If you want to read just one book on Knowledge Management (KM) I would recommend reading this book. It is co-authored by John Seely Brown, one of the top thinkers in KM. John was the CIO and Xerox. He asked questions like "If a photocopy repair person finds that if you do X on copier Y then you solve problem Z". Now how to you capture that bit of knowledge and make sure every other photo copy repair person can leverage that information. The book is well written and shows how KM systems must combine the disciplines of psychology, sociology, library science and computer science to solve challenging information systems problems.

This is an excellent introduction to the field of Knowledge Managment (KM) for the non-technical person. It is ideal for manager, project managers, business analysts an other team members of a KM project.

Anyone that is a fan of the Harvard Business Scool Press will appreciate this book's approach to Knowledge Management (KM). The book starts out with good solid semantic definitions of the field and then progresses to some very practical ways to implement KM functions in an organization. The book is not only well edited but is full of very useful callouts and advice for skimmers. Both Davenport and Prusak are very well reguared experts in the field of KM and this book seems to capture much of their own knowledge. My only problem with this book is that it seems a little short on real-word case studies. Something I would not normally expect from a Harvard Business School book.

This book is one of my favorite books on Knowledge Management (KM). It is written from the perspective that there are many best practices that have already been identified in the industry and it attempts to capture many of these within the context of the KM project lifecycle. I would strongly recomend this book for an KM project managers. This book also provides some nice but short KM case studies from organzations like Hugues, Texas Instruments, the National Security Agency (NSA), Monsanto, IBM, Hoffmann-La Roche, Skandia, National Semiconductor, Buckman Labs, Sequence Computer Systems, Author Anderson, CIGNA Property and Casuality, Ernst and Young etc. From the breath of these companies you can see that the authors have a great deal of experience accross many industries.

I wanted to add this book to the KM books because I feel that a strong grasp of text-mining technologies is critical to search and retrevial issues in an enterprise.