The impact of Human-AI integration on enterprise digital transformation: The mediating role of enterprise technological innovation
Year: 2024
Type: article
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.
Source: Sound&Vibration
Authors: Jun Cui, Qiang Wan, Sangwoo Shin
Institutions: Woosong University, Hanseo University
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4404832855