A perception-based investigation on logistics robot adoption: from an integrated perspective of trust formation and technology acceptance

Purpose: This paper aims to investigate logistics operators’ acceptance of robots by adopting an integrated perspective of trust and technology acceptance. Design/methodology/approach: A survey instrument was developed for data collection, targeting employees from Vietnam’s manufacturing or logistics sectors. A total of 401 valid responses were collected; the data were analysed using structural equation modelling. Findings: Dispositional and situational trust positively influenced perceived usefulness and ease of use. Furthermore, dispositional and situational trust, perceived ease of use, and perceived usefulness collectively influenced trust in logistics robots. In addition, we found that trust in logistics robots positively affected operators’ acceptance intentions. Thus, the integrated perspectives of trust and technology acceptance were supported. Research limitations/implications: By focusing on the interaction between operators and logistics robots, this paper’s findings extend the technology acceptance model (TAM) and enrich the theory of trust. Practical implications: The study has significant implications for factories integrating logistics robots into production processes by elucidating the relationship between operators and logistics robots. Originality/value: Previous research has repeatedly identified trust considerations as a critical factor influencing individuals’ automated technology usage. However, the micro-level trust formation process has received limited attention. This study explains the relationship between perspectives on trust and technology acceptance.