From Automation to Innovation: How Ai-powered Processes Reshape Organizational Operations
Year: 2025
Type: article
Abstract: Artificial intelligence is reshaping organizational operations worldwide, but fragile states like Iraq show uneven progress. This study assessed Iraq from 2020 to 2024 to examine how AI-powered processes influenced efficiency, workflow redesign, decision speed, and innovation outputs. A descriptive and explanatory research design using 105 secondary data cases was applied, with correlation and regression methods validating outcomes. Findings show automation adoption rose from 18 to 45 percent of firms, analytics engines from 10 to 37 percent, and workflow platforms from 12 to 41 percent. Efficiency improved with task times cut by 22 percent, workflow redesign reached 35 percent, decision speed increased by 21 percent, and innovation outputs grew to 22 percent of firms. Correlation results revealed strong links with infrastructure (0.81), skills capacity (0.75), and strategy support (0.70), while contextual instability hindered outcomes (-0.57). Regression confirmed infrastructure as the strongest predictor (β = 0.43), followed by skills capacity (β = 0.31) and strategy (β = 0.25), with instability reducing gains (β = -0.19). The results imply that inclusive investment in infrastructure, capacity development, and governance, alongside resilience planning, is vital for sustained innovation. Recommendations call for scaling adoption to SMEs, expanding rural broadband, enforcing digital governance, and deepening training pipelines to build long-term competitiveness.
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7082361840
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