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Citation link: https://doi.org/10.26092/elib/1653
Leusin_MatheusEduardo_PhD_Dissertation.pdf
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Technological change and absorptive capacity: An evolutionary perspective of Artificial Intelligence


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Authors: Leusin, Matheus Eduardo  
Supervisor: Günther, Jutta  
1. Expert: Günther, Jutta  
Experts: Möhrle, Martin G.  
Abstract: 
This thesis takes an evolutionary theoretical perspective to analyse knowledge dynamics linked to the development of Artificial Intelligence (AI) innovations. An introductory chapter presents the thesis’ overarching theoretical framework, research questions, main findings, contributions, policy implications, and limitations. This chapter is followed by three empirical papers that focus on distinct knowledge dynamics related to the creation of AI innovations. The papers provide a comprehensive overview of the technological development of AI, how this development was reflected in countries’ exploration of this technology, and how it affected the innovative activities of firms that introduced AI innovations. The combined findings from these papers, it is argued, allow a better understanding of how specific technologies and global technological development can impact firms’ ability to learn and innovate.
Keywords: Artificial Intelligence; Evolutionary Economics; Absorptive capacity; Geography of innovation; Economic Complexity; Technological relatedness; Technological change
Issue Date: 17-Jun-2022
Type: Dissertation
DOI: 10.26092/elib/1653
URN: urn:nbn:de:gbv:46-elib60489
Institution: Universität Bremen 
Faculty: FB7 Wirtschaftswissenschaften
Appears in Collections:Dissertationen

  

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