System Dynamics and Strategy Maps Quiz

A visual representation of a system's cause-and-effect relationships, focusing on how different elements interact and influence each other to achieve a specific goal.

These diagrams use arrows to show how different factors affect each other in a system. Positive arrows mean that increasing one factor increases the other, while negative arrows mean increasing one factor decreases the other.

A key benefit of Strategy Maps is that they help clarify how an organization delivers value to its stakeholders.

Strategy Maps highlight the most important goals and priorities of an organization, serving as a visual guide for focus.

Strategy Maps provide a clear framework to understand individual roles and contributions within an organization, fostering a sense of shared purpose.

A key benefit of using Strategy Maps is to ensure alignment and accountability across different levels of the organization.

Strategy Maps can help eliminate ambiguity and confusion by clearly defining responsibilities and roles within the organization.

By collaborating to build a strategy map, leaders can reach a shared understanding and commitment to the plan.

The idea that decision-makers have limits on their rationality due to factors like incomplete information and cognitive biases. This restricts their ability to make fully rational choices.

A collection of resources, processes, and relationships that work together to achieve a common goal. It can be applied to businesses and organizations.

A representation of how a business process operates over time. It involves identifying key variables, their relationships, and how they influence each other.

Quantities that can change over time, representing aspects of a system. Examples include production rate, inventory levels, and customer demand.

Quantities that represent the state of a system at a specific point in time. These variables accumulate over time, and their values can reflect the system's progress.

A process of analyzing and influencing a system's behavior by changing its structure or parameters. It's about understanding how feedback loops and interactions create specific outcomes.

A circular path where the output of a process feeds back as an input, influencing the process itself. These loops can create stability or instability in a system.

A combination and application of different resources, including physical, human, financial, and intellectual resources.

The VHS and Betamax example demonstrates how a system's behavior can be influenced by the interactions between its components, such as user base size and incentives.

A positive feedback loop amplifies change. When the output of a system increases, the input also increases, leading to further growth.

A negative feedback loop dampens change. When the output of a system increases, the input decreases, leading to stabilization.

By analyzing feedback loops, we can understand how systems evolve over time and predict their future behavior.

A time delay in the response of a system to changes in its input, often leading to oscillations or overshoot.

A state of balance in a system, where all variables remain relatively constant over time.

The limit to growth in a system, acting as a constraint on expansion.

Variables that represent the state of a system at a specific point in time, often accumulated over past actions.

The process of taking action based on information in a system, often used to influence level variables.

The process of gathering information about the state of a system, influencing decisions and actions.

A type of simulation where individual entities, called agents, interact with each other and their environment.

Autonomous entities within an agent-based model that represent real-world objects or individuals.

Rules that define an agent's behavior based on their internal state and environmental factors.

Data stored within an agent's memory that represents its current condition or state.

The ability of agents to perceive and interpret information from their environment.

Actions performed by agents to modify their environment, potentially influencing other agents.

The process where complex patterns emerge from the interactions of many simple agents.

A computer program that simulates the behavior of a system by representing it as a collection of interacting agents.

The difference between the desired and actual production levels, expressed as a numerical value.

The number of working hours dedicated to improving productivity, which is directly influenced by the pressure to improve productivity.

A measure of output per unit of input (usually time or labor) in a production process.

The time spent by workers engaged in producing the desired output. It fluctuates based on the pressure to vary production.

A factor that influences the working hours in production, reflecting the need to adjust production levels to meet demand or other factors.

A calculated value reflecting the need to enhance productivity to meet desired production targets.

A mathematical formula that calculates the actual production based on the productivity level and the number of hours worked in production.

A numerical value representing the desired production level, which can change over time based on demand or other factors.