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
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|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.
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|Has domain=Ongoing development
 
 
|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
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|Has related case=Germany:Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice
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|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.
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|Has actor perspective=Developer/Architect, Researcher
 
 
|Has working group theme=Participation
 
|Has working group theme=Participation
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|Has actor perspective=Developer/Architect, Researcher
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|Has DSS development stage=Update
 
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The Decision Support System has not been given a name yet. It seems to becoming a chain of various decision support systems, models and data.
 

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
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