Acceptance and Continuance of Intelligent Light Bar Use: An Integrated UTAUT3 and Extended ECM

To address efficiency bottlenecks in high-frequency logistics, the intelligent light bar, a typical “task-embedded” interactive technology, provides a context for investigating user behavior in operational technologies. However, understanding users’ continuance intention requires bridging the gap between adoption motivation and usage evaluation. This study constructs a cognitive framework integrating UTAUT3 with an extended expectation-confirmation model. Unlike traditional approaches, it models acceptance intention as a second-order motivational cognition to investigate its structural relationships with evaluative cognition and continuance intention. Based on data from 1,062 practitioners, findings show that: (1) acceptance intention has direct and indirect (via evaluative cognition) effects on continuance intention;(2) perceived ease of use is a pivotal cognitive factor; and (3) perceived risk and switching cost significantly moderate continuance-related paths. These findings offer new empirical insights into user behavior in interactive technologies.