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首页> 外文期刊>Journal of Business Research >AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research
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AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research

机译：在工业生态系统中支持AI的业务模式创新和转型：进一步研究的框架，模型和概述

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Manufacturing incumbents find it difficult to integrate AI in their traditional business models. This paper draws on the research question: How does manufacturing incumbents use AI for enabling business model innovation in industrial ecosystems? We use qualitative method in order to study four large global manufacturing incumbents that are transforming their business models with AI. We performed more than 30 semi-structured in-depth interviews with strategic key personnel in order to understand how they have succeeded with implementing AI and transforming business models. Our main contribution establishes the need for AI business-model innovation to be aligned with ecosystem innovation. Specifically, in short-term incumbents may use ecosystem reconfiguration strategy, whereas long-term strategies relate to ecosystem revitalization, and resilience. Thus, we contribute by connecting organizational microelements with ecosystem macro dimensions and provide an evolutionary model envisioning how incumbents attempt to promote strategic transitions in their firms and ecosystems.
机译：制造业现任发现难以在其传统商业模式中整合AI。本文借鉴了研究问题：制造现代人如何使用AI在工业生态系统中实现商业模式创新？我们使用定性方法，以研究四个正在使用AI转换其商业模式的大型全球制造业。我们通过战略关键人员进行了30多次半结构化的深入访谈，以了解他们如何成功实施AI和转型商业模式。我们的主要贡献建立了艾西商业模式创新的需求，以与生态系统创新一致。具体而言，在短期上，现任者可以使用生态系统重新配置策略，而长期策略与生态系统振兴和弹性有关。因此，我们通过将组织微量元素与生态系统宏观尺寸连接，并提供进化模型，并设想现任者如何促进其公司和生态系统中的战略转型。

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