GenAI已经从瓶子里出来了:从商业模式创新的角度来看，它是生成式人工智能

IF 7.8 3区管理学 Q1 MANAGEMENT

Review of Managerial Science Pub Date : 2023-09-13 DOI:10.1007/s11846-023-00696-z

Dominik K. Kanbach, Louisa Heiduk, Georg Blueher, Maximilian Schreiter, Alexander Lahmann

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引用次数: 5

摘要

OpenAI于2022年11月引入ChatGPT，激发了学术界、商业和社会等各个领域对人工智能(AI)实施的大量讨论。虽然人工智能已经在许多领域使用了几年，但由于其易于使用，直观的界面和性能，诸如ChatGPT, Jasper或DALL-E等生成式人工智能(GAI)应用程序的出现被认为是加速人工智能技术的突破。使用GAI，可以创建各种内容，如文本、图像、音频、代码甚至视频。这对需要深入研究的企业产生了各种影响，包括对商业模式创新(BMI)的影响。因此，本研究提供了一个BMI视角来看待GAI，主要有两个贡献:(1)提出了六个综合命题，概述了GAI对企业的影响;(2)讨论了三个行业的例子，特别是软件工程、医疗保健和金融服务。本研究采用定性内容分析，使用范围审查方法，从513个数据点的广泛样本中绘制。这些包括学术出版物、公司报告和公共信息，如新闻稿、新闻文章、采访和播客。因此，这项研究有助于管理研究中关于人工智能潜在影响的学术讨论，并为如何利用这项技术开发新的或改进现有的商业模式提供了实用的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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

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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来源期刊

Review of Managerial Science MANAGEMENT-

CiteScore

11.30

自引率

14.50%

发文量

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.