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A Complex Systems Simulation Study f...
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Ram, Kadambari.
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A Complex Systems Simulation Study for Increasing Adaptive Capacity = = Eine komplexe Systemsimulationsstudie zur Erhohung der Anpassungsfahigkeit.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Complex Systems Simulation Study for Increasing Adaptive Capacity =/
其他題名:
Eine komplexe Systemsimulationsstudie zur Erhohung der Anpassungsfahigkeit.
作者:
Ram, Kadambari.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:
218 p.
附註:
Source: Dissertations Abstracts International, Volume: 79-06, Section: B.
Contained By:
Dissertations Abstracts International79-06B.
標題:
Sustainability. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10642558
ISBN:
9780355471519
A Complex Systems Simulation Study for Increasing Adaptive Capacity = = Eine komplexe Systemsimulationsstudie zur Erhohung der Anpassungsfahigkeit.
Ram, Kadambari.
A Complex Systems Simulation Study for Increasing Adaptive Capacity =
Eine komplexe Systemsimulationsstudie zur Erhohung der Anpassungsfahigkeit. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 218 p.
Source: Dissertations Abstracts International, Volume: 79-06, Section: B.
Thesis (Ph.D.)--Walden University, 2017.
This item must not be sold to any third party vendors.
Examination of empirical research confirmed that climate change is a complex problem of anthropological origin and revealed the need for a management framework to facilitate strategic decisions aimed at mitigating a rise in global temperatures of 2°C linked to irresponsible and unsustainable business practices. The purpose of this simulation study was to develop a management framework of resilience, robustness, sustainability, and adaptive-capacity (RRSA) for organizations viewed as complex systems to address the current unsustainable state. As such, the evolutionary-RRSA prisoner's dilemma (PD) simulation was developed using an evolutionary game theory approach to agent based modeling and simulation, to generate data. Regression analyses tested the relationships between organizational resilience (x1), robustness (x2), and sustainability (x3) as independent variables, and the dependent variable of adaptive capacity (y) for cooperative and defective strategies. The findings were that complex nonlinear relationships exist between resilience, robustness, sustainability, and adaptive-capacity, which is sensitive to initial conditions and may emerge and evolve from combinations of cooperative and defective decisions within the evolutionary RRSA PD management tool. This study resulted in the RRSA management framework, a cyclical 4-phased approach, which may be used by climate governance leaders, negotiators, and policy-makers to facilitate strategy to move global climate change policy forward by guiding bottom-up consumption and production of GHGs, thereby improving adaptive-capacity, while mitigating an increase in global temperatures of 2°C, which in turn would improve global socio-economic conditions.
ISBN: 9780355471519Subjects--Topical Terms:
1029978
Sustainability.
Subjects--Index Terms:
Adaptive-capacity
A Complex Systems Simulation Study for Increasing Adaptive Capacity = = Eine komplexe Systemsimulationsstudie zur Erhohung der Anpassungsfahigkeit.
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Examination of empirical research confirmed that climate change is a complex problem of anthropological origin and revealed the need for a management framework to facilitate strategic decisions aimed at mitigating a rise in global temperatures of 2°C linked to irresponsible and unsustainable business practices. The purpose of this simulation study was to develop a management framework of resilience, robustness, sustainability, and adaptive-capacity (RRSA) for organizations viewed as complex systems to address the current unsustainable state. As such, the evolutionary-RRSA prisoner's dilemma (PD) simulation was developed using an evolutionary game theory approach to agent based modeling and simulation, to generate data. Regression analyses tested the relationships between organizational resilience (x1), robustness (x2), and sustainability (x3) as independent variables, and the dependent variable of adaptive capacity (y) for cooperative and defective strategies. The findings were that complex nonlinear relationships exist between resilience, robustness, sustainability, and adaptive-capacity, which is sensitive to initial conditions and may emerge and evolve from combinations of cooperative and defective decisions within the evolutionary RRSA PD management tool. This study resulted in the RRSA management framework, a cyclical 4-phased approach, which may be used by climate governance leaders, negotiators, and policy-makers to facilitate strategy to move global climate change policy forward by guiding bottom-up consumption and production of GHGs, thereby improving adaptive-capacity, while mitigating an increase in global temperatures of 2°C, which in turn would improve global socio-economic conditions.
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