Alternative ways to Market Early‐stage Technologies How to assist ...

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Alternative ways to Market Early‐stage Technologies: How to assist University Spin-off Ventures Akio Nishizawa Professor, Graduate School of Economics & Management, Deputy Director, New Industry Creation Hatchery Center (NICHe), Tohoku University Break-through Innovations play Critical Roles for New Economic Growth in the Knowledge-based Society. Innovation Cycle Break-through Innovations Higher Incomes High-tech Industries Quality Jobs Economic Diversification Inventions emerged from University Research might be the Foremost Seeds for Break-through Innovations. University focuses on Basic Research and Early-stage Technological Development University Industry Commercialization Source:G. Tassey, The Economics of R&D Policy, Quorum Books, 1997, p.76 Big Gap exists between Invention and Innovation. Between Invention and Innovation Invention Patent Functional Business Validation Innovation New business/Firm Viable business Basic Research Proof of Concept / Invention Early-stage Technology Development Product Development Production/ Marketing The Gap, Death Valley, The Darwinian Sea Innovator‟s Dilemma will happen in Existing Companies, when they try to bring Early-stage Technological Invention to the Market. The Innovator’s Dilemma Cannibalism and/or Sunkcost etc. University tries to market its Early-stage Technologies through New Ventures. University Technology-transfer Strategic Model in the US Technology Stage Low Ⅰ. Early Stage Licensing Strategy Sponsored Research: 11% Transfer Destination Large firms High Degree of Technological Resolution Ⅱ. Proof-ofConcept Equity: 17% Ⅲ. Reducedto-Practice New Ventures Degree of Legal Risk (vis-à-vis partners) High Ⅳ. Prototype Cash: 72% Large firms Low Source:G. D. Markman et al. “Entrepreneurship and university-based technology transfer” Journal of Business Venturing, Vol. 20, No. 2, Elsevier, 2005, P.257 Path to bring Early-stage Technologies to the Market through University Spin-off Ventures is still narrower than Normal Tech-transfer. University* Technology Transfer Productivity $2.51M/per disclosure (L. Berneman’s Model applied on AUTM Licensing Survey FY 2003) $38.5 B Research 51.6% 15,355 Disclosures 7,918New Patent Applications 49.6% 29.1% Assessment 25.6% 3,926ssued Patents products Commercialization 4,473Agreements 8.4% 2.4% platforms 374Start-Ups *198Universities+Teaching Hospitals + Research Institutes Newly Start-up Ventures should fill the Gap to survive for Further Growth by exploiting Outside Resources. Valley of Death (AKA The Gap) Family & Friends ($0-25K) Passive Informal Investors ($25-100K) Positive Cash Flow Active Institutional Informal Venture Investors Capitalists ($1M+) ($100-500K) Breakeven Concept Sweat Equity & Personal Savings Working Model Seed Capital PreVenture Capital Venture Capital Sales Product Introduction Engineering Prototype Production Prototype University cannot assist University Spin-off Ventures only by its-self. Business and Academia: Separate but Essential for Value Creation Business Development Talent Capital Management Academia Science Ideas Intellectual Property Who takes Leadership to integrate these Factors Successfully to expedite Further Growth of University Spin-off Ventures in the Region? High-tech City Model Academia Community Talent Technology Capital Know-How Public Sector Business Source: IC2 Institute, UT at Austin How to create this Model? Innovation Cluster/ Key for Success University Spin-off Ventures Integrating Tri-lateral Networks at Incubator Carrier Network Business Angel Network IPO/Strategic Alliance Incubator Getting Positive Cash-flow Higher-growth Entrepreneurs Early-stage Technologies Business Know-how & Information Network Academia-IndustryGovernment Collaboration Platform for Nurturing University Spin-off Ventures by Exploiting Social Capital in each Region Local Business Community State + Local Governments U-I Research Center at Research University Number of University Spin-off Ventures has grown after Completion of the Innovation Clusters in the Regions around the Research Universities in the US. Growth of University Spin-offs in the US 450 400 350 300 250 200 150 100 50 0 198093 94 95 96 97 98 99 2000 2001 2002 2003 Source:AUTM Licensing Survey: FY 2003 424 424 401 374 306 275 212 192 294 202 Univ. Spin-offs 77.9 Creative Class with New-types of Job has emerged through Expanding of High-tech Cities, which are the bases for New Economic Growth in the US. Changing Employment in the US Industrial Sectors 50.0 45.0 40.0 35.0 30.0 25.0 20.0 15.0 10.0 5.0 0.0 1940 1950 1960 1970 1980 1991 1999 Creative Class Manufacturing Services Agriculture Source: R. Florida, The Rise of Creative Class, Basic Book, 2002 High-tech Cities in the US Seattle Minneapolis Madison Portland Salt Lake City Silicon Valley Denver Kalamazoo Ann Arbor Bio Midwest Pittsburgh Boston Los Angeles San Diego Wichita Albuquerque Phoenix Dallas Atlanta Bio Capital Research Triangle Austin Orlando Source: E.Bolland, C. Hofer, p.291, BioSpace.com, Clusters of Innovation etc. Touching upon the Japanese Current Situation of University Spin-off Ventures. METI Growth of University Spin-offs in Japan No. of university Spin-offs 1200 Hiranuma Plan 977 Ministry of Economy, Trade and Industry 1,112 1000 800 600 400 200 0 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 TLO Law The Law on Special Measures for Industrial Revitalization 783 594 429 Science and Technology Basic Law 1000startups 287 201 The Law to strengthen Industrial Technology 98 116 148 Source: METI Survey 2005 Number of University Spin-off Ventures in Japan has grown extraordinarily, but still severe problems to be solved. Lack of Growth Potential for University Spin-offs in Japan METI Ministry of Economy, Trade and Industry While University Spin-offs have been increased in numbers on a nation-wide scale, their sales are far below the average sales of SMEs. The impending challenges to be addressed are to stimulate rapid growth of University Spin-off ventures and to play the role to enhance the economic value of Japan. (\million) Sales of University Spin-offs (FY2003) 250 200 150 241 Average operating income of the companies with capitalization of \10 million or more but less than \20 million* Average operating income of the companies with capitalization of \5 million or more but less than \10 million* 100 103 98.9 90.3 46.7 37.1 48.1 50 18.0 FY‟98 45/48 0 Respondents to the questionnaire No. of companies replied/ No. of questionnaires sent: FY‟99 63/72 FY‟00 106/126 FY‟01 126/150 FY‟02 118/144 FY‟03 42/121 *Data from the National Tax Administration Agency (FY2002) Source: METI Survey FY2003 Lack of “Best & Brightest” for University Spin-offs in Japan METI Ministry of Economy, Trade and Industry University Spin-offs have been suffering especially from the scarcity of human resources necessary for R&D, sales, and marketing. In fact, two-thirds of the University Spin-off Ventures in operation feel lack of high-talented employees, Best & Brightest. (Number of companies*) Types of jobs for which talented people are in shortage. 250 200 150 194 184 100 50 87 66 26 Management planning, Assistant to President 97 46 24 Management of intellectual property rights Legal affairs Accounting and financing 107 23 Marketing Sales and marketing PR, advertising, advertisement 22 Information system 11 Other 17 No answer R&D Manufacturing, production General affairs, personnel 0 *Of the 799 University Spin-offs, 362 respondent companies constitute the parameter. Source: METI Survey FY2003 “ est & Brightest”, Hightalented Human Resource is the Most Critical Factor for Successful Ventures. B Who joins the US High-tech Start-ups/ Accumulating Tacit-knowledge through recruiting Best and Brightest 23% 24% Post-graduates 14% 15% High-school J-college Batcheror Master Doctor 24% Source: E. Bollands & C. Hoffer, Future Firms, Oxford University Press, 1998, p. 167 Who files Patent in Generic Bio-technologies ? (1990〜97) (%) 80 70 60 50 40 30 20 10 0 76 53 US Japan 30 17 11 Big Firms Ventures 13 Univ./R. Inst. Source)JPO White Paper FY 2002 Japanese Economy requires Further Structural Change to create assisting environment for University Spin-off Ventures. From Etatistic to Triple Helix Model Etatistic Model Laissez-faire Model Triple Helix Model Tri-lateral Networks & Hybrid Organizations State Academia Industry State State Academia Industry Academia Industry Structural Change Source) H. Etzkowitz & L. Leydesdorff, The dynamics of innovation: from National Systems and „Mode 2‟ to a Triple Helix of university-industry-government relations” Research Policy, No. 29, Elsevier, P.111 New Challenge for Japan! Thank you for hearing.

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