使用社交网络分析在创新生态系统中协同创造价值创新生态系统网络Martha G Russell, Neil Rubens<br />
创新产生于至少两个人之间。团队精神是必须的。总是有赢家和输家。<br />虽然人们可以随时随地地沟通,但对于复杂的全球性问题,一个人很难在某个时刻具备所有必须的洞察力,从而做出决定。<br />创新是社会性的<br />
一场知识革命正在发生。<br />我们能学些什么去做得更好呢?<br />
http://www.innovation-ecosystems.org<br />创新生态系统网络<br /><ul><li>Martha G Russell, PhD, martha.russell@stanford.edu
Sr. Research Scholar, HSTAR Institute
Associate Director, Media X at Stanford University
Neil Rubens, PhD, neil@hrstc.org
Assistant Professor, Graduate School of Information Systems
University of Electro-Communications, Tokyo
Jukka Huhtamäki, jukka.huhtamaki@tut.fi
Researcher, Lecturer
Hypermedia Laboratory (HLab) of Tampere University of Technology (TUT).
Kaisa Still, PhD, kaisastill@yahoo.com
Knowledge Management Specialist
Beijing DT Electronic Technology Co., Ltd
Mario Gastel, mariogastel@zeelandnet.nl
Graduate student, Texas Advertising, UT Austin
Fulbright Scholar (2009-11)
Jiafeng (Camilla) Yu, camillayu@gmail.com
M.A. in Advertising in Planning Track
The University of Texas at Austin</li></li></ul><li>http://www.flickr.com/photos/ritavitafinzi/2192500407/<br />
“没有一种数据可以与拥有更多的数据媲美”<br />(Mercer at Arden. House, 1985)<br />“There is no data like more data” <br />(Mercer at Arden. Ho...
更多的维度:一把双刃剑<br />对数据的需求量增多<br />http://wissrech.ins.uni-bonn.de/research/projects/engel/engelpr2/pr2_thumb.jpg<br />能较容易地找...
http://4.bp.blogspot.com/_qFju91K89HM/SxRpABd1DTI/AAAAAAAABjw/6LaSJfjfk-I/s1600/Unexpected_Guests.jpg<br />http://successb...
http://www.flickr.com/photos/manpsing/2618332693/<br />http://www.fabcats.org/owners/feeding/info.html<br />被动获取<br />主动猎取...
.<br />创新生态系统的数据库<br />35,000 companies include:<br />Sectors: Advertising, biotech, cleantech, consulting, ecommerce, ent...
新型的组织架构图<br />
创新的模式<br />从组织到单独的用户到联网的个体<br />eClusters<br />?<br />
创新的地点<br />从地方到区域到虚拟共享空间<br />Innovation Acceleration<br />Networks<br />?<br />
亟待更新<br />区域科技产业经济发展<br />“全球的商业地图被越来越多的区域集中化的公司群体,其相关的经济人和机构所占据。”<br />The Use of Data and Analysis as a tool for cluster...
.<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Pl...
# 公司数<br /># 人数<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of...
.<br />美国科技公司的数量<br />按行业划分,2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social ...
.<br />美国科技公司的数量<br />广告和网络,2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovat...
.<br />美国科技公司的数量<br />清洁科技和生物科技,2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Inn...
.<br />科技公司的数量<br />硅谷, 按行业划分, 2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Inno...
.<br />科技公司的数量<br />西雅图, 按行业划分, 2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Inn...
.<br />科技公司的数量<br />华盛顿特区, 按行业划分,  2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the ...
.<br />科技公司的数量<br />纽约, 按行业划分, 2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Inno...
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Identifying Value Co-creation in Innovation Ecosystems Using Social Network Analysis (Chinese)

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“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.

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  • Please think of several patterns and outliers in bicicles picture.ASK AUDIENCE---So let me just mention a few:Color is one of the patters that jumps out right awayFor example there is a lot of aluminum colorsYellow bike jumps out as an outlierIf we look closer we may also notice that there is only one bike where the handles are greenOnly a few bikes have their seat covered with plasticBikes are more or less lined upThere is a bike that is facing the wrong way though----------Even in these small dataset there are so many patterns and outliersBut how many of them are interesting; that really depends.We try to find patterns that are novel; since telling people that bicycles tend to have two wheels is perhaps not so interesting.What is interesting also depends on the purpose;A person checking whether bicycles have permit for parking – is looking for a specific outliersWhen I look for my own bike; I have a different outlier in mindSo ability to spot things that are interesting is extremely important.Outliers are normally discarded in data mining …Because you are often trying to find a pattern, and outliers screw up things.In business, some outliers have become very successful as described in the following book.So we thing it is interesting to look not only for patterns but also for outliers
  • Can’t do data mining without the data; so we need data and the more the better – since then we can see patterns more clearly
  • Also when we have more dimensions it is easier to spot patterns
  • My name is Neil Rubens, I am not a journalist; I am a data miner – but I think in essense it is not so different.
  • It is rare that the data is simply brought to us on a silver platterWe have to try hard to actively acquire it
  • Now let me briefly describe a case of how we utilized the above mentioned principles.In our project we try to understand innovation, so have gathered the data on companies, people and money.What makes this data set different, besides its timeliness is the majority of data (thanks to social media) is about small companies having between 1 – 5 employees.A lot of innovation happens there so it is important to track.
  • This shows how the models of innovations have evolved reflecting the changes
  • This shows how we have evolved from the local/regional activities
  • At the core of this research we have what initially were called “regional technology-based economic development”– however each of the three parts has experienced changes, which calls for updating the whole concept
  • This map indicates the location of the companies. Size of circle indicates number of companies.For this part of analysis we have used Tableau Software.
  • We can also look at the companies by sector
  • We can try to analyze relations between sectors; here are the advertising and web sectorsA lot of things going on in Silicon Vaelly; but also in the North East and other parts
  • Here is the biotech and cleantech
  • We can also at specific cities and regionsSV looks very interesting
  • This is seattle
  • DC
  • And NY
  • So as you can see the patters are very different from city to city
  • So far I have shown analysis based on the spatial distance;However the aspects of distance is changing;We don’t know where these people are physically located but they seem to be in the same space.
  • So the new maps may be based on the connections; rather than on distance.For this analysis we have utilized an open source tool called NodeXL
  • -------------------------http://www.bbsservicesinc.com/sitebuildercontent/sitebuilderpictures/world-map.gifPartners: Government agenciesEducational institutionsSME’s Services &amp; consultanciesVenture groupsLarge organizations   Data points:PatentsLicensesJobsPublicationsCitationsResource flows – investments, sales, valuations-----------------ChinaJapan – JSTNYC – NYC MediaLabAustin – MCC, SematechMpls/St.P – Finland – TEKKES, FINNODEAbuDhabi
  • Identifying Value Co-creation in Innovation Ecosystems Using Social Network Analysis (Chinese)

    1. 1. 使用社交网络分析在创新生态系统中协同创造价值创新生态系统网络Martha G Russell, Neil Rubens<br />
    2. 2. 创新产生于至少两个人之间。团队精神是必须的。总是有赢家和输家。<br />虽然人们可以随时随地地沟通,但对于复杂的全球性问题,一个人很难在某个时刻具备所有必须的洞察力,从而做出决定。<br />创新是社会性的<br />
    3. 3. 一场知识革命正在发生。<br />我们能学些什么去做得更好呢?<br />
    4. 4. http://www.innovation-ecosystems.org<br />创新生态系统网络<br /><ul><li>Martha G Russell, PhD, martha.russell@stanford.edu
    5. 5. Sr. Research Scholar, HSTAR Institute
    6. 6. Associate Director, Media X at Stanford University
    7. 7. Neil Rubens, PhD, neil@hrstc.org
    8. 8. Assistant Professor, Graduate School of Information Systems
    9. 9. University of Electro-Communications, Tokyo
    10. 10. Jukka Huhtamäki, jukka.huhtamaki@tut.fi
    11. 11. Researcher, Lecturer
    12. 12. Hypermedia Laboratory (HLab) of Tampere University of Technology (TUT).
    13. 13. Kaisa Still, PhD, kaisastill@yahoo.com
    14. 14. Knowledge Management Specialist
    15. 15. Beijing DT Electronic Technology Co., Ltd
    16. 16. Mario Gastel, mariogastel@zeelandnet.nl
    17. 17. Graduate student, Texas Advertising, UT Austin
    18. 18. Fulbright Scholar (2009-11)
    19. 19. Jiafeng (Camilla) Yu, camillayu@gmail.com
    20. 20. M.A. in Advertising in Planning Track
    21. 21. The University of Texas at Austin</li></li></ul><li>http://www.flickr.com/photos/ritavitafinzi/2192500407/<br />
    22. 22. “没有一种数据可以与拥有更多的数据媲美”<br />(Mercer at Arden. House, 1985)<br />“There is no data like more data” <br />(Mercer at Arden. House, 1985)<br />Tan, Steinbach, Kumar; 2004<br />2,000 个点<br />500 个点<br />8,000 个点<br />
    23. 23. 更多的维度:一把双刃剑<br />对数据的需求量增多<br />http://wissrech.ins.uni-bonn.de/research/projects/engel/engelpr2/pr2_thumb.jpg<br />能较容易地找出模式<br />http://www.iro.umontreal.ca/~bengioy/yoshua_en/research_files/CurseDimensionality.jpg<br />
    24. 24. http://4.bp.blogspot.com/_qFju91K89HM/SxRpABd1DTI/AAAAAAAABjw/6LaSJfjfk-I/s1600/Unexpected_Guests.jpg<br />http://successbeginstoday.org/wordpress/wp-content/unexpected2.jpg<br />
    25. 25. http://www.flickr.com/photos/manpsing/2618332693/<br />http://www.fabcats.org/owners/feeding/info.html<br />被动获取<br />主动猎取<br />
    26. 26. .<br />创新生态系统的数据库<br />35,000 companies include:<br />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.<br />Investment profiles from Ltd to public, financing rounds identified<br />Merger & Acquisition profiles<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    27. 27. 新型的组织架构图<br />
    28. 28. 创新的模式<br />从组织到单独的用户到联网的个体<br />eClusters<br />?<br />
    29. 29. 创新的地点<br />从地方到区域到虚拟共享空间<br />Innovation Acceleration<br />Networks<br />?<br />
    30. 30. 亟待更新<br />区域科技产业经济发展<br />“全球的商业地图被越来越多的区域集中化的公司群体,其相关的经济人和机构所占据。”<br />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<br />“有时一个产业群体中的成员分布于全球不同区域,但他们可以通过信息和通讯技术联系在一起... 所以人们会用“e-群体“去形容它们” <br />Danese, Filippini, Romano, Vinelli 2009<br />“科技化的趋势正在带动发达市场经济中产生更多的创新。”Baldwin & von Hippel November 2009, Harvard Business School Working Paper 10-038<br />“各地的政府部门在积极地采取措施,加强国家的创新体系。因为他们都意识到要想成为经济发展的领军者及加强国际竞争力,创新能力和商业化高科技产品的能力发挥着日益重要的作用。”Understanding Research, Science and Technology Parks: Global Best Practices, National Research Council of the National Academies, Report 2009<br />
    31. 31. .<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    32. 32. # 公司数<br /># 人数<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    33. 33. .<br />美国科技公司的数量<br />按行业划分,2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    34. 34. .<br />美国科技公司的数量<br />广告和网络,2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” <br />Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business.<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    35. 35. .<br />美国科技公司的数量<br />清洁科技和生物科技,2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” <br />Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business.<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    36. 36. .<br />科技公司的数量<br />硅谷, 按行业划分, 2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” <br />Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business.<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    37. 37. .<br />科技公司的数量<br />西雅图, 按行业划分, 2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” <br />Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business.<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    38. 38. .<br />科技公司的数量<br />华盛顿特区, 按行业划分, 2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” <br />Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business.<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    39. 39. .<br />科技公司的数量<br />纽约, 按行业划分, 2009年12月<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” <br />Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business.<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    40. 40. 纽约<br />硅谷<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Behind the Innovation Curtain: Mobile Players and Their Moves.” <br />Submitted to the International Conference on Mobile Business,” Intl Conf on Mobile Business.<br />波士顿<br />西雅图<br />Neil Rubens, Kaisa Still, Jukka Huhtamaki, Martha G. Russell “Leveraging Social Media for Analysis of Innovation Players and Their Moves” <br />Technical Report. Media X, Stanford University, Feb.2010.<br />
    41. 41. 距离<br />过去<br />现在<br />
    42. 42. 新的地图应该是建立在各种联系上-而不是距离上。<br />
    43. 43. 清洁技术<br />Kaisa Still, Neil Rubens, JukkaHuhtamäki, and Martha G. Russell ,<br /> “Networks of Executive Women in Technology-Based Innovation Ecosystems,” Technical Report , Media X, Stanford University, May.2010.<br />
    44. 44. 生物技术<br />Kaisa Still, Neil Rubens, JukkaHuhtamäki, and Martha G. Russell ,<br /> “Networks of Executive Women in Technology-Based Innovation Ecosystems,” Technical Report , Media X, Stanford University, May.2010.<br />
    45. 45. 公关<br />Kaisa Still, Neil Rubens, JukkaHuhtamäki, and Martha G. Russell ,<br /> “Networks of Executive Women in Technology-Based Innovation Ecosystems,” Technical Report , Media X, Stanford University, May.2010.<br />
    46. 46. 网络<br />Kaisa Still, Neil Rubens, JukkaHuhtamäki, and Martha G. Russell ,<br /> “Networks of Executive Women in Technology-Based Innovation Ecosystems,” Technical Report , Media X, Stanford University, May.2010.<br />
    47. 47. 角色<br />首席技术官<br />投资者<br />首席市场官<br />创始人<br />Kaisa Still, Neil Rubens, JukkaHuhtamäki, and Martha G. Russell ,<br /> “Networks of Executive Women in Technology-Based Innovation Ecosystems,” Technical Report , Media X, Stanford University, May.2010.<br />
    48. 48. 进出中国的投资环境<br />社交架构的数据,英文,开放式-在中国都是挑战。<br />创新生态系统数据库<br /><ul><li>323个科技产业公司,在中国拥有一个和多个办事地点
    49. 49. 42个中国投资公司,77个外商投资公司
    50. 50. 54亿美元的投资进入中国
    51. 51. 31亿美元的投资来自中国</li></ul>洞察:<br />进出中国的金融资源的流动<br />更多说明性而非描述性/观点性的结果<br />NodeXL, Tableau<br />Innovation Ecosystem Network<br />
    52. 52. 初步数据分析:<br />53% (113) 的中国企业属于eCIS行业<br />50 % (66) 的外商公司属于eCIS行业<br />进一步洞察:<br />流入和流出中国的投资模式及其不同的特点<br />具体: eCIS行业环境电子商务和电子安全系统=电子商务, 软件研究, 网络存取, 移动, 游戏和录影, 企业<br />Innovation Ecosystem Network<br />
    53. 53. 网络标准<br />Innovation Ecosystem Network<br />
    54. 54. 快速收获来自中国的投资(进行投资)<br />Innovation Ecosystem Network<br />
    55. 55. 慢慢耕耘进入中国的投资(获得投资)<br />Innovation Ecosystem Network<br />
    56. 56. 投资公司连接起的新兴中国商业群<br />Innovation Ecosystem Network<br />
    57. 57. 讨论<br />数据,工具,问题<br />Innovation Ecosystem Network<br />
    58. 58. 创新生态系统体制<br />Applied Research Initiative on Data-driven Visualization of Innovation Ecosystems for Local and Global Innovation Accelerators<br />Neil Rubens, neil@hrstc.org<br />Jukka Huhtamäki, jukka.huhtamaki@tut.fi<br />Kaisa Still, kaisastill@yahoo.com<br />Martha Russell, martha.russell@stanford.edu<br />数据和分析<br />前提<br />结成联盟是能促进成功的.<br />成功的因素是可识别的.<br />分析和比较不同国家形成国际联盟的过程和由此产生的结果。<br />[美国, 中国, 日本, 芬兰, 等等]<br />国家数据库中的公司,人员,资源流动F和交易。<br />网络分析,确立模式,利益相关者的访问.<br />数据伙伴,分析伙伴, 及社区实践者的伙伴。<br />信息传播 FTF 和虚拟空间. <br />目标<br />已建立的体制<br />新的体制<br />[Deighton, Quelch, 2009]<br />1990<br />2000<br />1980<br />政府<br />行业<br />学院<br />Triple Helix<br />[Russell 2008]<br />[Smith, Powell, 2004]<br />[Tekes]<br />

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