向开放行业平台转变思维:人工智能在商业模式创新中的作用

IF 3.9 3区 管理学 Q2 BUSINESS
Pia Hautamäki , Minna Heikinheimo
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引用次数: 0

摘要

许多跨行业的传统企业对企业(B2B)公司已经引入了数字平台,利用人工智能(AI)进行平台开发,以提高共同价值创造和生产力。平台所有者在这些平台的治理和设计基于平台的商业模式(bpm)以促进平台生态系统内的价值创造方面发挥着关键作用。鉴于B2B平台的复杂架构,平台所有者必须在整个平台生命周期中不断更新他们的能力并转变他们的思维方式,以创新新的基于平台的bpm,他们越来越多地为此目的使用人工智能工具。然而,关于商业模式创新(BMI)的研究很少关注管理者如何转变思维方式以支持数字平台的发展,或者人工智能如何支持这些转变。因此,本研究探讨了人工智能如何在平台环境下推进BMI,以及管理人员必须进行哪些思维转变。我们专注于9家拥有B2B平台的传统公司,并采访了15位经理。我们的研究结果表明,人工智能在数字平台BMI的演变中扮演着三个不同的角色:人工智能作为优化者、扩展者和创造者。我们的研究结果强调,平台生态系统中由人工智能驱动的BMI不仅是技术驱动的,还需要管理者心态的重大转变。我们还提供了实用的见解,展示了人工智能处理大量数据的能力如何使平台所有者能够开发更复杂的BMI。此外,我们鼓励传统公司的管理者在数字平台发展过程中反思自己的心态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transforming mindsets toward open industry platforms: The role of AI in business model innovation
Many traditional business-to-business (B2B) firms across industries have introduced digital platforms to enhance joint value creation and productivity, using artificial intelligence (AI) for platform development. Platform owners play a critical role in such platforms’ governance and in designing platform-based business models (BMs) to foster value creation within platform ecosystems. Given the complex architecture of B2B platforms, platform owners must continuously renew their capabilities and shift their mindset throughout the platform lifecycle to innovate new platform-based BMs, and they increasingly use AI tools for this purpose. However, little research on business model innovation (BMI) has focused on how managers can shift their mindsets to support the evolution of digital platforms or how AI can support these shifts. Therefore, this study investigates how AI is advancing BMI in the platform context and what mindset shifts must occur in managers. We focused on nine traditional firms that are B2B platform owners and interviewed 15 managers. Our findings show that AI plays three distinct roles in the evolution of a digital platform’s BMI: AI as Optimizer, as Expander, and as Creator. Our findings emphasize that AI-powered BMI in platform ecosystems is not solely technology driven but also requires significant shifts in managers’ mindsets. We also provide practical insights, demonstrating how AI’s capacity to process vast amounts of data can empower platform owners to develop more sophisticated BMI. Furthermore, we encourage managers in traditional firms to reflect on their own mindsets during digital platform evolution.
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来源期刊
CiteScore
8.00
自引率
6.20%
发文量
29
审稿时长
>12 weeks
期刊介绍: The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management. The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning. The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.
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