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Artificial intelligence, productivity and performance
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Ji, Yanwan (2023) Artificial intelligence, productivity and performance. PhD thesis, University of Warwick.
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Official URL: http://webcat.warwick.ac.uk/record=b3965332
Abstract
The thesis contributes to the field of digital economy and strategy. It links and contributes to readdressing several key economic issues, such as the AI productivity paradox, the UK productivity puzzle, EU productivity gaps, and the firm’s profitability and performances from a distinct point of view. We shed light in terms of the underlying mechanisms of AI and cloud computing technologies and the role of unmeasured intangible capital and investigate the consequences of digital adoption and diffusion. All the three papers are quantitative empirical analysis leveraging multiple quantitative methods and panel data analysis. They are separate chapters but also inter-connected, bringing a complete picture to understand emerging technologies. The gaps and contributions are highlighted in the part of the introduction (the overview) and are discussed with rich details in each chapter accordingly.
Item Type: | Thesis (PhD) | ||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HF Commerce Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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Library of Congress Subject Headings (LCSH): | Artificial intelligence -- Economic aspects, Labor productivity, Cloud computing -- Economic aspects | ||||
Official Date: | January 2023 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | Warwick Business School | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Battisti, Giuliana ; Galvão, Ana Beatriz C. (Ana Beatriz Camatari) | ||||
Format of File: | |||||
Extent: | 163 pages : illustrations | ||||
Language: | eng |
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