The review of the two
models of rules and their development and use has resulted in the definition of
a broad set of concerns and dilemmas. The picture that emerges is of a gap
between the reality of work and its routines, and the abstraction of the (often
written) rules that are supposed to govern it and guide behavior to carry out
that work safely. Technical Data used in the field explained in iosh course in
Rawalpindi.We have described two contrasting perceptions of violations
of those written rules, either as deviations to be stamped out, or as
inevitable and sometimes necessary adaptations to local circumstances to be
used and reinforced.
We have contrasted also
the bottom–up development, through social interaction, of domain expert rules
embodied in tacit knowledge, with the top–down imposition of rules devised by
external experts on operators perceived as fallible and relatively unskilled.
We reconcile these two views by making the monitoring and improvement of rules
an explicit and central process in the rule management process. We also stress
the need for involvement of ‘sharp-end’ experts (operators, supervisors) in
these processes, so that monitoring can lead in appropriate cases to changes in
existing rules, and not just to reinforcement and discipline. Some more details
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The framework:
We will structure this
section of the paper by using the earlier work of Hale and colleagues to act as
a framework for grouping the insights provided by the literature reviewed. We
present this framework as essentially neutral between model 1 and model 2, both
of which it can encompass. This framework, set out in, is a prescriptive
categorization of the steps logically necessary for the development,
promulgation, use, monitoring, modification or enforcement of rules .We use the
framework to assess whether rule management in practice follows this pattern,
and whether the recommendations from literature are compatible with it, and
flesh it out with good practice. TSK Training for Skills and Knowledge is the
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