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The Hunger Games of Strategy
    Deadly competition in an era of
    openess, sustainability and play

      Jean-Michel Viola, PhD
What is Strategy?
Deadly coopetition

•   Hypercompetition (cost + differentiation)
•   Blue ocean is hard to find
•   Competitive advantages can rarely be sustained
•   H index are decreasing

• The case of Mobile in France (64M active sim cards in
  2012)
Disruptive ?
Is Strategizing still relevant?
Three Schools
                           A                B


                               Products
   Key                                               C
success
 factors



                               Activities

                                           Core
                                        Competence
How strategy is changing?

•   Business models
•   Big data analytics
•   Sustainability
•   Gamification
•   Managerial implications
The classical strategic model

                   Threat of
                     new                       Primary            Support
                   entrants

                                               activities         activities
                                                 Inbound                Firm
                                                 logistics         infrastructure
 Bargaining      Competitive      Bargaining
  power of       rivalry within    power of     Operations
  suppliers       the industry      Buyers                           Human
                                                                    resource
                                                                   management
                                                 Outbound
                                                  logistics
                                                                   Reserach and
                                               Marketing and       Development
                                                   sales
                   Threat of
                  Substitutes                                      Procurement
                                                  Service



                                                              Margin

The case of Amazon
What is a business model?
  •    Describes how an organization creates,
       delivers and captures value
       (Chesborough & Rosenbloom, 2002)


Technical                           Economic
 inputs                              outputs
Value proposition

                  Product or service
Target segments                        Revenue model
                      offering




  Value chain         Cost model        Organization

                  Operating model
Business Models


• The case of Amazon
   – R-D and The Kindle
   – Building warehouse in NJ and will start collect sales tax
• The case of Technicolor
   – Commoditization of its historic core business (electronic
     appliances)
   – Refocus on image technologies
   – Difficulties to adjust the organization to a shrinking sales base
Three trends that are changing
    the rules of the game
The age of big data

• Storage and data have grown
  exponentially
• Kryder’s law
• Open data trend in both the public and
  private sphere
• How to make sense of this for insights and
  profits?
The new data ecosystem
Individuals
•Data type
 •Crowdsourced information, data exhaust
                                                                     Faster Outbreak, Tracking
•Sharing incentives                                                  and response
 •Pricing offers, Improved services
•Requirements
 •Privacy standards, Opt out ability




Public sector                                                        Improved understanding of
                                                                     crisis behavior change
•Data type
•Census data, health indicators, tax and expenditure
 information, facility data
•Sharing incentives
•Improved service provision, increased efficiency in
 expenditures
•Requirements
•Privacy standards, Opt out ability                                  Accurate mapping of service
                                                                     needs

Private sector
•Data type                                             Data Mining
 •Transaction data, spending and use data
•Sharing incentives
                                                        & Analysis
 •Improved consumer knowledge and ability to predict
  trends                                                             Ability to predict Demand &
•Requirements                                                        Supply changes
 •Business models, ownership of sensitive data
The age of algorithms

• Algorithm to choose a bra over 50 points
  @ True&Co https://trueandco.com/
• API application and dynamic display
  http://www.nytimes.com/interactive/2012/0
  2/13/us/politics/2013-budget-proposal-
  graphic.html
• Geolocalization to mine for technological
  growth, partners and competitors
Big data Analytics in practice
      Technicolor patents base
       The age of algorithms
• True&Co has built an algorithm aver 50
  points of data for women to choose a bra
• http://www.nytimes.com/interactive/2012/0
  2/13/us/politics/2013-budget-proposal-
  graphic.html
• The case of the USPTO
Mapping asthma for insights


Spot alternative                       Identify key
 Technological                         technological
    options                            leaders




                                  Identify emerging
                                    technological
                                       options
A recent snapshot on asthma
Functional areas where companies
do, and should, focus on using big data
and analytics to improve overall
performance




                               % of respondants, n=1469, McKinsey Report , 2012


                                                  Ideally

                                                  Currently
Implications for strategy

• Competition, Customers, Competitive
  advantage
• A switch from getting information to
  making sense of information
• New organization and new skills
• From monopolistic rent to knowledge rents
Gamification
• The use of game design, game thinking and
  game mechanics to enhance non-game contexts
• To encourage people to adopt applications and
  processes, influence how they are used
• To help solving problems
• Taking advantage of human psychological
  predispositions to engage in gaming
• Augmented reality trend
• Smart cities trend
http://www.youtube.com/watch?v=lGYJyur4FUA

YOUTUBE VIDEO CAN YOU
GUESS WHAT IT IS ALL
ABOUT?
Gamification in practice

• These are online gamers that are
  unlocking the structure of an enzyme
  active in aids transmission (Foldit)
• http://lemonopoly.org/
Implications for strategy

• Available data from gamified websites,
  applications, and processes indicate potential
  improvements in areas like user engagement,
  ROI, data quality, timeliness, or learning
http://www.tagxedo.com/artful/af99b29f29da41ee
Sustainability (CSR)
• A stakeholders approach
• Very different flavors
• Growing commitment (business case,
  competitivity issue, on the permanent agenda)
Sustainability in practice

• Reindustrialization in Europe and in the
  US
• Fortune at the bottom of the pyramid
  – Mobile ICT in India
  – Mobile phone markets: smart and dumb
• Diversity
Implications for strategy

• Ability to map, assess and address key
  stakeholders… way beyond clients
• Delicately assess the CSR business model…
  if there is any!
• Or assess the “good citizen tax” of doing not
  too bad
So…

• Big data creates new opportunities for
  customization but asks for new skills
• Gamification improves attention and
  involvement from customers and allows for
  a better knowledge of useage
• CSR is about image and norms, creates a
  lot of noise in terms of mixes signals
• Strategy is about designing and assessing
  the relation between an organization and
  its environment
• Saying that the environment has a growing
  complexity is still too soft
• Strategy is still about designing and
  assessing the relation but there are much
  more data to filter and much more bricks
  to put together for a shorter life frame
Managerial implications

• Critical thinking in the age of questioning
• The need for situational adaptability
• Life long learning , short live knowledge
Multumesc

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The hunger games of strategy

  • 1. The Hunger Games of Strategy Deadly competition in an era of openess, sustainability and play Jean-Michel Viola, PhD
  • 3. Deadly coopetition • Hypercompetition (cost + differentiation) • Blue ocean is hard to find • Competitive advantages can rarely be sustained • H index are decreasing • The case of Mobile in France (64M active sim cards in 2012)
  • 6. Three Schools A B Products Key C success factors Activities Core Competence
  • 7. How strategy is changing? • Business models • Big data analytics • Sustainability • Gamification • Managerial implications
  • 8. The classical strategic model Threat of new Primary Support entrants activities activities Inbound Firm logistics infrastructure Bargaining Competitive Bargaining power of rivalry within power of Operations suppliers the industry Buyers Human resource management Outbound logistics Reserach and Marketing and Development sales Threat of Substitutes Procurement Service Margin The case of Amazon
  • 9. What is a business model? • Describes how an organization creates, delivers and captures value (Chesborough & Rosenbloom, 2002) Technical Economic inputs outputs
  • 10. Value proposition Product or service Target segments Revenue model offering Value chain Cost model Organization Operating model
  • 11. Business Models • The case of Amazon – R-D and The Kindle – Building warehouse in NJ and will start collect sales tax • The case of Technicolor – Commoditization of its historic core business (electronic appliances) – Refocus on image technologies – Difficulties to adjust the organization to a shrinking sales base
  • 12. Three trends that are changing the rules of the game
  • 13. The age of big data • Storage and data have grown exponentially • Kryder’s law • Open data trend in both the public and private sphere • How to make sense of this for insights and profits?
  • 14. The new data ecosystem Individuals •Data type •Crowdsourced information, data exhaust Faster Outbreak, Tracking •Sharing incentives and response •Pricing offers, Improved services •Requirements •Privacy standards, Opt out ability Public sector Improved understanding of crisis behavior change •Data type •Census data, health indicators, tax and expenditure information, facility data •Sharing incentives •Improved service provision, increased efficiency in expenditures •Requirements •Privacy standards, Opt out ability Accurate mapping of service needs Private sector •Data type Data Mining •Transaction data, spending and use data •Sharing incentives & Analysis •Improved consumer knowledge and ability to predict trends Ability to predict Demand & •Requirements Supply changes •Business models, ownership of sensitive data
  • 15. The age of algorithms • Algorithm to choose a bra over 50 points @ True&Co https://trueandco.com/ • API application and dynamic display http://www.nytimes.com/interactive/2012/0 2/13/us/politics/2013-budget-proposal- graphic.html • Geolocalization to mine for technological growth, partners and competitors
  • 16. Big data Analytics in practice Technicolor patents base The age of algorithms • True&Co has built an algorithm aver 50 points of data for women to choose a bra • http://www.nytimes.com/interactive/2012/0 2/13/us/politics/2013-budget-proposal- graphic.html • The case of the USPTO
  • 17. Mapping asthma for insights Spot alternative Identify key Technological technological options leaders Identify emerging technological options
  • 18. A recent snapshot on asthma
  • 19. Functional areas where companies do, and should, focus on using big data and analytics to improve overall performance % of respondants, n=1469, McKinsey Report , 2012 Ideally Currently
  • 20. Implications for strategy • Competition, Customers, Competitive advantage • A switch from getting information to making sense of information • New organization and new skills • From monopolistic rent to knowledge rents
  • 21. Gamification • The use of game design, game thinking and game mechanics to enhance non-game contexts • To encourage people to adopt applications and processes, influence how they are used • To help solving problems • Taking advantage of human psychological predispositions to engage in gaming • Augmented reality trend • Smart cities trend
  • 23. Gamification in practice • These are online gamers that are unlocking the structure of an enzyme active in aids transmission (Foldit) • http://lemonopoly.org/
  • 24. Implications for strategy • Available data from gamified websites, applications, and processes indicate potential improvements in areas like user engagement, ROI, data quality, timeliness, or learning
  • 26. Sustainability (CSR) • A stakeholders approach • Very different flavors • Growing commitment (business case, competitivity issue, on the permanent agenda)
  • 27. Sustainability in practice • Reindustrialization in Europe and in the US • Fortune at the bottom of the pyramid – Mobile ICT in India – Mobile phone markets: smart and dumb • Diversity
  • 28. Implications for strategy • Ability to map, assess and address key stakeholders… way beyond clients • Delicately assess the CSR business model… if there is any! • Or assess the “good citizen tax” of doing not too bad
  • 29. So… • Big data creates new opportunities for customization but asks for new skills • Gamification improves attention and involvement from customers and allows for a better knowledge of useage • CSR is about image and norms, creates a lot of noise in terms of mixes signals
  • 30. • Strategy is about designing and assessing the relation between an organization and its environment • Saying that the environment has a growing complexity is still too soft • Strategy is still about designing and assessing the relation but there are much more data to filter and much more bricks to put together for a shorter life frame
  • 31. Managerial implications • Critical thinking in the age of questioning • The need for situational adaptability • Life long learning , short live knowledge

Hinweis der Redaktion

  1. For 20 years I have been studyingstrategy and I findit more and more difficult to answerthis question. All the elementsfrom the PESTEL analysis have turnedhighlycomplex. Demographicsis one of them. Ex in Brittany where I live thousands of companies are looking for new owners and managers due to reiring plans
  2. In todayscompetition, WT are ofteneasier to spot than SO
  3. In todayscompetition, WT are ofteneasier to spot than SO
  4. For 20 years I have been studyingstrategy and I findit more and more difficult to answerthis question.
  5. For 20 years I have been studyingstrategy and I findit more and more difficult to answerthis question.