Shenao Wu

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About

Dr. Shenao Wu is a rising scholar at the forefront of construction technology adoption, whose work bridges behavioral science and robotics in the built environment. His primary research focuses on understanding stakeholder acceptance of emerging technologies, particularly construction robots, within the architecture, engineering, and construction (AEC) sector. In his most cited work, "Understanding stakeholders’ intention to use construction robots: a fuzzy-set qualitative comparative analysis" (2024, 9 citations), Dr. Wu pioneers a novel approach by moving beyond traditional linear models to explore the complex causal pathways that drive user acceptance. This study, which has quickly garnered attention for its methodological rigor, fills a critical gap by addressing the unique challenges of construction-specific robotics—a domain previously overshadowed by research on domestic and industrial robots. By employing fuzzy-set qualitative comparative analysis (fsQCA), Dr. Wu reveals how combinations of factors, rather than single variables, shape adoption intentions, offering actionable insights for industry practitioners and policymakers. His work is already shaping how the AEC sector approaches technological integration, positioning him as a key voice in the future of construction automation and human-robot collaboration.