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Organizational Development: A Manual for Managers and ... - FPDL

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On the other h<strong>and</strong>, the controlling subject should be able to resolve as many tasks per unit of time,<br />

as may arise in a system <strong>and</strong> dem<strong>and</strong> his or her response. This may be called the ‘law of minimal<br />

productivity.’<br />

Thus, any concrete subject (be it the director, board, or whatever) can only control the behaviour of<br />

a system in such conditions where <strong>and</strong> when the variety of possible situations <strong>and</strong> the rate of<br />

unpredictable change does not exceed his/her own variety of options <strong>and</strong> level of efficiency<br />

(speed) or productivity.<br />

Real organizations may often choose behaviours from a huge number of alternatives available<br />

within their given limits. The dynamics of change <strong>and</strong> the unpredictability of some significant<br />

factors may leave little time <strong>for</strong> reflection. Then the decisions of a director, if they are not made<br />

quickly enough may, at best, no longer make sense.<br />

When the control capacity of a ruling organ or body is not sufficient to ensure necessary control<br />

over the situation (within the range of parameters that require its control), then, instead of being an<br />

organ that brings order to an organization’s behaviour, may become the organ generating chaos.<br />

Alternative solutions might include:<br />

• Rein<strong>for</strong>cement of control capacity (e.g. substituting a weak director with a strong one,<br />

moving from personal leadership to a management team, using IT <strong>and</strong> expert systems, <strong>and</strong><br />

so on);<br />

• Reducing the number of controllable parameters (it is better to control a smaller number of<br />

more important parameters <strong>and</strong> leave others <strong>for</strong> self-regulation, than to hopelessly try to<br />

control more parameters than are actually controllable with the given capacity);<br />

• Disaggregation of control by allocating controllable parameters to other ‘levels of control’.<br />

Sometimes it is possible to present a system as a kind of hierarchical structure, visually<br />

representing relations to show how parameters supposed to be controlled on a higher level are just<br />

derivatives of particular parameters that are controlled at a lower level.<br />

For example, profit comes from sales <strong>and</strong> production costs; satisfaction of clients may depend on<br />

terms of delivery, price, <strong>and</strong> quality of product; warmth in municipal blocks may depend on heating<br />

arrangements <strong>and</strong> thermal insulation. In such cases it may be possible to employ more ‘controllers’<br />

<strong>and</strong> let them operate under the guidance of the ‘top’ one. This disaggregation may go further,<br />

when the tasks are still too difficult <strong>for</strong> the controlling capacity of available controllers – then it may<br />

make sense to employ another level of controllers to control even more simple elements. For<br />

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