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