Economic and Technological Systems Analysis

Managing how organizations adopt and adapt to new technologies sits at the intersection of engineering, economics, and organizational behavior, drawing on tools ranging from big data analytics and neural networks to cyber-physical systems to understand how innovation actually unfolds in practice. Researchers here examine not just which technologies firms choose, but how implementation reshapes workflows, supply chains, and competitive dynamics—and whether those changes translate into durable gains in quality, efficiency, or sustainability. A persistent open question is how to govern digital transformation in ways that balance speed of adoption against systemic risks, including cybersecurity vulnerabilities and environmental costs embedded in large-scale data infrastructure. Active work is increasingly focused on building frameworks that let organizations measure and steer these tradeoffs rather than simply react to them after the fact.

Works

35,214

Total citations

60,842

Keywords

Digital TransformationInnovation ManagementQuality ManagementInformation TechnologiesCyber-Physical SystemsBig Data