Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/319172 
Year of Publication: 
2024
Citation: 
[Journal:] Journal of the Knowledge Economy [ISSN:] 1868-7873 [Volume:] 15 [Issue:] 4 [Publisher:] Springer US [Place:] New York, NY [Year:] 2024 [Pages:] 19490-19516
Publisher: 
Springer US, New York, NY
Abstract: 
The company’s rapid adaptation to digital transformation (DT) both in the most innovative economies and in the less innovative economies is one of the topics that keeps the field of innovation studies very busy but also governments. The artificial intelligence (AI) sector is one of the areas that is having the greatest degree of influence due to the effects of DT. While it is true that with DT these companies have a high potential for innovation, it is also true that their business models require a permanent readaptation process with the dynamics and complexity of technological changes. This research contributes to help companies to understand the complexity and dynamics of DT. Through a set of configurations based on the qualitative comparative analysis (QCA) method, it is possible to identify the positioning of the companies in the artificial intelligence sector in relation to this technological pattern. One of the most relevant conclusions is that the construction of configurations related to radical changes allows companies to observe the complexity and dynamics of these changes.
Subjects: 
Digital transformation
Artificial intelligence
Entrepreneurship
Innovation capacity
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.