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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hanno, Lorenz | - |
| dc.contributor.author | Fabian, Stephany | - |
| dc.contributor.author | Jan, Kluge | - |
| dc.date.accessioned | 2023-04-12T02:12:58Z | - |
| dc.date.available | 2023-04-12T02:12:58Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s10663-023-09571-2 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7796 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | The uniqueness of human labour is at question in times of smart technologies. As computing power and data available increases, the discussion on technological unemployment reawakens. Prominently, Frey and Osborne (Technol Forecast Soc Change 114:254–280, 2017) estimated that half of US employment must be considered exposed to computerization within the next 20 years; followed by a series of papers expanding the research with information on heterogeneous job-specific tasks within the same jobs diminishing digitization potentials to only smaller fractions of workers at high risk. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | digitization risks | vi |
| dc.title | The future of employment revisited how model selection affects digitization risks | vi |
| dc.type | Book | vi |
| Appears in Collections | OER - Kinh tế và Quản lý | |
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