Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk

Suxian Li; Luyu Zhang

doi:doi:10.11648/j.ijefm.20231103.11

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Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk

Suxian Li, Luyu Zhang

Published in International Journal of Economics, Finance and Management Sciences (Volume 11, Issue 3)

Received: 2 April 2023 Accepted: 21 April 2023 Published: 27 April 2023

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Abstract

Under the background of the digital economy, the world is more closely connected, which also means the magnification of uncertainty and the elevation of the risk level of enterprise characteristics. How to make the enterprise have core competitiveness and reduce the enterprise's characteristic risk as much as possible, both the theoreticians and practitioners need to pay attention to and solve the problem. AI innovation is an important way for manufacturing enterprises to gain competitive advantage in the era of the digital economy. The existing data show that more scholars believe that technological innovation plays an important role in effectively reducing the risk of enterprise characteristics, and have a thorough discussion on it, it is found that not only the individual level of the enterprise factors will have an impact on the idiosyncratic risk, the internal resources of the enterprise will also have an impact on the idiosyncratic risk. As an important resource for enterprises to gain competitive advantage, redundant resources in this framework have attracted much attention from scholars. However, some studies have not revealed the mechanism and lack reliable empirical conclusions. Therefore, from the perspective of redundant resources to explore the impact of the digital economy era to reduce enterprise risk factors and their mechanisms have significant theoretical and practical value.

Published in	International Journal of Economics, Finance and Management Sciences (Volume 11, Issue 3)
DOI	10.11648/j.ijefm.20231103.11
Page(s)	87-92
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

AI Innovation, Idiosyncratic Risk, Redundant Resources

References

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APA Style

Suxian Li, Luyu Zhang. (2023). Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk. International Journal of Economics, Finance and Management Sciences, 11(3), 87-92. https://doi.org/10.11648/j.ijefm.20231103.11

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ACS Style

Suxian Li; Luyu Zhang. Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk. Int. J. Econ. Finance Manag. Sci. 2023, 11(3), 87-92. doi: 10.11648/j.ijefm.20231103.11

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AMA Style

Suxian Li, Luyu Zhang. Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk. Int J Econ Finance Manag Sci. 2023;11(3):87-92. doi: 10.11648/j.ijefm.20231103.11

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@article{10.11648/j.ijefm.20231103.11,
  author = {Suxian Li and Luyu Zhang},
  title = {Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk},
  journal = {International Journal of Economics, Finance and Management Sciences},
  volume = {11},
  number = {3},
  pages = {87-92},
  doi = {10.11648/j.ijefm.20231103.11},
  url = {https://doi.org/10.11648/j.ijefm.20231103.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20231103.11},
  abstract = {Under the background of the digital economy, the world is more closely connected, which also means the magnification of uncertainty and the elevation of the risk level of enterprise characteristics. How to make the enterprise have core competitiveness and reduce the enterprise's characteristic risk as much as possible, both the theoreticians and practitioners need to pay attention to and solve the problem. AI innovation is an important way for manufacturing enterprises to gain competitive advantage in the era of the digital economy. The existing data show that more scholars believe that technological innovation plays an important role in effectively reducing the risk of enterprise characteristics, and have a thorough discussion on it, it is found that not only the individual level of the enterprise factors will have an impact on the idiosyncratic risk, the internal resources of the enterprise will also have an impact on the idiosyncratic risk. As an important resource for enterprises to gain competitive advantage, redundant resources in this framework have attracted much attention from scholars. However, some studies have not revealed the mechanism and lack reliable empirical conclusions. Therefore, from the perspective of redundant resources to explore the impact of the digital economy era to reduce enterprise risk factors and their mechanisms have significant theoretical and practical value.},
 year = {2023}
}

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TY  - JOUR
T1  - Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk
AU  - Suxian Li
AU  - Luyu Zhang
Y1  - 2023/04/27
PY  - 2023
N1  - https://doi.org/10.11648/j.ijefm.20231103.11
DO  - 10.11648/j.ijefm.20231103.11
T2  - International Journal of Economics, Finance and Management Sciences
JF  - International Journal of Economics, Finance and Management Sciences
JO  - International Journal of Economics, Finance and Management Sciences
SP  - 87
EP  - 92
PB  - Science Publishing Group
SN  - 2326-9561
UR  - https://doi.org/10.11648/j.ijefm.20231103.11
AB  - Under the background of the digital economy, the world is more closely connected, which also means the magnification of uncertainty and the elevation of the risk level of enterprise characteristics. How to make the enterprise have core competitiveness and reduce the enterprise's characteristic risk as much as possible, both the theoreticians and practitioners need to pay attention to and solve the problem. AI innovation is an important way for manufacturing enterprises to gain competitive advantage in the era of the digital economy. The existing data show that more scholars believe that technological innovation plays an important role in effectively reducing the risk of enterprise characteristics, and have a thorough discussion on it, it is found that not only the individual level of the enterprise factors will have an impact on the idiosyncratic risk, the internal resources of the enterprise will also have an impact on the idiosyncratic risk. As an important resource for enterprises to gain competitive advantage, redundant resources in this framework have attracted much attention from scholars. However, some studies have not revealed the mechanism and lack reliable empirical conclusions. Therefore, from the perspective of redundant resources to explore the impact of the digital economy era to reduce enterprise risk factors and their mechanisms have significant theoretical and practical value.
VL  - 11
IS  - 3
ER  -

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Author Information

Suxian Li

School of Business Administration, Guizhou University of Finance and Economics, Guiyang, China
Luyu Zhang

School of Business Administration, Guizhou University of Finance and Economics, Guiyang, China

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Plain Text BibTeX RIS

APA Style

Suxian Li, Luyu Zhang. (2023). Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk. International Journal of Economics, Finance and Management Sciences, 11(3), 87-92. https://doi.org/10.11648/j.ijefm.20231103.11

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ACS Style

Suxian Li; Luyu Zhang. Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk. Int. J. Econ. Finance Manag. Sci. 2023, 11(3), 87-92. doi: 10.11648/j.ijefm.20231103.11

Copy | Download

AMA Style

Suxian Li, Luyu Zhang. Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk. Int J Econ Finance Manag Sci. 2023;11(3):87-92. doi: 10.11648/j.ijefm.20231103.11

Copy | Download

@article{10.11648/j.ijefm.20231103.11,
  author = {Suxian Li and Luyu Zhang},
  title = {Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk},
  journal = {International Journal of Economics, Finance and Management Sciences},
  volume = {11},
  number = {3},
  pages = {87-92},
  doi = {10.11648/j.ijefm.20231103.11},
  url = {https://doi.org/10.11648/j.ijefm.20231103.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20231103.11},
  abstract = {Under the background of the digital economy, the world is more closely connected, which also means the magnification of uncertainty and the elevation of the risk level of enterprise characteristics. How to make the enterprise have core competitiveness and reduce the enterprise's characteristic risk as much as possible, both the theoreticians and practitioners need to pay attention to and solve the problem. AI innovation is an important way for manufacturing enterprises to gain competitive advantage in the era of the digital economy. The existing data show that more scholars believe that technological innovation plays an important role in effectively reducing the risk of enterprise characteristics, and have a thorough discussion on it, it is found that not only the individual level of the enterprise factors will have an impact on the idiosyncratic risk, the internal resources of the enterprise will also have an impact on the idiosyncratic risk. As an important resource for enterprises to gain competitive advantage, redundant resources in this framework have attracted much attention from scholars. However, some studies have not revealed the mechanism and lack reliable empirical conclusions. Therefore, from the perspective of redundant resources to explore the impact of the digital economy era to reduce enterprise risk factors and their mechanisms have significant theoretical and practical value.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Research on the Impact of Artificial Intelligence Innovation on Manufacturing Enterprise Idiosyncratic Risk
AU  - Suxian Li
AU  - Luyu Zhang
Y1  - 2023/04/27
PY  - 2023
N1  - https://doi.org/10.11648/j.ijefm.20231103.11
DO  - 10.11648/j.ijefm.20231103.11
T2  - International Journal of Economics, Finance and Management Sciences
JF  - International Journal of Economics, Finance and Management Sciences
JO  - International Journal of Economics, Finance and Management Sciences
SP  - 87
EP  - 92
PB  - Science Publishing Group
SN  - 2326-9561
UR  - https://doi.org/10.11648/j.ijefm.20231103.11
AB  - Under the background of the digital economy, the world is more closely connected, which also means the magnification of uncertainty and the elevation of the risk level of enterprise characteristics. How to make the enterprise have core competitiveness and reduce the enterprise's characteristic risk as much as possible, both the theoreticians and practitioners need to pay attention to and solve the problem. AI innovation is an important way for manufacturing enterprises to gain competitive advantage in the era of the digital economy. The existing data show that more scholars believe that technological innovation plays an important role in effectively reducing the risk of enterprise characteristics, and have a thorough discussion on it, it is found that not only the individual level of the enterprise factors will have an impact on the idiosyncratic risk, the internal resources of the enterprise will also have an impact on the idiosyncratic risk. As an important resource for enterprises to gain competitive advantage, redundant resources in this framework have attracted much attention from scholars. However, some studies have not revealed the mechanism and lack reliable empirical conclusions. Therefore, from the perspective of redundant resources to explore the impact of the digital economy era to reduce enterprise risk factors and their mechanisms have significant theoretical and practical value.
VL  - 11
IS  - 3
ER  -

Copy | Download