When AI Can’t Replace a Worker, It Watches Them Instead
Susan Helper quoted in Wired on the use of AI to enhance worker productivity in manufacturing.
Tag: Susan Helper
Value Migration and Industry 4.0: Theory, Field Evidence, and Propositions
Susan Helper, Raphael Martins, Robert Seamans
This paper offers several predictions about how Industry 4.0 – the coordinated use of robots, sensors, AI, and other digitally-enabled technologies in manufacturing – will affect which firms and occupations capture value in manufacturing. Using in-depth interviews with manufacturers that are part of the automotive value chain, the authors find that value migration within firms likely affects whether and how value migration occurs across firms.
On Trade, a Politically Feisty Trump Risks Economic Damage
Susan Helper quoted in the New York Times, April 30, 2017
Will Trump be the one to take apprenticeships to scale?
Susan Helper
Supply chains and equitable growth
Susan Helper
Invisible Innovation: Supplier Technology Strategy in the Auto Supply Chain
Susan Helper with Jennifer Kuan and Daniel Snow.
What Goes on Under the Hood? How Engineers Innovate in the Automotive Supply Chain
Susan Helper with Jennifer Kuan
Management Practices, Relational Contracts, and the Decline of General Motors
Susan Helper with Rebecca Henderson
General Motors was once regarded as the best-managed and most successful firm in the world. However, between 1980 and 2009, GM’s US market share fell from 46 to 20 percent, and in 2009 the firm went bankrupt. We suggest that GM’s experience may have important implications for our understanding of the role of management in the modern, knowledge-based firm.