Case Lessons involving knowledge management

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Has related caseLessonHas working group theme
Enlarged decision spaceDss development process
Knowledge management
Projection of stand development increases knowledge baseModels & techniques
Knowledge management
Provide missing help-documentation serviceDss development process
Knowledge management
Results are always strongly dependent on the quality of the underlying dataModels & techniques
Knowledge management
Interpretative case studies can help reduce the gap between research and practiceKnowledge management
Participation
Visualization of the preliminary actor network made the people explicity include the DSS in a planning processKnowledge management
Participation
SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholdersDss development process
Participation
Knowledge management
SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain andParticipation
Knowledge management
To meet the needs of customer - the Forest Service - and to obtain satisfying results theDss development process
Participation
Knowledge management
Requirement of specialized skills can discourage some potential usersKnowledge management
The use of structured output (maps, tables and charts) makes the methodology and the results moreDss development process
Knowledge management
DSS allowed to explain better some technical concepts to non-professional stakeholdersParticipation
Knowledge management
Stakeholders contribution in ranking forest functionsParticipation
Knowledge management
End user engagement throughout the development and deployment cycle is very importantParticipation
Knowledge management
Regular ongoing engagement helped maintain interest of usersKnowledge management
Users preferred enhanced functionality rather than useabilityDss development process
Knowledge management
The scope of the modeling project can change significantly during the projectDss development process
Knowledge management
Despite the widely use and acceptance of the DSS there was still a lack of expertise toModels & techniques
Knowledge management
It is necessary to know which data will be use as variables in the models before designing the DSSDss development process
Knowledge management
Running the DSS required special skills, therefore the local planning team required considerableParticipation
Knowledge management
The DSS models built must match the knowledge of the local forest managers, so the ability for localDss development process
Participation
Knowledge management
Analysis at the landscape level allowed the integration of concerns about multiple resources as wellModels & techniques
Knowledge management
Forest managers have to analyze how their forest management interventions effect the landscapeModels & techniques
Knowledge management
The DSS gave the forest manager the opportunity to experiment how their emphasis towards certainParticipation
Knowledge management
The DSS usage enabled the planning team to measure the achievement of the restoration goalsKnowledge management
The use of EMDS allowed the planning team to identify priority area for restoration treatments thatKnowledge management
The use of the DSS improved communication among the planning team by providing a framework of theParticipation
Knowledge management
An iterative process of presenting results to subject matter experts enabled them to betterParticipation
Knowledge management
DSS helped document and apply decision criteria consistently, and therefore produced a moreParticipation
Knowledge management
Model building was rapid, it was assembling the data that took by far the most timeKnowledge management
Spatial variation between regions led to the development of different regional models, which led toParticipation
Knowledge management
The analysis team used internal prototyping, which helped train the staff and identify possibleParticipation
Knowledge management
The software did not provide much support for formatting of the outputs in a format that could beParticipation
Knowledge management
Use of the DSS has been considered successful by the participating organizations, even though it hasParticipation
Knowledge management