Principles of ManagementUnit 312 min read
Planning & Decision-Making: Types, Models, Ethics & Digital Impact
Unit 3 of Principles of Management covers the systematic approaches to planning (strategic, operational, contingency) and decision-making (rational, bounded rationality, intuitive), ethical frameworks, and how digital tools transform planning—with real-world cases from Nepali businesses like eSewa and Nabil Bank.
TAKEAWAYS:
- Planning is a purposeful, goal-oriented process that reduces uncertainty and aligns resources (e.g., NTC’s 5-year infrastructure plan).
- Decisions under certainty/uncertainty/risk require different models (e.g., Daraz’s inventory decisions use probabilistic forecasting).
- Ethical decision-making follows criteria like legality, rights, and utilitarian outcomes (e.g., Ncell’s data privacy policies).
- Digital tools (AI, big data) enable predictive planning (e.g., Pathao’s dynamic pricing algorithms).
- SWOT analysis bridges planning and strategy (e.g., Himalayan Java’s expansion into Europe).
- Poor planning leads to wasted resources (e.g., Kathmandu traffic congestion from uncoordinated urban planning).
1. What is Planning?
Planning is the first function of management (POLC: Planning, Organizing, Leading, Controlling). It involves:
- Setting objectives (SMART: Specific, Measurable, Achievable, Relevant, Time-bound).
- Developing policies, procedures, and rules to achieve those objectives.
- Allocating resources (human, financial, technological) efficiently.
Why is Planning Important?
mindmap
root((Why Plan?))
Reduces Uncertainty
Sets Direction
Minimizes Waste
Facilitates Control
Improves Decision-Making
Example["NTC’s 10-year electricity expansion plan"]2. Types of Planning
Planning varies by scope, time, and level in an organization. Here’s a comparison:
| Type | Definition | Example (Nepal) | Advantages | Disadvantages |
|---|---|---|---|---|
| Strategic Planning | Long-term (3–5+ years), organization-wide | Nabil Bank’s 5-year customer growth strategy | Aligns all departments; competitive edge | Rigid; slow to adapt to crises |
| Tactical Planning | Mid-term (1–3 years), departmental | Daraz’s annual marketing budget allocation | Flexible; department-specific goals | Silos may form between departments |
| Operational Planning | Short-term (daily/weekly), task-focused | Pathao’s daily rider payout schedule | Highly actionable; immediate results | Overlooks big-picture goals |
| Contingency Planning | Backup plans for risks | eSewa’s cybersecurity breach response plan | Mitigates crises; ensures continuity | Costly to maintain |
| Directional Planning | Flexible, broad guidelines | Kathmandu Metropolitan City’s traffic policy | Adapts to changing conditions | Lack of clear milestones |
WORKED EXAMPLE: NTC’s Power Grid Expansion
- Problem: Nepal faces frequent power cuts due to mismatched supply/demand.
- Planning Approach:
- Strategic Goal: "Increase electricity generation by 30% in 5 years."
- Tactical Plan: Build 2 new hydropower plants (annual target: 100 MW each).
- Operational Plan: Hire 50 engineers, secure ₹5B funding, and complete Phase 1 in 18 months.
- Contingency Plan: If monsoon delays construction, use solar microgrids as backup.
3. Decision-Making: Models and Conditions
Decisions are made under three conditions, each requiring a different approach:
A. Decision-Making Conditions
| Condition | Definition | Example | Model Used |
|---|---|---|---|
| Certainty | All outcomes and probabilities known | Ncell’s monthly data usage forecasting | Maximization Model (choose best option) |
| Risk | Probabilities known but outcomes uncertain | Daraz’s inventory ordering for Diwali season | Expected Value Model (weighted avg. of outcomes) |
| Uncertainty | No data on probabilities | eSewa’s decision to launch a crypto wallet | Satisficing (good enough solution) or Intuitive Model |
B. Decision-Making Approaches
Rational Model (Classical)
- Assumes perfect information and logical choices.
- Steps:
- Identify problem.
- Gather all alternatives.
- Evaluate each alternative.
- Choose the best option.
- Limitation: Rarely possible in real life (e.g., NEPSE stock prices are unpredictable).
Bounded Rationality (Simon’s Model)
- Managers make satisficing (good enough) decisions due to limited info/time.
- Example: A small hotel in Pokhara may not analyze every competitor’s pricing but adjusts based on weekly bookings.
Intuitive Model
- Relies on experience and gut feeling.
- Example: Chaudhary Group’s Sudhir Shrestha often makes quick, high-stakes decisions (e.g., expanding to India) based on industry trends.
4. Ethical Decision-Making
Business ethics ensures decisions are fair, legal, and socially responsible. Criteria for ethical decisions:
| Criteria | Definition | Example (Nepal) |
|---|---|---|
| Legality | Complies with laws (e.g., Company Act) | Nabil Bank cannot charge hidden fees. |
| Rights | Respects stakeholders’ rights | Pathao drivers must earn minimum wage. |
| Utilitarianism | Maximizes overall benefit | eSewa’s decision to waive transaction fees for rural users. |
| Justice | Fair distribution of benefits/burdens | NTC’s subsidy policy for off-grid villages. |
| Practicality | Feasible to implement | Daraz’s "no returns" policy for perishables. |
CASE STUDY: Ncell’s Ethical Dilemma
- Scenario: Ncell wants to increase profits by raising data prices by 30%.
- Ethical Analysis:
- Legality: Allowed (no price caps in telecom).
- Rights: Violates customers’ right to affordable services.
- Utilitarianism: Hurts low-income users but boosts shareholder value.
- Decision: Ncell introduced tiered pricing (cheaper plans for basic users) to balance ethics and profit.
5. Digital Dimensions in Planning
Digital tools transform planning by enabling:
- Big Data Analytics: Predictive planning (e.g., Pathao’s surge pricing during festivals).
- AI/Machine Learning: Automated decision-making (e.g., Daraz’s chatbot for customer complaints).
- Cloud Computing: Real-time collaboration (e.g., Nabil Bank’s remote team planning).
- Blockchain: Transparent record-keeping (e.g., eSewa’s fraud detection).
WORKED EXAMPLE: eSewa’s Digital Planning
- Problem: High fraud rates in online transactions.
- Digital Solution:
- Uses AI to flag suspicious transactions (e.g., sudden large payments).
- Blockchain to verify user identities.
- Outcome: Fraud reduced by 40% in 2 years.
6. Relationship Between Planning and Digital Dimensions
flowchart LR
A["Planning"] --> B["Digital Tools"]
B --> C["Big Data"]
B --> D["AI"]
B --> E["Cloud"]
C -->|"Enables"| F["Predictive Analytics"]
D -->|"Supports"| G["Automated Decisions"]
E -->|"Facilitates"| H["Real-Time Collaboration"]
F -->|"Leads to"| I["Better Strategies"]
G -->|"Reduces"| J["Human Error"]
I -->|"Results in"| K["Strategic Alignment"]
K -->|"Enhances"| L["Organizational Agility"]TABLE: Digital Tools in Nepali Businesses
| Company | Digital Tool Used | Planning Benefit |
|---|---|---|
| eSewa | AI Fraud Detection | Reduces financial losses by 30%. |
| Daraz | Demand Forecasting (ML) | Optimizes inventory; cuts waste by 25%. |
| Nabil Bank | Cloud-Based Risk Models | Faster loan approvals; higher customer trust. |
| Pathao | Dynamic Pricing Algorithm | Maximizes driver earnings during peak hours. |
## In the Real World
eSewa’s Transaction Planning
- Idea Used: Contingency Planning + Digital Security
- How: eSewa’s team uses stress-testing to simulate cyberattacks (e.g., DDoS) and has a 24/7 response team to lock accounts and refund fraudulent transactions. During Dashain, they pre-allocate server capacity to avoid crashes.
Daraz’s Inventory Decisions
- Idea Used: Decision-Making Under Risk (Probabilistic Forecasting)
- How: Daraz’s supply chain team uses historical sales data to predict Diwali demand. For example:
- If sales grew 15% last year, they order 120% of last year’s stock (accounting for 20% growth + 20% buffer for stockouts).
- For new products (e.g., smartwatches), they use market trend analysis to estimate demand.
NTC’s Power Grid Planning
- Idea Used: Strategic Planning + Contingency Planning
- How: NTC’s 10-year master plan includes:
- Core Strategy: Build 5 new hydropower plants (total 1,200 MW).
- Contingency: If monsoons fail, activate solar microgrids in high-demand areas (e.g., Kathmandu Valley).
- Digital Tool: Uses GIS mapping to identify optimal plant locations (avoiding ecological damage).
## Exam Tip
How to Score Full Marks in TU/PU Exams for This Unit
Define Clearly
- Always start with precise definitions (e.g., "Planning is a systematic process of setting objectives and determining actions to achieve them").
- Example: For "types of planning", define strategic vs. tactical before listing examples.
Use Real-World Examples
- Examiners love Nepali case studies. Link every concept to eSewa, Daraz, NTC, or banks.
- Bad: "Companies use planning." Good: "Like Nabil Bank, which uses scenario planning to prepare for global interest rate hikes."
Compare and Contrast
- For questions like "Differentiate between strategic and long-term planning", use a table (as shown above) or flowchart to highlight differences.
Ethics Questions
- For "criteria for ethical decision-making", use the 5-point checklist (legality, rights, utilitarianism, justice, practicality) and apply it to a case (e.g., Ncell’s pricing).
Digital Planning
- If asked about "digital dimensions", mention:
- Tool (e.g., AI, blockchain).
- Company (e.g., eSewa, Daraz).
- Impact (e.g., "reduced fraud by 40%").
- If asked about "digital dimensions", mention:
Diagrams = Extra Marks
- Draw decision trees, planning hierarchies, or ethical frameworks in your answer. Even a rough sketch earns points.
Common Mistakes to Avoid
- ❌ Listing types of planning without examples.
- ❌ Describing decision-making models without conditions (certainty/risk/uncertainty).
- ❌ Ignoring digital tools in planning (always mention 1–2 tools per question).
Final Checklist Before Submitting ✅ Defined all key terms. ✅ Included at least 2 Nepali business examples. ✅ Used tables/flowcharts for comparisons. ✅ Linked digital tools to planning. ✅ Answered ethical criteria with a case study.
Based on the TU BBS syllabus for Principles of Management (MGT213), unit 3.
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