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The GenAI is out of the bottle : generative artificial intelligence from a business model innovation perspective

  • The introduction of ChatGPT in November 2022 by OpenAI has stimulated substantial discourse on the implementation of artificial intelligence (AI) in various domains such as academia, business, and society at large. Although AI has been utilized in numerous areas for several years, the emergence of generative AI (GAI) applications such as ChatGPT, Jasper, or DALL-E are considered a breakthrough for the acceleration of AI technology due to their ease of use, intuitive interface, and performance. With GAI, it is possible to create a variety of content such as texts, images, audio, code, and even videos. This creates a variety of implications for businesses requiring a deeper examination, including an influence on business model innovation (BMI). Therefore, this study provides a BMI perspective on GAI with two primary contributions: (1) The development of six comprehensive propositions outlining the impact of GAI on businesses, and (2) the discussion of three industry examples, specifically software engineering, healthcare, and financial services. This study employs a qualitative content analysis using a scoping review methodology, drawing from a wide-ranging sample of 513 data points. These include academic publications, company reports, and public information such as press releases, news articles, interviews, and podcasts. The study thus contributes to the growing academic discourse in management research concerning AI’s potential impact and offers practical insights into how to utilize this technology to develop new or improve existing business models.

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Metadaten
Document Type:Article
Language:English
Author:Dominik K. KanbachORCiD, Louisa HeidukORCiD, Georg Blüher, Maximilian Schreiter, Alexander LahmannORCiD
Chairs and Professorships:Chair of Mergers & Acquisitions
Chair of Strategic Entrepreneurship
DOI:https://doi.org/10.1007/s11846-023-00696-z
Parent Title (English):Review of Managerial Science
ISSN:1863-6683
Volume:18
Issue:April 2024
Date of Publication (online):2023/09/13
First Page:1189
Last Page:1220
Year of first Publication:2024
Tag:Artificial intelligence; Business model innovation; ChatGPT; Generative AI; Large language models
Content Focus:Academic Audience
Peer Reviewed:Yes
Rankings:AJG Ranking / 2
VHB Ranking / B
SJR Ranking / Q1
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International