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Variables Influencing Business Problems Related to SAMS

Franz Weismann
A causal loop diagram illustrating a subset of variables influencing business problems related to the transitioning of the Social Assistance Management System (SAMS) from initial production deployment to steady state.
Inherent in the diagram is a representation of two well-known system dynamics archetypes:
  • Shifting the Burden, represented in the interplay between the B1, B2, and R3 loops, and
  • Limits to Success, represented in the interplay between the B1 and R5 loops.

Finance Government Budget COTS IT Applications Shifting The Burden Limits To Success

  • 5 years 4 months ago

Conflito de Agência e Governança no Brasil

Matheus Baroni
Modelagem Soft sobre o Conflito de Agência e Governança no Brasil. Atividade proposta em Teoria Geral dos Sistemas, ministrada pelo Prof. Antonio Carlos Zambon.
Integrantes:- Edson da Costa Vitor Junior, 170086- Gustavo Batistic Ribeiro, 174028- Huanna Raquel do Nascimento, 174720- Karen E. M. Rodrigues, 177493- Leticia O. C. Tavares, 182047- Matheus Baroni, 184378

Finance Government

  • 3 years 3 months ago

Variables Influencing Business Problems Related to SAMS (+/-)

Franz Weismann
A causal loop diagram illustrating a subset of variables influencing business problems related to the transitioning of the Social Assistance Management System (SAMS) from initial production deployment to steady state.
Inherent in the diagram is a representation of two well-known system dynamics archetypes:
  • Shifting the Burden, represented in the interplay between the B1, B2, and R3 loops, and
  • Limits to Success, represented in the interplay between the B1 and R5 loops.

Finance Government Budget COTS IT Applications Shifting The Burden Limits To Success

  • 5 years 4 months ago

Model of Covid-19 Outbreak in Burnie, Tasmania (Yue Xiang 512994)

Yue Xiang
Simple epidemiological model for Burnie, TasmaniaSIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts  

Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected. So the government's policy is to reduce infections by increasing the number of people tested and starting early. At the same time, it has slowed the economic growth (which, according to the model,  will stop for next 52 weeks).

COVID-19 Coronavirus SIR Model Government Economy Burnie Tasmania UTAS BMA708

  • 2 days 17 hours ago

COVID-19 Outbreak in Burnie Tasmania - Lin Ling 523592

Lin Ling

Overview:

The COVID-19 Outbreak in Burnie Tasmania shows the process of COVID-19 outbreak, the impacts of government policy on both the COVID-19 outbreak and the GDP growth in Burnie.

Assumptions:

We set some variables at fix rates, including the immunity loss rate, recovery rate, death rate, infection rate and case impact rate, as they usually depend on the individual health conditions and social activities.

It should be noticed that we set the rate of recovery, which is 0.7, is higher than that of immunity loss rate, which is 0.5, so, the number of susceptible could be reduced over time.

Adjustments: (please compare the numbers at week 52)

Step 1: Set all the variables at minimum values and simulate

results: Number of Infected – 135; Recovered – 218; Cases – 597; Death – 18,175; GDP – 10,879.

Step 2: Increase the variables of Health Policy, Quarantine, and Travel Restriction to 0.03, others keep the same as step 1, and simulate

results: Number of Infected – 166 (up); Recovered – 249 (up); Cases – 554 (down); Death – 18,077 (down); GDP – 824 (down).

So, the increase of health policy, quarantine and travel restriction will help increase recovery, decrease confirmed cases, decrease death, but also decrease GDP.

Step 3: Increase the variables of Testing Rate to 0.4, others keep the same as step 2, and simulate

results: Number of Infected – 152 (down); Recovered – 243 (down); Cases – 1022 (up); Death – 17,625 (down); GDP – 824 (same).

So, the increase of testing rate will help to increase the confirmed cases.

Step 4: Change GDP Growth Rate to 0.14, Tourism Growth Rate to 0.02, others keep the same as step 3, and simulate

results: Number of Infected – 152 (same); Recovered – 243 (same); Cases – 1022 (same); Death – 17,625 (same); GDP – 6,632 (up).

So, the increase of GDP growth rate and tourism growth rate will helps to improve the GDP in Burnie.

COVID-19 Government Economic

  • 2 days 19 hours ago

Model of Covid-19 Outbreak in Burnie, Tasmania (Yimeng Yao 448253)

Yao Yimeng

Model of Covid-19 Outbreak in Burnie, Tasmania

When reported COVID-19 cases begin to show a rapid increase, the government will initiate control policies to deal with the spread.As the number of people tested increases and measures such as isolation and medical assistance are implemented, the number of people infected will decline rapidly.Therefore, the government's policy is to reduce and eliminate sources of transmission by increasing the number of tests and initiating control measures.At the same time, it also shows the negative impact of economic growth, which according to the model will stop in the next 20 weeks.

COVID-19 Government Economy Burnie Tasmania UTAS BMA708

  • 1 day 18 hours ago

A model of complex relationship between different variables in NIIMS

Shoeb Hussain
The model is unrealistic since it has no measurable values but help in visualizing the complexity of the relationship between NIIMS registration  in Kenya and data protection and service delivery.There are still a number of variations that the Kenyan Government should take into account when making the decisions regarding the protection of their Citizen's data.

Government

  • 1 year 2 months ago

Clone of Variables Influencing Business Problems Related to SAMS

wayne hugo
A causal loop diagram illustrating a subset of variables influencing education problems related to trying to increase workshop engagement.
Inherent in the diagram is a representation of two well-known system dynamics archetypes:
  • Shifting the Burden, represented in the interplay between the B1, B2, and R3 loops, and
  • Limits to Success, represented in the interplay between the B1 and R5 loops.

Finance Government Budget COTS IT Applications Shifting The Burden Limits To Success

  • 10 months 2 weeks ago

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