It is hard to study problems where boundedly rational stakeholders determine important decisions in the system. This is because the dynamics of boundedly rational social cognition and social influence are complex and because data about stakeholder mental models and social networks are difficult to elicit, organize, and test. The proposed method to study these kinds of problems combines data elicitation techniques from stakeholder management, theories of boundedly rational social cognition and social influence, and a system dynamics simulation model. This method takes rough qualitative stakeholder data, organizes it into stakeholder diagrams, and uses it to parametrically populate existing system dynamics structure. This allows the researcher to quantitatively simulate complex stakeholder-centric problems where data quality is poor.

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Date created

• 2009 July 26-2009 July 30

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

4818cb531cdd68d6ec6af3f291216fc7

Scope and Contents

Part of

b3584c6b53c3f58e0202549d7d851f84

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

Scope and Contents

Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives