Developing and testing dynamic models of goal striving in approach and avoidance contexts. This project will examine how people manage competing goals, such as productivity and safety, in a dynamic environment. The results will improve understanding of human motivation and have implications for practice in military, industrial and commercial settings.
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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A general theory of multiple-goal pursuit. The aim of this project is to develop and test a formal theory that explains the mechanisms by which people make choices amongst competing goals in a dynamic and uncertain environment (‘multiple goal pursuit’). People have to manage competing goals in a wide range of settings (for example, work, education, sport), yet the mechanisms are poorly understood. The theory is expected to integrate formal theories of self-regulation with formal theories of deci ....A general theory of multiple-goal pursuit. The aim of this project is to develop and test a formal theory that explains the mechanisms by which people make choices amongst competing goals in a dynamic and uncertain environment (‘multiple goal pursuit’). People have to manage competing goals in a wide range of settings (for example, work, education, sport), yet the mechanisms are poorly understood. The theory is expected to integrate formal theories of self-regulation with formal theories of decision making, to provide a more general account of multiple goal pursuit. The project aims to test the predictions of the theory in a series of experiments in which people have to pursue two goals simultaneously. The experiments allow us to test competing views, and understand the mechanisms involved.Read moreRead less
The dynamics of goal-oriented leader behaviour in action teams. Organisations increasingly rely on action teams - those that form swiftly to tackle urgent, potentially dangerous incidents that unfold rapidly in uncertain environments. Effective leadership is critical for managing teams in such dynamic situations. However, little is understood about the dynamic behaviours required of action team leaders to effectively manage goal-directed action. The project will integrate self-regulation, team l ....The dynamics of goal-oriented leader behaviour in action teams. Organisations increasingly rely on action teams - those that form swiftly to tackle urgent, potentially dangerous incidents that unfold rapidly in uncertain environments. Effective leadership is critical for managing teams in such dynamic situations. However, little is understood about the dynamic behaviours required of action team leaders to effectively manage goal-directed action. The project will integrate self-regulation, team leadership and team theories to propose when team leaders should perform various behaviours and for how long, in order to develop the team states required for effectiveness. The project will then test the model with Incident Command and Surgical teams. Results aim to uncover prescriptive guidelines for the training and management of action team leaders.Read moreRead less
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
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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