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Organizational Development for Knowledge Management at Water ...

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and to cre<strong>at</strong>e new knowledge through a mutual learning process. For example, mentoring—a<br />

rel<strong>at</strong>ionship between an experienced Utility and a younger professional—can facilit<strong>at</strong>e the<br />

sharing of shallow and deep knowledge.<br />

<strong>Knowledge</strong> is one of those rare things you can give away and still have. In the past,<br />

knowledge was used in organiz<strong>at</strong>ions to control others and maintain power. Today, knowledge<br />

hoarders have limited value to their organiz<strong>at</strong>ions and often cre<strong>at</strong>e cultural barriers to learning.<br />

Wherever possible, it is best to develop and share as much knowledge as possible so th<strong>at</strong><br />

others can act independently and develop their own internally and situ<strong>at</strong>ion-driven behavior.<br />

Through reciprocal sharing, innov<strong>at</strong>ion springs into being.<br />

While a necessary first step, simply having access to knowledge does not constitute sharing.<br />

For example, many organiz<strong>at</strong>ions make in<strong>for</strong>m<strong>at</strong>ion available through technology systems, but<br />

fail to incorpor<strong>at</strong>e knowledge maps or guides <strong>for</strong> users so they can find wh<strong>at</strong> they need and put<br />

it to use. Yet, as The World Bank <strong>for</strong>wards, knowledge sharing has become a str<strong>at</strong>egic<br />

necessity to survival. A growing number of organiz<strong>at</strong>ions are recognizing the need <strong>for</strong><br />

collabor<strong>at</strong>ion across organiz<strong>at</strong>ional boundaries (see cross-utility collabor<strong>at</strong>ion).<br />

Ideally, knowledge sharing emerges as part of the culture. Some examples th<strong>at</strong> facilit<strong>at</strong>e<br />

knowledge sharing are: the support and use of teams and communities as part of the everyday<br />

work process, the example of openness and integrity set by senior leadership; and an awards<br />

program th<strong>at</strong> rewards knowledge sharing. See the APQC best practice report on Cre<strong>at</strong>ing a<br />

<strong>Knowledge</strong>-Sharing Culture.<br />

Evalu<strong>at</strong>ing and Measuring<br />

While there is a need to measure expenses, schedule, scope, and quality, there are also<br />

subjective measures <strong>for</strong> things like your team’s rel<strong>at</strong>ionship with stakeholders, knowledge<br />

sharing, innov<strong>at</strong>ive ideas emerging, etc. Any measure is appropri<strong>at</strong>e if it helps ensure the<br />

project is on track with its str<strong>at</strong>egic intent. When picking metrics, ensure th<strong>at</strong> you are measuring<br />

<strong>for</strong> the future. Since wh<strong>at</strong> gets measured is wh<strong>at</strong> gets <strong>at</strong>tention, it is important to think <strong>for</strong>ward<br />

to the desired end st<strong>at</strong>e and identify per<strong>for</strong>mance measures th<strong>at</strong> move beyond specific goals to<br />

serving as part of the implement<strong>at</strong>ion change str<strong>at</strong>egy. The knowledge centric organiz<strong>at</strong>ion<br />

model designed by the Department of the Navy uses three types of metrics to assess different<br />

levels of KM impact, namely outcome (enterprise or overall value), output (project or task), and<br />

system (technology tool). See the Department of the Navy Metrics Guide <strong>for</strong> KM Initi<strong>at</strong>ives and<br />

additional assessment tools. In Project Study #24 progress toward KM is measured as part of<br />

the Utility’s systems-based management approach.<br />

The perspectives of the customer, department, organiz<strong>at</strong>ion, and individual are critical to the<br />

project’s success and, as appropri<strong>at</strong>e, need to be incorpor<strong>at</strong>ed into its evolution. The<br />

implic<strong>at</strong>ion <strong>for</strong> KM metrics is th<strong>at</strong> it is important to identify who is likely to use the per<strong>for</strong>mance<br />

measurement in<strong>for</strong>m<strong>at</strong>ion. Potential users include str<strong>at</strong>egic decision makers, special project<br />

decision makers, funding and approval stakeholders, government agencies involved in approval<br />

or regul<strong>at</strong>ion, or customers. Measures should be in terms th<strong>at</strong> are familiar to the stakeholder,<br />

there may be several different metrics th<strong>at</strong> need to be captured <strong>for</strong> an initi<strong>at</strong>ive. There is no one<br />

“right” set of measures <strong>for</strong> KM, and most initi<strong>at</strong>ives will require a combin<strong>at</strong>ion of measurement<br />

types and classes to reflect the overall mission and str<strong>at</strong>egy of the Utility and effectively<br />

communic<strong>at</strong>e with key individuals.<br />

©2011 W<strong>at</strong>er Research Found<strong>at</strong>ion. ALL RIGHTS RESERVED.

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