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THE COMPETITIVE SEMICONDUCTOR MANUFACTURING HUMAN
RESOURCES PROJECT:
Second Interim Report
CSM-32
Clair Brown, Editor
13. A Systems View of Work Group
Performance: An Example from Semiconductor Manufacturing
David M. Bowen
4.0 Strategies for Improving Work
Group Performance
The exact variables to include in the model and the specific R2,
F-ratios and p-values associated with each model provide an indication
as to the relative importance of the factors represented by each
variable. However, a greater potential contribution of this research
lies in the intelligent use of the multi-level systems perspective
as a blueprint for decision-making to facilitate the design and
management of work groups. We now discuss use of the model in this
capacity, first on a general basis, then as applied to results for
the subject work group.
Utilizing the model as a guide for improving group performance leads
to five broad categories
of improvement strategies, corresponding to factors at the four
levels as shown in Table 1. To determine
which category provides the greatest leverage for improvement for
a given group requires an analysis whereby the performance of the
group is plotted alongside that predicted by the model. The preferred
improvement strategy then depends on where the actual performance
is located with respect to the predicted performance.
For example, consider the hypothetical group performance depicted
in Figure 6. If actual group performance
occurs at point A, then an 'increasing KSA' strategy is supported.
By contrast, if actual performance where at point D, additional
expenditures aimed at increasing KSA would not result in significant
improvement in performance. Given the latter (point D), attention
to increasing the upper limit by altering the system and/or external
environment would likely be more beneficial.
Extending the analysis to the rest of Figure 6, performance at point
E3 indicates the need to identify and remove inhibitors to performance,
i.e., to determine what is causing the group's KSA to be underutilized
and/or misapplied and take corrective action. Performance at point
C indicates opportunities for identifying, facilitating and (if
there is more than one work group) transferring group performance
catalysts, i.e., to determine what is allowing the group to perform
beyond expectations, then nurture and institutionalize it.
4.1 WORK GROUP KSA AND PERFORMANCE AT TBE SUBJECT FAB
From the site visit interviews it is clear that the subject fab
is committed to a policy of continually increasing the KSA of its
manufacturing employees through training and certification. Over
time, there is a significant increase in the KSA per person (see
Figure 7). The downward fluctuations in Figure 7 are the result
of hiring new employees with no documented KSA. If there were only
minimal training for the employees, we would expect the graph in
Figure 7 to show these dips followed by a transition period while
the new employee is trained to the level of the other group members.
As seen in the graph, there is instead an increasing average over
time.
Comparison of actual group performance to that predicted by the
model (see Figure 3B), suggests that increasing
group KSA is an appropriate strategy for improving group performance
given the current work system. This strategy appears to work well,
as substantial 'continuous improvements' in performance occurred
simultaneously with increases in group KSA over the twenty-three
week study period. However, focus on this improvement strategy exclusively
has long term limitations which need to be monitored due to the
diminishing returns to additional investment in training for a given
work system.
It appears that the strategy of increasing group KSA will be viable
in the present work system at the subject fab for some time. The
illustrative sample calculation of the" saturation point,"
though utilizing a number of rough estimates for parameters, calculates
a saturation point more than triple the current level of training.
The data indicates that other strategies may provide attractive
opportunities for improvement. Analysis of group level factors indicates
opportunities for performance improvement via investigation of the
causes driving the differences in performance in three versus four
day work weeks. Similarly, the dynamics of adding new members to
the group warrants investigation. Such investigations may reveal
relatively simple, cost effective opportunities for improving group
performance by institutionalizing performance catalysts.
4.2 STRATEGIES FOR THE CAPTURE AND TRANSFER OF PERFORMANCE
CATALYSTS
Making group performance data public to all the work groups
in a given organization can serve as the starting point for allowing
the groups themselves to identify performance catalysts and transfer
them within the organization. When the performance of one group
is consistently above the performance of the others, the lower performing
groups will know; a) their performance is less than what it could
be, and b) which group to go to for guidance.
Comparison of groups from different organizations can also provide
insight. Such information is commonly shared among different organizations
in the form of 'benchmarking studies.' Some of the specific catalysts
observed in work groups in different contexts may not be transferable
to work groups in other organizations, e.g., because of their reliance
on the specific technologies in use. However, there are likely to
be practices (e.g., running an efficient meeting, a
suggestion system, organization of committees, intra and inter -group
communication tools, etc.) that are transferable.
4.3 LONGTERM CONSI]DERATIONS
When group-members are performing near the limit of the system,
they are in a unique and advantageous position to understand what
is limiting performance, and therefore able to suggest and implement
system changes which will result in performance improvements. Consequently
groups performing near the system's upper performance limit indicate
a situation where an increase in croup autonomy over task and work
system could prove beneficial. The performance of the work group
under investigation is not necessarily close enough to the upper
limit to warrant chances in group autonomy at present. Presumably,
with increased training and experience, performance will eventually
approach the upper limit. When this occurs, consideration of increasing,
group autonomy as a mechanism for altering the system limit will
be appropriate.
5.0 CONCLUSIONS AND
AREAS FOR FURTHER STUDY
Organizations need to constantly identify
and eliminate barriers to performance to ensure continuous improvement.
Lapses in continuous improvement, or reductions in rate of improvement,
can arise when managers come to the conclusion that performance
is constrained by an element of the system other than that which
is truly constraining performance (e.g., when a lack of training
is holding back performance and the manager surmises that it is
a problem with facilities, equipment, government regulation, etc.)
Such mismatches between what is thought to be constraining performance
and what actually is constraining performance will result in misguided
investment of critical resources.
The systems view with a focus on group-member KSA presented in this
report supplies a good descriptive model for the performance of
the work group being studied. Mathematically speaking, its predictive
capability is satisfactory. However, we argue that the primary benefit
of the KSA model is that it provides a superior tool for identifying
which elements of the work system are actually inhibiting performance
improvement. Such identification can enhance an organization's decision
making capabilities for managing the performance of work groups
and work systems.
Minimal data, specifically the history of the performance and KSA
acquisition of group, proves sufficient for constructing the model
of group performance. Given only this minimal data, the KSA model
can explain 80% of the variance in work group performance, and also
provides:
1) an estimate of the upper limit of group performance given the
current work system,
2) a basis for estimating current and past system efficiency (utilizing
1),
3) a method for estimating changes in performance expected from
changes in group member KSA,
4) a method for determining what level factors are constraining
system performance, and
5) a method for determining the break-even or 'saturation point'
of croup KSA in a given system
Applied to the work group at the subject fab, the model confirms
the company's policy of continually increasing the KSA of manufacturing
personnel as a viable strategy for improving performance in the
current work system. This is a general result in that the model
does not specify who should receive what training when, only that
on a group-wide level, training leads to improved group performance.
Questions of whether cross training in skills already represented
in the group would provide as great a benefit as training to bring
new skills into the group are not addressed in the current level
of analysis.
Our results suggest that opportunities for performance improvement
exist via increasing group member KSA, investigation of three- versus
four-day-work-week practices, and investigation of the dynamics
of adding members to the group.
End of Chapter 13
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