For the month of July, I challenge myself to blog every day with a series of posts around Knowledge Management books. Rather than come up with a list of top recommended readings in KM, I'm simply going to pick books on my bookshelves (hard copies and electronic). I anticipate that each, regardless of how much of a classic (or not) it is, will be a trigger for some valuable reflections. On top of that, I'm hoping to gain some insights into learning through aggregation, reflection and synthesis. Here's the question I'm asking myself: Can you get more out of 30-40 books by revisiting them all at once compared to what you get by reading them over a decade?
At the end of the month, I will construct a synthesis knowledge map based on these reflections, highlighting key insights. I don't know what it will look like. I don't even know if the exercise is worthwhile. My final post in the series will be precisely about that. What was useful about the exercise? What didn't work well? What did I learn from this challenge? Would I recommend it to others?
I don't want to put too much thought into the order in which I will pick the books but one stands out in my mind and I will start the series with it on July 1.
Learn or Die: Using Science to Build a Leading-Edge Learning Organization, by Edward D. Hess.