Dominik K. Kanbach, Louisa Heiduk, Georg Blueher, Maximilian Schreiter, Alexander Lahmann
{"title":"The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective","authors":"Dominik K. Kanbach, Louisa Heiduk, Georg Blueher, Maximilian Schreiter, Alexander Lahmann","doi":"10.1007/s11846-023-00696-z","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":20992,"journal":{"name":"Review of Managerial Science","volume":"23 1","pages":"0"},"PeriodicalIF":7.8000,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Managerial Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11846-023-00696-z","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 5
Abstract
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.
期刊介绍：
Review of Managerial Science (RMS) provides a forum for innovative research from all scientific areas of business administration. The journal publishes original research of high quality and is open to various methodological approaches (analytical modeling, empirical research, experimental work, methodological reasoning etc.). The scope of RMS encompasses – but is not limited to – accounting, auditing, banking, business strategy, corporate governance, entrepreneurship, financial structure and capital markets, health economics, human resources management, information systems, innovation management, insurance, marketing, organization, production and logistics, risk management and taxation. RMS also encourages the submission of papers combining ideas and/or approaches from different areas in an innovative way. Review papers presenting the state of the art of a research area and pointing out new directions for further research are also welcome. The scientific standards of RMS are guaranteed by a rigorous, double-blind peer review process with ad hoc referees and the journal´s internationally composed editorial board.
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