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64 | <strong>Organiz<strong>at</strong>ional</strong> <strong>Development</strong> <strong>for</strong> <strong>Knowledge</strong> <strong>Management</strong> <strong>at</strong> W<strong>at</strong>er Utilities<br />

most complex problems there is rarely enough right in<strong>for</strong>m<strong>at</strong>ion or time to provide a definitive,<br />

clean solution, finding solutions to complex problems becomes a cre<strong>at</strong>ive act.<br />

Decision-making refers to the selection of one or more altern<strong>at</strong>ives gener<strong>at</strong>ed by the<br />

problem-solving process. Some key points to note concerning decisions are:<br />

1. No decision is a decision.<br />

2. All complex decisions involve values and judgments.<br />

3. No one can predict the future.<br />

4. Every decision is a guess about the future.<br />

5. The quality of a decision cannot be measured by its outcome.<br />

There are many ways to make decisions and just as many processes. But no m<strong>at</strong>ter wh<strong>at</strong> process is<br />

used, there are some questions th<strong>at</strong> should be considered be<strong>for</strong>e starting to make a decision. First,<br />

who should make the decision? Then, if it is determined th<strong>at</strong> a team should make the decision, how<br />

will the outcome be measured? Wh<strong>at</strong> is the type and degree of team interaction needed during team<br />

decision-making discussions? Will the decision require cre<strong>at</strong>ive thinking or analysis and logic? Do<br />

all team members need to be present? Should outside experts particip<strong>at</strong>e in the process? Is facilit<strong>at</strong>ion<br />

needed? Finally, wh<strong>at</strong> is the sequence of thinking th<strong>at</strong> the team will go through to arrive <strong>at</strong> a<br />

decision? As the environment becomes more complex, decision-makers <strong>at</strong> the point of action<br />

(residing <strong>at</strong> all levels throughout the organiz<strong>at</strong>ion) must increasingly rely on their intuition and<br />

judgment.<br />

Implement<strong>at</strong>ion is the act of taking good decisions and turning them into actions and<br />

changes th<strong>at</strong> solve problems, s<strong>at</strong>isfy customers, take advantage of new opportunities, and enhance<br />

the image and value of the utility. Implement<strong>at</strong>ion is the most situ<strong>at</strong>ion-dependent of the major<br />

processes. The details of the actions required to achieve the desired results cannot be generalized.<br />

However, there are a few points to remember. When individuals who have responsibility <strong>for</strong> implement<strong>at</strong>ion<br />

are aligned with the decision, implement<strong>at</strong>ion becomes much more effective. Ultim<strong>at</strong>ely,<br />

implement<strong>at</strong>ion is built on rel<strong>at</strong>ionships and an understanding of the objectives and the environment.<br />

Efficiency and clarity of communic<strong>at</strong>ion, coupled with openness and a sincere concern to<br />

share understanding and get particip<strong>at</strong>ion, will help ensure success. The paragraphs th<strong>at</strong> are covered<br />

in this section on execution are specifically concerned with the implement<strong>at</strong>ion of KM str<strong>at</strong>egies<br />

and initi<strong>at</strong>ives.<br />

<strong>Knowledge</strong> Capture<br />

Wh<strong>at</strong> we refer to as knowledge capture is actually the capturing of in<strong>for</strong>m<strong>at</strong>ion th<strong>at</strong> can<br />

then be used by decision-makers to cre<strong>at</strong>e knowledge. In<strong>for</strong>m<strong>at</strong>ion can be captured in many ways.<br />

For example, every time utility workers develop white papers, research papers and reports, they<br />

are capturing their knowledge in the <strong>for</strong>m of in<strong>for</strong>m<strong>at</strong>ion which others can read and hopefully<br />

understand. A large part of how well this in<strong>for</strong>m<strong>at</strong>ion is understood is based on context and a common<br />

language. These documents are then stored in in<strong>for</strong>m<strong>at</strong>ion systems (with contact in<strong>for</strong>m<strong>at</strong>ion<br />

<strong>for</strong> the origin<strong>at</strong>ors), and connected to similar and complementary in<strong>for</strong>m<strong>at</strong>ion th<strong>at</strong> can help build<br />

a deeper understanding of when and how to use this in<strong>for</strong>m<strong>at</strong>ion in future situ<strong>at</strong>ions.<br />

An approach to capturing lessons learned is after action reviews, real-time communic<strong>at</strong>ion<br />

vehicles th<strong>at</strong> share understanding across the implement<strong>at</strong>ion team while also serving as lessons<br />

learned <strong>for</strong> those who l<strong>at</strong>er read them, and assessment instruments <strong>for</strong> those who l<strong>at</strong>er analyze<br />

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

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