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?:abstract
  • The image that people have of robots/AI often does not correspond to reality. This can have effects on the effective implementation of these technologies in a country, generating a negative impact on its competitiveness. The objective of this article is to analyze whether the idea one has of a robot influences the perception of the impact of robotization on employment. To do this, partially based on the research of Shoss and Ciarlante (2022), it is employed a multilevel model with variables at the individual and country levels, incorporating to study, as a contribution, the density of robots per country as an independent variable into the study. The results confirm that: (i) the more distorted the image an individual has of what a robot is (Wrong image), the greater their perception that robots/AI pose a threat to jobs; and (ii) that in those countries where the density of robots is higher (operating robots per 10.000 workers), this perceived threat level is lower. (xsd:string)
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  • (Eurobarometer) (xsd:string)
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  • GESIS-Literaturpool (xsd:string)
?:dateModified
  • 2024 (xsd:gyear)
?:datePublished
  • 2024 (xsd:gyear)
?:doi
  • 10.58416/GCG.2024.V18.N3.05 ()
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  • 1 (xsd:string)
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  • english (xsd:string)
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?:issn
  • 19887116 ()
?:issueNumber
  • 3 (xsd:string)
?:name
  • Does the image that the population has of robots influence the perception of the impact of automatization on employment? (xsd:string)
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  • article (xsd:string)
?:reference
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  • Bibsonomy (xsd:string)
  • In Journal of Globalization, Competitiveness and Governability, 18(3), 1-14, 2024 (xsd:string)
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  • 2024 (xsd:string)
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  • EB_meth (xsd:string)
  • article (xsd:string)
  • english (xsd:string)
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  • 14 (xsd:string)
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  • 18 (xsd:string)