In the past I had used the rational decision making paradigm to judge. This did not produce the desired outcome. Because it was a more methodical approach to solving the problems, I chose the logical model. Because it only consists of a handful phases, the rational decision-making paradigm can be referred to as a simple one. The first step in identifying the issue is to determine if it is an obstacle to optimal performance. After the issue is identified, objectives are used to determine potential solutions. Third, several possible solutions are generated. In order to find the best possible solution this phase requires empirical evidence and previous experiences. All the options are compared against predetermined criteria. The resulting alternatives are then ranked. Scott (2015). The most optimal alternatives are then selected and implemented. In order to ensure its practicality and viability, the rational decision making model ends with an assessment of each decision’s impact. This approach allows for the creation of many possibilities, and picks the best and most effective answers.
Failure to fully analyze environmental issues was the main reason for the decision’s demise. It is difficult to accurately analyze the external environment aspects, as they are often complex and uncertain. This compromises the outcome of the decision. External influences can have a significant impact on the outcome of the decision. Examples include Covid-19’s predominance and subsequent mobility restrictions. Although the decision model examines many aspects of both internal and external factors, there is always the possibility of failure due to insufficient implementation. Limited rationality is the second cause of failure. This means that decisions are made without having a clear understanding of the problem. Although reasoning was a part of my decision-making process, I found that many choices were influenced by my biases. Individual preferences and temporal constraints also impact bounded rationality (Clancy 2018, 2018).