Abstract
Digital technologies significantly disrupt traditional industries and enable gains in efficiency for almost every firm at different stages of the supply chain. Smart manufacturing, also called digital manufacturing, Industry 4.0, is a complex concept, which integrates the pull of production and information technologies to operate on the production floor and drive product development in a virtual environment [1, 2]. In traditional industries, these changes often enhance the introduction of new or an improvement of existing products [3]. Raising the complexity of technologies and its interplay generate a variety of standardization alternatives that formalize the results of innovative activities [4].
This chapter provides an assessment of smart manufacturing performance of countries by examining related policy for the uptake of digital technologies and its standardization in production industries. Our research relies on the concept of innovation policy and theories of endogenous growth, which considers standards development a demand-side instrument for technology adoption [5,6,7]. By comparing cases of the leading industrial countries (China, Germany, Japan, the Republic of Korea, and the USA), we introduce three models of standardization in smart manufacturing, which are supported by the analysis of high-tech exports. The results could be useful for policymakers as well as businesses in the calibration of digitalization strategies.
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Notes
- 1.
It includes a range of indicators that form their industrial performance, including manufacturing value-added, export, shares of high-tech and medium-tech industries, and some others.
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The chapter was prepared within the framework of the Basic Research Program of the National Research University Higher School of Economics.
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Turovets, Y., Vishnevskiy, K. (2023). Standardization in Smart Manufacturing: Evaluation from a Supply-Side Perspective. In: Kahraman, C., Haktanır, E. (eds) Intelligent Systems in Digital Transformation. Lecture Notes in Networks and Systems, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-031-16598-6_9
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