Difference between revisions of "The tracing of the actor network supported the identification of the key actors influencing the collaborative DSS implementation and institutionalization"
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{{Lesson | {{Lesson | ||
| + | |ID=62 | ||
|Has statement=The tracing of the actor network supported the identification of the key actors influencing the collaborative DSS implementation and institutionalization | |Has statement=The tracing of the actor network supported the identification of the key actors influencing the collaborative DSS implementation and institutionalization | ||
|Has evidence=By defining the oligoptica of mediators (those actors - people, technologies, and the networks of people and technologies that underlay technologies - that behave in unexpected ways) local networks of actors could be traced through the unexpected changes they can cause. Also we traced the predictable (Intermediary) actors. | |Has evidence=By defining the oligoptica of mediators (those actors - people, technologies, and the networks of people and technologies that underlay technologies - that behave in unexpected ways) local networks of actors could be traced through the unexpected changes they can cause. Also we traced the predictable (Intermediary) actors. | ||
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|Has consequences=It is important to have this understanding so that it is anticipated what it takes to change a stable network of actors ensembled in the current planning process to a new stable network and hence institutionalize the new DSS technologies | |Has consequences=It is important to have this understanding so that it is anticipated what it takes to change a stable network of actors ensembled in the current planning process to a new stable network and hence institutionalize the new DSS technologies | ||
|Has recommendation for action=One could use actor network theory to understand stability of current forest plannin actor network and undertstand what it takes to institutionalize new actant technologies. | |Has recommendation for action=One could use actor network theory to understand stability of current forest plannin actor network and undertstand what it takes to institutionalize new actant technologies. | ||
| − | |||
|Has temporal scale=Long term (strategic) | |Has temporal scale=Long term (strategic) | ||
|Has spatial context=Spatial with neighbourhood interrelations | |Has spatial context=Spatial with neighbourhood interrelations | ||
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|Has decision making dimension=More than one decision maker/stakeholder | |Has decision making dimension=More than one decision maker/stakeholder | ||
|Has country=Germany | |Has country=Germany | ||
| − | |Has related case=Germany | + | |Has related case=Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice |
|Has related lesson=Visualization of the preliminary actor network made the people explicity include the DSS in a planning process. | |Has related lesson=Visualization of the preliminary actor network made the people explicity include the DSS in a planning process. | ||
| − | |||
|Has working group theme=Participation | |Has working group theme=Participation | ||
| + | |Has actor perspective=Developer/Architect, Researcher | ||
| + | |Has DSS development stage=Update | ||
}} | }} | ||
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Latest revision as of 02:35, 9 September 2013
Lesson
| ID | 62 |
|---|---|
| Has statement | The tracing of the actor network supported the identification of the key actors influencing the collaborative DSS implementation and institutionalization |
| Has evidence | By defining the oligoptica of mediators (those actors - people, technologies, and the networks of people and technologies that underlay technologies - that behave in unexpected ways) local networks of actors could be traced through the unexpected changes they can cause. Also we traced the predictable (Intermediary) actors.
To be more concrete, we traced the new and unpredictable technologies that show the impact of climate change and that aid in decision making (as mediators) and the network of people and technologies involved in the current planning process (intermediaries) that will need to drift and accommodate change from a forest planning process that does not to a forest planning process that does include climate change. |
| Has consequences | It is important to have this understanding so that it is anticipated what it takes to change a stable network of actors ensembled in the current planning process to a new stable network and hence institutionalize the new DSS technologies |
| Has recommendation for action | One could use actor network theory to understand stability of current forest plannin actor network and undertstand what it takes to institutionalize new actant technologies. |
| Has domain | |
| Has DSS development stage | Update |
| Has decision stage | |
| Has temporal scale | Long term (strategic) |
| Has spatial context | Spatial with neighbourhood interrelations |
| Has spatial scale | Forest level, Regional/national level |
| Has objectives dimension | Multiple objectives |
| Has goods and services dimension | Market services, Non-market services |
| Has decision making dimension | More than one decision maker/stakeholder |
| Has country | Germany |
| Has reference | |
| Has related DSS | |
| Has related case | Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice |
| Has related lesson | Visualization of the preliminary actor network made the people explicity include the DSS in a planning process. |
| Has other relevant information | |
| Has working group theme | Participation |
| Has DSS development | |
| Has decision support techniques | |
| Has knowledge management processes | |
| Has support for social participation | |
| Has actor perspective | Developer/Architect, Researcher |
| Has researcher role | |
| Has user role | |
| Has developer role |
- has related Lesson:The analysis of the actor network interactions allowed to identify the criticalities to be solved in order to develop the collaborative process, The tracing of the current actor network interactions made the group realize that they need a different kind of stakeholders from what they previously thought
