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Expansion Decisions for Cafe Aroma Instructions Week 6 Project: Navigating Expansion Decisions for Cafe Aroma ( CO 3 & CO 4 ) We are back

Expansion Decisions for Cafe Aroma
Instructions
Week 6 Project: Navigating Expansion Decisions for Cafe Aroma (CO3 & CO4) We are back with Cafe Aroma and it even more of a popular local coffee shop with a loyal customer base in its hometown, Elmville. Due to its success, the management is considering expanding to other towns. They have identified three potential locations: MapleTown, PineCity, and OakVille.
The Dilemma:
Each location comes with its own set of challenges, costs, and potential revenue. MapleTown has a bustling student population, PineCity is a business hub, and OakVille is a growing suburban community. The management needs to decide whether to expand (and if so, where) or continue focusing on their single, successful location.
Provided Data:
MapleTown:
Initial Investment: $80,000
Expected Annual Revenue:
High (Probability 0.4): $150,000
Medium (Probability 0.5): $100,000
Low (Probability 0.1): $40,000
PineCity:
Initial Investment: $100,000
Expected Annual Revenue:
High (Probability 0.3): $180,000
Medium (Probability 0.6): $110,000
Low (Probability 0.1): $50,000
OakVille:
Initial Investment: $70,000
Expected Annual Revenue:
High (Probability 0.5): $130,000
Medium (Probability 0.4): $90,000
Low (Probability 0.1): $30,000
Your Task:
Decision Analysis:
Use the principles of decision analysis to evaluate each expansion option. Consider the initial investment, expected revenues, and associated probabilities.
EMV and Decision Trees:
Construct a decision tree for the expansion decision using Excel and, if available, the PrecisionTree Add-In.
Calculate the Expected Monetary Value (EMV) for each decision alternative.
Risk Aversion Considerations:
Based on the management's risk appetite (you can define this or provide multiple scenarios), provide recommendations. Should 'Cafe Aroma' expand? If so, which town offers the most strategic advantage?
Reflection:
Discuss the challenges faced during this decision-making process. How did the tools from this week's module aid in your analysis? Would the decision change significantly if the management was highly risk-averse or risk-seeking?

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