DIAN YU
Innovation Strategist | Industry Researcher | PhD in Tech Policy | Robotics & Product Adoption
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Innovation Strategist with a PhD in Engineering and Public Policy and deep expertise in emerging technology ecosystems, including robotics and drones. Experienced in leading cross-sector collaborations, securing funding, and translating industry pain points into actionable research and product insights. I’m excited to bring my research-driven approach to strategic roles in innovation, consulting, or product development.
Currently, I am a postdoctoral research associate of NEXT Innovation Lab, D’Amore-McKim School of Business at Northeastern University. My research intersects innovation, institutions, and entrepreneurship, focusing on how firms navigate regulatory environments and strategize within emerging technologies such as drones, robots, and intelligent machines. My research provides valuable insights for policymakers on balancing regulation with market support and for managers on aligning product strategies with institutional environments.
For more information, please feel free to contact me at: dia.yu@northeastern.edu
Ongoing Research
Ongoing Research
“Institutions Meet Ecosystem: China’s Market and Institutional Infrastructure in the Commercial Drone Industry.”
How does ecosystem interact with institutional infrastructure to contribute to firm entry and the scaling of an industry?
Abductive Study
revise and resubmit under SMJ
“Institutions Meet S-curve: Product Innovation in the Drone Industry around Precision Agriculture.”
How institutional support influences the kinds of product features that drone firms create and produce?
Preparing for Submission
“When and What to Conform to: Product Framing Strategies in the U.S. Small Drone Market.”
How firms react to regulatory change as they construct and align themselves to product categories?
Text Analysis
Working paper
“Integrating Smart Machines in Conventional Industries: the Case of Construction Industry”
How firms and teams in a conventional industry are organized and making decisions of using technology innovations?
Qualitative study and field experimentation
Data collection
“Academic Invention Disclosure.”
What are the incentives for invention disclosures in deep science labs within universities (when there are no penalties for non-disclosure)?
Data collection
“Policy as a Catalyst: the Role of Local Regulations in Advancing RFID Technology in the Cannabis Sector”
To what extent do policy variations across regions drive innovation in compliance technologies such as RFID?
Ideation
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