IT233 Business Information System

Business Information SystemUnit 1212 min read

E-Commerce & Mobile Commerce: Models, Tech & Business Impact

Unit 12 of Business Information System explores how digital technologies enable e-commerce (online transactions) and mobile commerce (m-commerce), covering definitions, business models, security, payment systems, and real-world applications like Daraz, eSewa, and Pathao—with visual comparisons of platforms and case stu

TAKEAWAYS:

  • E-commerce is digital buying/selling of goods/services via internet platforms (B2B, B2C, C2C), while mobile commerce extends this to smartphones/tablets using apps or mobile-optimized sites.
  • Key business models include B2B (Alibaba), B2C (Amazon), C2C (OLX), and subscription (Netflix), each with distinct revenue streams and tech requirements.
  • Security challenges (fraud, data breaches) are mitigated by SSL certificates, encryption, and payment gateways like Khalti or PayPal, but require compliance with laws like Nepal’s Electronic Transaction Act, 2008.
  • Mobile commerce leverages location-based services (LBS), QR codes, and USSD (e.g., Ncell’s eSewa for bill payments) to create frictionless transactions, but faces barriers like low internet penetration in rural Nepal and high mobile data costs.
  • Logistics and last-mile delivery (e.g., Pathao’s rider network, Daraz’s hub-and-spoke model) are critical success factors, often outsourced to partners like Nepal Post or DHL.
  • Emerging trends include AI chatbots (e.g., Daraz’s customer support), blockchain for transparency (e.g., NEPSE’s digital share trading), and voice commerce (e.g., Google Assistant orders).

1. Definitions and Scope

E-commerce and mobile commerce are subsets of electronic commerce, but they differ in channel, device, and user behavior.

Definition: Digital buying/selling via internet (desktops, lB2B (e.g., Daraz Business)B2C (e.g., Daraz Consumer)C2C (e.g., OLX)C2B (e.g., Freelancer)P2P (e.g., Peer-to-peer lending platforms)ModelsAmazon (Global)Daraz (Nepal)OLX (Marketplace)ExamplesE-CommerceDefinition: E-commerce via mobile devices (smartphones, tablMobile Apps (e.g., Daraz, Pathao)Mobile Websites (e.g., Daraz mobile site)USSD (*123# for eSewa)QR Codes (e.g., KFC Nepal)EnablerseSewa (Payments)Pathao (Ride-hailing)Khalti (Wallet)ExamplesMobile CommerceDevice: Desktop vs. MobileAccessibility: Always-on vs. Location-dependentTech: WiFi vs. Mobile Data/USSDKey DifferencesE-Commerce & Mobile Commerce

2. Business Models in E-Commerce

Each model targets different stakeholders and requires distinct technology stacks and revenue strategies.

Model Description Nepali Example Tech Requirements Revenue Model
B2B Business-to-business (wholesale, bulk transactions) Daraz Seller Center ERP integration, bulk order systems Commission (5–15%), subscription fees
B2C Business-to-consumer (retail to end-users) Daraz, Symbiosis Mobile app, inventory management, CRM Sales margin, ads, delivery fees
C2C Consumer-to-consumer (peer-to-peer marketplaces) OLX, Facebook Marketplace User verification, escrow payment Listing fees, transaction fees
C2B Consumer-to-business (users sell to businesses) Freelance.com (for gigs) Portfolio systems, bidding tools Service fees (10–20%)
P2P Peer-to-peer (sharing economy) Pathao (ride-sharing) GPS, real-time pricing, driver matching Commission per ride (20–30%)
C2G Citizen-to-government (online services) eSewa, NTC Online Portal Digital signatures, payment gateways Service charges (e.g., 2% on bills)

Worked Example: Daraz’s B2C Model Daraz uses a hybrid inventory model:

  • Self-managed inventory: Sellers list products directly (e.g., Himalayan Java coffee).
  • Fulfillment by Daraz (FBD): Daraz stores and ships products (e.g., electronics from suppliers like Transcend).
  • Tech stack: Uses Shopify-like backend, AI for demand forecasting, and Pathao for last-mile delivery.

3. Mobile Commerce: Beyond E-Commerce

Mobile commerce (m-commerce) adds location, convenience, and immediacy to e-commerce. Key enablers:

flowchart TD
  A["Mobile Commerce Enablers"] --> B["Mobile Devices: Smartphones (90% of Nepal’s 50M+ users)"]
  A --> C["Mobile Networks: 4G/5G, USSD (*123# for eSewa)"]
  A --> D["Mobile Apps: Daraz, Pathao"]
  A --> E["Mobile Wallets: Khalti, eSewa, IME Pay"]
  A --> F["Location Services: Google Maps for Pathao’s dynamic pricing"]
  A --> G["QR Codes: KFC Nepal menus"]

Real-World Example: eSewa’s USSD-Based Payments

  • Problem: Rural Nepal has low smartphone penetration but high feature-phone usage.
  • Solution: eSewa’s *USSD code (123#) allows users to pay bills (NTC, Ncell) or transfer money via basic phones.
  • Tech: Uses SMPP (Short Message Peer-to-Peer) protocol and bank integration (Nabil Bank, Global IME).
  • Impact: 80% of eSewa transactions come from USSD in 2023.

4. Security and Payment Systems

Security is the biggest challenge in e-commerce/m-commerce. Common threats and solutions:

Threat Example in Nepal Solution Tech Used
Fraudulent Transactions Fake Daraz seller listings Escrow payment (hold funds until delivery) PayPal-like systems, Khalti
Data Breaches Leaked customer data (e.g., 2021 Khalti hack) PCI-DSS compliance, encryption (AES-256) SSL certificates, tokenization
Phishing Fake "eSewa discount" SMS Multi-factor authentication (MFA) OTP via SMS/email
Payment Gateway Failures Khalti app crashes during Diwali Redundant servers, load balancing Cloudflare, AWS
Identity Theft Fake Pathao driver accounts Biometric verification (fingerprint) Nepal Police’s digital ID integration

Worked Example: Khalti’s Security Model

  1. User Onboarding: KYC (Know Your Customer) via Nepal Police’s digital ID or citizenship card.
  2. Transaction Flow:
    • User logs in via fingerprint/face ID.
    • Khalti generates a one-time password (OTP) sent to registered phone.
    • Payment is processed via Nepal Rastra Bank’s NPCI (National Payments Corporation of India) network.
  3. Fraud Detection: Uses AI to flag unusual transactions (e.g., sudden large transfers).

5. Logistics and Last-Mile Delivery

Last-mile delivery (final step from warehouse to customer) is the most expensive part of e-commerce, costing 50–60% of total logistics spend.

flowchart LR
  A["Warehouse Hub"] -->|"Daraz Fulfillment"| B["Regional Hubs: Kathmandu (Lalitpur), Pokhara, Biratnagar"]
  B --> C["Local Delivery Partners: Pathao Riders, Nepal Post, DHL Express"]
  C --> D["Customer"]
  B1["Delivery Options"] --> B1a["Standard: 2–3 days"]
  B1 --> B1b["Express: 1 day (+20%)"]
  B1 --> B1c["Cash on Delivery (COD)"]

Case Study: Pathao’s Last-Mile Solution

  • Problem: Daraz’s same-day delivery demand in Kathmandu’s traffic.
  • Solution:
    • Dynamic pricing: Uses Google Maps API to adjust fares based on traffic.
    • Micro-fulfillment: Partners with local shops (e.g., "Daraz Corner" in Thapathali) for same-hour delivery.
    • Tech: Real-time GPS tracking and AI route optimization.
  • Impact: 30% of Daraz orders in Kathmandu are delivered via Pathao.

Trend Nepali Example Global Example Tech Behind It
AI Chatbots Daraz’s "Ask Daraz" chatbot Amazon Alexa, H&M’s Kik NLP (Natural Language Processing), IBM Watson
Blockchain NEPSE’s digital share trading Walmart’s food traceability Hyperledger, Ethereum
Voice Commerce Google Assistant orders Domino’s Pizza voice orders NLP, APIs
Social Commerce Facebook Shops, OLX TikTok Shop, Instagram Checkout Meta’s Commerce Manager, Shopify
Drone Deliveries Pilot projects in Pokhara Amazon Prime Air, Zipline (Rwanda) DJI drones, FAA regulations
AI Chatbots (30%)Blockchain (25%)Voice Commerce (20%)Augmented Reality (25%)
Projected adoption trends of emerging e-commerce technologies in Nepal (2024).

Worked Example: NEPSE’s Blockchain for Share Trading

  • Problem: Manual share trading leads to delays and fraud.
  • Solution: NEPSE’s blockchain-based Central Depository System (CDS):
    • Immutable ledger: All trades are recorded permanently.
    • Smart contracts: Automate settlement and clearing.
    • Reduced fraud: 95% drop in fake trades since 2021.
  • Tech: Uses Ethereum-based private blockchain.

In the Real World

  1. eSewa and Khalti: Mobile Wallets for Financial Inclusion

    • Idea Used: Mobile commerce via USSD and QR codes.
    • How It Works:
      • eSewa: Users pay NTC/Ncell bills via *123# or app. 80% of rural transactions use USSD.
      • Khalti: Enables COD (cash on delivery) alternatives for Daraz. 60% of online shoppers use Khalti.
    • Impact: $1.2B in transactions/month (2023), reducing bank dependency in rural areas.
  2. Daraz and Pathao: The E-Commerce Logistics Duopoly

    • Idea Used: Last-mile delivery optimization.
    • How It Works:
      • Daraz uses Pathao’s rider network for same-day delivery in Kathmandu.
      • Dynamic pricing: Pathao charges 20–50% more during peak hours (e.g., Diwali).
    • Impact: Daraz’s revenue grew 40% in 2023 due to faster deliveries.
  3. NEPSE’s Digital Share Trading: Blockchain in Finance

    • Idea Used: Blockchain for transparency.
    • How It Works:
      • Investors buy/sell shares without paper certificates.
      • Smart contracts auto-settle trades in T+2 days (vs. manual 5–7 days).
    • Impact: Reduced fraud by 95% and increased retail investor participation.

Exam Tip

This unit is highly application-based. Expect:

  1. Scenario Questions: You’ll get a real-world case (e.g., "How would Daraz improve its last-mile delivery?") and must:
    • Identify the business model (B2C).
    • Suggest tech solutions (e.g., AI route optimization, micro-fulfillment).
    • Discuss security measures (e.g., GPS tracking for rider safety).
  2. Comparison Tables: Be ready to compare e-commerce vs. m-commerce or B2B vs. B2C models in tables.
  3. Diagrams: Draw flowcharts for:
    • Payment gateways (e.g., Khalti → Bank → Merchant).
    • Supply chains (e.g., Daraz → Nepal Post → Customer).
  4. Nepali Context: Always tie answers to local examples (e.g., "eSewa uses USSD because...").
  5. Trends: Know 1–2 emerging trends (e.g., blockchain in NEPSE, AI chatbots in Daraz).

Common Mistakes to Avoid:

  • Confusing e-commerce and m-commerce (always specify the device/channel).
  • Ignoring logistics—last-mile is 20% of exam weight.
  • Forgetting security—always mention encryption, MFA, or compliance laws.
  • Overlooking Nepali examples—examiners love Daraz, eSewa, Pathao, NEPSE.

Final Visual Summary

Based on the TU BBA syllabus for Business Information System (IT233), unit 12.

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