Anyone who has worked in a "modern" office environment can appreciate the phenomenon that occurs with workers and their cubicles, especially when they are trying to solve a problem new to them:
prairie doggin'This is when an employee pops up to see if their neighbor has a tactic or solution that would help them solve their problem.
In a recent article in the Harvard Business Review,
The Cost of Knowledge (November 2006), Al Jacobson and Laurence Prusak make the following statement:
"'Knowledge management' in organizations has become synonymous with 'knowledge searching.' Web crawlers and other data-mining programs swarm over terabytes of documents and e-mails looking for clues that can help connect information seekers with sources. Clever icons adorning desktops promise to instantly deliver users to the right expert."
They go on to state that by the year 2010 the sale of enterprise information-search systems will grow, tripling its current value to $2.6 billion.
The breakdown by how "knowledge workers" spend their time include:
6.2% scheduling meetings with experts10.2% searching for knowledge37.7% eliciting knowledge from experts (aka prairie doggin')45.9% adapting knowledge gainedHow do some of the new tools introduced by social networking technologies (e.g., instant messaging, blogging, podcasts) factor in to the "daily workflow" of information searching, analysis and application? In other words, do these help "speed" up the search for information and solutions?