EconPapers    
Economics at your fingertips  
 

A “Power and Influence” political archetype: the dynamics of public support

Robert Y. Cavana, Vicky E. Forgie, Marjan van den Belt, John R. Cody, Alvaro J. Romera, Keming Wang and Chris A. Browne

System Dynamics Review, 2019, vol. 35, issue 1, 70-103

Abstract: Systems archetypes are effective in communicating complex behaviour with relatively simple structures, across a wide range of topics. The “power dynamics” between different power holders are critically important in decision making when it comes to formulating and implementing policies. This topic was explored at a four‐day Australasian systems workshop run in New Zealand. A synthesis approach was combined with analytical procedures from system dynamics (SD). Building on Rahn's “Fear and Greed” political archetype, a conceptual “Power and Influence” political archetype was developed. This political archetype shows the impact of public support. It is used to analyse a crowdfunding story in New Zealand. A small SD concept model was subsequently constructed to test this story and evaluate alternative public support scenarios. A library of political archetypes and concept models would be an asset for the field of SD and provide a means of synthesising insights from case studies and social theory. © 2019 System Dynamics Society

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/sdr.1618

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:sysdyn:v:35:y:2019:i:1:p:70-103

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0883-7066

Access Statistics for this article

More articles in System Dynamics Review from System Dynamics Society
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:sysdyn:v:35:y:2019:i:1:p:70-103