The last decades have been fertile in producing an increasingly globalized world. Our network of friends is spread all over the globe. Facebook, Skype, Youtube, and countless other tools help us to stay connected. The work environment is no different: If you work for a large organization, you probably find yourself dealing with colleagues from other countries on a daily basis. If you work for a smaller local company, chances are that at some point you will end up working together with remote business partners. As economic activity becomes more and more dispersed (Exhibit 1), working with geographically dispersed teams becomes more and more commonplace. In this article we share seven suggestions to facilitate the management of these virtual teams.

More often than not, decisions today are made by teams, based on a broad number of collected ideas and opinions. Collecting these inputs and then reaching a consensus can be made through a broad number of decision-making techniques. In this article we analyze five of the most popular ones: Prediction Markets, Surveys/Polls, the Delphi Method, the Nominal Group Technique, and the venerable Face-to-face Meeting.

Renewable energy has evolved considerably over the last couple of years. So much, in fact, that solutions recently deemed to be unfeasible might now warrant a second look. Take mobile telecom operators, for instance: diesel generators are usually preferred over renewable energy based solutions for remote off-grid base stations, because they are cheaper and more reliable. In this article we explore three recent developments that might tilt the balance in favor of telecom towers powered by renewable energy.

We are often asked to make market forecasts, so we decided to go back to some of our older forecasts and see how well we fared. We found that most forecasts had a fair 15-20% deviation from the actual figures (Exhibit 1). There were however outliers: on the one hand, we overestimated the global installed capacity of wave energy by an order of magnitude, while on the other hand we predicted the evolution of wind energy costs inside a 5% margin. In any case, the real value of forecasting is what you learn in the process, as it forces you to understand and quantify the forces that shape a particular market. In this article we share four lessons learned while making market predictions and forecasts.