers wit the foundation of knowledge needed to guide and support their decision-making when implementing new technology. Read moreRead less
Special Research Initiatives - Grant ID: SR0354729
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Smart Use of Information Technologies (SUITs). The SUITs network will develop critical mass in world-class, leading-edge research into the smart use of information and communication technology (ICT) through integration of research within the dispersed Australian ICT research community and through facilitating international linkages. The network will undertake research applicable in key sectors including the health, education, service, knowledge and media industries. The aim is to establish a h ....Smart Use of Information Technologies (SUITs). The SUITs network will develop critical mass in world-class, leading-edge research into the smart use of information and communication technology (ICT) through integration of research within the dispersed Australian ICT research community and through facilitating international linkages. The network will undertake research applicable in key sectors including the health, education, service, knowledge and media industries. The aim is to establish a higher order of coordination and collaboration in research into ICT applications.
The feasibility study proposed will engage key stakeholders, refine research goals and investigate linkage mechanisms to improve Australia's ICT research and its contribution to economic and social well-being.
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Analysis of effective offshoring processes for Australian organisations. The offshore outsourcing of business processes is a new, largely unexplored and under-theorised area that is placing great pressure on Australian organisations. This research aims to develop models of best practice for offshoring by Australian organisations through a series of cases studies commencing with the industry partner, Repcol Limited. The research will identify what business processes are core, what processes can b ....Analysis of effective offshoring processes for Australian organisations. The offshore outsourcing of business processes is a new, largely unexplored and under-theorised area that is placing great pressure on Australian organisations. This research aims to develop models of best practice for offshoring by Australian organisations through a series of cases studies commencing with the industry partner, Repcol Limited. The research will identify what business processes are core, what processes can be offshored, whether to use third parties or have captive operations, and what factors need to be addressed in order to utilise offshoring to strengthen Australian organisations and enable them to take advantage of global strategic opportunities for growth.Read moreRead less
Personalised Online Learning Analytics by Exploring Multilayer Graph Data . Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph ....Personalised Online Learning Analytics by Exploring Multilayer Graph Data . Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph processing, pattern recognition in learning activities, learning performance assessment, and personalised study plan recommendations. The success of this project will significantly enhance the success of online education both in Australia and worldwide and; hence, will save time, money and resources for end users.Read moreRead less
Open Standards design for improved road network information exchange. Open Standards design for improved road network information exchange. This project aims to design a draft digital open source performance-based construction contract specification for delivering road construction information to operational network asset management. This will be a common information exchange specification for all road agencies to standardise exchange of their assets data. Road network construction and maintenan ....Open Standards design for improved road network information exchange. Open Standards design for improved road network information exchange. This project aims to design a draft digital open source performance-based construction contract specification for delivering road construction information to operational network asset management. This will be a common information exchange specification for all road agencies to standardise exchange of their assets data. Road network construction and maintenance costs $21 billion annually, but the outcome of this project is expected to save $65 to $130 million annually through data harmonisation. This project is at the leading edge of information management for roads and is expected to change several international standards.Read moreRead less
Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and e ....Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and enabling techniques for more objective human action analysis in many domains such as sports and health. This should provide significant benefits to any application domain involving big and complex spatial-temporal data for finer analytics and better knowledge discovery.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Robust and scalable change detection in geo-spatial data. A flood of data in the form of text, images and video emanate from a proliferation of sensors. These data are collected but rarely analysed, rendering it meaningless. This project aims to develop new software and techniques to detect changes over time in large scale geographically referenced data (for example photomaps) for use across numerous domains.
Efficient structure search over large graphs. The project aims to develop advanced search technology to support large-scale graph applications. The success of the project not only brings a breakthrough in technology development but also provides training for high quality personnel in this important and growing area, and brings considerable economic and social benefits to Australia.