Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)

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Research on the Impact of Manufacturing Digital Technology Transfer on Knowledge Flow Based on Multilayer Regression

The Mediating Effect of Digital Innovation Ecosystem

Authors
Jieru Wu1, *, Shuo Liu1, Yan Wang1, Yu Liu1
1School of Economics and Management, Harbin University of Science and Technology, Harbin, China
*Corresponding author. Email: 15656838539@163.com
Corresponding Author
Jieru Wu
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-056-5_119How to use a DOI?
Keywords
Knowledge Flow; Digital Technology Transfer; Digital Innovation Ecosystem
Abstract

Manufacturing is the top priority of national development. In the context of the digital economy and knowledge economy, this paper studies the impact of digital technology transfer in the manufacturing industry on knowledge flow. Based on the panel data of 29 manufacturing industries from 2012 to 2020, this paper uses models such as panel fixed effects and multi-level regression to explore the impact of digital technology transfer on knowledge flow from the perspective of digital innovation ecosystem growth. The results show that the digital technology transfer process and digital technology transfer performance have a significant impact on knowledge flow; in the mediation analysis, the mediating roles of the digital innovation ecosystem scale, capacity and environment are significant. It’s expected to improve the service capabilities of digital technology transfer and build a sharing platform for knowledge flow, so as to provide a theoretical basis for promoting the development of the digital economy and the high-quality development of the manufacturing industry.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-056-5
ISSN
2589-4900
DOI
10.2991/978-94-6463-056-5_119How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jieru Wu
AU  - Shuo Liu
AU  - Yan Wang
AU  - Yu Liu
PY  - 2022
DA  - 2022/12/29
TI  - Research on the Impact of Manufacturing Digital Technology Transfer on Knowledge Flow Based on Multilayer Regression
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 820
EP  - 828
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_119
DO  - 10.2991/978-94-6463-056-5_119
ID  - Wu2022
ER  -