ASSESSING THE RELATIONSHIP BETWEEN AI-ENABLED TASK AUTOMATION AND PROJECT MANAGER PRODUCTIVITY: THE MODERATING ROLE OF TECHNOLOGICAL READINESS

Abstract

This study investigates the relationship between AI-enabled task automation and project manager productivity, with technological readiness as a moderating factor. Conducted in Pakistan, the research targets project managers in mid-to-large organizations across sectors like IT, construction, and finance, where AI tools are increasingly integrated for scheduling, resource allocation, and risk prediction. Using a quantitative research design, data were collected from 212 project managers via a structured questionnaire based on a five-point Likert scale. The results, analyzed through Structural Equation Modeling (SEM) and regression analysis, reveal a significant positive correlation (r = 0.62) between AI task automation and productivity, with technological readiness enhancing this relationship (β = 0.21, p = 0.004). Descriptive statistics indicate high AI adoption and productivity perceptions, though technological readiness varies. The study aligns with the Technology Acceptance Model (TAM) and Resource-Based View (RBV), highlighting technological readiness as a critical resource for maximizing AI benefits. Practical implications suggest organizations prioritize AI tool investments alongside digital literacy training to foster a tech-ready culture. Limitations include the cross-sectional design and self-reported data, suggesting future longitudinal and qualitative research.