Download Organizational Memory and Knowledge Management

Organizational Memory and Knowledge Management
Guest Editorial
Andreas Abecker, German Research Center for Artificial Intelligence (DFKI), Germany
Stefan Decker, Stanford University Database Group, USA
Frank Maurer, Department of Computer Science, University of Calgary, Alberta, Canada
The companies of the future will live in an environment where markets are continuously
shifting, technology proliferating, competitors multiplying, and products become obsolete
overnight. In the currently emerging knowledge society, knowledge is seen as the most
important success factor. Similar to the significance of technologies and mechanical machines
during the industrial revolution, the continuous creation and renewal of innovative ideas, as
well as the management of existing bodies of tacit and exlicit knowledge will play the pivotal
role in the future's businesses. The creation and acquisition of knowledge as well as its
efficient utilization will be the most decisive factors for maintaining or achieving the leading
edge in successful markets.
The term Knowledge Management (KM) has been coined and rapidly adopted in the
Business and Organization Sciences as a new endeavor to bundle in a holistic manner
formerly isolated efforts, to revitalize partial approaches interdisciplinarily, and to exploit in a
creative, yet practically oriented way the exciting potentials of emerging new technologies in
the Internet age. The roots of KM can be identified in research areas such as Organization
Science, Social and Organizational Psychology, Human Resource Management, ComputerSupported Collaborative Work, Intelligent Information Systems, and Artificial Intelligence. A
holistic approach to KM solutions will always consider a tuned interaction of management
activities concerning people, processes, and technology. Here, innovative technology is
usually seen as the enabling factor which caused a new enthusiasm for aims which were
already addressed many years ago---with more or less success---under labels like
Organizational Intelligence, Learning Organizations, or Organizational Memory. On the other
hand, it is clear now without any doubts that KM in total must care about all three factors
above, because technology alone will never work without careful examination of the social
and organizational factors around. There are even succesful and important KM initiatives
which can live completely without the use of extraordinary technological support.
In this Special Issue on Knowledge Management and Organizational Memory (which is an
important technological tool to support effective KM) we will try to challenge the IT
community to approach today’s Information Systems Frontiers a few steps further, driven by
the requirements and approaches of Knowledge Management.
To this end, we present three papers (the ones by Lehner & Maier, by Masterton & Watt, and
by Kanfer, Bruce, Haythornthwaite, Burbules, Wade, Bowker & Porac) which enlighten the
theoretical, historical, and methodological background for Knowledge Management and
Organizational Memory Information Systems, thus giving the holistic and interdisciplinary
perspective, framework, and requirements.
Further, we have two contributions presenting innovative software solutions which go well
beyond contemporary standard information systems. Motivated by a serious interpretation of
the term Knowledge Management, Ackerman & McDonald report on their work underlying
the seminal AnswerGarden system which aims at capturing the informal knowledge embedded in a company’s inofficial communication and collaboration flows. Based upon a careful
analysis of the word Organizational Memory, Abecker, Bernardi, Hinkelmann, Kühn &
Sintek describe their KnowMore system which combines Workflow technology and Artificial
Intelligence in order to offer proactive and context-sensitive information assistance to the
user.
Last but not least, the paper by Althoff, Bomarius & Tautz shows that KM activities cannot
be seen in isolation from the application domain they are located in, but must be embedded in
and can profit from mature methods and stable knowledge already gathered about the world
where KM solutions shall be deployed.
This Special Issue’s contributions in alphabetical order of the first authors:
Business-Process Oriented Knowledge Management: Abecker et al.
A system prototype is described which couples an active information assistant and a
workflow engine in order to proactively present context-sensitively selected information
sources to a user accomplishing knowledge-intensive tasks in a business process.
From Collaboration Support to Collective Memory: Ackerman & McDonald
The authors present two systems for incorporating communication flows among people into
an organizational memory framework, and for distilling and refining the informal information
obtained through such communication flows. They report on the AnswerGarden 2 application
which was built using these two systems.
Knowledge Management for Learning Software Organizations: Althoff, Bomarius &
Tautz
The paper combines knowledge management technology, in particular case-based reasoning
systems, and mature approaches from Software Engineering, like the Experience Factory
model, to provide support for the creation of learning software organizations.
Modelling Distributed Knowledge Processes in Next Generation Multidisciplinary
Alliances: Kanfer et al.
A new model for understanding knowledge sharing in distributed knowledge processes is
proposed and applied to examine the tension between embedded and mobile knowledge in
distributed, multidisciplinary scientific teams in the National Computational Science Alliance,
which can be seen as a prototypical next generation virtual knowledge-based enterprise.
Influence of OM Theories on OM Systems: Lehner & Maier
On the ground of a comprehensive review of interdisciplinary contributions to a theory of
Organizational Memory, which takes into account influences from organization science,
psychology, sociology, and artificial intelligence, the authors draw conclusions for the
development of OM Information Systems which are different from traditional software
development perspectives. These conclusions lead to research questions to be addressed in the
future.
Social Roles and Meta Knowledge Management: Masterton & Watt
Starting with an analysis of common problems of knowledge management systems in
practice, the paper adapts models and theories from social and organisational psychology as
well as CSCW in order to obtain practical lessons and a new framework to help designing
future knowledge management systems which will be accepted by their intended users.
All papers considered for publication in this special issue have been carefully reviewed by at
least three acknowledged IT experts working in areas such as Groupware, Knowledge-Based
Systems, Software Engineering, Database Systems, Business Informatics, Workflow, and
Information Systems. We gratefully acknowledge the work of our reviewers: Klaus-Dieter
Althoff, Richard Bentley, Frank Bomarius, Uwe M. Borghoff, Simon Buckingham Shum,
Stefan Decker, Vladan Devedzic, John Domingue, Dieter Landes, David W. McDonald,
Patrizia Marti, Frank Maurer, Peter Mertens, Andreas Oberweis, Mark Perry, Jean-Pierre
Poitou, Duska Rosenberg, and Rudi Studer.