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Erscheinungsjahr: 
2025
Quellenangabe: 
[Journal:] Junior Management Science (JUMS) [ISSN:] 2942-1861 [Volume:] 10 [Issue:] 1 [Year:] 2025 [Pages:] 1-23
Verlag: 
Junior Management Science e. V., Planegg
Zusammenfassung: 
With the significant increase in public interest in ChatGPT since its breakthrough following the public release in November 2022, an expanding array of application possibilities is being discovered. This heightened interest is also reflected in economic contexts and for businesses. These Generative AI (GenAI) models are believed to have the potential to contribute trillions of dollars in value to the global economy. Now, pioneering companies face the challenge of successfully leveraging this Generative AI technology to their advantage, positioning themselves successfully at the forefront of AI. The adoption of Generative AI proves to be neither straightforward nor simple for companies and is associated with various challenges. Within this thesis, these challenges will be identified by conducting a multiple-case study involving expert interviews. Practical insights will be obtained to identify the decisive factors for the successful adoption of Generative AI, and these insights will be translated into a hands-on implementation framework for companies.
Schlagwörter: 
ChatGPT Enterprise
Generative AI
GenAI
GenAI adoption
GenAI framework
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