数字奥德赛导航:工业 4.0 中人工智能驱动的商业模式

IF 4 3区 经济学 Q1 ECONOMICS Journal of the Knowledge Economy Pub Date : 2024-07-03 DOI:10.1007/s13132-024-02096-4
Feng Ji, Yonghua Zhou, Hongjian Zhang, Guiqing Cheng, Qubo Luo
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引用次数: 0

摘要

在以数字技术与物理系统融合为特征的工业 4.0 时代,商业模式的转型对于工业的可持续发展至关重要。本研究探讨了人工智能驱动的数据分析在这一动态环境中塑造数字化商业模式的关键作用。研究调查了工业 4.0 背景下技术准备、创新潜力、自动化和控制以及隐私和安全因素之间的相互作用。我们的研究结果表明,技术准备是创新潜力的催化剂,强调了强大的技术基础设施的重要性。此外,创新潜力在技术准备与隐私和安全动态之间的联系中发挥着重要的中介作用,凸显了数字商业领域中创新与安全之间的共生关系。该研究强调了自动化和控制在保护隐私和促进安全方面的重要意义,强调在设计创新和安全的商业模式时需要自动化和数据驱动的方法。此外,它还提倡采取多方面的方法,促进技术进步与伦理考虑之间的协同作用。政策影响包括促进行业、学术界和政府之间的合作,以推动基于可行性和可持续性的创新解决方案。监管框架应鼓励自动化和控制措施,以保护消费者隐私,政策必须适应人工智能和工业 4.0 的快速发展。本研究阐明了人工智能在工业 4.0 数字商业模式创新中的关键作用。它强调了技术准备、创新潜力和道德因素在创建一个动态、安全的数字商业生态系统中的重要性。该研究设想了这样一个未来:数字商业模式创新将推动工业 4.0 的增长、效率和复原力,并塑造一个可持续发展和不断进步的工业部门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Navigating the Digital Odyssey: AI-Driven Business Models in Industry 4.0

In the era of Industry 4.0, characterized by the convergence of digital technologies and physical systems, the transformation of business models is paramount for sustainable industrial growth. This research explores the critical role of AI-driven data analytics in shaping digital business models within this dynamic landscape. The study investigates the interplay between technology readiness, innovation potential, automation and control, and privacy and security considerations in the context of Industry 4.0. Our findings reveal that technology readiness serves as a catalyst for innovation potential, emphasizing the importance of a robust technological infrastructure. Moreover, innovation potential plays a substantial mediating role in the linkage between technology readiness and privacy and security dynamics, highlighting the symbiotic relationship between innovation and security in the digital business arena. The study underscores the significance of automation and control in safeguarding privacy and fostering security, emphasizing the need for automated, data-driven approaches in crafting innovative and secure business models. Furthermore, it advocates for a multifaceted approach that fosters synergies between technological advancements and ethical considerations. Policy implications include the promotion of collaboration between industries, academia, and governments to catalyze innovative solutions grounded in feasibility and sustainability. Regulatory frameworks should encourage automation and control measures to protect consumer privacy, and policies must remain adaptable to the fast-paced developments in AI and Industry 4.0. This research illuminates the pivotal role of AI in shaping digital business model innovations in Industry 4.0. It emphasizes the importance of technology readiness, innovation potential, and ethical considerations in creating a dynamic and secure digital business ecosystem. The study envisions a future where digital business model innovations drive growth, efficiency, and resilience in Industry 4.0, shaping a sustainable and progressive industrial sector.

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来源期刊
CiteScore
5.90
自引率
27.30%
发文量
228
期刊介绍: In the context of rapid globalization and technological capacity, the world’s economies today are driven increasingly by knowledge—the expertise, skills, experience, education, understanding, awareness, perception, and other qualities required to communicate, interpret, and analyze information. New wealth is created by the application of knowledge to improve productivity—and to create new products, services, systems, and process (i.e., to innovate). The Journal of the Knowledge Economy focuses on the dynamics of the knowledge-based economy, with an emphasis on the role of knowledge creation, diffusion, and application across three economic levels: (1) the systemic ''meta'' or ''macro''-level, (2) the organizational ''meso''-level, and (3) the individual ''micro''-level. The journal incorporates insights from the fields of economics, management, law, sociology, anthropology, psychology, and political science to shed new light on the evolving role of knowledge, with a particular emphasis on how innovation can be leveraged to provide solutions to complex problems and issues, including global crises in environmental sustainability, education, and economic development. Articles emphasize empirical studies, underscoring a comparative approach, and, to a lesser extent, case studies and theoretical articles. The journal balances practice/application and theory/concepts.
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