Principles of ManagementUnit 312 min read
Decision Making: Process, Styles & Techniques
Unit 3 of Principles of Management: Explores the decision-making process, types of decisions (certainty/risk/uncertainty), group vs. individual decision-making, decision-making styles, and techniques like SWOT, PESTLE, and brainstorming—with real-world ties to Nepal’s eSewa, Daraz, and NTC.
TAKEAWAYS:
- Decision-making is a structured process with steps from identifying problems to evaluating alternatives.
- Certainty, risk, and uncertainty define the decision environment, each requiring different techniques.
- Group decision-making improves creativity but risks conflict; individual decisions are faster but may lack input.
- Decision-making styles (directive, analytical, behavioral, conceptual) shape how managers approach problems.
- Techniques like SWOT, PESTLE, and Delphi method help analyze and solve complex problems.
- Real-world applications include Daraz’s inventory decisions, NTC’s network upgrades, and eSewa’s fraud prevention.
1. Definition and Importance of Decision Making
Decision-making is the cognitive process of selecting a course of action from multiple alternatives to achieve a desired outcome. It is the core function of management because every managerial activity—planning, organizing, leading, and controlling—relies on decisions.
Why is it critical?
- Determines organizational success or failure.
- Affects resource allocation (time, money, human effort).
- Influences customer satisfaction (e.g., Daraz’s delivery decisions).
- Drives innovation (e.g., NTC’s 5G rollout).
2. The Decision-Making Process
The process is cyclical and involves 6 key steps:
flowchart TD
A["1. Identify the Problem"] --> B["2. Gather Information"]
B --> C["3. Identify Alternatives"]
C --> D["4. Evaluate Alternatives"]
D --> E["5. Choose the Best Alternative"]
E --> F["6. Implement the Decision"]
F --> G["7. Evaluate the Outcome"]
G -->|"Feedback"| AWorked Example: Daraz’s Inventory Decision Problem: Daraz notices a 30% drop in sales for winter coats in Kathmandu. Step 1: Identify the problem (low demand). Step 2: Gather data (weather forecasts, competitor stock, customer reviews). Step 3: Alternatives:
- Reduce stock by 50%.
- Offer discounts to clear inventory.
- Shift focus to summer products. Step 4: Evaluate (cost vs. revenue, customer retention). Step 5: Choose discount strategy. Step 6: Implement (promotional campaigns). Step 7: Evaluate (sales increase by 15%, profit margin improves).
3. Types of Decision-Making Environments
Decisions are made under three conditions:
| Type | Definition | Example (Nepal) | Techniques Used |
|---|---|---|---|
| Certainty | Full information available; no uncertainty. | NTC’s fixed monthly data plan pricing. | Cost-benefit analysis. |
| Risk | Probabilities can be assigned (e.g., 70% chance of success). | Pathao’s surge pricing during monsoon. | Decision trees, expected value calculations. |
| Uncertainty | Incomplete or ambiguous information. | eSewa’s new fraud detection algorithm rollout. | SWOT analysis, brainstorming. |
Visual: Key Insight:
- Certainty → Routine decisions (e.g., Ncell’s monthly bill structure).
- Risk → Strategic decisions (e.g., Nabil Bank’s loan interest rate adjustments).
- Uncertainty → Innovative decisions (e.g., Daraz’s expansion into rural areas).
4. Group vs. Individual Decision Making
Group Decision Making
- Definition: Decisions made by 2+ people (teams, committees).
- Advantages:
- Wider perspectives and creativity.
- Higher acceptance of decisions.
- Reduced bias (e.g., NTC’s regulatory committee).
- Disadvantages:
- Time-consuming (e.g., NEPSE’s board meetings).
- Groupthink (e.g., Himalayan Java’s slow response to market trends).
- Conflict risk (e.g., labor disputes at Chaudhary Group).
Individual Decision Making
- Definition: Decisions made by one person (managers, CEOs).
- Advantages:
- Faster (e.g., Daraz’s founder’s quick inventory cuts).
- Less political interference.
- Disadvantages:
- Limited input (e.g., Ncell’s slow 5G adoption due to single-decision maker).
- Biased judgments.
Comparison Table:
| Aspect | Group Decision Making | Individual Decision Making |
|---|---|---|
| Speed | Slow (consensus needed) | Fast (single decision-maker) |
| Quality | Higher (diverse input) | Lower (subjective bias) |
| Acceptance | High (team ownership) | Low (if team feels excluded) |
| Cost | Higher (meeting costs, time) | Lower (direct action) |
| Example (Nepal) | NEPSE’s board approving new stock listings. | Daraz’s founder canceling a failed product. |
5. Decision-Making Styles
Managers use different styles based on personality and situation. The Vroom-Yetton Model classifies them into 5 styles:
mindmap
root((Decision-Making Styles))
Directive (AI)
- Manager makes decision alone.
- Example: NTC’s CEO approving a new fiber-optic route.
Consultative (CI)
- Manager seeks input but decides alone.
- Example: Nabil Bank’s branch manager adjusting loan terms.
Group (GII)
- Manager presents problem to group, group decides.
- Example: NEPSE’s committee setting dividend policies.
Consensus (GIII)
- Manager facilitates group discussion until unanimous agreement.
- Example: Chaudhary Group’s family council on new ventures.
Delegative (GD)
- Group makes decision without manager’s input.
- Example: Daraz’s regional team adjusting local promotions.Worked Example: NTC’s 5G Rollout
- Style Used: Consultative (CI)
- Why?
- NTC’s CEO consulted with technical teams (risk assessment).
- Final decision was top-down (to avoid delays).
- Outcome: Faster rollout than if full group consensus was required.
6. Techniques of Decision Making
A. SWOT Analysis
- Definition: Evaluates Strengths, Weaknesses, Opportunities, Threats.
- Use Case: Daraz’s expansion into India.
- Strengths: Strong logistics network in Nepal.
- Weaknesses: Limited brand recognition in India.
- Opportunities: High e-commerce growth in India.
- Threats: Competition from Flipkart/Amazon.
B. PESTLE Analysis
- Definition: Assesses Political, Economic, Social, Technological, Legal, Environmental factors.
- Use Case: NTC’s 5G network launch.
- Political: Government subsidies for digital infrastructure.
- Economic: Rising smartphone penetration.
- Technological: Emerging 5G standards.
- Legal: Spectrum allocation regulations.
- Environmental: Carbon footprint of new towers.
C. Delphi Method
- Definition: Anonymous expert opinions collected iteratively.
- Use Case: NEPSE’s new trading platform design.
- Step 1: Experts (brokers, analysts) submit ideas anonymously.
- Step 2: Results shared; experts revise opinions.
- Step 3: Consensus reached on key features.
D. Brainstorming
- Definition: Unstructured idea generation (no criticism allowed).
- Use Case: Pathao’s new ride-sharing features.
- Session: Drivers, engineers, and customers suggest ideas.
- Outcome: "Real-time fare adjustments" feature.
7. Decision-Making Errors and Biases
Even smart managers make mistakes. Common cognitive biases:
| Bias | Description | Example (Nepal) |
|---|---|---|
| Confirmation Bias | Favoring info that confirms pre-existing beliefs. | Ncell ignoring customer complaints about slow 4G until competitors report it. |
| Anchoring | Over-relying on the first piece of information. | Nabil Bank setting loan rates based on initial market data, ignoring later trends. |
| Overconfidence | Overestimating one’s ability to predict outcomes. | Daraz’s founder assuming rural delivery would succeed without pilot testing. |
| Sunk Cost Fallacy | Continuing a failing project due to past investments. | Himalayan Java’s continued investment in a failing tea plantation. |
8. In the Real World
eSewa’s Fraud Detection (Uncertainty + SWOT)
- Problem: Rising online fraud in digital payments.
- Decision: eSewa uses machine learning (uncertainty) to detect anomalies.
- SWOT Applied:
- Strength: Large user base for data training.
- Weakness: High implementation cost.
- Opportunity: Partnership with NABIL for cross-verification.
- Threat: Cyberattacks from competitors.
NTC’s Network Upgrades (Risk + Delphi Method)
- Problem: Aging fiber-optic cables causing outages.
- Decision: NTC uses the Delphi method to gather expert opinions on upgrade timing.
- Outcome: Phased rollout to minimize disruption.
Pathao’s Surge Pricing (Risk + Individual Decision)
- Problem: Driver shortages during peak hours.
- Decision: Pathao’s founder (individual) implements surge pricing dynamically.
- Result: Balances demand and supply in real time.
9. Exam Tip
- Focus on the process: Always structure answers using the 6-step decision-making model.
- Compare group vs. individual: Use Nepali examples (e.g., NEPSE vs. Daraz).
- Link techniques to real cases:
- SWOT → Daraz’s India expansion.
- PESTLE → NTC’s 5G.
- Delphi → NEPSE’s trading platform.
- Avoid vague answers: If asked about decision-making styles, cite the Vroom-Yetton model and give a Nepali example.
- For past questions:
- "Group decision making" → Compare with individual, give NTC’s regulatory committee as an example.
- "Certainty/risk/uncertainty" → Use Ncell’s pricing (certainty), Pathao’s surge pricing (risk), eSewa’s fraud detection (uncertainty).
- "Decision-making techniques" → Mention SWOT, PESTLE, Delphi with Daraz/NTC/NEPSE examples.
Final Note: Decision-making is not just theory—it’s how Daraz outcompetes local shops, how NTC stays ahead of Ncell, and how eSewa secures transactions. Master the process, techniques, and biases, and you’ll solve any exam question with confidence.
Based on the TU BIT syllabus for Principles of Management (MGT205), unit 3.
Discussion
Loading…