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How Smart, Connected
Products Are Transforming
Competition
Michael E. Porter and James E. Heppelmann,
Harvard Business Review, Nov. 2014
Strategic Business Planning
Vassilis Kapatsoulias
 Idea in Brief
 IT-Driven Competition
 Smart, Connected Products
 The New Technology Stack
 What Can Smart, Connected Products Do?
 Reshaping Industry Structure
 New Industry Boundaries and Systems of Systems
 Competitive Advantage
 Implications for Strategy
 The Larger Opportunity
Table of Contents
• A changing environment
– New opportunities: functionality + capabilities  transcend boundaries
– Changing nature: disrupting value chain
– Rethink: products (conceive, design, source, manufacture, operate), IT
infrastructure (build, secure)
• New strategic choices
– How value is created and captured
– How companies work with partners
– How competitive advantage is secured
• ““What business am I in?”What business am I in?”
Idea in Brief
• First wave: 60s and 70s  automated activities
– Data analysis, process standardization  productivity ↑
• Second wave: 80s and 90s  coordination and integration
– Value chain transformed  productivity and growth ↑
• Third wave: IT is part of product  computers, cloud, data
– productivity ↑ ↑ ↑
– “Internet of things”: change everything?
• Rules of competition and competitive advantage are the same
IT-Driven
Competition
• 3 core elements
– Physical: mechanical, electrical parts
– Smart: sensors, microprocessors, data storage, controls, software,
operating system, enhanced user interface
– Connectivity: ports, antennae, protocols enabling connection
• One-to-one, one-to-many, many-to-many
• Exchange info, product cloud
• Innovation, breakthroughs  emerging across all manufacturing sectors
• Requirement: building new technology infrastructure (“technology
stack”)  rapid product application development and operation  data
– Product hardware/software/cloud, connectivity, security tools, external
information sources, integration with business systems
Smart, Connected
Products
• Monitoring: sensors, external data sources  condition, operating
characteristics
– Data  implications
• Control: software  remote commands or algorithms  control functions
– Personalize user experience and performance
• Optimization: monitoring + control  apply algorithms and analytics to
data
– Enhance product performance
– Allow predictive diagnostics, service, repair, updates
• Autonomy: learn – self-diagnose – adapt
– Autonomous product operation and coordination
– Product enhancement, personalization
What Can Smart,
Connected Products
Do?
• Bargaining power of buyers: product differentiation  competition not
only price
– Ability to segment, customize, capture value, value-added services (-)
– Customer relationships, switching costs, distribution independency (-)
– Understanding true product performance, access to usage data (+)
– Support from manufacturer ↓, product as a service  switching cost ↓ (+)
• Rivalry among competitors: differentiation, tailor, customize
– Broaden value proposition (data, service)
– Fixed costs ↑
– Tempt to enter feature and function arms race
– Broader product systems  rivalry ↑
Reshaping Industry
Structure
• Threat of new entrants:
– Obstacles:
1. Design, technology, IT infrastructure  high fixed costs
2. Broadening product definitions
3. First-mover advantages  buyer loyalty, switching costs
– Opportunities: embrace new capabilities  leapfrog/invalidate
incumbents
• Threat of substitutes: performance, customization, value  threats ↓
– New threats: wider capabilities, new business models  substitute
product ownership
• Bargaining power of suppliers: software replaces physical
components
– Traditional suppliers: reduced importance
– Powerful new suppliers  essential to differentiation and cost  high
bargaining power (can also gain leverage through end users and usage
data access)
Reshaping Industry
Structure
• Expanded definition: function optimized with other products
• Basis of competition: performance of broader product system
• Systems of systems: coordinate and optimize external information
• Products/designs with greatest impact  drive process, capture value
• Effect:
1. Rising barriers + first-mover advantage  consolidation
2. Consolidation pressures ↑  single products vs. multiproduct systems
3. New entrants emerge  “productless” strategies (connectivity)
New Industry
Boundaries and
Systems of Systems
• Differentiate  price premium, lower costs  superior profitability and growth
• Foundation: Operational Effectiveness (OE)  best practices across value chain
• Define distinctive strategic positioning  how to deliver unique value
• Design: new principles
– Hardware standardization through software-based customization and personalization
– Support ongoing upgrades
– Enable predictive, enhanced, and remote service
Expertise in systems engineering
Product development  late stage and post-purchase
Synchronize “clock speeds” development
Competitive
Advantage
• After-sale service: predictive maintenance and service productivity
– Use data  insights, validate/identify warranty
– Decrease service costs  replace physical parts with “software parts”
• Marketing: data  insights on positioning, communication
– Segmentation  bundles, pricing, tailoring through software
• Human resources: need to recruit new skills  high demand
– Software development, systems engineers, clouds, big data
• Security: robust security management  protect data, new
authentication
Competitive
Advantage
• Set of choices  reinforce one another, coherent
1. Set of capabilities and features
– Which features deliver real value, related to cost?  value equation
– Which segments to serve?
– Reinforce competitive advantage  extensive features  differentiation vs. low-
cost basic features
2. Functionality: embed in product or cloud?
– Cost, response time, connectivity risk, automation
– Network availability/reliability/security  dependence
– Location of product use: remote or hazardous?  mitigate dangers/cost
– Nature of user interface: complex or frequently changed?  cloud
– Frequency of service or product upgrades
Implications for
Strategy
3. Open or closed system?
– Closed: single manufacturer  requires significant investment
• Competitive advantage: control/optimize design of all parts
• Become de facto industry standard  capture all value
– Open: interface and participate in the system
• Become de facto industry standard  no proprietary benefit
3. Capabilities & infrastructure: develop internally or outsource?
• Investment  skills (scarce, high in demand)
• In-house: control over features, first-mover advantage, overestimate ability
• Outsourcing: partners demand larger share, compromise ability to become experts
Combination of both
Identify opportunities: insight, innovation, competitive advantage, outsource future
commodities
Implications for
Strategy
5. Type of data to capture, secure, and analyze (cost, rights,
complexity)
 Functionality value, value chain, efficiency, future improvement, frequency
 Consider product integrity, security
 Depends on positioning and strategies
5. Managing ownership and access rights: who owns the data?
• Outright or joint ownership
• Transparency, data-sharing framework (condition/performance/location)
• Customers want a say  make clear value proposition to encourage sharing
• “Click through” agreements
5. Disintermediation of distribution channels and service network
+ Revenue, margins, knowledge of needs, brand awareness, loyalty, pricing ease ↑
- Physical proximity required, losing partners to competitors, invest in functions
 Decide based on type of partner networks
Implications for
Strategy
8. Change business model? (from traditional ownership to product-as-a-
service)
• Dilemma: economic incentives
• New model  profitability: pricing, terms of contracts
• Switching costs vs. perpetual ownership
 Hybrid models: bundles with warranty, service, performance-based
8. New business: monetizing product data
• Value of data  new services/businesses  reaction of core customers?
8. Expand the company’s scope (broadened industry boundaries)
a) Related products or parts: opportunities, risk, systems engineering
b) Platform that connects products & info
 Value proposition, systems engineering, IT skills, products central to
system
 Optimization: “inside product” or “outside product” (design vs.
algorithms)
Implications for
Strategy
• Changes in: value creation, competition, industry boundaries  economy,
productivity growth
• Improved ability to meet needs: efficiency, effectiveness, safety, reliability,
utilization, conservation
• Opportunity: rapid innovation and economic growth  prosperity growth
• Embrace opportunity: equip workers with skills, agree on rules and
regulations, overcome blocking efforts
• Make clear choice of strategy: consistent, reinforce choices  define
distinctive and realistic value proposition
The Larger
Opportunity
Transforming Competition with Smart, Connected Products

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Transforming Competition with Smart, Connected Products

  • 1. How Smart, Connected Products Are Transforming Competition Michael E. Porter and James E. Heppelmann, Harvard Business Review, Nov. 2014 Strategic Business Planning Vassilis Kapatsoulias
  • 2.  Idea in Brief  IT-Driven Competition  Smart, Connected Products  The New Technology Stack  What Can Smart, Connected Products Do?  Reshaping Industry Structure  New Industry Boundaries and Systems of Systems  Competitive Advantage  Implications for Strategy  The Larger Opportunity Table of Contents
  • 3. • A changing environment – New opportunities: functionality + capabilities  transcend boundaries – Changing nature: disrupting value chain – Rethink: products (conceive, design, source, manufacture, operate), IT infrastructure (build, secure) • New strategic choices – How value is created and captured – How companies work with partners – How competitive advantage is secured • ““What business am I in?”What business am I in?” Idea in Brief
  • 4. • First wave: 60s and 70s  automated activities – Data analysis, process standardization  productivity ↑ • Second wave: 80s and 90s  coordination and integration – Value chain transformed  productivity and growth ↑ • Third wave: IT is part of product  computers, cloud, data – productivity ↑ ↑ ↑ – “Internet of things”: change everything? • Rules of competition and competitive advantage are the same IT-Driven Competition
  • 5. • 3 core elements – Physical: mechanical, electrical parts – Smart: sensors, microprocessors, data storage, controls, software, operating system, enhanced user interface – Connectivity: ports, antennae, protocols enabling connection • One-to-one, one-to-many, many-to-many • Exchange info, product cloud • Innovation, breakthroughs  emerging across all manufacturing sectors • Requirement: building new technology infrastructure (“technology stack”)  rapid product application development and operation  data – Product hardware/software/cloud, connectivity, security tools, external information sources, integration with business systems Smart, Connected Products
  • 6. • Monitoring: sensors, external data sources  condition, operating characteristics – Data  implications • Control: software  remote commands or algorithms  control functions – Personalize user experience and performance • Optimization: monitoring + control  apply algorithms and analytics to data – Enhance product performance – Allow predictive diagnostics, service, repair, updates • Autonomy: learn – self-diagnose – adapt – Autonomous product operation and coordination – Product enhancement, personalization What Can Smart, Connected Products Do?
  • 7. • Bargaining power of buyers: product differentiation  competition not only price – Ability to segment, customize, capture value, value-added services (-) – Customer relationships, switching costs, distribution independency (-) – Understanding true product performance, access to usage data (+) – Support from manufacturer ↓, product as a service  switching cost ↓ (+) • Rivalry among competitors: differentiation, tailor, customize – Broaden value proposition (data, service) – Fixed costs ↑ – Tempt to enter feature and function arms race – Broader product systems  rivalry ↑ Reshaping Industry Structure
  • 8. • Threat of new entrants: – Obstacles: 1. Design, technology, IT infrastructure  high fixed costs 2. Broadening product definitions 3. First-mover advantages  buyer loyalty, switching costs – Opportunities: embrace new capabilities  leapfrog/invalidate incumbents • Threat of substitutes: performance, customization, value  threats ↓ – New threats: wider capabilities, new business models  substitute product ownership • Bargaining power of suppliers: software replaces physical components – Traditional suppliers: reduced importance – Powerful new suppliers  essential to differentiation and cost  high bargaining power (can also gain leverage through end users and usage data access) Reshaping Industry Structure
  • 9. • Expanded definition: function optimized with other products • Basis of competition: performance of broader product system • Systems of systems: coordinate and optimize external information • Products/designs with greatest impact  drive process, capture value • Effect: 1. Rising barriers + first-mover advantage  consolidation 2. Consolidation pressures ↑  single products vs. multiproduct systems 3. New entrants emerge  “productless” strategies (connectivity) New Industry Boundaries and Systems of Systems
  • 10. • Differentiate  price premium, lower costs  superior profitability and growth • Foundation: Operational Effectiveness (OE)  best practices across value chain • Define distinctive strategic positioning  how to deliver unique value • Design: new principles – Hardware standardization through software-based customization and personalization – Support ongoing upgrades – Enable predictive, enhanced, and remote service Expertise in systems engineering Product development  late stage and post-purchase Synchronize “clock speeds” development Competitive Advantage
  • 11. • After-sale service: predictive maintenance and service productivity – Use data  insights, validate/identify warranty – Decrease service costs  replace physical parts with “software parts” • Marketing: data  insights on positioning, communication – Segmentation  bundles, pricing, tailoring through software • Human resources: need to recruit new skills  high demand – Software development, systems engineers, clouds, big data • Security: robust security management  protect data, new authentication Competitive Advantage
  • 12. • Set of choices  reinforce one another, coherent 1. Set of capabilities and features – Which features deliver real value, related to cost?  value equation – Which segments to serve? – Reinforce competitive advantage  extensive features  differentiation vs. low- cost basic features 2. Functionality: embed in product or cloud? – Cost, response time, connectivity risk, automation – Network availability/reliability/security  dependence – Location of product use: remote or hazardous?  mitigate dangers/cost – Nature of user interface: complex or frequently changed?  cloud – Frequency of service or product upgrades Implications for Strategy
  • 13. 3. Open or closed system? – Closed: single manufacturer  requires significant investment • Competitive advantage: control/optimize design of all parts • Become de facto industry standard  capture all value – Open: interface and participate in the system • Become de facto industry standard  no proprietary benefit 3. Capabilities & infrastructure: develop internally or outsource? • Investment  skills (scarce, high in demand) • In-house: control over features, first-mover advantage, overestimate ability • Outsourcing: partners demand larger share, compromise ability to become experts Combination of both Identify opportunities: insight, innovation, competitive advantage, outsource future commodities Implications for Strategy
  • 14. 5. Type of data to capture, secure, and analyze (cost, rights, complexity)  Functionality value, value chain, efficiency, future improvement, frequency  Consider product integrity, security  Depends on positioning and strategies 5. Managing ownership and access rights: who owns the data? • Outright or joint ownership • Transparency, data-sharing framework (condition/performance/location) • Customers want a say  make clear value proposition to encourage sharing • “Click through” agreements 5. Disintermediation of distribution channels and service network + Revenue, margins, knowledge of needs, brand awareness, loyalty, pricing ease ↑ - Physical proximity required, losing partners to competitors, invest in functions  Decide based on type of partner networks Implications for Strategy
  • 15. 8. Change business model? (from traditional ownership to product-as-a- service) • Dilemma: economic incentives • New model  profitability: pricing, terms of contracts • Switching costs vs. perpetual ownership  Hybrid models: bundles with warranty, service, performance-based 8. New business: monetizing product data • Value of data  new services/businesses  reaction of core customers? 8. Expand the company’s scope (broadened industry boundaries) a) Related products or parts: opportunities, risk, systems engineering b) Platform that connects products & info  Value proposition, systems engineering, IT skills, products central to system  Optimization: “inside product” or “outside product” (design vs. algorithms) Implications for Strategy
  • 16. • Changes in: value creation, competition, industry boundaries  economy, productivity growth • Improved ability to meet needs: efficiency, effectiveness, safety, reliability, utilization, conservation • Opportunity: rapid innovation and economic growth  prosperity growth • Embrace opportunity: equip workers with skills, agree on rules and regulations, overcome blocking efforts • Make clear choice of strategy: consistent, reinforce choices  define distinctive and realistic value proposition The Larger Opportunity