Proceedings of the 2024 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024)

AI-Driven Dynamic Knowledge Innovation: Social Capital and Cognitive Pathways in Financial Industry Innovation

Authors
Weizheng Jiang1, 2, *, Yongzhou Li1, Xifang Wang2
1College of Management, Wuhan University of Science and Technology, Wuhan, Hubei, China
2School of Management, Wuhan Technology and Business University, Wuhan, Hubei, China
*Corresponding author. Email: WeizhengJiang@wust.edu.cn
Corresponding Author
Weizheng Jiang
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-578-2_11How to use a DOI?
Keywords
AI-driven social capital; intelligent social network; dynamic knowledge innovation; cognitive taxonomy; network centrality; gradient descent
Abstract

In this era of artificial intelligence (AI), humanoid systems enhance social capital, and this enhancement promotes knowledge innovation. The intelligent social network (ISN) is a crucial construct in this process. This paper aims to explore the effects of AI on social capital and innovation by constructing various types of social networks and characterizing the entire process of knowledge innovation from a cognitive perspective. This study collected 400 samples from the Xiaoguishan Financial Industrial Park, including data on the centrality of vertical networks, interactive networks, sequential networks, friend networks, advice networks, and ISN of members surveyed using the network nomination method. Members’ knowledge innovation was surveyed using cognitive taxonomy and After Action Review (AAR) methods. The gradient descent algorithm was used to iterate and optimize the regression coefficients. The results show that social capital generated by AI has a significantly higher positive impact on innovation than other types of networks, particularly in application, analysis, and remembering in the cognitive taxonomies. This finding contributes to a deeper understanding of AI-driven social capital, facilitating further references to this concept in future research.

Copyright
© 2024 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 2024 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024)
Series
Advances in Intelligent Systems Research
Publication Date
1 December 2024
ISBN
978-94-6463-578-2
ISSN
1951-6851
DOI
10.2991/978-94-6463-578-2_11How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Weizheng Jiang
AU  - Yongzhou Li
AU  - Xifang Wang
PY  - 2024
DA  - 2024/12/01
TI  - AI-Driven Dynamic Knowledge Innovation: Social Capital and Cognitive Pathways in Financial Industry Innovation
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024)
PB  - Atlantis Press
SP  - 83
EP  - 92
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-578-2_11
DO  - 10.2991/978-94-6463-578-2_11
ID  - Jiang2024
ER  -