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Grant Award View - GA268665
Automated People Management: When algorithms manage employees
GA ID:
GA268665
Agency:
Australian Research Council
Approval Date:
29-Sep-2022
Publish Date:
5-Oct-2022
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Feb-2023 to 31-Jan-2026
Original: 1-Jan-2023 to 31-Dec-2025
Value (AUD):
$458,798.00
(GST inclusive where applicable)
Variations:
- GA268665-V1 - Variation to Grant (8-Feb-2023 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 22/23 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Automated People Management: When algorithms manage employees
Purpose:
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.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2023
Internal Reference ID:
DE23 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Queensland University of Technology
Recipient ABN:
83 791 724 622
Grant Recipient Location
Suburb:
BRISBANE CITY
Town/City:
BRISBANE CITY
Postcode:
4000
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4000
Country:
AUSTRALIA