Topic: Technology
Technology Alone Won’t Decide the Future of Remote Work
Social and institutional forces ultimately enable — or stifle — change
How Established Firms Get Disrupted by Allies
Suppliers, distributers, product extenders go from helper to competitor
It’s a Startup — and Almost Certainly a Future Acquisition by a Tech Giant
Patent histories show entrepreneurs focused on exit strategy
Robotaxis Aren’t Sure Route to Ride-Hailing Profits
A model weighs vehicle cost and ownership to assess benefits to riders, drivers and companies
Embryo Selection, Polygenic Scoring and Unrealistic Expectations
False hope for instilling disease resistance and desirable traits?
Fixing a Food Bank’s Pandemic Logistics Problem
Enormous growth and a redrawn supply chain required a new system
A Survival Plan for the Developing World’s Tiny Retailers
Technology and mobile finance needed as nanostores’ compete against online behemoths
A Proposal to Improve Surge Pricing
Reduce fares in adjacent areas to draw more drivers to where demand is high
In COVID-19, Should the Logistics Tail Have Wagged the Vaccine Dog?
Balancing vaccine efficacy against need to quickly inoculate more people
Silicon Valley Syndrome: Measuring How Nontech Firms and Workers Suffer
VC money for tech pushes up costs for everyone else
Like Checking the Weather: Air-Quality App Charts Local Pollution
Information helps users decide when, and whether, to venture outside or exercise
Could Tech Giants Be Making Our Economy Less Innovative?
With a business model built on fewer employees, their dominance saps dynamism.
Solar Calculators Are Precise, But Data Don’t Always Persuade
A separate motivator: friends living in areas abundant in solar panels
Puncturing the Small-Investors-are-Bad-Investors Narrative
Individuals using the Robinhood trading app appear to beat the market
Amid Technology Boom, Where Are Productivity Gains?
19th-century French cotton mills suggest halting, uneven progress
How Brands Can Anticipate Unauthorized Subcontracting of Apparel Manufacturing
A model predicts with 80% accuracy which orders get handed off