Decision Making: Process, Types, Conditions & Styles

TAKEAWAYS:

• Decision-making is a structured process (intelligence, design, choice, implementation) that managers use to solve problems and exploit opportunities.
• Decisions are classified as programmed (routine, repetitive) or non-programmed (unique, unstructured), each requiring different approaches.
• Three conditions (certainty, risk, uncertainty) determine the complexity of decision-making and the need for data or intuition.
• Decision-making styles (rational, intuitive, satisficing, incremental) influence outcomes based on the manager’s personality and situation.
• Real-world applications include eSewa’s fraud detection (risk-based decisions), Nabil Bank’s loan approvals (programmed decisions), and Pathao’s route optimization (certainty-based decisions).
• Ethical and social responsibility considerations must be integrated into decision-making to align with stakeholder expectations.

1. Definition and Importance of Decision-Making

Decision-making is the cognitive process through which managers identify problems or opportunities, evaluate alternatives, and select the best course of action. It is the core function of management because:

• It drives problem-solving (e.g., reducing costs, improving efficiency).
• It enables opportunity exploitation (e.g., launching new products like Daraz’s "Daraz Mart").
• It ensures resource allocation (e.g., NTC’s budget for network expansion).
• It shapes organizational strategy (e.g., Ncell’s decision to partner with Meta for internet services).

2. The Rational Decision-Making Process

The classical model of decision-making assumes managers are logical and use a structured approach. It consists of four stages:

flowchart TD
    A["1. Intelligence: Identify Problem/Opportunity"] --> B["2. Design: Develop Alternatives"]
    B --> C["3. Choice: Evaluate & Select Best Alternative"]
    C --> D["4. Implementation: Execute Decision"]
    D -->|"Feedback"| A

Step-by-Step Breakdown

Worked Example: Nabil Bank’s Loan Approval

1. Intelligence: A customer applies for a ₹50 lakh home loan.
2. Design: Nabil considers:
   • Approving the loan (high risk but good for business).
   • Rejecting the loan (low risk but loses customer).
   • Offering a smaller loan (compromise).
3. Choice: Uses a scoring model (credit score, income stability, collateral) to approve ₹40 lakh.
4. Implementation: Disburses the loan and monitors repayment behavior.

3. Types of Decisions

Decisions are classified based on structure, frequency, and complexity:

A. Programmed vs. Non-Programmed Decisions

Past Exam Link:

"Give an example of a programmed decision." Answer: "Approving a salary advance for an employee based on company policy" is a programmed decision because it follows a predefined rule (e.g., "Employees with 5+ years of service can get a ₹50,000 advance").

B. Strategic, Tactical, and Operational Decisions

4. Conditions of Decision-Making

The environmental uncertainty affects how decisions are made:

Real-World Application: Pathao’s Route Optimization

• Condition: Risk (traffic patterns are known but variable).
• Decision: Uses AI algorithms to predict demand and optimize driver routes.
• Outcome: Reduces delivery time by 30% and increases driver earnings.

5. Decision-Making Styles

Managers use different approaches based on personality and situation:

6. Factors Influencing Decision-Making

7. Common Decision-Making Biases

Even rational managers fall prey to cognitive biases:

8. Decision-Making Models

Three key models explain how decisions are made in practice:

## In the Real World

1. eSewa’s Fraud Detection (Risk-Based Decision-Making)

   • Idea Used: Decision-making under risk (probabilistic models).
   • How: eSewa uses machine learning to flag suspicious transactions (e.g., unusual locations, high-frequency payments). If the risk score exceeds a threshold, the transaction is blocked or requires manual review.
   • Outcome: Reduces fraud by 40% while maintaining user trust.

2. Nabil Bank’s Loan Approval (Programmed Decisions)

   • Idea Used: Structured, rule-based decisions.
   • How: Loans are approved based on predefined criteria:
     • Credit score > 650.
     • Income-to-debt ratio < 40%.
     • Collateral value ≥ loan amount.
   • Outcome: Standardizes lending, reduces human bias, and speeds up processing.

3. Pathao’s Dynamic Pricing (Certainty-Based Optimization)

   • Idea Used: Decision-making under certainty (predictive algorithms).
   • How: Pathao adjusts ride prices in real-time based on:
     • Demand (e.g., surge pricing during Dashain).
     • Driver availability.
     • Traffic data from Google Maps.
   • Outcome: Balances driver earnings and customer costs while maximizing rides.

4. Daraz’s Warehouse Expansion (Strategic Decision)

   • Idea Used: Non-programmed, strategic decision.
   • How: Daraz analyzed:
     • Market growth in rural areas (e.g., Chitwan, Dhangadi).
     • Competitor presence (Amazon India’s expansion).
     • Logistics costs (proximity to highways).
   • Outcome: Opened 10 new warehouses in 2023, increasing delivery speed by 25%.

## Exam Tip

Based on past TU exam patterns, here’s how to score full marks on this unit:

1. Case Study Analysis (10-15 Marks)

• Structure your answer using the rational decision-making process:
  1. Problem Identification: What issue does the case highlight?
  2. Alternatives: List 2-3 options the company could take.
  3. Evaluation: Use a pro/con table to compare alternatives.
  4. Recommendation: Justify your choice with data, ethics, or strategy.
• Example Question:

  "The Giant Super Stores (TGSS) faces declining profits. Analyze the decision-making process involved in reviving profitability." Answer Framework:

  • Intelligence: Falling sales (data), competitor analysis (e.g., Daraz undercutting prices).
  • Design:
    • Option 1: Reduce prices (risk: lower margins).
    • Option 2: Improve customer service (cost: training).
    • Option 3: Launch a loyalty program (long-term gain).
  • Choice: Use a weighted scoring model (e.g., cost 40%, customer impact 30%, feasibility 20%).
  • Implementation: Pilot the loyalty program in Kathmandu first.

2. Short Answer Questions (5 Marks Each)

• Memorize these key definitions:
  • Programmed Decision: "A repetitive decision that follows established rules or procedures."
  • Bounded Rationality: "Managers make decisions that are ‘good enough’ due to limited information and time."
  • Risk: "A decision condition where probabilities of outcomes are known but not certain."
• For "explain" questions, use bullet points + examples:

  "Explain the steps in rational decision-making." Answer:

  • Intelligence: Monitor sales data → Identify 20% drop in Q2.
  • Design: Brainstorm → Price cut, promotions, new products.
  • Choice: Evaluate → Price cut (low risk, quick impact).
  • Implementation: Roll out discount → Track sales recovery.

3. Compare and Contrast (7-10 Marks)

• Use tables for clarity. Example:

  "Compare programmed and non-programmed decisions."

  Aspect	Programmed	Non-Programmed
  Example	Approving overtime (HR policy).	Deciding to enter a new market.
  Decision-Maker	Lower-level staff.	Top management.
  Time Taken	Minutes/hours.	Weeks/months.
  Flexibility	Low (follows rules).	High (customized).

4. Application Questions (5-8 Marks)

• Link theory to real-world scenarios:

  "How does NTC use decision-making under uncertainty?" Answer:

  • Condition: Uncertainty (5G adoption rates unknown).
  • Process:
    1. Intelligence: Market research shows 60% of urban users want 5G.
    2. Design:
       • Option 1: Full Kathmandu rollout (high cost).
       • Option 2: Pilot in Pokhara first (lower risk).
    3. Choice: Chose incremental rollout (Pokhara → Lalitpur → Kathmandu).
    4. Implementation: Monitored user uptake and adjusted infrastructure.

5. Avoid Common Mistakes

• ❌ Vague answers: Don’t write "managers make decisions." Instead, explain how (e.g., "using SWOT analysis").
• ❌ Ignoring ethics: Always mention social responsibility if the case involves stakeholders (e.g., employees, customers).
• ❌ Overcomplicating: Stick to 3-4 key points for short answers.

Final Tip: Draw diagrams in exams where possible (e.g., decision trees, flowcharts). Even if not marked, it shows structured thinking and can earn partial credit. For case studies, use bullet points for clarity—examiners prefer concise, well-organized answers over long paragraphs.