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Discovery Early Career Researcher Award - Grant ID: DE230100950
Funder
Australian Research Council
Funding Amount
$458,798.00
Summary
Automated People Management: When algorithms manage employees. This project aims to explain the impact of technologies that automate people management. Through four integrated studies, this project expects to generate new knowledge on a currently invisible set of managerial and industrial practices that are profoundly reshaping work and employment relations. Expected outcomes include the first typology of automated people management technologies that will be used to reveal where and how automate ....Automated People Management: When algorithms manage employees. This project aims to explain the impact of technologies that automate people management. Through four integrated studies, this project expects to generate new knowledge on a currently invisible set of managerial and industrial practices that are profoundly reshaping work and employment relations. Expected outcomes include the first typology of automated people management technologies that will be used to reveal where and how automated people management is occurring in Australia and its effects on managers and workers. This much needed research should provide significant practical benefit to organisations and inform emerging policy and frameworks for the responsible adoption of AI and digital technologies in Australian workplaces. Read moreRead less
Impact of cognitive task demands on the accumulation/dissipation of fatigue. Fatigue-related errors and accidents that occur at work cost the Australian economy $5.8 billion every year. Regulators and employers use mathematical models in special software to assess the fatigue risk associated with work schedules based on prior wake, time of day and recent sleep. Incredibly though, these models assume that the demands of your job have no influence on your level of fatigue, i.e., they do not differ ....Impact of cognitive task demands on the accumulation/dissipation of fatigue. Fatigue-related errors and accidents that occur at work cost the Australian economy $5.8 billion every year. Regulators and employers use mathematical models in special software to assess the fatigue risk associated with work schedules based on prior wake, time of day and recent sleep. Incredibly though, these models assume that the demands of your job have no influence on your level of fatigue, i.e., they do not differentiate between sitting quietly at work – and controlling air traffic, performing surgery or driving a truck. This project will improve the models by assessing how mental task demands affect fatigue. Models that are better able to predict fatigue will improve the health, safety and productivity of the Australian workforce.Read moreRead less
Re-Theorising Employee Voice in Times of Change. This project aims to generate new knowledge of the concept of employee voice as a part of organisational realignment throughout and following the CoVid-19 pandemic. The project aims to build a better theoretical modelling of efficient, effective “employee voice pathways” for the first time, including a understanding how voice changes over time. When confronted with a major external calamity, employee voice can play a critical role in any organisat ....Re-Theorising Employee Voice in Times of Change. This project aims to generate new knowledge of the concept of employee voice as a part of organisational realignment throughout and following the CoVid-19 pandemic. The project aims to build a better theoretical modelling of efficient, effective “employee voice pathways” for the first time, including a understanding how voice changes over time. When confronted with a major external calamity, employee voice can play a critical role in any organisation's success, as well as the employee wellbeing. Expected outcomes include rigorous empirical evidence and theoretical developments to inform new policy and support organisations' capacity to survive and thrive, as well a support employee wellbeing.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101520
Funder
Australian Research Council
Funding Amount
$375,573.00
Summary
Work fragmentation in the gig economy. The gig economy has fragmented working arrangements in Australia and globally, disrupting how, where and on what terms work is performed. This study will systematically interrogate the consequences for work and workers in Australia of the growth and diversification of gig work. It will use a labour geography approach to explain how workers navigate working in the gig economy in the context of their wider lives. This will extend existing research by groundin ....Work fragmentation in the gig economy. The gig economy has fragmented working arrangements in Australia and globally, disrupting how, where and on what terms work is performed. This study will systematically interrogate the consequences for work and workers in Australia of the growth and diversification of gig work. It will use a labour geography approach to explain how workers navigate working in the gig economy in the context of their wider lives. This will extend existing research by grounding analysis in the lived experience of workers both across various segments of the gig economy and over time. The project will extend academic theory and provide guidance to policymakers as to how to harness the benefits of gig work while mitigating potential harm.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100095
Funder
Australian Research Council
Funding Amount
$378,920.00
Summary
Using systems science to secure the health workforce against climate change. The widespread maldistribution of the Australian health workforce is creating significant health human resource shortages in non-urban areas of need. Climate-related extreme weather events (i.e., heat, droughts, fires, floods) are projected to exacerbate workforce deficiencies in rural regions. This project aims to explore how climate change will impact the future of the rural health workforce through a novel integratio ....Using systems science to secure the health workforce against climate change. The widespread maldistribution of the Australian health workforce is creating significant health human resource shortages in non-urban areas of need. Climate-related extreme weather events (i.e., heat, droughts, fires, floods) are projected to exacerbate workforce deficiencies in rural regions. This project aims to explore how climate change will impact the future of the rural health workforce through a novel integration of computational systems science methods. The project expects to discover new policies to correct the maldistribution and strengthen the resilience of the rural health workforce against climate change impacts. Benefits include a sustained and more adaptable workforce leading to improved health for vulnerable communities.Read moreRead less
Optimizing benefits of cultural diversity in Australian healthcare sector. Australian society and workplaces are increasingly becoming culturally diverse with growing numbers of immigrants from culturally and linguistically diverse (CaLD) backgrounds. However, it is not clear to what extent this diversity is being harnessed to improve organisational performance by leveraging the diverse range of knowledge and skills of CaLD customers and employees. This project aims to use social identity theory ....Optimizing benefits of cultural diversity in Australian healthcare sector. Australian society and workplaces are increasingly becoming culturally diverse with growing numbers of immigrants from culturally and linguistically diverse (CaLD) backgrounds. However, it is not clear to what extent this diversity is being harnessed to improve organisational performance by leveraging the diverse range of knowledge and skills of CaLD customers and employees. This project aims to use social identity theory and role theory to develop a comprehensive conceptual model for the process by which organisations identify, acknowledge, engage, accept, and adapt to cultural and linguistic diversity among their customers and employees. We also plan to test this model with data from customers and employees in Australian service sector.Read moreRead less