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Systematically diagnosing and improving the perceived usefulness of organizational memories

  • Chapter 2: Methodology
  • Conference paper
  • First Online:
Learning Software Organizations (SEKE 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1756))

Abstract

The benefits of an organizational memory are ultimately determined by the usefulness of the organizational memory as perceived by its users. There-fore, an improvement of an organizational memory should be measured in the added perceived usefulness. Unfortunately, the perceived usefulness has many impact factors. Hence, it is difficult to identify good starting points for improvement.

This paper presents the goal-oriented method OMI (Organizational Memory Improvement) for improving an organizational memory incrementally from the user's point of view. It has been developed through several case studies and consists of a general usage model, a set of indicators for improvement potential, and a cause-effect model. At each step of the general usage model of OMI, the indicators are used to pinpoint improvement potential for increasing the perceived usefulness and asking the user for specific improvement suggestions where feasible.

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Authors and Affiliations

  1. Fraunhofer Institute for Experimental Software Engineering (IESE), Sauerwiesen 6, 67661, Kaiserslautern, Germany

    Klaus-Dieter Althoff, Markus Nick & Carsten Tautz

Authors
  1. Klaus-Dieter Althoff
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  2. Markus Nick
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  3. Carsten Tautz
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Günther Ruhe Frank Bomarius

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© 2000 Springer-Verlag Berlin Heidelberg

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Althoff, KD., Nick, M., Tautz, C. (2000). Systematically diagnosing and improving the perceived usefulness of organizational memories. In: Ruhe, G., Bomarius, F. (eds) Learning Software Organizations. SEKE 1999. Lecture Notes in Computer Science, vol 1756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0101414

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  • DOI: https://doi.org/10.1007/BFb0101414

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41430-8

  • Online ISBN: 978-3-540-44470-1

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