Quantitative analysis reveals organizational support and strategic alignment enhance perceived productivity in AI contexts, suggesting practical change management approaches.
The integration of Artificial Intelligence (AI) into the workplace has led to significant changes in organizational workflows and employee experiences. This study investigates the role of organizational support, employee autonomy, and strategic alignment in shaping perceived productivity gains from AI implementation. Drawing from established theoretical frameworks such as the Technology Acceptance Model and Organizational Support Theory, the paper proposes and tests five hypotheses using quantitative data from a cross-sectional survey (N = 233). Regression analyses and interaction tests were conducted to examine the relationships between support, autonomy, strategic AI alignment, and productivity. Additionally, the moderating effects of age and the interaction between support and autonomy were analyzed. The results highlight that both perceived organizational support and strategic alignment are positively associated with perceived productivity gains, while autonomy shows a weaker direct effect. The interaction term between support and autonomy was significant, suggesting that high autonomy reinforces the benefits of organizational support. Interestingly, age was found to moderate the effect of autonomy, indicating that older employees benefit less from autonomy alone in the context of AI adoption. These findings contribute to a more nuanced understanding of AI readiness in organizations and underline the importance of both structural and individual-level factors. The study provides practical implications for AI-related change management, with a focus on inclusive strategies across diverse employee groups.
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