Human–AI collaboration in HRM and employee-centric outcomes: Evidence from E-supply chain management

Background Integration AI into an electronic supply chain (E-SCM) transforms human resources management in developing economies such as Jordan. Digital public procurement systems (DPS), AI-focused tools, and logistics platforms transform employees’ experience and organizational performance. Objective This study examines the impact of E-SCM-DPS components, inventory and management of workflows controlled by AI-DIWM and logistics and communication platforms (LCP).As focused on employees (ECO) and satisfaction with work) (EJS) that emphasize the role of human cooperation (HAIC). Methods Quantitative studies have collected data from 254 employees in Jordan’s industrial companies. The modeling of the structural equation (SEM) and the analysis of the confirmation factor (CFA) were performed using SPSS and AMOS to test hypotheses relationships and ensure the validity of measurement and reliability. Results DPS, AI-DIWM and LCP positively affect ECO, with HAIC significantly alleviating these relationships, increasing involvement and autonomy. The ECO fully mediates the connection between E-SCM and EJS components and emphasizes its role in improving work satisfaction. Conclusion E-SCM reconciliation with HR strategies supports strengthening the position of workforce. Structured training, user-friendly systems and intentional HAIC design create confidence and shared responsibility and offer managers available to integrate technology with human practices.