Business Leader : Entering a new Market Sector

RapidKnowHow > Develop a Decision Tree Analysis : Shall I Enter a New Market Sector Yes or No > in Excel > Step.by.Step > Decision and Explanation

Creating a Decision Tree Analysis in Excel to determine whether to enter a new market sector involves a series of steps that include defining your decision criteria, constructing the decision tree, and analyzing the potential outcomes. Here’s how you can do it step-by-step:

Step 1: Define Your Objectives and Criteria

  1. Objective: Determine whether to enter the new market sector.
  2. Criteria: List factors that will influence your decision, such as:
  • Market Growth Potential
  • Competitive Landscape
  • Entry Costs
  • Potential Revenue
  • Company Resources
  • Regulatory Environment

Step2: List Options and Outcomes

  1. Options:
  • Enter New Market Sector
  • Don’t Enter New Market Sector
  1. Outcomes for Entering: Consider potential outcomes such as:
  • High Revenue
  • Moderate Revenue
  • Low Revenue
  • Loss
  1. Outcomes for Not Entering:
  • Maintain Current Revenue
  • Potential Loss of Market Share

Step 3: Assign Probabilities and Returns

Next, gather data or estimate the probabilities of each outcome and the financial returns associated with them:

For Enter New Market:

    • Probability of High Revenue (e.g., 30%): Return $500,000
    • Probability of Moderate Revenue (e.g., 50%): Return $200,000
    • Probability of Low Revenue (e.g., 15%): Loss $100,000
    • Probability of Loss (e.g.,5%): Loss $300,000

    For Not Entering:

      • Maintain Current Revenue: No change (e.g., return $400,000)
      • Market Share Loss (15%): Change in revenue ($50,000 loss)

      Step4: Calculate Expected Values

      Now, calculate the expected monetary values (EMV) for entering and not entering.

      1. EMV for Entering: [ EMV{\text{enter}} = (P{high} \times Return{high}) + (P{moderate} \times Return{moderate}) + (P{low} \times Return{low}) + (P{loss} \times Loss_{loss}) ]

      Using values from your probabilities and returns: [ EMV_{\text{enter}} = (0.30 \times 500,000) + (0.50 \times200,000) + (0.15 \times -100,000) + (0.05 \times -300,000) ]

      1. EMV for Not Entering: [ EMV{\text{not enter}} = (P{maintain} \times Return{maintain}) + (P{lossshare} \times Loss{lossshare}) ] Using: [ EMV{\text{not enter}} = (0.85 \times 400,000) + (0.15 \times -50,000) ]

      Step 5: Build the Decision Tree in Excel

      1. Open Excel.
      2. Create a Table:
      • In a new worksheet, create the structure of your decision tree. Use rows for each decision and its outcomes and the calculated EMVs in adjacent columns.

      Example table layout:

      1. Use Formulas:
      • In the EMV column, calculate the value based on the probabilities and returns (as shown above).
      1. Sum EMVs:
      • Create a total row for the EMVs of the decision to enter and not enter:
      • =SUM(range of EMVs for entering) for the ‘Enter’ option.
      • =SUM(range of EMVs for not entering) for the ‘Not Enter’ option.

      Step 6: Analyze and Make a Decision

      1. Compare EMVs:
      • Look at the total EMVs for your decision options:
      • If EMV(Enter) > EMV(Not Enter), it might be advisable to enter the new market.
      • If EMV(Not Enter) > EMV(Enter), consider staying out of the market.

      Step 7: Visual Representation (Optional)

      1. Insert Shapes: Use shapes (ovals, arrows) to visually represent your decision tree directly on the worksheet.
      2. Charting: Consider using Excel’s chart features to create a thicker visual representation.

      Conclusion

      By following these steps, you can structure a decision tree analysis in Excel to guide your decision-making regarding entering a new market sector. Always remember to continuously refine the probabilities and outcomes as you gather more data and insights.

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