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For Entrepreneurs, Blown Deadlines Can Crush Big Ideas

After a successful launch, entrepreneurs struggle to anticipate the complexities of product upgrades, says research by Andy Wu and Aticus Peterson. They offer three tips to help startups avoid disastrous delays. Open for comment; 0 Comments.

The Effects of Hierarchy on Learning and Performance in Business Experimentation

Do senior managers help or hurt business experiments? Analyzing a dataset of more than 6,300 experiments on the A/B/n testing platform Optimizely, this study suggests that involving senior executives in experimentation teams can have surprising consequences.

How Entrepreneurs Can Find the Right Problem to Solve

Identifying a customer's pain points is the first step for entrepreneurs in developing a new product. Julia Austin offers tips for choosing the right "job to be done." Open for comment; 0 Comments.

Crowdsourcing Is Helping Hollywood Reduce the Risk of Movie-Making

Hollywood insiders have created "The Black List," which helps surface good but often overlooked scripts. Does the wisdom of the crowd work at the box office? Research by Hong Luo. Open for comment; 0 Comments.

Find and Replace: R&D Investment Following the Erosion of Existing Products

This study sheds light on how product outcomes shape the direction of innovation and markets for technology. In the drug development industry in particular, negative product shocks appear to spur investment changes both within the directly affected firm and in competing firms in the same R&D markets.

When a Competitor Abandons the Market, Should You Advance or Retreat?

Companies pay close attention when a competitor drops out of the market, according to new research by Joshua Lev Krieger. Too often, though, they come to the wrong conclusion. Open for comment; 0 Comments.

Trials and Terminations: Learning from Competitors' R&D Failures

When companies terminate R&D projects, it has ripple effects on the project selection decisions of rival firms and the broader competitive environment. Examining firm responses to others’ failures, this paper introduces a new model of R&D investment decisions, and empirically investigates when knowledge generated by rivals directly enters specific project investment decisions.