Research on the Application Maturity of Enterprises’ Artificial Intelligence Technology Based on the Fuzzy Evaluation Method and Analytic Network Process

The aim of this study was to study the impact of artificial intelligence (AI) on enterprises in terms of strategy, technology, business operations, and organizational management. This study used grounded theory analysis to identify the influencing factors of AI technology application maturity in Chinese enterprises. Taking Chinese film and television enterprises as an example, this study constructed an AI technology application maturity evaluation index system for enterprises based on the analytic network process (ANP) and evaluated the application maturity of AI technology in enterprises in terms of enterprise strategy, technology, business operations, and organizational management. To comprehensively evaluate and empirically analyze the application maturity of enterprise AI technology, this study calculated the index weight based on the ANP, and combined it with the fuzzy comprehensive evaluation method to construct a comprehensive evaluation model. The research results showed that intelligence strategy was the element that was believed to be most affected by the maturity of enterprise AI technology. For technology, intelligence technology and equipment were the elements that were believed to be affected the most. For business operations, smart shooting was the element that was believed to be affected the most. With respect to organizational management, corporate culture was the element that was believed to be most affected. The results showed that the proposed methods for evaluating the application maturity of enterprise AI technology are scientific and effective. The results of this study provide a reference for promoting the application of AI, implementing the intelligence transformation, and enhancing the core competitiveness of enterprises.

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Institutions

Publication Details

Journal
Applied Sciences
Published
2024-09-03
DOI
https://doi.org/10.3390/app14177804
Citations
6
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
2.09

Funders

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article

Research on the Application Maturity of Enterprises’ Artificial Intelligence Technology Based on the Fuzzy Evaluation Method and Analytic Network Process

Yutong Liu, Peiyi Song
6 citations
Applied Sciences
Digital Transformation in Industry
2.09
article

Research on the Application Maturity of Enterprises’ Artificial Intelligence Technology Based on the Fuzzy Evaluation Method and Analytic Network Process

Yutong Liu, Peiyi Song
article en
6 citations

Abstract

The aim of this study was to study the impact of artificial intelligence (AI) on enterprises in terms of strategy, technology, business operations, and organizational management. This study used grounded theory analysis to identify the influencing factors of AI technology application maturity in Chinese enterprises. Taking Chinese film and television enterprises as an example, this study constructed an AI technology application maturity evaluation index system for enterprises based on the analytic network process (ANP) and evaluated the application maturity of AI technology in enterprises in terms of enterprise strategy, technology, business operations, and organizational management. To comprehensively evaluate and empirically analyze the application maturity of enterprise AI technology, this study calculated the index weight based on the ANP, and combined it with the fuzzy comprehensive evaluation method to construct a comprehensive evaluation model. The research results showed that intelligence strategy was the element that was believed to be most affected by the maturity of enterprise AI technology. For technology, intelligence technology and equipment were the elements that were believed to be affected the most. For business operations, smart shooting was the element that was believed to be affected the most. With respect to organizational management, corporate culture was the element that was believed to be most affected. The results showed that the proposed methods for evaluating the application maturity of enterprise AI technology are scientific and effective. The results of this study provide a reference for promoting the application of AI, implementing the intelligence transformation, and enhancing the core competitiveness of enterprises.

Applied SciencesVol. 14(17)
Communication University of China (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Digital Transformation in Industry
2.09
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