SWOT Analysis of AI Empowerment in Leading Enterprises Driving Industry Innovation

Under the backdrop of rapid advancements in artificial intelligence (AI), the role of leading enterprises is shifting from a traditional resource-driven approach to a technology-driven and ecosystem-oriented model. Through AI empowerment, these enterprises not only enhance their core competitiveness but also foster innovation and upgrading across the entire industry through technology diffusion and value collaboration. However, in driving industry innovation, leading enterprises face multiple challenges in both internal technology management and external ecosystem collaboration. This study uses SWOT analysis as its core framework to systematically evaluate the impact of AI empowerment on leading industry innovation from four perspectives: Strengths, Weaknesses, Opportunities, and Threats. The findings reveal that AI technology plays a critical role in advancing industry standard-setting, optimizing resource allocation, and enhancing the efficiency of technology diffusion across industries, but it also faces challenges such as ethical issues in technology, international competition, and regulatory uncertainty. Based on the results of the SWOT analysis, this paper proposes an integration strategy to maintain a long-term leadership position in the industry. This research not only enriches the theoretical framework for AI's role in enabling leading enterprises to drive industry innovation but also offers practical insights for leading enterprises and decision-makers.

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Publication Details

Journal
Economic society and humanities.
Published
2024-10-01
DOI
https://doi.org/10.62381/e244a20
Primary Topic
Collaboration in agile enterprises
Type
article
Field-Weighted Citation Impact
0.00
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article

SWOT Analysis of AI Empowerment in Leading Enterprises Driving Industry Innovation

Yongbo Tan, Yongsheng Xu, Qiongqiong Wei, Lei Zhou et al.
Economic society and humanities.
Collaboration in agile enterprises
article

SWOT Analysis of AI Empowerment in Leading Enterprises Driving Industry Innovation

Yongbo Tan, Yongsheng Xu, Qiongqiong Wei, Lei Zhou, Yang Wang
article en

Abstract

Under the backdrop of rapid advancements in artificial intelligence (AI), the role of leading enterprises is shifting from a traditional resource-driven approach to a technology-driven and ecosystem-oriented model. Through AI empowerment, these enterprises not only enhance their core competitiveness but also foster innovation and upgrading across the entire industry through technology diffusion and value collaboration. However, in driving industry innovation, leading enterprises face multiple challenges in both internal technology management and external ecosystem collaboration. This study uses SWOT analysis as its core framework to systematically evaluate the impact of AI empowerment on leading industry innovation from four perspectives: Strengths, Weaknesses, Opportunities, and Threats. The findings reveal that AI technology plays a critical role in advancing industry standard-setting, optimizing resource allocation, and enhancing the efficiency of technology diffusion across industries, but it also faces challenges such as ethical issues in technology, international competition, and regulatory uncertainty. Based on the results of the SWOT analysis, this paper proposes an integration strategy to maintain a long-term leadership position in the industry. This research not only enriches the theoretical framework for AI's role in enabling leading enterprises to drive industry innovation but also offers practical insights for leading enterprises and decision-makers.

Economic society and humanities.Vol. 1(10)
Qingdao University of Science and Technology (CN)
Openalex Percentile: Top 54%
Collaboration in agile enterprises
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