Imagine a research-intensive organization where scientists should be sharing what they learn, and the official company policy is to share information and expertise among public and private partners. However, the company is ‘downsizing’ and layoffs are based on performance reviews. If one scientist helps a peer develop a patented product, and as a result the peer gets a better annual review, then the former may end up losing their job during the next round of layoffs. This was the situation I found myself in a decade ago.
Sharing knowledge was not a good personal strategy in this work environment even though it was official policy and was the focus of our project. We could not achieve our project objectives because systemic barriers pitted workers against each other in order to remain employed.
In this case, financial rewards for patents impeded learning, and in the end halted any knowledge sharing. In complex systems, the solutions are never simple, but our only hope is learning how to learn better and faster — individually, in teams, as an enterprise, and as a society. If we want to promote learning through knowledge sharing we should first look at what is blocking it.
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