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Research Topic : Indigenous methodologies
Field of Research : Information Systems Management
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  • Researchers (20)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0560417

    Funder
    Australian Research Council
    Funding Amount
    $230,000.00
    Summary
    Modelling in the Large. Business modelling supports a variety of approaches, which are currently of significant interest for Australian organisations. This includes business process management, risk management or Enterprise Architecture design. The trend to centralised and integrated business modelling leads to projects with a high number of models, modellers, users, and modelling purposes. This phenomenon is called modelling in the large. The proposed research project explores the major issues .... Modelling in the Large. Business modelling supports a variety of approaches, which are currently of significant interest for Australian organisations. This includes business process management, risk management or Enterprise Architecture design. The trend to centralised and integrated business modelling leads to projects with a high number of models, modellers, users, and modelling purposes. This phenomenon is called modelling in the large. The proposed research project explores the major issues within these projects and develops improved modelling techniques and project management approaches for large modelling initiatives. The outcomes will streamline the design, integration, maintenance and communication of models with a focus on Enterprise Systems.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP180100170

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Detecting Firmware Vulnerabilities in Smart Home Devices. 83% of Australians have smart home devices. 47% claim they have three or more. These devices are easily targeted by cyber-attacks, and searching for their vulnerabilities has become more crucial than ever. Our industry partner GPG is actively looking for ways to detect vulnerabilities in their smart home products, but have not found any existing methods that satisfy three critical requirements: 1) massive search, 2) cross platform detecti .... Detecting Firmware Vulnerabilities in Smart Home Devices. 83% of Australians have smart home devices. 47% claim they have three or more. These devices are easily targeted by cyber-attacks, and searching for their vulnerabilities has become more crucial than ever. Our industry partner GPG is actively looking for ways to detect vulnerabilities in their smart home products, but have not found any existing methods that satisfy three critical requirements: 1) massive search, 2) cross platform detection, and 3) finding unseen vulnerabilities. We therefore propose to use a series of new techniques such as efficient in-memory fuzzing, conditional formulas, and transfer learning to solve the above challenges. The project outcomes will help Australia gain cutting edge techniques in vulnerability detection.
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    Funded Activity

    Discovery Projects - Grant ID: DP110100091

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Risk-aware business process management. Risk-aware business process management will revolutionise the identification and treatment of risks in business processes by integrating the latest technologies for risk management and process management. It will provide organisations with a range of new tools and techniques for designing, deploying and monitoring risk-aware business processes.
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    Funded Activity

    Discovery Projects - Grant ID: DP150103356

    Funder
    Australian Research Council
    Funding Amount
    $847,700.00
    Summary
    Improved Businesss Decision-Making via Liquid Process Model Collections. This project aims to develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project aims to capitalise on the value hidden in large process data, as recorded in .... Improved Businesss Decision-Making via Liquid Process Model Collections. This project aims to develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project aims to capitalise on the value hidden in large process data, as recorded in event logs. The approach is intended to be implemented in an open-source technology to facilitate advanced investigations and predictions that can ultimately lead to better strategic decision-making. This technology also has the potential to become a research-enabling tool for the large research community in business process management.
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    Funded Activity

    Discovery Projects - Grant ID: DP120101624

    Funder
    Australian Research Council
    Funding Amount
    $320,000.00
    Summary
    Cost-aware business process management. The project aims to inform business process management (BPM) with the latest insights from the field of management accounting in order to make BPM systems cost-aware. By incorporating the cost dimension, organisations can obtain an accurate and immediate overview of the true cost of their processes and make cost-informed decisions.
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    Funded Activity

    Linkage Projects - Grant ID: LP110100252

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Facilitating business process standardisation and reuse. One of the most pressing management challenges of today's organisations lies in the reuse and standardisation of best practices across different sectors, products or units. This project will develop an innovative open-source software platform and governance structure to efficiently and effectively support best practice standardisation and reuse.
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    Funded Activity

    Discovery Projects - Grant ID: DP110103733

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Trust-enhanced recommender systems for personalised government-to-business e-service. This study will transform current Government to Business service to a higher level to enable e-Government systems to offer Personalised e-Service. It will assist business users to significantly increase their use of e-Government services, particularly providing an effective solution to small and medium size businesses for locating business partners by using Government e-Services.
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    Showing 1-7 of 7 Funded Activites

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