The impact of Human-AI integration on enterprise digital transformation: The mediating role of enterprise technological innovation

The integration of Human-AI systems is swiftly reshaping the digital transformation and technological innovation landscape within Chinese enterprises. This paper investigates the influence of Human-AI integration on the process of enterprise digital transformation, with enterprises technological innovation acting as a mediating factor. Utilizing Confirmatory Factor Analysis (CFA) and Partial Least Squares Structural Equation Modeling (PLS-SEM), the study constructs and validates a research model that demonstrates how collaboration between Human-AI integration accelerates enterprise digital transformation while fostering enterprise technological innovation. Moreover, drawing on electric survey-based data from the Chinese technological firms, we performed covariance-based structural equation modeling to test the conceptual framework model. Following structural questionaries, a total of 262 observations were collected, and the data were analyzed using structural equation modelling. Consequently, through a review of theoretical frameworks and rigorous hypothesis testing, the study creates and verifies a model that demonstrates how collaboration between humans and AI accelerates digital transformation while driving innovation. As a results, the results contribute to existing knowledge by providing actionable insights for managers and professionals looking to navigate the growing role of AI in business digital transformation.

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Publication Details

Journal
Sound&Vibration
Published
2024-11-05
DOI
https://doi.org/10.59400/sv.v59i1.1733
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.35
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article

The impact of Human-AI integration on enterprise digital transformation: The mediating role of enterprise technological innovation

Jun Cui, Qiang Wan, Sangwoo Shin
1 citations
Sound&Vibration
Digital Transformation in Industry
0.35
article

The impact of Human-AI integration on enterprise digital transformation: The mediating role of enterprise technological innovation

Jun Cui, Qiang Wan, Sangwoo Shin
article en
1 citations

Abstract

The integration of Human-AI systems is swiftly reshaping the digital transformation and technological innovation landscape within Chinese enterprises. This paper investigates the influence of Human-AI integration on the process of enterprise digital transformation, with enterprises technological innovation acting as a mediating factor. Utilizing Confirmatory Factor Analysis (CFA) and Partial Least Squares Structural Equation Modeling (PLS-SEM), the study constructs and validates a research model that demonstrates how collaboration between Human-AI integration accelerates enterprise digital transformation while fostering enterprise technological innovation. Moreover, drawing on electric survey-based data from the Chinese technological firms, we performed covariance-based structural equation modeling to test the conceptual framework model. Following structural questionaries, a total of 262 observations were collected, and the data were analyzed using structural equation modelling. Consequently, through a review of theoretical frameworks and rigorous hypothesis testing, the study creates and verifies a model that demonstrates how collaboration between humans and AI accelerates digital transformation while driving innovation. As a results, the results contribute to existing knowledge by providing actionable insights for managers and professionals looking to navigate the growing role of AI in business digital transformation.

Sound&VibrationVol. 59(1)
Hanseo University (KR), Woosong University (KR)
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Digital Transformation in Industry
0.35
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The impact of Human-AI integration on enterprise digital transformation: The mediating role of enterprise technological innovation — Jun Cui, Qiang Wan, et al. · Sound&Vibration (2024) | TGRS Research Map | TGRS