human side. One practical tool for information
processing could be the information management
process model developed by Choo (2002), which
begins with defining information needs and acquiring
information. The data analysis phase is when data
collected from different sources is analysed. The next
step in the process is information sharing and
utilisation. However, information will only become
valuable when it is used in decision-making and
operational development, and when real changes in
the organisation's operations take place. It is essential
to evaluate the changes through measuring and what
is learned from the benchmarking process. In that
way, by identifying new development needs, the
information management cycle starts again.
As in the benchmarking process, the information
process requires the selection of the theme and the
definition of the concept of the issue; what is actually
to be examined in benchmarking. The object setting
for benchmarking guides the benchmarkers and
potential data users to consider what is the desired
outcome as well as who will benefit from the results
and how.
The next step is to define the data source for data
acquisition and to define how the data source will be
analysed. Data can be retrieved using different
databases, and it is essential is to identify the most
relevant data for the benchmarking purpose. The
benchmark information obtained needs
implementation steps. The results gained in the
benchmark information process can guide
knowledge-based decision making.
In summary, more effective benchmarking can be
achieved by strengthening the strategy orientation
and systematic approach. Strategy-driven benchmark
practices ensure that benchmarking is targeted
correctly. In turn, a systematic approach can be
increased through systematic data collection, sharing
and documentation, and by harnessing operations in
networks as a goal-oriented part of the development
of the organisation's competence and operations.
Finally, the results obtained should mirror the
objectives set for the benchmarking (how the targets
were achieved or why they were not met).
This study has several limitations that affect
especially the generalizability of the research results.
The empirical data is gathered only from two cases,
both representing Finnish health care system, which
in turn is a representative of the so-called Nordic
health care system. Furthermore, empirical data was
gathered only by qualitative means, thus the study is
lacking quantitative evidence. However, this study
was able to provide initial empirical insights of the
benefits and challenges that health care service
organizations face in development activities. Further
empirical studies are needed, as well as more solid
analysis of the overall KM process and its relation to
benchmarking phases.
ACKNOWLEDGEMENTS
This work is a part of the RECPHEALS project,
funded by Academy of Finland, Special funding for
research into crisis preparedness and security of
supply.
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