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Innovation Management/ lecture 2: People and Teams for Innovation Success

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1/. The Myths of Innovation
2/. People and Teams for Innovation Success
3/. Customer Focused Innovation
4/. Speed: New thoughts on an old idea
5/. Co-Creation to build more value
6/. Eco-system development
7/. Selecting Ideas / Theories to tie things together

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Innovation Management/ lecture 2: People and Teams for Innovation Success

  1. 1. Bryan Cassady Guest Professor, Bryan@fast-bridge.com start End Class Update 5 16:00 16:05 Working in groups/ first thoughts 25 16:05 16:30 People and groups to be innovative 50 16:30 17:20 Break 15 17:20 17:35 Application of wise: Crowds Mymicro Invest 40 17:35 18:15 Biognoysis 15 18:15 18:30 Next week's assignment 10 18:30 18:40 160
  2. 2. Bryan Cassady Guest Professor, Bryan@fast-bridge.com
  3. 3. Bryan Cassady Guest Professor, Bryan@fast-bridge.com A + A + A = “A performance” (unlikely, but maybe possible) A + A + A = “B performance” (too often the case) A + B + C = “A performance” (where the potential lies)
  4. 4. Bryan Cassady Guest Professor, Bryan@fast-bridge.com
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  8. 8. Bryan Cassady Guest Professor, Bryan@fast-bridge.com Video to be inserted
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  11. 11. Bryan Cassady Guest Professor, Bryan@fast-bridge.com The issue… When you focus on 25 things it is hard to focus…
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  14. 14. Bryan Cassady Guest Professor, Bryan@fast-bridge.com His conclusion… the idiots errors cancelled each other out
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  20. 20. Bryan Cassady Guest Professor, Bryan@fast-bridge.com
  21. 21. Bryan Cassady Guest Professor, Bryan@fast-bridge.com
  22. 22. Bryan Cassady Guest Professor, Bryan@fast-bridge.com
  23. 23. Bryan Cassady Guest Professor, Bryan@fast-bridge.com “Bringing new members into the organization, even if they’re less experienced and less capable, actually makes the group smarter simply because what little the new members do know is not redundant with what everyone else knows.” (p.31)
  24. 24. Bryan Cassady Guest Professor, Bryan@fast-bridge.com
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  26. 26. Bryan Cassady Guest Professor, Bryan@fast-bridge.com Alpha Group 138 132 135 139 135 137 Diverse Group 121 84 111 75 135 31
  27. 27. Bryan Cassady Guest Professor, Bryan@fast-bridge.com “Most of the time” the diverse group outperforms the group of the best by a substantial margin. See Lu Hong and Scott Page Proceedings of the National Academy of Sciences (2002)
  28. 28. Bryan Cassady Guest Professor, Bryan@fast-bridge.com Alpha Group ABD ADE BCD ABC BCD ACD Diverse Group AHK FD AEG EZ BCD IL
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  33. 33. Bryan Cassady Guest Professor, Bryan@fast-bridge.com collective intelligence increases as the “herd mentality” decreases and the people in the group express what they genuinely think rather than going along with whatever everyone else is saying. “The more influence a group’s members exert on each other, and the more personal contact they have with each other, the less likely it is that the group’s decisions will be wise ones.” (p.42)
  34. 34. Bryan Cassady Guest Professor, Bryan@fast-bridge.com Decentralization means everyone in the crowd will try their own approach to the problem rather than having their efforts directed from the top down.
  35. 35. Bryan Cassady Guest Professor, Bryan@fast-bridge.com Mon Tue Wed
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  38. 38. Bryan Cassady Guest Professor, Bryan@fast-bridge.com Brad: (8-8)2 +(10-12)2 +(10-9)2 = 5 Matt: (10-8)2 +(12-12)2 +(8-9)2 = 5 Crowd: (9-8)2 +(11-12)2 +(9-9)2 = 2
  39. 39. Bryan Cassady Guest Professor, Bryan@fast-bridge.com (Brad-Crowd)2 = 1 + 1 + 1 = 3 (Matt-Crowd)2 = 1 + 1 + 1 = 3
  40. 40. Bryan Cassady Guest Professor, Bryan@fast-bridge.com Implication: Diversity can trump skill
  41. 41. Bryan Cassady Guest Professor, Bryan@fast-bridge.com
  42. 42. Bryan Cassady Guest Professor, Bryan@fast-bridge.com “If a group satisfies those conditions [diversity, independence, decentralization, aggregation] , its judgement is likely to be accurate. Why? At heart, the answer rests on a mathematical truism. If you ask a large enough group of diverse, independent people to make a prediction or estimate a probability, and then average those estimates, the errors each of them makes in coming up with an answer will cancel themselves out. Each person’s guess, you might say, has two components: information and error. Subtract the error, and you’re left with the information.” – James Surowiecki
  43. 43. Bryan Cassady Guest Professor, Bryan@fast-bridge.com • Individual ability can grow, but it is hard • Collective diversity is easy to build • Diversity is our best hope to solve problems and to create innovations.
  44. 44. Bryan Cassady Guest Professor, Bryan@fast-bridge.com
  45. 45. Bryan Cassady Guest Professor, Bryan@fast-bridge.com
  46. 46. Bryan Cassady Guest Professor, Bryan@fast-bridge.com Why not just hire an expert… Because, groups usually do better than experts
  47. 47. Bryan Cassady Guest Professor, Bryan@fast-bridge.com BREAK
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  53. 53. Bryan Cassady Guest Professor, Bryan@fast-bridge.com Date Lecture Student Presentation Assignment 11-02-14 The 7 myths of innovation Discussion definition Innovation First thoughts on an Audit/ how will you do it 18-02-14 People: the real source of innovation Group 1: First thoughts on an Audit/ how will you do it Biognosys move into B2C: your team recommendation 25-02-14 Customer focused innovation Group 2: Biognosys move into B2C: your team recommendation Biognosys: How to test potential using research markets 27-02-14 Speed / the myth of first movers Group 3: Biognosys: How to test potential using research markets Nomadesk : what now 11-03-14 IP Class None No assignment 18-03-14 Working together to innovate (co-creation) Group 4: Nomadesk : what now A co-creation plan for the Founders Institute 25-03-14 Innovation ecosystems Group 5: A co-creation plan for the Founders Institute Selling Belgium as an innovation center 01-04-14 Living the life of an innovator/Innovation process Group 6: Selling Belgium as an innovation center No assignment

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