Description
Paper title this data set accompanies (submitted for peer review)
Cognitive frames that drive AI adoption
Paper Abstract
We investigate the role of cognitive frames in the adoption of artificial intelligence in the workplace. We propose a theoretical model of a three-level hierarchy of AI adoption that distinguishes between acceptance, collaboration, and co-creation. Each level represents higher levels of sophistication in human involvement in working with AI, ranging from passive utilitarian acceptance to active collaboration and co-creation. Using reasoning from technological frames of reference theory, we tested a structural model connecting individual cognitive frames to AI adoption. We developed a structural equation model that analyzed data collected from a sample of 305 professionals in Europe who have a high usage of technology in the workplace. Our results show the model exhibits high goodness of fit and predictive relevance. The work contributes to a greater understanding of the role of cognitive frames in driving the behavioural intention of adopting increasingly sophisticated AI technologies.
Grant Information
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101023024 for Augmented-Humans.
Cognitive frames that drive AI adoption
Paper Abstract
We investigate the role of cognitive frames in the adoption of artificial intelligence in the workplace. We propose a theoretical model of a three-level hierarchy of AI adoption that distinguishes between acceptance, collaboration, and co-creation. Each level represents higher levels of sophistication in human involvement in working with AI, ranging from passive utilitarian acceptance to active collaboration and co-creation. Using reasoning from technological frames of reference theory, we tested a structural model connecting individual cognitive frames to AI adoption. We developed a structural equation model that analyzed data collected from a sample of 305 professionals in Europe who have a high usage of technology in the workplace. Our results show the model exhibits high goodness of fit and predictive relevance. The work contributes to a greater understanding of the role of cognitive frames in driving the behavioural intention of adopting increasingly sophisticated AI technologies.
Grant Information
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101023024 for Augmented-Humans.
| Date made available | 29 Nov 2024 |
|---|---|
| Publisher | Zenodo |
Field of science, Statistics Finland
- 113 Computer and information sciences
Cite this
- DataSetCite