Unit 4 of 4 · MBA Sem 4

Unit 4: Digital transformation in strategy

Strategic Management of IT notes · PTU syllabus (MBA 946-18)

3 min read5 topics10 exam questions
On this page
  1. Unit summary
  2. Fundamental characteristics of industrial dynamics
  3. Visioning IT's strategic role
  4. Diversification strategies through digital transformation
  5. Success factors and implications
  6. Factors for shifting to digital and AI transformations
  7. Key terms
  8. Quick revision
  9. Important questions

Unit summary

Digital transformation changes industry dynamics and opens new paths for growth. This unit covers the fundamental characteristics of industrial dynamics, visioning IT's strategic role, diversification strategies through digital transformation, success factors and implications, and factors for shifting to digital and AI transformations.

After this unit you can

  • Explain the characteristics of industrial dynamics in a digital world
  • Envision IT's strategic role
  • Explain diversification through digital transformation
  • Identify success factors and drivers of digital and AI transformation

PTU syllabus topics

  • Fundamental characteristics of industrial dynamics
  • visioning IT's strategic role
  • diversification strategies through digital transformation
  • success factors and implications
  • factors for shifting to digital and AI transformations
ProcessDigital and AI transformation roadmap
  1. 1

    Vision for IT's strategic role

  2. 2

    Assess digital maturity

  3. 3

    Prioritise use cases

  4. 4

    Build data and AI capabilities

  5. 5

    Scale what works

  6. 6

    Measure business value

1

Topic 1

Fundamental characteristics of industrial dynamics

  • Digital industries feature: network effects, near-zero marginal costs, platform competition, winner-take-most outcomes, rapid technology cycles, data as a strategic asset, blurring industry boundaries (fintech, health-tech), ecosystems rather than single firms.
  • Implications: speed matters, scale and data compound, partnerships and APIs extend reach, regulation evolves (competition and data laws).
2

Topic 2

Visioning IT's strategic role

  • CIO and CDO roles: from running IT efficiently to co-creating strategy and digital products.
  • IT vision questions: How will customers interact with us digitally? What data and platforms will differentiate us? Which processes should be automated or reinvented with AI?
  • Alignment models: Henderson and Venkatraman's strategic alignment model — business strategy, IT strategy, organisational infrastructure and IT infrastructure aligned.
3

Topic 3

Diversification strategies through digital transformation

  • Related digital diversification: adding digital services to core products (connected vehicles, digital banking).
  • Platform and ecosystem expansion: super-apps (Tata Neu, Paytm), marketplaces, embedded finance.
  • Data monetisation: analytics services, insights products.
  • New digital businesses: Reliance Jio (telecom to digital platforms), Asian Paints' home décor and digital services.
4

Topic 4

Success factors and implications

  • Success factors: CEO sponsorship, clear digital vision, customer-centric design, agile delivery, modern data and cloud platforms, digital talent, change management, measurable outcomes.
  • Implications: new operating models, culture change, workforce reskilling, cybersecurity investment, governance of data and AI.
5

Topic 5

Factors for shifting to digital and AI transformations

ClassificationDrivers of digital and AI transformation
Drivers
  • Customer expectations

    Instant, personalised service

  • Competitive pressure

    Digital natives and platforms

  • Technology maturity

    Cloud, generative AI, low-cost compute

  • Data availability

    Digital transactions and IoT

  • Policy

    Digital India, DPI, IndiaAI Mission

  • Cost and productivity

    Automation of routine work

  • AI transformation: identify use cases, ensure data readiness, choose build or buy, govern responsibly (fairness, transparency, privacy), reskill employees, scale from pilots to production.

Key terms

Network effect
Value rising with the number of users
Ecosystem
Network of firms co-creating value around a platform
Strategic alignment model
Framework linking business and IT strategy and infrastructure
Data monetisation
Generating value from data assets
AI transformation
Reinventing processes and products with AI

Quick revision

  • Digital industry dynamics: network effects, platforms, data, ecosystems.
  • CIO/CDO roles; strategic alignment model.
  • Digital diversification paths.
  • Success factors and implications.
  • Drivers of digital and AI transformation; responsible AI.

Important exam questions

Practice questions written to the PTU exam pattern for this unit's syllabus: short answers (Section A style) and long answers (Sections B and C style).

Short-answer questions

  1. Q1.State three characteristics of digital industries.
  2. Q2.What is the strategic alignment model?
  3. Q3.Give an example of diversification through digital transformation.
  4. Q4.State four success factors of digital transformation.
  5. Q5.Name three drivers of AI transformation.
  6. Q6.What is data monetisation?

Long-answer questions

  1. Q1.Explain the characteristics of industrial dynamics in the digital era.
  2. Q2.Discuss visioning IT's strategic role and strategic alignment.
  3. Q3.Explain diversification strategies through digital transformation.
  4. Q4.Discuss success factors and the shift to digital and AI transformation.

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