series of formal, semi-formal and informal tasks
which are not predetermined. There is a strong
connection between the experience of a team and the
result of the process; therefore it is most valuable to
share knowledge between the design teams to get
optimal results. ACTIVE technology is utilized for
task mining, i.e. recording the series of steps from
each team, formalizing them into knowledge
structures and sharing them with other teams. The
use case doesn’t focus on the business processes
itself, but more on the results as well as the
formalization of the process. Therefore the important
key aspects are IT investments, IT adoption, IT
administration, knowledge management with 2.0
technologies, information sharing with 2.0
technologies and knowledge process support.
The telecommunication use case utilizes
collaborative technologies for collaborative bid
creation, i.e. to support their sales department in
dealing with incoming requests for bids. Time is a
critical factor within this use case; therefore it is
essential that sales people are able to access relevant
information, documents and people. The case study
partner utilizes so called activated applications,
which are frontend-tools like word or excel that have
been enabled by a plug-in to interact with the
ACTIVE knowledge workspace in the backend.
Information, knowledge processes and contacts are
gathered, processed and shared within the sales
team, therefore making best use of the collective
wisdom of the group. This use case covers the full
scope of the developed technologies; therefore all
key aspects have to be considered and assessed.
5 CONCLUSIONS
This paper presents an integrated approach to
evaluate the impact of knowledge process
supporting technologies. A reference framework is
introduced which defines the scope of the approach
and a respective course of action has been
introduced. Three areas of influence have been
identified and a cost-benefit-framework has been
developed, which describes these areas with nine
different key aspects. Cost drivers and benefits from
different fields have been integrated into this
framework and assessment methodologies for each
of them have been described.
Due to its high scalability and covered scope, the
introduced cost-benefit-framework seems to be very
promising. Additionally the framework seems to be
adoptable beyond the scope of the ACTIVE project.
However research is still ongoing and some open
questions still need to be answered. On the one hand,
the cost-benefit-framework has to be finalized,
gathering all relevant factors and categorizing them
into the existing schema. On the other hand,
methodologies for the evaluation of knowledge
process related aspects have to be finalized.
Therefore, existing methodologies from other areas
are currently examined regarding their relevance and
eventually need to be adopted for this specific case.
Finally the quality of this schema has to be validated
with real world data from the case study partner.
ACKNOWLEDGEMENTS
This work has been partly funded by the European
Commission through ICT Project ACTIVE:
“Advanced Context Technologies for collaboraTIVe
Enterprise” (No. ICT-FP7-215040). The authors wish
to acknowledge the Commission for their support. We
also wish to acknowledge our gratitude and
appreciation to all the ACTIVE project partners for
their contribution during the development of various
ideas and concepts presented in this paper.
REFERENCES
Hill, C., Yates, R., Jones, C., Kogan, S. L., 2006. Beyond
predictable workflows: Enhancing productivity in
artful business processes, IBM System Journal,
Volume 45, Number 4.
Brown, M., 2007. Social Computing Upends Past
Knowledge, Forrester Trends, March 8
th.
Forrester Big Idea, 2006. Social Computing, February 13
th
Active Knowledge-Powered Enterprise, www.active-
project.eu.
Ramirez, Y. W., Nembhard, D. A., 2004. Measuring
knowledge worker productivity, Journal of Intellectual
Capital, 5, 4.
Ahmed, P. K., Lim, K. K., Zairi, M., 1999. Measurement
practice for knowledge management, Journal of
Workplace Learning: Employee Counselling Today,
Vol. 11.
Pietsch, T., 2003. Bewertung von Informations- und
Kommunikationssystemen, Erich Schmidt Verlag, 2.
Auflage.
Schachner, L., 1973. Return on Investment: Its Values,
Determination and Uses, CPA Journal 43.
Haas, M., R., Hansen, M., T., 2007. Different knowledge,
different benefits: Towards a productivity perspective
on knowledge sharing in organizations, Strategic
Management Journal Vol. 28 Issue 11.
Eschenbach, S., Schauer, B., 2008. More Productive
Knowledge Work.
KMIS 2010 - International Conference on Knowledge Management and Information Sharing
258