Elvira Nica

Bucharest University of Economic Studies

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Total Citations

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About

Elvira Nica is a leading scholar at the intersection of labor economics, technological disruption, and sustainable smart manufacturing. Her research critically examines how automation and Industry 4.0 technologies reshape the workforce, with a particular focus on the growing capital-labor income imbalances driven by workplace automation. In her highly cited 2016 paper, "Will Technological Unemployment and Workplace Automation Generate Greater Capital–Labor Income Imbalances?" (16 citations), Nica provides a foundational analysis of how technological change alters occupational structures and wage dynamics, arguing that automation both displaces and transforms labor demand in complex ways. More recently, Nica has extended her work into the realm of digital twin-driven smart manufacturing, exploring how artificial intelligence, machine learning algorithms, and Internet of Things sensing networks can create sustainable production systems. Her 2021 study on "Sustainable Industry 4.0 Wireless Networks" (5 citations) synthesizes cutting-edge evidence on how real-time production logistics and industrial big data can optimize manufacturing while addressing environmental concerns. Nica’s interdisciplinary approach bridges labor economics with engineering and data science, making her work essential reading for researchers and students grappling with the socioeconomic implications of the Fourth Industrial Revolution.