Abstract

Purpose: This study aims to explore “Factors affecting the intention to use Blockchain technology integrated with artificial intelligence (AI) in warehouse management and monitoring”. Research design, data, and methodology: The research model is built on the combination of the unified theory of acceptance and use of technology, the theory of planned behavior, and the theory of technological innovation. By employing a mixed-methods approach comprising expert interviews and a quantitative survey of 303 individuals working in the logistics sector; the data were processed using SPSS 27.0 and AMOS 20.0 through several steps: reliability testing, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). Results: The results reveal that four factors: performance expectancy (HS), facilitating conditions (DK), social influence (AH), and technology readiness (SS) positively affect perceived usefulness (NT). Meanwhile, effort expectancy (NL) and facilitating conditions (DK) have a direct impact on the intention to use technology (YD). Notably, perceived usefulness (NT) plays an important mediating role and strongly influences the intention to use Blockchain technology combined with AI. These findings confirm the suitability of the TAM model in explaining the behavior of using Blockchain technology combined with AI. Conclusions: The study provides managerial implications for logistics business leaders in the development and deployment of technology. These results contribute to guiding technological development and management innovation in the logistics sector in Vietnam.