人工智能炒作太多,强调学习太少?企业家通过与生成式人工智能对话学习设计商业模式

IF 4.6 3区 管理学 Q1 BUSINESS IEEE Transactions on Engineering Management Pub Date : 2024-10-22 DOI:10.1109/TEM.2024.3484750
Angelos Kostis;Johan Lidström;Sujith Nair;Jonny Holmström
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引用次数: 0

摘要

创业者传统上使用 "边做边学 "和 "边想边学 "这两种方法为新企业迭代建立商业模式。然而,这两种方法在如何解决对成功创业至关重要的新颖性和不确定性方面都面临着批评。虽然生成式人工智能(GenAI)越来越多地被用于创业任务中,但它如何成为创业者的学习资源仍有待探索。基于一项定性研究,我们提出了一个流程模型,说明创业者如何通过五种资源实践将 GenAI 纳入商业模式设计。这些做法将 GenAI 转化为促进设计过程中学习的宝贵资源。我们将这种方法称为 "对话学习",它引入了一种生成性创业方法,以补充精益创业模式。我们根据新手和经验丰富的创业者的参与方式,区分了两种会话学习模式--反思性学习和确认性学习。通过提出一种将 GenAI 与创业工作相结合的学习方法,我们弥合了商业模式生成中 "思考 "与 "实践 "的争论,加深了我们对 GenAI 在创业中的作用的理解。
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Too Much AI Hype, Too Little Emphasis on Learning? Entrepreneurs Designing Business Models Through Learning-by-Conversing With Generative AI
Entrepreneurs traditionally use “learning-by-doing” and “learning-by-thinking” as alternative approaches to iteratively build business models for their new ventures. However, both approaches face criticism in how they address novelty and uncertainty, which are crucial to successful entrepreneurship. While generative AI (GenAI) is increasingly used in entrepreneurial tasks, the practices through which it becomes a learning resource for entrepreneurs remain unexplored. Based on a qualitative study, we present a process model that illustrates how entrepreneurs incorporate GenAI into business model design through five resourcing practices. These practices transform GenAI into a valuable resource for facilitating learning during the design process. This approach, which we term “learning-by-conversing,” introduces a generative startup methodology to complement the lean startup model. We distinguish two modes of learning by conversing—reflexive learning and confirmatory learning—based on how novice and experienced entrepreneurs engage with it. By proposing a learning approach that integrates GenAI with entrepreneurial efforts, we bridge the “thinking” versus “doing” debate in business model generation and deepen our understanding of GenAI's role in entrepreneurship.
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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