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

多样性(控制论) 透视图(图形) 生成语法 商业模式 计算机科学 商业智能 数据科学 知识管理 人工智能 营销 业务
作者
Dominik K. Kanbach,Louisa Heiduk,Georg Blueher,Maximilian Schreiter,Alexander Lahmann
出处
期刊:Review of Managerial Science [Springer Science+Business Media]
卷期号:18 (4): 1189-1220 被引量:117
标识
DOI:10.1007/s11846-023-00696-z
摘要

Abstract 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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