When people talk
about knowledge management (KM), it devolves into highly abstract and
philosophical statements. But there is a real world of KM–a world of budgets,
deadlines, office politics and organizational leadership. KM projects are
attempts to make practical use of knowledge to accomplish some organizational
objective through the structuring of people, technology and knowledge content.
These projects are appearing throughout the business world.
In order to
understand how knowledge is really being managed in companies today, 31
different KM projects in 20 different firms were studied. In most companies,
only one project was addressed, but to get an in-depth look at KM in a single
organization, 10 projects were observed in one firm. Site visits were made to
four of the firms and the rest interviewed by telephone. The sources of
information were typically managers of knowledge projects, or of the KM function
across the organization. In addition, many of these firms were participants in a
research program on multiple aspects of KM.
Types of KM projects
Great variation
was found among the 31 projects. Some were self-funding, using a market-based
approach that charged users for knowledge services. Companies funded others out
of overhead. Some took a hybrid approach relying on corporate funding during
roll-out requiring a transition to self-funding after some period of time. A
centralized KM function managed or coordinated some projects while others
occurred in a more bottom-up and decentralized fashion. Where some initiatives
were fundamental to the very purpose and existence of a firm, others were
peripherals. Some defied economic justification and others generated revenue
from external customers.
In addition to defined
objectives, each had a person in charge of the effort, specific commitment of
financial and human resources and a focus on knowledge as distinct from
information or data. The projects also shared in common three broad types of KM
objectives–attempts to create knowledge repositories, improve knowledge
access, and improve knowledge cultures and environments.
Knowledge access and transfer
Another type of
project found was predicated on providing access to knowledge or facilitating
its transfer among individuals. Where knowledge repositories aim at capturing
knowledge itself, knowledge access projects focus on the possessors and
prospective users of knowledge. These types of projects acknowledge that finding
the person with the knowledge one needs and then successfully transferring it
from one person to another can be a daunting process. If the metaphor of a
library is useful for conceptualizing knowledge repository projects, then that
of ‘Knowledge Yellow Pages’ might best symbolize the purpose of knowledge
access projects.
Knowledge access projects vary in
their technological orientation. For example, several instances of companies
building and managing expert networks or maps of knowledge sources were
encountered.
At one company, the expert network was not an improvement targeted at some
segment of the operation but was actually the primary business.
The Yahoo model represents the
self-service model where the user is responsible for making all the selections,
while the other hand, the Amazon model is automated and based on the software
that comes in many flavors–collaborative filtering, statistical scoring, user
profiles, click-stream and rules-based logic. Both models have strengths and
weaknesses should be mixed and matched based on the target audience and business
purpose of your site. In the self-service model, the software shows no
intelligence and relies entirely upon user interaction, while the automated
model tries to anticipate user behavior without really understanding real world
situations.
Inadequacy in personalization
The
personalization logic proved incomplete during the holiday shopping period. If
you place an order for family members and friends with divergent tastes, the
site will assume that all the products are being bought for the logged on
customer’s personal use. So, even though you would not normally purchase ‘acid
rock’ music, the site will keep offering similar music CDs to you. The other
question currently is–how will the personalization software adapt to change in
user’s tastes with passage of time?
On the other hand, if the
self-service model were to be adopted, it goes to the other extreme and relies
completely on user input, providing little or no automation.
One of the good site designs and
personalization concepts is used by the home depot’s site–www.homedepot.com.
It gathers data about your objectives and goals as you browse. You can avoid
filling any forms if you wish. The content is categorized, based on a user’s
goals for coming to the site. Once you identify your goals by selecting one of
the tabs, the site pushes content in a seamless way and it never even appears
that the content is being pushed.
Beyond personalization
Personalization
is becoming the current hype of the web industry today. There are many first
generation players with products that will let you apply some sort of automated
content personalization. The most well known companies in this market segment
are–Andromedia, BroadVision and Net Perceptions. As always, in the race of ‘time
to market’, the first solutions were not tech-savvy but merely automated some
aspects of personalization. Most of the first generation tools still required
significant programming support, editorial staff and other members to make it
work. With many players involved in defining a solution based on personalized
content, the user is not guaranteed a great experience on the site that uses
these tools. With the potential of new tools attacking the same problem in a
different manner, it will be interesting to see the new solutions.
In a nutshell
Current
deployments of personalization represent a solid start. Care must be taken to
not just automate old methods of market analysis with the hope that it will give
better or different answers. In the quest to provide unique experience to every
individual visiting the site, one ends up intimidating the customer by collecting substantial quantities of data but is unsure of what to do with it.
With increased concern regarding customer privacy and the potential for
legislation, greater sensitivity to methods of collecting profile information
will be required.