Research on The Influence of Digital Level on Knowledge Evolution Based on Threshold Regression Model

Yu Liu; Yan Wang; Jieru Wu; Shuo Liu

doi:10.2991/978-94-6463-056-5_113

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Research on The Influence of Digital Level on Knowledge Evolution Based on Threshold Regression Model

Authors

Yu Liu¹^{, *}, Yan Wang¹, Jieru Wu¹, Shuo Liu¹

¹Economics and Management School, Harbin University of Science and Technology, Harbin, China

^*Corresponding author. Email: 13241245644@163.com

Corresponding Author

Yu Liu

Available Online 29 December 2022.

DOI: 10.2991/978-94-6463-056-5_113 How to use a DOI?
Keywords: Digital level; Manufacturing digital innovation ecosystem; Dynamic capabilities; Knowledge evolution; Threshold effect
Abstract: Manufacturing digital innovation ecosystem is an industrial organization form suitable for the digital age and an important way to realize high-quality development of manufacture. From the perspective of manufacturing digital innovation ecosystem, this paper takes the dynamic capabilities as the threshold variable, empirically testing the threshold effect of the impact of digital level on knowledge evolution based on the panel data of 28 China’s manufacturing industries from 2013 to 2020. The results show that the dynamic capabilities have a significant double-threshold effect in the model of digital level on knowledge evolution. With the improvement of dynamic capabilities, the influence of digital level on knowledge inheritance presents a J-shaped relationship, while digital level and knowledge variation show a S-shaped correlation.
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: 10.2991/978-94-6463-056-5_113
ISSN: 2589-4900
DOI: 10.2991/978-94-6463-056-5_113 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Yu Liu
AU  - Yan Wang
AU  - Jieru Wu
AU  - Shuo Liu
PY  - 2022
DA  - 2022/12/29
TI  - Research on The Influence of Digital Level on Knowledge Evolution Based on Threshold Regression Model
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 780
EP  - 785
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_113
DO  - 10.2991/978-94-6463-056-5_113
ID  - Liu2022
ER  -

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