A longitudinal dataset of retrenched automotive workers in Australia
Abstract The closure of Australia’s automotive manufacturing industry in 2017 marked a significant economic shift, leading to widespread job losses across Original Equipment Manufacturers and supply chain firms. This paper presents a consolidated dataset from all five waves of a longitudinal study t...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05424-8 |
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| _version_ | 1849769663330779136 |
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| author | Jacob Irving Andrew Beer Sally Weller Tom Barnes Ilke Onur Julie Ratcliffe David Bailey Markku Sotarauta Akshay Vij |
| author_facet | Jacob Irving Andrew Beer Sally Weller Tom Barnes Ilke Onur Julie Ratcliffe David Bailey Markku Sotarauta Akshay Vij |
| author_sort | Jacob Irving |
| collection | DOAJ |
| description | Abstract The closure of Australia’s automotive manufacturing industry in 2017 marked a significant economic shift, leading to widespread job losses across Original Equipment Manufacturers and supply chain firms. This paper presents a consolidated dataset from all five waves of a longitudinal study tracking the long-term outcomes of retrenched automotive workers from 2020 to 2024. The study collected data on employment status, job history, household circumstances, financial well-being, and labour market experiences, reflecting the diverse pathways taken by participants post-retrenchment. A total of 4,261 responses were collected over five waves, providing critical insights into the impacts of industry closures on affected workers and their communities. Data collection employed a combination of Computer-Assisted Telephone Interviews and online surveys, targeting retrenched autoworkers primarily from South Australia and Victoria. This dataset contributes a robust resource for researchers and policymakers seeking to understand the socio-economic effects of large-scale industry transitions and to inform future strategies for supporting displaced workers. |
| format | Article |
| id | doaj-art-a9fb4c7dadef45a49f2f732eee449ac6 |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-a9fb4c7dadef45a49f2f732eee449ac62025-08-20T03:03:20ZengNature PortfolioScientific Data2052-44632025-07-0112111010.1038/s41597-025-05424-8A longitudinal dataset of retrenched automotive workers in AustraliaJacob Irving0Andrew Beer1Sally Weller2Tom Barnes3Ilke Onur4Julie Ratcliffe5David Bailey6Markku Sotarauta7Akshay Vij8UniSA Business, University of South AustraliaUniSA Business, University of South AustraliaUniSA Business, University of South AustraliaInstitute for Humanities and Social Sciences, Australian Catholic UniversityCollege of Business, Government and Law, Flinders UniversityCollege of Nursing and Health Sciences, Flinders UniversityDepartment of Management, University of BirminghamFaculty of Management and Business, Tampere UniversityUniSA Business, University of South AustraliaAbstract The closure of Australia’s automotive manufacturing industry in 2017 marked a significant economic shift, leading to widespread job losses across Original Equipment Manufacturers and supply chain firms. This paper presents a consolidated dataset from all five waves of a longitudinal study tracking the long-term outcomes of retrenched automotive workers from 2020 to 2024. The study collected data on employment status, job history, household circumstances, financial well-being, and labour market experiences, reflecting the diverse pathways taken by participants post-retrenchment. A total of 4,261 responses were collected over five waves, providing critical insights into the impacts of industry closures on affected workers and their communities. Data collection employed a combination of Computer-Assisted Telephone Interviews and online surveys, targeting retrenched autoworkers primarily from South Australia and Victoria. This dataset contributes a robust resource for researchers and policymakers seeking to understand the socio-economic effects of large-scale industry transitions and to inform future strategies for supporting displaced workers.https://doi.org/10.1038/s41597-025-05424-8 |
| spellingShingle | Jacob Irving Andrew Beer Sally Weller Tom Barnes Ilke Onur Julie Ratcliffe David Bailey Markku Sotarauta Akshay Vij A longitudinal dataset of retrenched automotive workers in Australia Scientific Data |
| title | A longitudinal dataset of retrenched automotive workers in Australia |
| title_full | A longitudinal dataset of retrenched automotive workers in Australia |
| title_fullStr | A longitudinal dataset of retrenched automotive workers in Australia |
| title_full_unstemmed | A longitudinal dataset of retrenched automotive workers in Australia |
| title_short | A longitudinal dataset of retrenched automotive workers in Australia |
| title_sort | longitudinal dataset of retrenched automotive workers in australia |
| url | https://doi.org/10.1038/s41597-025-05424-8 |
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