Innovation mechanism of AI empowering manufacturing enterprises: case study of an industrial internet platform

Su, Huishuang; Li, Lingxia; Tian, Shuo; Cao, Zhongwei; Ma, Qiang

doi:10.1007/s10799-024-00423-4

Inf Technol Manag

2024

DOI: 10.1007/s10799-024-00423-4

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Innovation mechanism of AI empowering manufacturing enterprises: case study of an industrial internet platform

Huishuang Su,

Lingxia Li,

Shuo Tian

et al.

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2024

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Cited by 3 publications

References 60 publications

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Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda

Heimberger,

Horvat,

Schultmann

2024

Inf Technol Manag

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Our paper analyzes the current state of research on artificial intelligence (AI) adoption from a production perspective. We represent a holistic view on the topic which is necessary to get a first understanding of AI in a production-context and to build a comprehensive view on the different dimensions as well as factors influencing its adoption. We review the scientific literature published between 2010 and May 2024 to analyze the current state of research on AI in production. Following a systematic approach to select relevant studies, our literature review is based on a sample of articles that contribute to production-specific AI adoption. Our results reveal that the topic has been emerging within the last years and that AI adoption research in production is to date still in an early stage. We are able to systematize and explain 35 factors with a significant role for AI adoption in production and classify the results in a framework. Based on the factor analysis, we establish a future research agenda that serves as a basis for future research and addresses open questions. Our paper provides an overview of the current state of the research on the adoption of AI in a production-specific context, which forms a basis for further studies as well as a starting point for a better understanding of the implementation of AI in practice.

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Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda

Heimberger,

Horvat,

Schultmann

2024

Inf Technol Manag

View full text Add to dashboard Cite

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Four-way game analysis of transformation and upgrading of manufacturing enterprises relying on industrial internet platform under developers’ participation

Li,

Cong,

Zhang

et al. 2024

Journal of Asian Architecture and Building Engineering

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Research on the Identification of Key Factors for the Development of Digital Empowerment Platform Enterprises

Xu,

Wang,

Song

et al. 2024

Sustainability

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Purpose: It is difficult for small- and medium-sized enterprises to modify themselves to achieve digital transformation; a digital empowerment platform can help small- and medium-sized enterprises (SMEs) to digitalize. Therefore, it is of great significance to identify the key factors of the development of logarithmic words. Design: This study first uses the ISM method to establish a network of influencing factors, identifies key factors from the perspectives of network structure and enterprise competitive advantage, and finally conducts a comprehensive analysis using a six-quadrant matrix. Findings: Capital, talent, and data collection and analysis technology are key factors driving the development of digital empowerment platforms. Standards, accurate and continuous industry information, and efficient and sustained co-operation with empowered industry enterprises and research institutions are key factors in establishing a sustained competitive advantage. This study proposes two development paths for enterprises and two policy recommendations. Originality: (1) The history of digital empowerment platform enterprises is relatively short, and there are relatively few studies on the influencing factors of its development. (2) By employing mathematical network analysis and competitive advantage analysis methods and comprehensively analyzing key factors, this study innovates the multi-factor evaluation method.

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Innovation mechanism of AI empowering manufacturing enterprises: case study of an industrial internet platform

Cited by 3 publications

References 60 publications

Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda

Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda

Four-way game analysis of transformation and upgrading of manufacturing enterprises relying on industrial internet platform under developers’ participation

Research on the Identification of Key Factors for the Development of Digital Empowerment Platform Enterprises

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