“Identifying Value Co-creation in Innovation Ecosystems Using Social Network Analysis,” Inaugural Lecture: Innovation Forum. Hong Kong University of Science and Technology. August 2, 2010.

1. Identifying Value Co-creation in Innovation Ecosystems Using Social Network AnalysisInnovation Ecosystems Network,Martha G Russell, Neil Rubens

2. Innovation takes at least two.Team skills are required.There are winners and loosers. Although people can communicate anywhere, anytime, it’s difficult for anyone to have all the insights necessary at any one time for major decisions on the complex global issues Innovation is Social

3. The Knowledge Revolution is here. What can we learn to improve our play?

5. Sr. Research Scholar, HSTAR Institute

6. Associate Director, Media X at Stanford University

7. Neil Rubens, PhD, neil@hrstc.org

8. Assistant Professor, Graduate School of Information Systems

9. University of Electro-Communications, Tokyo

10. Jukka Huhtamäki, jukka.huhtamaki@tut.fi

11. Researcher, Lecturer

12. Hypermedia Laboratory (HLab) of Tampere University of Technology (TUT).

13. Kaisa Still, PhD, kaisastill@yahoo.com

14. Knowledge Management Specialist

15. Beijing DT Electronic Technology Co., Ltd

16. Mario Gastel, mariogastel@zeelandnet.nl

17. Graduate student, Texas Advertising, UT Austin

18. Fulbright Scholar (2009-11)

19. Jiafeng (Camilla) Yu, camillayu@gmail.com

20. M.A. in Advertising in Planning Track

22. “There is no data like more data” (Mercer at Arden. House, 1985) “There is no data like more data” (Mercer at Arden. House, 1985) Tan, Steinbach, Kumar; 2004 2,000 points 500 Points 8,000 points

23. Higher Dimensions: Double Edged Sword More Data is Need http://wissrech.ins.uni-bonn.de/research/projects/engel/engelpr2/pr2_thumb.jpg Could be easier to find patterns http://www.iro.umontreal.ca/~bengioy/yoshua_en/research_files/CurseDimensionality.jpg

24. http://4.bp.blogspot.com/_qFju91K89HM/SxRpABd1DTI/AAAAAAAABjw/6LaSJfjfk-I/s1600/Unexpected_Guests.jpg http://successbeginstoday.org/wordpress/wp-content/unexpected2.jpg

25. http://www.flickr.com/photos/manpsing/2618332693/ http://www.fabcats.org/owners/feeding/info.html Passive Intelligence Active Intelligence

26. . Innovation Ecosystems Dataset 35,000 companies include: Sectors: Advertising, biotech, cleantech, consulting, ecommerce, enterprise, games_video, hardware, legal, mobile, network_hosting, public relations, search, security, semiconductor, software, web, other firms serving these. Investment profiles from Ltd to public, financing rounds identified Merger & Acquisition profiles Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

27. The New Organizational Chart

28. Models of Innovation From organizations to single users to networked individuals eClusters ?

29. The Place for Innovation From localized to regional to virtual shared spaces Innovation Acceleration Networks ?

30. Need for Updating Regional technology-based economic development “The global map of businesses is increasingly dominated by geographically concentrated groups of companies and related economic actors and institutions” The Use of Data and Analysis as a tool for cluster policy, Green Paper on international best practices and perspectives prepared for the European Commission, November 2008 “Members of a cluster can be sometimes located worldwide, but linked through information and communication technologies… the term e-cluster is used” Danese, Filippini, Romano, Vinelli 2009 “Technological trends are causing a change in the way innovation gets done in advanced market economies”Baldwin & von Hippel November 2009, Harvard Business School Working Paper 10-038 “Recognizing that a capacity to innovate and commercialize new high-technology products is increasingly a part of the international competition for economic leadership, governments around the world are taking active steps to strengthen their national innovation systems”Understanding Research, Science and Technology Parks: Global Best Practices, National Research Council of the National Academies, Report 2009

31. . Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

32. # of Companies # of People Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

33. . Number of US Technology-based companies By sector, Dec 2009 Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

34. . Number of US Technology-based companies Advertising & Web, Dec 2009 Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business. Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

35. . Number of US Technology-based companies Biotech & Cleantech, Dec 2009 Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business. Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

36. . Number of Technology-based companies In Silicon Valley by sector, Dec 2009 Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business. Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

37. . Number of Technology-based companies In Seattle by sector, Dec 2009 Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business. Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

38. . Number of Technology-based companies In DC by sector, Dec 2009 Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business. Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

39. . Number of Technology-based companies In New York City by sector, Dec 2009 Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business. Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

40. NYC Silicon Valley Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business. Boston Seattle Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” Technical Report. Media X, Stanford University, Feb.2010.

41. Distance Old New

42. The new maps may be based on the connections - rather than on distance.

43. CleanTech Kaisa Still, Neil Rubens, JukkaHuhtamäki, and Martha G. Russell , “Networks of Executive Women in Technology-Based Innovation Ecosystems,” Technical Report , Media X, Stanford University, May.2010.

44. BioTech Kaisa Still, Neil Rubens, JukkaHuhtamäki, and Martha G. Russell , “Networks of Executive Women in Technology-Based Innovation Ecosystems,” Technical Report , Media X, Stanford University, May.2010.

45. PR Kaisa Still, Neil Rubens, JukkaHuhtamäki, and Martha G. Russell , “Networks of Executive Women in Technology-Based Innovation Ecosystems,” Technical Report , Media X, Stanford University, May.2010.

46. Web Kaisa Still, Neil Rubens, JukkaHuhtamäki, and Martha G. Russell , “Networks of Executive Women in Technology-Based Innovation Ecosystems,” Technical Report , Media X, Stanford University, May.2010.

47. Roles CTOs Investors CMOs Founders Kaisa Still, Neil Rubens, JukkaHuhtamäki, and Martha G. Russell , “Networks of Executive Women in Technology-Based Innovation Ecosystems,” Technical Report , Media X, Stanford University, May.2010.

49. 42 Chinese, 77 foreign investment firm

50. Investment into China US$ 5.4 B

51. Investment originating from ChinaUS$ 3.1 BInsights explored: The flow of financial resources into and out of China More illustrative than descriptive/prescriptive results NodeXL, Tableau Innovation Ecosystem Network

52. Initial Data Analysis: 53% (113) of the Chinese companies from eCIS business sector 50 % (66) of the foreign companies are from the eCIS business sector Toward Insights about: Patterns and differences in the characteristics of investment flows into and from China More Specific: Context of eCIS sectoreCommerce and electronic security=eCommerce, software search, network hosting, mobile, games &video, enterprise Innovation Ecosystem Network

53. Network metrics Innovation Ecosystem Network

54. HARVESTInvestments from Chinese (making investments) Innovation Ecosystem Network

55. CULTIVATIONInvestments into China (receiving investments) Innovation Ecosystem Network

56. Emerging Chinese business clusters linked by investment firms Innovation Ecosystem Network

57. Discussion Data, Tool, Question Innovation Ecosystem Network

58. INNOVATION ECOSYSTEMS INITIATIVE Applied Research Initiative on Data-driven Visualization of Innovation Ecosystems for Local and Global Innovation Accelerators Neil Rubens, neil@hrstc.org Jukka Huhtamäki, jukka.huhtamaki@tut.fi Kaisa Still, kaisastill@yahoo.com Martha Russell, martha.russell@stanford.edu Data and Analysis Hypothesis Formation of alliances is a catalyst for success. Success factors can be identified. Analyze & compare intl alliance formation across different countries and their effects. [USA, China, Japan, Finland, etc.] Federated datasets of companies, people, resource flows, and deals. Network analysis, pattern recognition, and stakeholder interviews. Data partners, analysis partners, and community-of-practice partners. Information dissemination FTF and virtual. Goal Established initiatives New initiatives [Deighton, Quelch, 2009] 1990 2000 1980 government industry academia Triple Helix [Russell 2008] [Smith, Powell, 2004] [Tekes]