- How to Stop Short-Term Thinking at America’s Companies
Data bears this out. The average holding time for stocks has fallen from eight years in 1960 to eight months in 2016. Almost 80 percent of chief financial officers at 400 of America’s largest public companies say they would sacrifice a firm’s economic value to meet the quarter’s earnings expectations. And companies are spending more and more on purchasing their own shares to drive stock prices up, rather than investing in equipment or employees.
https://www.theatlantic.com/business/archive/2016/12/short-term-thinking/511874/?utm_source=feed
- How to fix agile teams that are notoriously bad at hitting release dates
Another strategy to tackle estimation uncertainty is simply to get more estimates. Instead of relying on the judgment of one developer, all team members are asked to hazard a guess, ideally simultaneously to avoid biases (often done through “planning poker”) and use that as a basis for further deliberations. However, no matter how large the group is, this approach still relies on intuitive prediction and is prone to biases such as groupthink.
- How to Drive Your Enemies Crazy
- Why you should ditch your dress code
Whether or not a dress code (or a uniform) impacts productivity in the workplace is an ongoing argument that doesn’t seem likely to resolve any time soon. What I think all of this comes down to is allowing your workforce to decide for themselves how they’re most comfortable and what will allow them to do their best work.
http://www.cio.com/article/3154989/leadership-management/why-you-should-ditch-your-dress-code.html
- Lenovo Selects Talend Big Data Integration to Streamline Supply Chain Management
“We needed an easy-to-use and agile solution that could connect data in real-time from a variety of sources and then efficiently transfer that data to our global inventory management and procurement center,” said Robin Li, IT senior manager, Lenovo. “Talend’s open source architecture gave us great flexibility and stood out for its speed and effectiveness in handling massive volumes data.”
Photo: Denys Nevozhai