To use or not to use financial incentives for motivation and performance. For decades, compensation experts have advocated for the use of financial incentives to motivate work performance, yet organisations keep encountering performance issues caused by these incentives. Using agency, expectancy, and self-determination theory to inform a meta-analysis and a series of experiments, this research will help uncover the most important motivational mechanisms that explain how financial incentives infl ....To use or not to use financial incentives for motivation and performance. For decades, compensation experts have advocated for the use of financial incentives to motivate work performance, yet organisations keep encountering performance issues caused by these incentives. Using agency, expectancy, and self-determination theory to inform a meta-analysis and a series of experiments, this research will help uncover the most important motivational mechanisms that explain how financial incentives influence different types of performance. Given that compensation accounts for an important proportion of an organisation's operating expenses and that employee engagement is on the decline around the world, this research will provide a strong empirical basis to develop more effective compensation systems.Read moreRead less
Managing the risks posed by Artificial General Intelligence. It is widely acknowledged that a failure to implement appropriate controls for the next generation of Artificial Intelligence, Artificial General Intelligence (AGI), could have catastrophic consequences, including in the worst case - the extinction of the human race. This research aims to forecast the risks associated with AGI systems and identify the controls required to ensure that risks and existential threats are minimised. The exp ....Managing the risks posed by Artificial General Intelligence. It is widely acknowledged that a failure to implement appropriate controls for the next generation of Artificial Intelligence, Artificial General Intelligence (AGI), could have catastrophic consequences, including in the worst case - the extinction of the human race. This research aims to forecast the risks associated with AGI systems and identify the controls required to ensure that risks and existential threats are minimised. The expected outputs will provide designers, organisations, regulators and governments with a framework to support the design, implementation, and management of safe and efficient AGI systems. This will ensure that the potential far-reaching benefits of AGI are realised without undue threat to society.Read moreRead less
Motivating work teams: An emergence-based process model . With work teams having to undertake more critical and complex tasks, this project aims to develop and evaluate a new process model of team motivation emergence through field studies using varied samples of workers, simulation studies, and computational modelling. The project expects to generate solutions to Australia's declining work engagement by answering calls for research on how to develop team motivation. Expected outcomes include n ....Motivating work teams: An emergence-based process model . With work teams having to undertake more critical and complex tasks, this project aims to develop and evaluate a new process model of team motivation emergence through field studies using varied samples of workers, simulation studies, and computational modelling. The project expects to generate solutions to Australia's declining work engagement by answering calls for research on how to develop team motivation. Expected outcomes include new knowledge of team motivation disseminated through scholarly and practitioner-oriented publications and presentations, as well as practical team assessment and training tools made available to organisations so they can improve team performance.
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Improving workplace productivity via an AI-based physical activity chatbot . This project aims to develop, train and evaluate a physical activity chatbot using artificial intelligence and machine learning to improve workplace productivity in sedentary office workers. Productivity losses, due to high numbers of physically inactive workers, cost the Australian economy $14 billion per year. The cost of effective and scalable workplace physical activity programs acts as a barrier to their implementa ....Improving workplace productivity via an AI-based physical activity chatbot . This project aims to develop, train and evaluate a physical activity chatbot using artificial intelligence and machine learning to improve workplace productivity in sedentary office workers. Productivity losses, due to high numbers of physically inactive workers, cost the Australian economy $14 billion per year. The cost of effective and scalable workplace physical activity programs acts as a barrier to their implementation. As such, innovative programs that can reach large numbers of workers at minimal cost are needed. This project aims to generate new knowledge on the use of artificial intelligence to achieve behavioural improvements and will lead to the development of a new type of behaviour change program with broad applicability.
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