AI-ENABLED KNOWLEDGE AND TASK AUTOMATION: A FRAMEWORK FOR ENHANCING EMPLOYEE ADAPTIVE PERFORMANCE THROUGH ORGANIZATIONALAGILITY IN THE RETAIL INDUSTRY

Abstract

Artificial Intelligence (AI) technologies are being quickly integrated into the retail sector to improve staff flexibility and expedite operations in response to changing market needs. This study examines how work automation and AI-driven information accessibility might enhance employee adaptable performance through organizational agility. The study highlights how AI technologies promote real-time decision-making, eliminate repetitive processes, and empower staff to successfully adapt to changing situations. It is based on the Dynamic Capabilities Theory. Survey information from163 individuals at various hierarchical levels was examined using a structural equation modeling technique. The results show that job automation and AI-driven information accessibility improve organizational agility, which in turn greatly increases worker flexibility. In addition to streamlining processes, AI systems give staff members useful information that encourages innovation and problem-solving skills.The report emphasizes how crucial organizational agility is strategically as a mediator in converting AI efficiency into better worker performance. To stay competitive in a changing industry, retail managers are urged to give AI-driven innovations top priority. Policymakers, business executives, and tech developers may use this research's practical findings to improve worker performance and organizational resilience by utilizing AI technologies.The article offers useful advice for legislators and retail executives, highlighting the necessity of making calculated investments in staff development, AI tools, and agility-driven operational frameworks. Workflows are streamlined by AI technologies, but their effectiveness relies on the organizational flexibility that permits a smooth integration into regular operations.