The Next Production Revolution - Implications for Governments and Business
This chapter examines the economic and policy implications of a set of technologies likely to be important for production over the near term. It focuses on the productivity implications of digital technologies in early-adopting firms in various industries, including traditional sectors such as agriculture. The chapter discusses policy settings needed to realize the potential productivity benefits of digital technologies in production, while mitigating associated risks.
(Generated with the help of GPT-4)
Quick Facts | |
---|---|
Report location: | source |
Language: | English |
Publisher: | Organisation for Economic Co-operation and Development |
Authors: | Christian Reimsbach-kounatze |
Page count: | 442 pages |
Methods
The chapter discusses the confluence of digital technologies that are enabling the digital transformation of industrial production. Key technologies include big-data analytics, cloud computing, the IoT, artificial intelligence, and 3D printing. These technologies are driving the creation of more customizable goods and services, leading to increased productivity and the development of new business models. The chapter also highlights the disruptive nature of digital transformation and the emergence of new competitive landscapes.
(Generated with the help of GPT-4)
Key Insights
Digital technologies are transforming industrial production and agriculture through advanced ICT applications such as big-data analytics, cloud computing, and the Internet of Things (IoT). These technologies enable new production processes, organizational methods, and business models, leading to increased productivity and the creation of new services. However, the adoption of these technologies is uneven across countries and firm sizes, and there are challenges related to interoperability, standards, and skills shortages.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: 3d printing | English publication language | artificial intelligence | autonomous machines | big-data analytics | bioproduction | biotechnology | business models | cloud computing | co-opetition | competition | data-driven innovation | digital technologies | economy | employment | fourth industrial revolution | globalisation | governance | growth | human-machine integration | industry | innovation | intellectual property | internet of things | interoperability | jobs and skills | new skills | policy challenges | privacy | productivity | servicification | skills shortage | standards | sustainability | taxation | technology