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Many organizations are in a perpetual state of change. Changing
markets, changing competition, changing organization structures,
total quality initiatives and reengineering are often the rule
rather than the exception. Often these initiatives fail to yield the
desired results or, in the extreme, fail entirely. The reasons for
this failure, of course, can be many and multiple. However, one that
often stands out is the lack of change in the performance
measurement system as the needs for measurement change.
The recommended solution is often to establish new measures
appropriate to the new techniques employed and appending them to the
existing measurement system without regard for the contradictory
nature of the old and new measures and without any understanding of
which measures are more important. At worst, the organization
continues to emphasize and use old "hard" measures, ignoring their
negative effect on the new organizational initiatives.
What is at work here is a lack of basic understanding of what
measurement is, what it is designed to accomplish and what its
effect is on the behavior and culture of the organization.
Therefore, the objectives of this paper are to 1) define what
performance measurement is, 2) identify its characteristics, 3)
analyze the requirements of an effective measurement system, 4)
determine how it affects behavior and culture in an organization and
5) recommend a direction toward improving performance measurement
in the knowledge organization.
The Purpose of Performance Measurement
The traditional role of measurement in a business organization was
to answer questions of quantity—how many sales, how much cost, how
much expense, how much profit, etc. People were expected to work as
hard as management could make them and were replaced if it was felt
that this was not so. Early in the 20th century, Frederick W.
Taylor, by analyzing physical work, was able to measure performance
of individuals against time and method goals called standards. Work
methods ceased to the proprietary knowledge of Trade Guilds and
became standardized, hence measurable.
The nature of work at the time and the lack of ready availability of
measurable data defined the measurement system. The results of work
were physical, identifiable and easily counted and could be compared
against the time taken to accomplish the task. However, the ability
to collect, manipulate, summarize and report measurement data was
limited by the information processing tools available at the time.
Large masses of data were difficult, time consuming and expensive to
collect and report. These factors resulted in a performance
measurement system that 1) focused on the measurement of physical
work accomplished by individuals or working in functional
departments having common characteristics that could easily be
identified, counted and summarized and 2) because of the paucity of
data available, tended to use whatever information was available to
measure and manage the business.
Neither of these circumstances applies to most business
organizations today. First, "make and move" work with an
identifiable physical product involved is performed by less than 22%
of the U.S. workforce, down from over 70% at the conclusion of World
War II. The bulk of workers today are knowledge workers, hired for
what they know, not what they can do and service workers, where work
is less standardized and performance criteria more subjective.
Second, there is no longer a shortage of data on the state of the
organization. Indeed, the problem today is how to harvest useful
information from the volumes of data available.
Unfortunately, many if not most organizations are still operating
measurement systems as if pre-WW II conditions still existed. For
example, many companies still support extensive direct labor
reporting systems focusing on individuals by job, by task, by work
center, by day, etc., when direct labor only constitutes 8-12% of
product cost on average in the U.S. The bulk of the product cost
goes virtually unanalyzed, thrown into an overhead pool and painted
over all products in an arbitrary manner based on direct labor
volume. In other words, the largest element of cost is allocated
based on the smallest element of cost. In addition, organizations
continue to measure individuals while trying to build teams on the
shop floor, thus sending conflicting messages to employees.
The result is a measurement system that, at best, provides no useful
information and, at worst, provides information that is often wrong,
misleading and motivates employees to act in ways that are contrary
to the needs of the changing organization. To solve this problem, a
basic understanding of the characteristics of performance
measurement and their effect on behavior must be gained. The
following attempts to provide that understanding.
To be Continued
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