ID | Lesson | Has working group theme | Wg3 | Wg2 | Wg1 | Wg4 | 14 | The scope of the modeling project can change significantly during the project | Dss development process Knowledge management | Evaluation | | Projmgt | |
15 | The use of structured output (maps, tables and charts) makes the methodology and the results more | Dss development process Knowledge management | Transfer | | Interface | |
16 | Users preferred enhanced functionality rather than useability | Dss development process Knowledge management | Identification Application | | Interface | |
17 | Enlarged decision space | Dss development process Knowledge management | Generation | | Projmgt | |
18 | It is necessary to know which data will be use as variables in the models before designing the DSS | Dss development process Knowledge management | Identification Storage | | Problem specification | |
19 | Provide missing help-documentation service | Dss development process Knowledge management | Transfer | | Documentation | |
42 | To meet the needs of customer - the Forest Service - and to obtain satisfying results the | Dss development process Participation Knowledge management | Identification | | Participation Communication Transfer | |
43 | The DSS models built must match the knowledge of the local forest managers, so the ability for local | Dss development process Participation Knowledge management | Identification Transfer | | Architecture | |
44 | SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders | Dss development process Participation Knowledge management | Transfer | | Participation | Decision process Learning |
45 | The use of EMDS allowed the planning team to identify priority area for restoration treatments that | Knowledge management | Application | | | |
46 | Requirement of specialized skills can discourage some potential users | Knowledge management | Generation Transfer | | | |
47 | The DSS usage enabled the planning team to measure the achievement of the restoration goals | Knowledge management | Application Evaluation | | | |
48 | Model building was rapid, it was assembling the data that took by far the most time | Knowledge management | Application Storage | | | |
49 | Regular ongoing engagement helped maintain interest of users | Knowledge management | Transfer | | | |
55 | Results are always strongly dependent on the quality of the underlying data | Models & techniques Knowledge management | Generation | Effects of data quality | | |
56 | Forest managers have to analyze how their forest management interventions effect the landscape | Models & techniques Knowledge management | Application | Problem formulation | | |
57 | Despite the widely use and acceptance of the DSS there was still a lack of expertise to | Models & techniques Knowledge management | Identification | Use | | |
58 | Projection of stand development increases knowledge base | Models & techniques Knowledge management | Generation Identification | Learning Use | | |
59 | Analysis at the landscape level allowed the integration of concerns about multiple resources as well | Models & techniques Knowledge management | Application | Use | | |
65 | Stakeholders contribution in ranking forest functions | Participation Knowledge management | Transfer | | | Transparency |
67 | The software did not provide much support for formatting of the outputs in a format that could be | Participation Knowledge management | Application Transfer | | | |
68 | The analysis team used internal prototyping, which helped train the staff and identify possible | Participation Knowledge management | Application | | | |
69 | Spatial variation between regions led to the development of different regional models, which led to | Participation Knowledge management | Generation | | | |
70 | An iterative process of presenting results to subject matter experts enabled them to better | Participation Knowledge management | Generation Transfer | | | Structure process |
71 | DSS helped document and apply decision criteria consistently, and therefore produced a more | Participation Knowledge management | Evaluation | | | Structure process Transparency |
72 | The use of the DSS improved communication among the planning team by providing a framework of the | Participation Knowledge management | Generation Transfer | | | |
73 | The DSS gave the forest manager the opportunity to experiment how their emphasis towards certain | Participation Knowledge management | Application | | | |
74 | DSS allowed to explain better some technical concepts to non-professional stakeholders | Participation Knowledge management | Transfer | | | Transparency |
75 | End user engagement throughout the development and deployment cycle is very important | Participation Knowledge management | Generation Transfer | | | Learning |
76 | Visualization of the preliminary actor network made the people explicity include the DSS in a planning process | Knowledge management Participation | Storage Transfer | | | |
77 | Use of the DSS has been considered successful by the participating organizations, even though it has | Participation Knowledge management | Transfer Evaluation | | | |
78 | Interpretative case studies can help reduce the gap between research and practice | Knowledge management Participation | Transfer Evaluation | | | |
79 | SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and | Participation Knowledge management | Transfer | | | Transparency |
80 | Running the DSS required special skills, therefore the local planning team required considerable | Participation Knowledge management | Application Transfer | | | |