AI Empowerment and Measurement: Reconstructing the Enterprise Digital Maturity Model and its Implications for Service Ecosystem

In the current context of artificial intelligence driving economic digital transformation, enterprise digital maturity has become a critical foundation for creating shared value and enhancing competitiveness within service ecosystems. Existing maturity models often fail to adequately reflect the fundamental changes brought about by AI technology, necessitating that enterprises continuously adjust their business strategies to align with the requirements of service ecosystem development and value co-creation. Digital maturity measures a company's capabilities in integrating digital technologies, data-driven decision-making, and process optimization, significantly enhancing operational efficiency and market responsiveness while connecting consumers, partners, and the entire ecosystem network. This study constructs an AI-enabled digital maturity model encompassing three dimensions: people enhancement, product-driven innovation, and marketing empowerment. It focuses on analyzing the underlying mechanisms through which value co-creation drives a company's competitive advantage. This direction will approach the topic from a theoretical perspective, focusing on how AI technology reshapes the connotations and measurement standards of AI-driven digital maturity: AI-Enhanced People capability, AI-Driven Product Innovation,and AI-Enabled Marketing Empowerment: AI-Enhanced People capability focuses on leveraging AI technologies such as user profiling, behavioral modelling, and social vitality to achieve deep user insights, ecosystem construction, and intelligent interaction capabilities, while emphasizing the use of privacy computing technologies like federated learning to establish a balance between data development and privacy protection; AI-Driven Product Power emphasizes the intelligence of products and adaptive service capabilities enabled by embedded AI functionalities; AI-Enabled Marketing Empowerment focuses on the effectiveness of ultra-personalised customer insights, precise targeting, and automated interaction based on AI algorithms, and how to upgrade 'AI-Enabled Marketing Empowerment' from traditional broad coverage to 'precise targeting and value prediction capabilities' centred on data intelligence.

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Publication Details

Journal
Frontiers in Sustainable Development
Published
2025-09-24
DOI
https://doi.org/10.54691/tt5b9s51
Primary Topic
Service and Product Innovation
Type
article
Field-Weighted Citation Impact
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article

AI Empowerment and Measurement: Reconstructing the Enterprise Digital Maturity Model and its Implications for Service Ecosystem

Shuqing Zhou
Frontiers in Sustainable Development
Service and Product Innovation
article

AI Empowerment and Measurement: Reconstructing the Enterprise Digital Maturity Model and its Implications for Service Ecosystem

Shuqing Zhou
article en

Abstract

In the current context of artificial intelligence driving economic digital transformation, enterprise digital maturity has become a critical foundation for creating shared value and enhancing competitiveness within service ecosystems. Existing maturity models often fail to adequately reflect the fundamental changes brought about by AI technology, necessitating that enterprises continuously adjust their business strategies to align with the requirements of service ecosystem development and value co-creation. Digital maturity measures a company's capabilities in integrating digital technologies, data-driven decision-making, and process optimization, significantly enhancing operational efficiency and market responsiveness while connecting consumers, partners, and the entire ecosystem network. This study constructs an AI-enabled digital maturity model encompassing three dimensions: people enhancement, product-driven innovation, and marketing empowerment. It focuses on analyzing the underlying mechanisms through which value co-creation drives a company's competitive advantage. This direction will approach the topic from a theoretical perspective, focusing on how AI technology reshapes the connotations and measurement standards of AI-driven digital maturity: AI-Enhanced People capability, AI-Driven Product Innovation,and AI-Enabled Marketing Empowerment: AI-Enhanced People capability focuses on leveraging AI technologies such as user profiling, behavioral modelling, and social vitality to achieve deep user insights, ecosystem construction, and intelligent interaction capabilities, while emphasizing the use of privacy computing technologies like federated learning to establish a balance between data development and privacy protection; AI-Driven Product Power emphasizes the intelligence of products and adaptive service capabilities enabled by embedded AI functionalities; AI-Enabled Marketing Empowerment focuses on the effectiveness of ultra-personalised customer insights, precise targeting, and automated interaction based on AI algorithms, and how to upgrade 'AI-Enabled Marketing Empowerment' from traditional broad coverage to 'precise targeting and value prediction capabilities' centred on data intelligence.

Frontiers in Sustainable DevelopmentVol. 5(9)
Macau University of Science and Technology (MO)
Openalex Percentile: Top 66%
Service and Product Innovation
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