Human-AI integration and sound-vibration technology-driven enterprise digital transformation: The mediating role of technological innovation
Year: 2025
Type: article
Abstract: The synergistic application of human-AI integration and sound-vibration technology is profoundly reshaping the digital transformation landscape and technological innovation in Chinese enterprises. In this research, with technological innovation as the mediating variable, how human-AI integration and sound-vibration technology jointly optimize enterprise digital transformation was investigated. A human-AI collaborative model incorporating sound-vibration technology is constructed and validated using confirmatory factor analysis (CFA) and partial least squares structural equation modeling (PLS-SEM), revealing its dual role in accelerating digital transformation and driving technological innovation. Data from the power sector of Chinese technology enterprises is analyzed, with 262 observations collected via a structured questionnaire and examined using structural equation modeling. The findings demonstrate that human-AI integration significantly enhances organizational capabilities through complex data processing, sound-vibration signal analysis, and decision optimization, while the application of sound-vibration technology further improves the efficiency of equipment monitoring and predictive maintenance, thereby supporting digital transformation. Technological innovation plays a critical mediating role, with its contributions to operational efficiency and emerging business models empirically validated. The research not only enriches the theoretical framework of human-AI integration and sound-vibration technology in digital transformation but also provides actionable strategic recommendations for enterprises and decision-makers to achieve continuous innovation and competitive advantages in the era of intelligent and digital transformation.
Source: Sound&Vibration
DOI: 10.59400/sv1733
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: W4407815558