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Decision making biases and pitfalls. 2023 Best

Decision making biases and pitfalls.

This paper explores decision making biases and pitfalls. Even the most intelligent manager is prone to personal biases and pitfalls that can lead to bad decisions. We all carry biases based on our personal experiences.

Decision making biases and pitfalls.

Paper instructions: Even the most intelligent manager is prone to personal biases and pitfalls that can lead to bad decisions. We all carry biases based on our personal experiences. And we can all fall into various traps that lead to decisions that seem perfectly logical at the time but in retrospect, we see that we should have known better. In the background materials, including Bolland and Fletcher (2012); Kourdi (2003); and Hammond, Keeney, and Raiffa (2008); several specific decision-making biases and pitfalls are discussed. Collectively these are known as cognitive biases.

Decision making biases and pitfalls.

Some of the common pitfalls and biases discussed in these readings include overconfidence bias, confirmation (self-confirming) bias, sunk-cost bias, framing bias, and hindsight bias. Carefully review all three of these readings and make sure you understand the different types of biases. Then read through the scenarios below and think about what kind of biases are demonstrated in each scenario. For each scenario, carefully explain which specific bias or biases is demonstrated by the decision and what can be done to avoid this bias in the future. Make sure to pick at least one specific bias that you read about for each scenario, and explain your reasoning.

Decision making biases and pitfalls.

Use references to at least one of the three required readings from the background materials in your discussion of each scenario below. Your paper should be 4–5 pages in length: 1. The Chief Financial Officer (CFO) of a corporation is of the strong belief that marketing is not a good use of the company’s money. Someone shows her data from several years ago showing that during a period of high spending on marketing, sales did not go up. She says, “See, I told you marketing is not a good use of our budget!” and cuts the marketing budget to almost zero. Following the cut in the marketing budget, sales also start to drop dramatically.

Decision making biases and pitfalls.

When asked by an employee if the drop in sales is due to the cut in the marketing budget, she says, “No!” and insists there must be a different explanation. What kind of decision-making bias do you think this represents, and why? What steps would you recommend to this CEO to reduce this kind of bias? Support your answer with references to at least one of the three background readings. 2. A CEO decides that he wants to greatly expand the company’s market by purchasing a major rival. This acquisition would double the company’s market share.

Decision making biases and pitfalls.

However, several of his top managers warn him that such a purchase would require the company to take out a huge amount of debt to finance this merger, and that many of these large mergers have failed. They also point out that the organizational culture of the other company is very different and that managing this merger would be very difficult. Nonetheless, the CEO insists that he can overcome the odds and plans to go through with the merger. What kind of decision-making bias do you think this represents, and why?

Decision making biases and pitfalls.

What steps should this leader take to avoid this bias? Support your answer with references to at least one of the three background readings. 3. A CEO wants to purchase a new factory. He is currently deciding between two factories. The owner of Factory A brags that 94% of products produced at the factory are free of defects. The owner of Factory B cautions that his factory has a 5% defect rate but management and staff are working very hard to reduce the rate. The CEO decides to purchase Factory A citing its strong 94% rate of success in producing defect-free products even though Factory B actually has a 95% rate of success. https://youtu.be/cAbdmV3VOwA

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