z-logo
Premium
A “Power and Influence” political archetype: the dynamics of public support
Author(s) -
Cavana Robert Y.,
Forgie Vicky E.,
van den Belt Marjan,
Cody John R.,
Romera Alvaro J.,
Wang Keming,
Browne Chris A.
Publication year - 2019
Publication title -
system dynamics review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.491
H-Index - 57
eISSN - 1099-1727
pISSN - 0883-7066
DOI - 10.1002/sdr.1618
Subject(s) - archetype , politics , field (mathematics) , power (physics) , system dynamics , asset (computer security) , dynamics (music) , computer science , sociology , management science , public relations , political science , engineering , computer security , artificial intelligence , law , mathematics , art , physics , literature , quantum mechanics , pure mathematics , pedagogy
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

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom