Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation

Can Tian; Jiangang Wu; Yu Xiao

doi:doi:10.11648/j.ijber.20231201.16

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Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation

Can Tian, Jiangang Wu, Yu Xiao

Published in International Journal of Business and Economics Research (Volume 12, Issue 1)

Received: 13 January 2023 Accepted: 4 February 2023 Published: 14 February 2023

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Abstract

As the core technology to lead the digital future and promote the industrial revolution, artificial intelligence (AI) technology can empower the whole chain of manufacturing enterprises, accelerate the fundamental transformation of production mode and enterprise form, guide enterprises to integrate artificial intelligence with green innovative technology, and improve energy efficiency. Based on the background of green transformation faced by the manufacturing industry, we discuss the mechanism of artificial intelligence to realize green innovation of enterprises through dynamic capabilities. AI orientation refers to the tendency and strategy of enterprises in introducing and applying AI technology. Based on the strategic management theory and the resource-based view, a questionnaire survey for manufacturing enterprises was conducted. Using regression analysis method to conduct empirical research on 204 valid questionnaire data, to test the hypothesis. The result shows that AI has a significant positive effect on the green innovation of enterprises. Both strategic sensing capacity and timely decision-making capacity positively affect the green innovation of enterprises. Strategic sensing capacity and timely decision-making capacity play a partial mediating role between AI and green innovation. AI gives the light to enterprise development to clarify the direction of progress of the production technology. Enterprises need to establish AI-orientated strategies in many aspects to realize green innovation and improve environmental performance.

Published in	International Journal of Business and Economics Research (Volume 12, Issue 1)
DOI	10.11648/j.ijber.20231201.16
Page(s)	40-45
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 Orientation, Strategic Sensing Capacity, Timely Decision-Making Capacity, Green Innovation

References

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APA Style

Can Tian, Jiangang Wu, Yu Xiao. (2023). Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation. International Journal of Business and Economics Research, 12(1), 40-45. https://doi.org/10.11648/j.ijber.20231201.16

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ACS Style

Can Tian; Jiangang Wu; Yu Xiao. Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation. Int. J. Bus. Econ. Res. 2023, 12(1), 40-45. doi: 10.11648/j.ijber.20231201.16

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AMA Style

Can Tian, Jiangang Wu, Yu Xiao. Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation. Int J Bus Econ Res. 2023;12(1):40-45. doi: 10.11648/j.ijber.20231201.16

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@article{10.11648/j.ijber.20231201.16,
  author = {Can Tian and Jiangang Wu and Yu Xiao},
  title = {Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation},
  journal = {International Journal of Business and Economics Research},
  volume = {12},
  number = {1},
  pages = {40-45},
  doi = {10.11648/j.ijber.20231201.16},
  url = {https://doi.org/10.11648/j.ijber.20231201.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20231201.16},
  abstract = {As the core technology to lead the digital future and promote the industrial revolution, artificial intelligence (AI) technology can empower the whole chain of manufacturing enterprises, accelerate the fundamental transformation of production mode and enterprise form, guide enterprises to integrate artificial intelligence with green innovative technology, and improve energy efficiency. Based on the background of green transformation faced by the manufacturing industry, we discuss the mechanism of artificial intelligence to realize green innovation of enterprises through dynamic capabilities. AI orientation refers to the tendency and strategy of enterprises in introducing and applying AI technology. Based on the strategic management theory and the resource-based view, a questionnaire survey for manufacturing enterprises was conducted. Using regression analysis method to conduct empirical research on 204 valid questionnaire data, to test the hypothesis. The result shows that AI has a significant positive effect on the green innovation of enterprises. Both strategic sensing capacity and timely decision-making capacity positively affect the green innovation of enterprises. Strategic sensing capacity and timely decision-making capacity play a partial mediating role between AI and green innovation. AI gives the light to enterprise development to clarify the direction of progress of the production technology. Enterprises need to establish AI-orientated strategies in many aspects to realize green innovation and improve environmental performance.},
 year = {2023}
}

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TY  - JOUR
T1  - Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation
AU  - Can Tian
AU  - Jiangang Wu
AU  - Yu Xiao
Y1  - 2023/02/14
PY  - 2023
N1  - https://doi.org/10.11648/j.ijber.20231201.16
DO  - 10.11648/j.ijber.20231201.16
T2  - International Journal of Business and Economics Research
JF  - International Journal of Business and Economics Research
JO  - International Journal of Business and Economics Research
SP  - 40
EP  - 45
PB  - Science Publishing Group
SN  - 2328-756X
UR  - https://doi.org/10.11648/j.ijber.20231201.16
AB  - As the core technology to lead the digital future and promote the industrial revolution, artificial intelligence (AI) technology can empower the whole chain of manufacturing enterprises, accelerate the fundamental transformation of production mode and enterprise form, guide enterprises to integrate artificial intelligence with green innovative technology, and improve energy efficiency. Based on the background of green transformation faced by the manufacturing industry, we discuss the mechanism of artificial intelligence to realize green innovation of enterprises through dynamic capabilities. AI orientation refers to the tendency and strategy of enterprises in introducing and applying AI technology. Based on the strategic management theory and the resource-based view, a questionnaire survey for manufacturing enterprises was conducted. Using regression analysis method to conduct empirical research on 204 valid questionnaire data, to test the hypothesis. The result shows that AI has a significant positive effect on the green innovation of enterprises. Both strategic sensing capacity and timely decision-making capacity positively affect the green innovation of enterprises. Strategic sensing capacity and timely decision-making capacity play a partial mediating role between AI and green innovation. AI gives the light to enterprise development to clarify the direction of progress of the production technology. Enterprises need to establish AI-orientated strategies in many aspects to realize green innovation and improve environmental performance.
VL  - 12
IS  - 1
ER  -

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Author Information

Can Tian

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

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

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

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Plain Text BibTeX RIS

APA Style

Can Tian, Jiangang Wu, Yu Xiao. (2023). Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation. International Journal of Business and Economics Research, 12(1), 40-45. https://doi.org/10.11648/j.ijber.20231201.16

Copy | Download

ACS Style

Can Tian; Jiangang Wu; Yu Xiao. Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation. Int. J. Bus. Econ. Res. 2023, 12(1), 40-45. doi: 10.11648/j.ijber.20231201.16

Copy | Download

AMA Style

Can Tian, Jiangang Wu, Yu Xiao. Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation. Int J Bus Econ Res. 2023;12(1):40-45. doi: 10.11648/j.ijber.20231201.16

Copy | Download

@article{10.11648/j.ijber.20231201.16,
  author = {Can Tian and Jiangang Wu and Yu Xiao},
  title = {Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation},
  journal = {International Journal of Business and Economics Research},
  volume = {12},
  number = {1},
  pages = {40-45},
  doi = {10.11648/j.ijber.20231201.16},
  url = {https://doi.org/10.11648/j.ijber.20231201.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20231201.16},
  abstract = {As the core technology to lead the digital future and promote the industrial revolution, artificial intelligence (AI) technology can empower the whole chain of manufacturing enterprises, accelerate the fundamental transformation of production mode and enterprise form, guide enterprises to integrate artificial intelligence with green innovative technology, and improve energy efficiency. Based on the background of green transformation faced by the manufacturing industry, we discuss the mechanism of artificial intelligence to realize green innovation of enterprises through dynamic capabilities. AI orientation refers to the tendency and strategy of enterprises in introducing and applying AI technology. Based on the strategic management theory and the resource-based view, a questionnaire survey for manufacturing enterprises was conducted. Using regression analysis method to conduct empirical research on 204 valid questionnaire data, to test the hypothesis. The result shows that AI has a significant positive effect on the green innovation of enterprises. Both strategic sensing capacity and timely decision-making capacity positively affect the green innovation of enterprises. Strategic sensing capacity and timely decision-making capacity play a partial mediating role between AI and green innovation. AI gives the light to enterprise development to clarify the direction of progress of the production technology. Enterprises need to establish AI-orientated strategies in many aspects to realize green innovation and improve environmental performance.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Research on Impact of Artificial Intelligence Orientation on Enterprise Green Innovation
AU  - Can Tian
AU  - Jiangang Wu
AU  - Yu Xiao
Y1  - 2023/02/14
PY  - 2023
N1  - https://doi.org/10.11648/j.ijber.20231201.16
DO  - 10.11648/j.ijber.20231201.16
T2  - International Journal of Business and Economics Research
JF  - International Journal of Business and Economics Research
JO  - International Journal of Business and Economics Research
SP  - 40
EP  - 45
PB  - Science Publishing Group
SN  - 2328-756X
UR  - https://doi.org/10.11648/j.ijber.20231201.16
AB  - As the core technology to lead the digital future and promote the industrial revolution, artificial intelligence (AI) technology can empower the whole chain of manufacturing enterprises, accelerate the fundamental transformation of production mode and enterprise form, guide enterprises to integrate artificial intelligence with green innovative technology, and improve energy efficiency. Based on the background of green transformation faced by the manufacturing industry, we discuss the mechanism of artificial intelligence to realize green innovation of enterprises through dynamic capabilities. AI orientation refers to the tendency and strategy of enterprises in introducing and applying AI technology. Based on the strategic management theory and the resource-based view, a questionnaire survey for manufacturing enterprises was conducted. Using regression analysis method to conduct empirical research on 204 valid questionnaire data, to test the hypothesis. The result shows that AI has a significant positive effect on the green innovation of enterprises. Both strategic sensing capacity and timely decision-making capacity positively affect the green innovation of enterprises. Strategic sensing capacity and timely decision-making capacity play a partial mediating role between AI and green innovation. AI gives the light to enterprise development to clarify the direction of progress of the production technology. Enterprises need to establish AI-orientated strategies in many aspects to realize green innovation and improve environmental performance.
VL  - 12
IS  - 1
ER  -

Copy | Download