Completed projects

Knowledge management, knowledge technologies and the quest for optimal organisational performance
The research project is taking an organisational and management perspective on possible interrelationships between the introduction of knowledge management programs/implementation of knowledge technologies in organisations and organisational performance outcomes.

Funding: APA Scholarship

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Improving Meteorological Forecasting Practice with Knowledge Management Systems
This research aims to improve meteorological services through the application of knowledge management to the forecast process. In particular the project seeks to develop a comprehensive knowledge management framework which includes models of forecasters' explicit, tacit and experiential knowledge and which enables forecasters to learn from their collective experience.

Funding: ARC Link, Bureau of Meteorology, SIMS.

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Towards a new model of organisational memory
This research aims to provide a fresh model of 'organizational memory', based on the findings of research into organic memory systems, for the purpose of building computer-based Organizational Memory Systems or support for organizational, or group, memory.

Funding: APA Scholarship

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An Empirical Study of the Impacts of an Asynchronous and Distributed Group Decision Support System on Multiple Criteria Decision Making Processes
What differences might the parallel and sequential coordination methods brought about for the outcomes of a distributed group decision-making process?

Funding: MGS Scholarship

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KM Model within the Context of Evidence Based Health Care
This research applies Soft Systems Methodology (SSM) within the context of action research in solving a knowledge management problem in a real world situation. The level of success in implementation of knowledge management initiatives is significantly dependent on the right balance of intervention and reflection on the current practices of the organisation. In this context SSM becomes a very valuable strategy for conducting practice-driven information research.

Funding: Small ARC 2000

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Impact of customer knowledge on product/service innovation
The current study seeks to address this research need, and to generate some comparative data from a Western multinational company. The proposed research is a single case study based on this company's Australian Division, Melbourne Office. A particular customer-orientated unit within the Melbourne Office will form the major focus of the study. Besides yielding theoretical insights, the research will also enable this unit to assess its processes related to customer knowledge and product/service innovation. It is likely that recommendations for enhancements or changes to current processes will emerge from the study.

Funding: SMURF 2000

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Knowledge Management Practice: an Australian survey into current practices
The aim of this exploratory research project is to examine and measure the current views, awareness, and knowledge management strategies of the top 1000 Australian companies. The research project will overview the present conditions in this sector in Australia. The preliminary hypotheses to be tested in this research follow. Other questions may arise through the analysis of the data retrieved. 1. The understanding of knowledge management in Australia is not a reflection of the concept as described in the Australian business press. 2. Australian organisations do not recognise knowledge as an asset. 3. Australian organisations are not developing strategies to manage knowledge. 4. Knowledge management is supported by and part of organisational Information Systems infrastructure. 5. Organisational culture does not impact on the management of knowledge.

Funding: SMURF 2000

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The Monash Mini Olympics - Knowledge Management

Knowledge Discovery for Intelligent Decision Support
This research project is concerned with the design and development of a computer-based model for decision support based on knowledge discovery in database (KDD) technology. The project proposes an extended architecture for the traditional KDD process. Within the proposed architecture some additional elements are considered: besides data mining technology, an intelligent decision support system, a case base, a rule base and a communication component to perform the integration among those elements.

Funding: Small ARC 1999, IPRS Scholarship, MGS Scholarship

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