<![CDATA[Background: Digital transformation in logistics procurement depends strongly on employee readiness, particularly in organizations that are gradually introducing E-Procurement and the E-Vendor Management System (E-VMS) to replace manual procedures. Procurement activities involving vendors, internal units, and strategic partners require integrated digital support; however, evidence regarding employees’ preparedness for this transition and its consequences for Supply Chain Visibility (SCV) remains limited. Objective: This study examines employee readiness for digital transformation using the Unified Theory of Acceptance and Use of Technology (UTAUT) and evaluates its relationship with Supply Chain Visibility (SCV). Methods: An explanatory quantitative design was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4. All 84 employees in the population were included through saturated sampling (census). Ten hypotheses were tested across Performance Expectancy (PE), Effort Expectancy (EE), Behavioral Intention (BI), Use Behavior (UB), and Supply Chain Visibility (SCV). Results: PE and EE positively affected BI, while PE and BI positively affected UB. UB was the strongest determinant of SCV. EE did not directly affect UB, and BI had no direct effect on SCV. BI fully mediated the effect of EE on UB, whereas UB mediated the effect of BI on SCV. Seven of the ten hypotheses were accepted, while three were rejected. Conclusion: Employee readiness was relatively favorable, but Supply Chain Visibility depended on actual system use rather than intention alone. Organizations should therefore ensure that employees’ usage intentions are translated into consistent use behavior so that digital transformation in logistics procurement can generate optimal benefits.]]>
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