e-Business & e-Commerce: Models, Definitions & Real-World Impact

Core Definitions: e-Business vs. e-Commerce

1. What is e-Business?

e-Business (electronic business) is the use of digital technologies (internet, mobile apps, cloud computing, AI) to conduct all business activities—not just transactions. It includes:

• Internal processes (HR, finance, supply chain via ERP systems like SAP).
• External interactions (e-commerce, customer service via chatbots, digital marketing).
• Collaboration (EDI for supplier orders, video conferencing for meetings).

mindmap
  root((e-Business))
    Internal
      ERP Systems
      Digital HR (e.g., Nabil Bank’s online leave system)
      Cloud Accounting (e.g., QuickBooks for Daraz sellers)
    External
      e-Commerce (B2C: Daraz, C2C: SastoDeal)
      Digital Marketing (Google Ads for Himalayan Java)
      Customer Support (WhatsApp Business for Pathao)
    Collaboration
      EDI (NTC’s automated freight tracking)
      Video Conferencing (Zoom for Chaudhary Group meetings)

2. What is e-Commerce?

e-Commerce is a subset of e-business focused only on buying/selling goods/services online. It includes:

• Digital products (e-books, software: e.g., NEPSE’s online trading platform).
• Physical products (Daraz’s online grocery delivery).
• Services (eSewa’s bill payments, Pathao’s ride-hailing).

Key Difference:

e-Business Models: How Companies Operate Online

The syllabus emphasizes four primary models, each with Nepal/Global examples:

1. Business-to-Consumer (B2C)

Definition: Companies sell directly to individual consumers. How it works:

• Front-end: User-friendly websites/apps (e.g., Daraz’s mobile app).
• Back-end: Inventory management, payment gateways (Khalti, eSewa), logistics (Nepal Post, Kanti Path).
• Revenue model: Commission (Daraz takes 10–15% per sale), ads, subscriptions.

Worked Example: Daraz’s Order Fulfillment

1. Customer browses Daraz → adds items to cart → checks out via Khalti.
2. Daraz’s system:
   • Updates seller’s inventory (via EDI).
   • Triggers Nepal Post/Kanti Path for delivery.
   • Sends SMS/email tracking (using Twilio API).
3. Challenge: Last-mile delivery delays (Nepal’s road infrastructure).
   • Solution: Daraz’s "Daraz Express" hubs in Kathmandu/Pokhara.

2. Business-to-Business (B2B)

Definition: Transactions between businesses (e.g., suppliers, wholesalers). How it works:

• Marketplaces: Alibaba (global), SastoDeal (Nepal for bulk buyers).
• EDI: Automated orders (e.g., Himalayan Java supplies Starbucks Nepal).
• Auctions: NEPSE’s online trading for shares.

Case Study: Himalayan Java’s B2B e-Business

• Problem: Traditional coffee suppliers faced delays in order processing.
• Solution:
  • Digital catalog (shows real-time stock levels).
  • EDI integration with Starbucks Nepal (auto-generates purchase orders).
  • Blockchain for traceability (shows coffee’s origin to customers).
• Outcome: 30% faster order processing, reduced errors.

flowchart TD
  A["Himalayan Java"] -->|"Digital Catalog"| B["Starbucks Nepal"]
  B -->|"EDI Order"| C["Himalayan Java Warehouse"]
  C -->|"Blockchain"| D["Customer App: Trace Coffee Journey"]

3. Consumer-to-Consumer (C2C)

Definition: Individuals sell to other individuals (e.g., Facebook Marketplace, SastoDeal). How it works:

• Platforms: Provide space (no inventory risk).
• Trust mechanisms: Ratings (like Daraz’s seller feedback), escrow payments (eSewa holds money until delivery).
• Revenue: Commission per sale (SastoDeal takes 5–10%).

Worked Example: Selling a Used Laptop on SastoDeal

1. Seller lists laptop → sets price → chooses "Cash on Delivery" (via eSewa).
2. Buyer browses → negotiates → pays via eSewa.
3. SastoDeal:
   • Holds 5% until buyer confirms receipt.
   • Provides dispute resolution if item is damaged.

4. Government-to-Citizen (G2C)

Definition: Government services delivered digitally (e.g., eSewa, online visa applications). How it works:

• Nepal Examples:
  • eSewa: Bill payments, license renewals, tax filings.
  • Online Visa: Nepal’s e-Visa portal (processes applications via AI).
• Global Example: Estonia’s e-Residency program (digital business licenses).

Case Study: eSewa’s G2C Model

• Problem: Citizens faced long queues for utility bills (e.g., NTC, NEA).
• Solution:
  • API integrations: Directly connects to NTC/NEA databases.
  • Mobile-first: 90% of transactions via Khalti/eSewa app.
  • Security: Biometric authentication (fingerprint + OTP).
• Impact: 2M+ transactions/day, reduced corruption.

flowchart LR
  A["Citizen"] -->|"eSewa App"| B["NTC Database"]
  A -->|"Khalti Payment"| C["NEA Server"]
  B & C -->|"API"| D["eSewa Backend"]
  D -->|"OTP Verification"| A

Other Key Models (Brief Overview)

## In the Real World

1. eSewa’s Payment Gateway

   • Idea: Electronic Payment Systems (Unit 5).
   • How it works: Uses tokenization (stores user card details securely) and APIs to connect to banks (Nabil, Global IME). When you pay for a NTC bill, eSewa:
     • Sends a request to NTC’s server via API.
     • Deducts money from your bank/Khalti account.
     • Updates NTC’s database instantly.
   • Real Impact: 80% of Nepal’s digital payments now use eSewa/Khalti.

2. Daraz’s Supply Chain (Unit 7)

   • Idea: Supply Chain Management.
   • How it works: Uses real-time inventory tracking (via RFID tags) and dynamic routing (AI predicts delivery delays in Kathmandu traffic).
   • Example: During Dashain, Daraz’s algorithm:
     • Detects high demand for prasad items.
     • Auto-routes orders to nearby warehouses (e.g., Bhaktapur hub).
     • Offers "same-day delivery" with a 20% premium.

3. NEPSE’s Online Trading (Unit 6)

   • Idea: Business Intelligence + Data Management.
   • How it works: Uses predictive analytics to:
     • Flag unusual trading patterns (e.g., pump-and-dump schemes).
     • Send alerts to investors via SMS/app.
   • Example: During the 2021 market crash, NEPSE’s AI:
     • Detected a 15% drop in trading volume.
     • Auto-suspended high-risk stocks temporarily.

Advantages and Challenges of e-Business

Advantages

mindmap
  root((e-Business Benefits))
    Cost Efficiency
      Reduced paper use (e.g., Nabil Bank’s digital statements)
      Lower overhead (no physical stores: Daraz vs. brick-and-mortar)
    Global Reach
      Nepalese sellers on Alibaba reach US/EU markets
      NEPSE traders access global investment portfolios
    24/7 Operations
      eSewa works at midnight; no bank hours
    Data-Driven Decisions
      Daraz’s AI predicts best-selling products by season
    Customer Convenience
      Pathao’s app vs. hailing a taxi on the street

Challenges

## Exam Tip: How to Score Full Marks

1. Definitions Must Be Precise

   • ❌ "e-Business is doing business online."
   • ✅ "e-Business is the integration of digital technologies (internet, mobile, AI, cloud) into all business processes—internal (ERP, HR) and external (e-commerce, CRM)—to improve efficiency, reach, and customer experience."

2. Use the "PEEL" Method for Essays

   • Point: State the model (e.g., "B2C e-commerce").
   • Example: Give a Nepal-specific case (e.g., "Daraz’s mobile app").
   • Explanation: How it works (e.g., "uses Khalti’s payment gateway + Nepal Post’s logistics API").
   • Link: Connect to a broader concept (e.g., "this reduces Daraz’s operational costs by 25% while increasing rural access").

3. Compare Models in Tables

   • Examiners love structured comparisons. For example:

     Model	Key Players (Nepal)	Technology Used	Revenue Model
     B2C	Daraz, SastoDeal	Mobile apps, EDI, AI	Commission, ads, subscriptions
     B2B	Alibaba Nepal, SastoDeal (bulk)	EDI, blockchain	Subscription fees, transaction charges

4. For Short Questions (e.g., "Define G2G")

   • Template:

     G2G (Government-to-Government) e-business refers to digital transactions between government entities (e.g., Nepal’s cross-border EDI with India for customs clearance). It uses standardized data formats (e.g., PEPPOL) to automate processes like tax filings or defense procurement, reducing paperwork and corruption.

5. Real-World Applications = Extra Marks

   • Always tie theory to Nepal’s context. For example:
     • Question: "What is a buy-side marketplace?"
     • Answer:

       A buy-side marketplace is a B2B platform where businesses purchase goods/services in bulk (e.g., SastoDeal’s "Wholesale" section for retailers). Unlike sell-side (e.g., Daraz), buyers negotiate prices with multiple suppliers. Example: Himalayan Java uses this to source coffee beans from small farmers at fair prices, reducing middlemen costs by 15%.

6. Diagrams = Easy Marks

   • Draw one simple flowchart per answer if the question asks "how it works." For example:

     flowchart TD
       A["Customer"] -->|"Browses"| B["Daraz App"]
       B -->|"Adds to Cart"| C["Inventory Check"]
       C -->|"Available?"| D{"Yes/No"}
       D -->|"Yes"| E["Khalti Payment"]
       E -->|"Success"| F["Nepal Post Delivery"]

## Past Exam Questions Answered

Q1: Define IP-security and its significance. How can we ensure security in e-payment?

Answer: IP-security (Internet Protocol Security) is a suite of protocols (IPSec) that authenticates and encrypts data packets transmitted over IP networks (e.g., VPNs, e-payment gateways). It prevents man-in-the-middle attacks (e.g., hackers intercepting Khalti transactions).

Significance in e-Business:

• Protects sensitive data (credit card numbers, login credentials).
• Ensures compliance with Nepal Rastra Bank’s digital banking guidelines.
• Builds customer trust (e.g., eSewa’s encrypted transactions).

Ensuring Security in e-Payment:

1. Encryption:
   • Use TLS/SSL certificates (e.g., Daraz’s "https://" lock icon).
   • Tokenization: Replace card details with tokens (e.g., Khalti’s "Save Card" feature).
2. Multi-Factor Authentication (MFA):
   • OTP + biometrics (e.g., eSewa’s fingerprint login).
3. PCI-DSS Compliance:
   • Payment gateways (e.g., Global IME) must follow Payment Card Industry Data Security Standard.
4. Fraud Detection:
   • AI tools (e.g., Nabil Bank’s real-time transaction monitoring).
5. Secure APIs:
   • eSewa uses OAuth 2.0 to authorize payments without exposing user data.

Visual:

sequenceDiagram
  Customer->>eSewa: Enters Card Details
  eSewa->>Tokenization Server: Replaces with Token
  Tokenization Server-->>eSewa: Returns Token
  eSewa->>Bank: Sends Token + OTP
  Bank-->>eSewa: Approves/Declines
  eSewa->>Customer: Confirms Payment

Q2: Explain the different e-business models for e-products and e-services with examples.

Answer:

Worked Example: e-Product (Nepal Literature Project)

• Model: B2C
• How it works:
  1. Publisher (e.g., Paperback Nepal) uploads e-books to Daraz.
  2. Daraz uses DRM to prevent piracy.
  3. Customer buys via Khalti → downloads via Adobe Digital Editions.
• Tech Used: Cloud storage (AWS), payment gateways, DRM.

Q3: What are the negative social consequences of using business technologies? (Any two)

Answer:

1. Job Displacement

   • Example: Automated ATMs (e.g., Nabil Bank’s Nabil Online) replaced 500+ bank tellers in Nepal.
   • Impact: Unskilled workers struggle to adapt to digital roles.

2. Digital Divide & Exclusion

   • Example: Rural farmers in Dolpa lack internet access, missing out on e-agriculture platforms (e.g., Kisan Call Center).
   • Impact: Widening inequality between urban/rural populations.

3. Privacy Violations

   • Example: Khalti’s 2020 data breach exposed 2M users’ financial data.
   • Impact: Loss of trust in digital payments (e.g., fewer people using eSewa temporarily).

4. Social Isolation

   • Example: Over-reliance on Pathao/Daraz delivery reduces face-to-face interactions in local markets.
   • Impact: Decline in community bonds (e.g., traditional "haat" markets in Bhaktapur).

## Summary Checklist for Revision

Before the exam, ensure you can:

1. Differentiate e-business vs. e-commerce with examples.
2. List and explain the 4 core models (B2C, B2B, C2C, G2C) + 2 others (B2G, C2B).
3. Draw a flowchart for any model’s process (e.g., Daraz order fulfillment).
4. Name 3 Nepali companies using each model (e.g., B2B: Himalayan Java; G2C: eSewa).
5. Explain 2 advantages and 2 challenges of e-business with local examples.
6. Describe security measures in e-payments (encryption, MFA, PCI-DSS).
7. Link theories to real-world cases (e.g., "NEPSE’s AI uses predictive analytics for fraud detection").