Tech & Org: Digital Tools, People, and Change

TAKEAWAYS:

• Technology transforms organizations through automation, AI, and digital tools (e.g., eSewa’s payment systems).
• People management in tech-driven orgs requires upskilling, remote work policies, and ethical AI use.
• Contingency theory and scientific management offer frameworks for adapting tech to organizational needs.
• Change management involves planned shifts (e.g., NTC’s 5G rollout) and overcoming resistance via communication.
• Emerging tech (blockchain, IoT) impacts quality, security, and customer experience in Nepali firms like Nabil Bank.
• Real-world examples: Daraz’s inventory tech, Pathao’s ride-matching algorithms, and NEPSE’s digital trading platforms.

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1. Technology and Organization: Approaches

Technology is no longer optional—it’s the backbone of modern organizations. From NTC’s fiber-optic networks to Daraz’s AI-driven logistics, tech redefines how work gets done. This section breaks down how organizations integrate technology, focusing on digital transformation, automation, and people management.

1.1 Definitions and Key Concepts

• Technology in Organizations: The application of tools, systems, and processes (e.g., ERP software, cloud computing) to improve efficiency, decision-making, and customer service.
• Digital Transformation: A fundamental change in how an organization operates using digital technologies (e.g., eSewa’s shift from cash to mobile payments).
• Automation: Using software/bots to replace manual tasks (e.g., Ncell’s automated customer service chatbots).

1.2 Approaches to Technology Integration

Organizations adopt tech in different ways, depending on their goals. Here’s how:

1.3 Worked Example: eSewa’s Payment Tech

Scenario: eSewa introduced QR code payments to reduce cash handling.

• Tech Used: Mobile wallets + blockchain-like transaction ledgers.
• Impact:
  • Efficiency: 24/7 transactions, no bank branches needed.
  • Security: Encrypted data, fraud detection.
  • People Management: Trained agents to handle digital disputes.

Key Takeaway: Tech isn’t just tools—it changes how people interact with the org (e.g., customers preferring mobile over cash).

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2. Technology and People Management

Tech doesn’t just change processes—it changes how employees work. This section covers:

• Upskilling: Training staff for digital tools (e.g., NEPSE traders learning algorithmic trading).
• Remote Work: Tools like Slack and Microsoft Teams (used by Himalayan Java’s remote teams).
• Ethical AI: Bias in hiring algorithms (e.g., Nabil Bank’s fair lending policies).

2.1 Upskilling in Action: NEPSE’s Digital Traders

Problem: Traditional stock traders struggled with NEPSE’s new digital platform. Solution: NEPSE ran weekend workshops on:

• Using trading apps.
• Analyzing real-time data.
• Risk management tools.

Result: 60% faster order processing post-training.

2.2 Remote Work Policies

Many Nepali firms now allow hybrid work (e.g., Chaudhary Group’s remote design teams).

• Tools Used:
  • Collaboration: Slack, Trello.
  • Security: VPNs, encrypted emails.
• Challenge: Managing trust vs. productivity (e.g., Pathao drivers’ GPS tracking).

Comparison Table: On-Site vs. Remote Work

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3. Contingency Theory and Scientific Management

Not all tech fits every org. This section explains how to choose the right approach:

3.1 Contingency Theory

"The best management style depends on the situation."

• Example: A small Pathao office might use simple Excel for scheduling, while a large NTC hub needs complex ERP software.
• Key Idea: Tech adoption must match org size, culture, and goals.

3.2 Scientific Management (F.W. Taylor)

Taylor’s principles (1910s) still apply today:

1. Standardize tasks (e.g., Ncell’s call center scripts).
2. Train workers (e.g., Nabil Bank’s ATM operators).
3. Incentivize efficiency (e.g., Daraz’s delivery bonuses).

Limitations:

• Ignores employee creativity (e.g., NEPSE traders’ intuition).
• Assumes one-size-fits-all (contingency theory counters this).

Mermaid Flowchart: Taylor’s Scientific Management Steps

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4. Change Management in Tech-Driven Orgs

Change is constant (e.g., NTC’s 5G rollout). This section covers:

• Forces for Change:
  • Tech: New software (e.g., Daraz’s AI inventory).
  • Market: Customer demands (e.g., eSewa’s instant transfers).
  • Legal: GDPR-like data laws (e.g., Ncell’s privacy updates).
• Resistance to Change:
  • Fear of job loss (e.g., NEPSE traders resisting automation).
  • Habit (e.g., Pathao drivers preferring manual tracking).

4.1 Overcoming Resistance: NTC’s 5G Case

Strategy:

1. Communication: Explained 5G’s benefits (faster speeds, new services).
2. Training: Free courses for technicians.
3. Incentives: Bonuses for early adopters.

Result: 85% employee buy-in within 6 months.

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5. Emerging Issues in Quality Management

Tech raises new quality challenges:

• Data Security: Ncell’s customer data breaches.
• Customer Experience: Daraz’s delayed deliveries.
• Ethical AI: Bias in loan approvals (Nabil Bank).

Example: Himalayan Java’s Smart Farms

• Tech Used: IoT sensors for coffee bean growth.
• Quality Impact:
  • Real-time monitoring → higher yield.
  • Data-driven pricing → fair trade compliance.

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In the Real World

1. Daraz’s AI Logistics:

   • Idea: Uses predictive analytics to optimize delivery routes.
   • How: AI analyzes traffic data (like Kathmandu’s) to cut delivery times by 30%.

2. NTC’s Digital Ticketing:

   • Idea: Replaced paper tickets with QR codes.
   • Impact: Reduced fraud and wait times (like at Tribhuvan International Airport).

3. Nabil Bank’s Digital Loans:

   • Idea: Blockchain for transparent loan tracking.
   • Example: A farmer gets a loan in 24 hours (vs. weeks before).

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Exam Tip

• Focus on real-world links: Always tie answers to Nepali firms (e.g., "NTC’s 5G uses contingency theory because...").
• Compare theories: Contrast scientific management (Taylor) with contingency theory (situational fit).
• Case studies: For 10-mark questions, use Daraz’s AI or NEPSE’s digital trading as examples.
• Diagrams: Draw flowcharts for change management steps or mindmaps for tech approaches.
• Avoid vague answers: Say "Ncell’s chatbots use automation to reduce call times by 40%" instead of "tech improves efficiency."