One day we can read that using Facebook at work increases productivity by 9%. The day after we ear that it decreases by 1,5%. Depending on people’s interest, sometimes a liberal attitude is promoted, sometimes a total ban, sometimes an internal placebo made of home-mades facebook-likes intranet. This is only my own opinion but I’d like to share it : the best way to use such surveys is to…throw them into the trask and never listen to any (disinterested) conclusion that can be drawn from them.
First I’d like to know how Facebokk’s users productivity is measured against those who don’t use it in the workplace. This means two things : those who use it at home can get benefits they’ll use once in the workplace. And vice-versa. And conversely. The second is how we know some use it and when ? Of course the IT dept can track such things, but what about mobile use on iPhone or BlackBerry ? Last, I’d like to understand what “productivity” exactly means. It’s easy to undersand what it mean on an assembly line, less in office work. Ok, the final result may be measured, but what about intermediate indicators ? Admitting that productivity is the right word, it does not take into account something that is key in the modern economy : the accumulation of knowledge at a M moment that makes someone more productive at a M’ moment. Unlike M. Taylor’s time, productivity is not an instant measurement and being less productive at a given moment helps being more productive later. For some people, Facebook may contribute to the accumulation of knwoledge.
I’d also like to point at another issue : numbers only say what you want them to say. If any service or department is underutilized, employees are obviously unproductive. Maybe that’s the reason way they use facebook in the workplace. There are many things to see about how to deal with such causality chains.
To end, we have to consider two situations : when Facebook is a work tool and when it’s not.

You can find the "original" french version of this blog here

