The rational model is a decision-making model that emphasizes the importance of gathering and analyzing data before making a decision. It is based on the assumption that decision-makers have all the information they need to make a rational choice.

The intuitive decision-making model is characterized by the use of past experiences and gut feelings to make decisions. It is often used when time is limited or when there is a lack of information.

The political model is a decision-making model that involves bargaining and negotiation among different stakeholders. It is based on the assumption that decision-makers are motivated by their own interests and that they will try to influence the decision-making process to achieve their goals.

The incremental decision-making model focuses on making small, gradual changes to existing policies. It is based on the assumption that decision-makers are more likely to accept changes that are familiar and that do not disrupt the status quo.

The mixed-scanning model is a decision-making model that combines elements of the rational, intuitive, and political models. It is based on the assumption that decision-makers use different strategies depending on the situation and the amount of information available.

The bounded rationality model is based on the idea that decision-makers have limited cognitive capacity and information. This means that they cannot process all the information available to them and must make decisions based on the information they have and the time they have to make the decision.

The satisficing decision-making model aims to make a decision that is good enough, rather than finding the optimal solution. This is because decision-makers often have limited time and resources and cannot afford to consider all possible alternatives.

The prospect theory model incorporates the concept of loss aversion, which suggests that people are more sensitive to losses than to gains. This means that decision-makers may be more likely to avoid losses than to pursue gains.

Game theory focuses on analyzing the interactions between multiple decision-makers who have conflicting interests. It is used to predict the behavior of other decision-makers and to develop strategies that will lead to the best possible outcome for the decision-maker.

Bayesian decision theory assumes that the world is uncertain and that probabilities can be assigned to events. This allows decision-makers to make decisions based on the likelihood of different outcomes and to choose the option that has the highest expected value.

The heuristic decision-making model relies on simple rules and mental shortcuts to make decisions. This is because decision-makers often have limited time and resources and cannot afford to consider all possible alternatives.

The garbage can model of decision-making attempts to explain how decisions are made in chaotic and unpredictable environments. It suggests that decisions are often made based on the availability of resources and opportunities, rather than on a rational analysis of the problem.

The stakeholder theory model emphasizes the importance of considering the values and preferences of stakeholders when making decisions. It suggests that decision-makers should take into account the interests of all stakeholders, not just those who are directly involved in the decision.

The advocacy coalition framework suggests that policy change occurs through the interaction of advocacy coalitions, which are groups of actors who share common beliefs and values and who work together to influence the decision-making process.

The institutional theory model focuses on the role of institutions and structures in shaping decisions. It suggests that decision-makers are constrained by the institutional context in which they operate and that their decisions are influenced by the rules, norms, and values of the institutions they belong to.