Difference between revisions of "Case-Lessons with WG3 subthemes"

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(Created page with "Category:Case Analysis ===To add a WG subtheme=== # Right click on lesson name, open lesson in new tab # In upper right of screen, click on 'Edit with form' # Add WG subt...")
 
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Latest revision as of 20:14, 17 September 2013


To add a WG subtheme

  1. Right click on lesson name, open lesson in new tab
  2. In upper right of screen, click on 'Edit with form'
  3. Add WG subtheme in 'Free text' area at bottom of form, using format [[Wg1::NewSubtheme]]
IDLessonHas working group themeWg3Wg2Wg1Wg4
14The scope of the modeling project can change significantly during the projectDss development process
Knowledge management
EvaluationProjmgt
15The use of structured output (maps, tables and charts) makes the methodology and the results moreDss development process
Knowledge management
TransferInterface
16Users preferred enhanced functionality rather than useabilityDss development process
Knowledge management
Identification
Application
Interface
17Enlarged decision spaceDss development process
Knowledge management
GenerationProjmgt
18It is necessary to know which data will be use as variables in the models before designing the DSSDss development process
Knowledge management
Identification
Storage
Problem specification
19Provide missing help-documentation serviceDss development process
Knowledge management
TransferDocumentation
42To meet the needs of customer - the Forest Service - and to obtain satisfying results theDss development process
Participation
Knowledge management
IdentificationParticipation
Communication
Transfer
43The DSS models built must match the knowledge of the local forest managers, so the ability for localDss development process
Participation
Knowledge management
Identification
Transfer
Architecture
44SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholdersDss development process
Participation
Knowledge management
TransferParticipationDecision process
Learning
45The use of EMDS allowed the planning team to identify priority area for restoration treatments thatKnowledge managementApplication
46Requirement of specialized skills can discourage some potential usersKnowledge managementGeneration
Transfer
47The DSS usage enabled the planning team to measure the achievement of the restoration goalsKnowledge managementApplication
Evaluation
48Model building was rapid, it was assembling the data that took by far the most timeKnowledge managementApplication
Storage
49Regular ongoing engagement helped maintain interest of usersKnowledge managementTransfer
55Results are always strongly dependent on the quality of the underlying dataModels & techniques
Knowledge management
GenerationEffects of data quality
56Forest managers have to analyze how their forest management interventions effect the landscapeModels & techniques
Knowledge management
ApplicationProblem formulation
57Despite the widely use and acceptance of the DSS there was still a lack of expertise toModels & techniques
Knowledge management
IdentificationUse
58Projection of stand development increases knowledge baseModels & techniques
Knowledge management
Generation
Identification
Learning
Use
59Analysis at the landscape level allowed the integration of concerns about multiple resources as wellModels & techniques
Knowledge management
ApplicationUse
65Stakeholders contribution in ranking forest functionsParticipation
Knowledge management
TransferTransparency
67The software did not provide much support for formatting of the outputs in a format that could beParticipation
Knowledge management
Application
Transfer
68The analysis team used internal prototyping, which helped train the staff and identify possibleParticipation
Knowledge management
Application
69Spatial variation between regions led to the development of different regional models, which led toParticipation
Knowledge management
Generation
70An iterative process of presenting results to subject matter experts enabled them to betterParticipation
Knowledge management
Generation
Transfer
Structure process
71DSS helped document and apply decision criteria consistently, and therefore produced a moreParticipation
Knowledge management
EvaluationStructure process
Transparency
72The use of the DSS improved communication among the planning team by providing a framework of theParticipation
Knowledge management
Generation
Transfer
73The DSS gave the forest manager the opportunity to experiment how their emphasis towards certainParticipation
Knowledge management
Application
74DSS allowed to explain better some technical concepts to non-professional stakeholdersParticipation
Knowledge management
TransferTransparency
75End user engagement throughout the development and deployment cycle is very importantParticipation
Knowledge management
Generation
Transfer
Learning
76Visualization of the preliminary actor network made the people explicity include the DSS in a planning processKnowledge management
Participation
Storage
Transfer
77Use of the DSS has been considered successful by the participating organizations, even though it hasParticipation
Knowledge management
Transfer
Evaluation
78Interpretative case studies can help reduce the gap between research and practiceKnowledge management
Participation
Transfer
Evaluation
79SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain andParticipation
Knowledge management
TransferTransparency
80Running the DSS required special skills, therefore the local planning team required considerableParticipation
Knowledge management
Application
Transfer