数字商业模式创新:对人工智能驱动因素和价值的实证洞察

Juha Winter
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引用次数: 2

摘要

传统工业公司的商业活动通常集中在产品和与产品相关的服务上。数字化先驱已经将他们的产品发展成为网络化、智能化、个性化和适应性强的产品服务系统。许多市场参与者仍然低估了商业模式必须改变的速度,尤其是在订单充足、改变的压力似乎很低的情况下。工业和服务公司需要更好地适应新市场参与者带来的变化,以确保未来的商业成功,并在数字时代保持竞争力。本文的目的是加强关于工业和服务业中数字商业模式创新的辩论,并通过在产品和服务中成功实施人工智能的实际例子来丰富辩论。
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Digital Business Model Innovation: Empirical insights into the drivers and value of Artificial Intelligence
The business activities of traditional industrial companies have commonly focused on products and product-related services. Digital pioneers have evolved their offerings into product-service systems that are networked, intelligent, personalized, and adaptable. The speed at which business models must change continues to be underestimated by many market participants, especially when order books are well filled and the pressure to change appears to be low. Industrial and service companies need to adapt to the changes induced by new market players better today than tomorrow to secure future business success and remain competitive in the digital age. The aim of this article is to intensify the debate on digital business model innovation in industry and the service sector and to enrich it with practical examples of the successful implementation of artificial intelligence in products and services.
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