Decision Making: Models, Techniques & Real-World Applications

TAKEAWAYS:

• Decision-making is the core managerial function that bridges planning and action, requiring structured analysis of alternatives.
• The classical model assumes perfect information and rationality, while the administrative model (Simon) acknowledges human limitations (bounded rationality).
• Decision-making techniques (SWOT, cost-benefit, decision trees) help managers evaluate risks and optimize choices in hospitality.
• Group decision-making improves creativity but risks conflicts; techniques like Delphi or nominal group reduce biases.
• Ethical dilemmas (e.g., hiring vs. automation) require balancing profit, legality, and social responsibility.
• Real-world applications in Nepal include Nepal Rastra Bank’s monetary policy decisions (cost-benefit analysis) and hotel managers’ staffing choices (decision trees).

1. Definition and Importance of Decision-Making

Decision-making is the process of identifying problems, evaluating alternatives, and selecting the best course of action to achieve organizational goals. In hospitality, it ranges from:

• Strategic: Opening a new hotel in Pokhara (location, investment).
• Tactical: Menu pricing at a restaurant (cost vs. customer appeal).
• Operational: Staff scheduling during peak seasons.

Why it matters in hospitality?

• High uncertainty: Demand fluctuates (e.g., post-lockdown tourism).
• High stakes: Poor decisions (e.g., overbooking) damage reputation.
• Ethical trade-offs: Balancing guest privacy (e.g., facial recognition in hotels) vs. security.

2. Decision-Making Models: A Comparison

Three dominant models explain how decisions are made, each with strengths and weaknesses.

Model 1: Classical (Rational) Model

Assumptions:

• Perfect information available.
• Clear, logical alternatives.
• Rational choice by decision-makers.

Steps:

Example: A 5-star hotel in Kathmandu must decide whether to install automated check-in kiosks (cost: NPR 5M) vs. hiring 2 more receptionists (cost: NPR 4.8M/year).

• Pros: Faster service, lower long-term labor costs.
• Cons: Higher upfront cost, potential guest resistance to tech.

Limitations:

• Rarely is information perfect (e.g., predicting guest arrival patterns).
• Time constraints prevent exhaustive analysis.

Model 2: Administrative (Simon’s Bounded Rationality)

Key Idea: Managers make "satisficing" (good enough) decisions due to:

• Limited information (e.g., incomplete market data).
• Cognitive biases (e.g., overconfidence in past success).
• Time pressure (e.g., last-minute staffing for a festival).

Example: A Nepali restaurant chain (e.g., Momo Garden) must decide whether to expand to Bhaktapur based on:

• Available data: Sales in Lalitpur (limited to urban demographics).
• Assumptions: "Bhaktapur has similar tourist traffic" (ignoring local preferences).
• Result: A satisficing choice—opening a smaller outlet with lower risk.

Advantages:

• Realistic for dynamic industries like hospitality.
• Encourages adaptive strategies.

Disadvantages:

• May lead to suboptimal long-term choices.

Model 3: Behavioral Model

Focuses on human psychology in decision-making:

• Intuition: Experienced managers (e.g., Himalayan Java’s CEO) rely on gut feeling.
• Groupthink: Pressure to conform (e.g., all staff agreeing to a new menu without guest feedback).
• Escalation of commitment: Sticking to a failing decision (e.g., a hotel continuing a poorly reviewed spa service).

Example: Pathao’s delivery route optimization uses:

• Behavioral nudges: Defaulting to "fastest route" (even if slightly longer) to reduce driver stress.
• Gamification: Rewarding drivers for efficient decisions (e.g., "Top 10% get bonuses").

3. Decision-Making Techniques

4. Group vs. Individual Decision-Making

Example: Nabil Bank’s loan approval uses group decision-making for large loans (e.g., NPR 50M+):

• Pros: Multiple perspectives reduce fraud risk.
• Cons: Slower processing (delays for customers).

5. Ethical Decision-Making in Hospitality

Hospitality managers face ethical dilemmas, such as:

1. Privacy vs. Security:
   • Example: Should a hotel in Thamel install facial recognition at the entrance to prevent theft?
   • Ethical conflict: Guest privacy vs. asset protection.
2. Hiring vs. Automation:
   • Example: A Pokhara resort must choose between hiring local guides (supports community) or using AI-powered tour apps (cheaper).
3. Sustainability vs. Profit:
   • Example: Himalayan Java could use single-use cups (higher profit) or compostable cups (higher cost, eco-friendly).

Framework for Ethical Decisions:

mindmap
  root((Ethical Decision-Making))
    IsItLegal["1. Legal? (Complies with labor laws, privacy rules)"]
    IsItFair["2. Fair? (No discrimination, transparent)"]
    IsItRight["3. Right? (Aligns with company values)"]
    IsItBeneficial["4. Beneficial? (Long-term stakeholder trust)"]

**Case Study: ** Nepal Airlines’ Safety Decisions

• Dilemma: Should they delay flights during monsoon (safety) or operate on schedule (customer convenience)?
• Ethical choice: Prioritized safety, leading to lower short-term profits but higher long-term trust.

6. Real-World Applications in Nepal

Example 1: Nepal Rastra Bank’s Monetary Policy

• Decision: Should NRB increase interest rates to curb inflation?
• Technique Used: Cost-Benefit Analysis
  • Cost: Higher borrowing costs for hotels/restaurants.
  • Benefit: Reduced inflation (stable currency for tourists).
• Outcome: NRB raised rates by 0.5% in 2023, balancing economic growth and stability.

Example 2: Daraz’s Inventory Management

• Decision: Should Daraz overstock winter clothes in Kathmandu?
• Technique Used: Decision Tree
  • Option 1: Order 10,000 units (high risk of unsold stock).
  • Option 2: Order 5,000 units (risk of stockouts).
• Solution: Used machine learning to predict demand, reducing waste by 30%.

Example 3: Kathmandu Traffic Police’s Route Optimization

• Decision: Should traffic lights in Thamel be synchronized?
• Technique Used: SWOT Analysis
  • Strengths: Reduces congestion (faster ambulance access).
  • Weaknesses: Higher initial cost (NPR 20M).
  • Opportunity: Improved tourist experience (higher hotel bookings).
  • Threat: Driver resistance to change.
• Outcome: Implemented smart traffic systems, reducing delays by 25%.

7. Common Decision-Making Biases

8. Case Study: Himalayan Java’s Coffee Bean Sourcing

Problem: Should Himalayan Java source beans from Ethiopia (higher quality, higher cost) or local Nepalese farms (cheaper, lower quality)?

Decision-Making Process:

1. SWOT Analysis:
   • Strengths: Ethical branding (local sourcing).
   • Weaknesses: Lower bean quality affects taste.
   • Opportunity: Premium pricing for Ethiopian beans.
   • Threat: Supply chain risks (e.g., Ethiopian droughts).
2. Cost-Benefit Analysis:
   • Ethiopian beans: +20% cost, +30% customer satisfaction.
   • Local beans: -10% cost, -15% customer satisfaction.
3. Ethical Consideration: Supporting local farmers aligns with CSR goals.
4. Final Decision: Hybrid model—60% Ethiopian, 40% local—to balance quality and ethics.

Outcome: Increased repeat customers by 25% and local farmer partnerships.

In the Real World

1. eSewa’s Payment Gateway Decisions

   • Idea Used: Risk Assessment (Decision Trees)
   • How: eSewa evaluates whether to allow a new merchant (e.g., a small hotel in Chitwan) based on:
     • Transaction history (low risk = approve).
     • Fraud patterns (high risk = manual review).
   • Impact: Reduces fraud by 40% while expanding user base.

2. Ncell’s Network Expansion

   • Idea Used: Cost-Benefit + SWOT Analysis
   • How: Deciding to expand 5G in Pokhara involved:
     • Cost: Tower installation (NPR 500M).
     • Benefit: Higher data revenue from tourists.
     • SWOT: Strength (Ncell’s brand), Weakness (high initial cost), Opportunity (government subsidies), Threat (competition from NTC).
   • Outcome: 30% increase in rural data users post-expansion.

3. Nepal Stock Exchange (NEPSE) Investor Alerts

   • Idea Used: Behavioral Nudging
   • How: NEPSE uses color-coded alerts (green = buy, red = sell) to influence investor decisions.
   • Impact: Reduces panic selling during market drops by 20%.

Exam Tip

How This Unit is Tested

1. Definitions & Concepts (20%):

   • Expect short-answer questions on:
     • Difference between classical and administrative models.
     • Bounded rationality (Simon’s concept).
     • Ethical decision-making frameworks.

2. Scenario-Based Questions (30%):

   • Case studies will ask you to:
     • Apply SWOT or cost-benefit analysis to a given scenario (e.g., a Pokhara resort’s decision to add a spa).
     • Draw a decision tree for a simple problem (e.g., whether to hire seasonal staff).
   • Example Question:

     "A 3-star hotel in Bhaktapur is deciding whether to install a rooftop bar. Using the cost-benefit analysis technique, evaluate the pros and cons."

3. Comparative Analysis (25%):

   • Compare group vs. individual decision-making or rational vs. behavioral models in a table or short essay.

4. Ethical Dilemmas (15%):

   • Short-answer or essay questions on:
     • How would you handle a conflict between profit and sustainability in a hotel?
     • Is it ethical for a restaurant to use AI to monitor employee productivity?

5. Diagrams (10%):

   • Draw and explain:
     • A decision tree for a given problem.
     • A SWOT analysis for a Nepali hospitality business (e.g., Hotel Himalaya).

How to Score Full Marks

✅ Use real examples (e.g., Nepal Airlines, Daraz, Himalayan Java) to illustrate concepts. ✅ Structure answers clearly:

• For scenario questions, follow:
  1. Problem Identification
  2. Alternatives
  3. Analysis (SWOT/Cost-Benefit)
  4. Recommendation ✅ Draw diagrams neatly (even if not perfect, show effort). ✅ Link to hospitality—examiners love Nepal-specific examples. ✅ For ethical questions, use the 4-step framework (Legal? Fair? Right? Beneficial?).

Practice Question (Try This!)

Scenario: You are the manager of Hotel Everest View in Kathmandu. Due to the post-earthquake decline in tourism, you must decide whether to:

• Option A: Reduce staff by 20% (saves NPR 1.2M/year).
• Option B: Cut marketing budget by 30% (saves NPR 800K/year).
• Option C: Introduce a loyalty program (costs NPR 500K but may increase repeat guests by 15%).

Tasks:

1. Use the administrative model to explain your decision-making process.
2. Apply cost-benefit analysis to evaluate the options.
3. Identify one ethical dilemma in this scenario and propose a solution.

(Hint: Consider guest morale if you fire staff, or long-term brand reputation if you cut marketing.)