TMitTI 1 Timetable 16.9. Introduction, Sakari Luukkainen 23.9. Technology Marketing, Jari Haggren 30.9. Market Dynamics of Telecom Industry, Sakari Luukkainen 7.10. Standardization, Sakari Luukkainen 14.10. Case GSM, Sakari Luukkainen 21.10. Product Strategy, Eino Kivisaari 28.10. Product Strategy, Eino Kivisaari 4.11. R & D Management, Sakari Luukkainen 11.11. R & D Management, Case TeliaSonera, Jyrki Härkki 18.11. Corporate Venturing, Case Nokia, Taina Tukiainen 25.11 Technology Foresight, Sakari Luukkainen 9.12. Examination © Sakari Luukkainen TMitTI 2 R&D Life Cycle € R&D investment Time Science base Proprietary Generic technologies technologies © Sakari Luukkainen Production scale-up TMitTI 3 R&D Life Cycle € R&D investment Commercialization investment Time Science base Proprietary Generic technologies technologies © Sakari Luukkainen Production scale-up TMitTI 4 R&D Life Cycle € Commercialization investment R&D investment Cash flow Science base Proprietary Generic technologies technologies © Sakari Luukkainen Sales Time Production scale-up Market penetration TMitTI 5 Classification of R&D Type of R&D Probability of technical success Incremental Discontinuous Fundamental 40-80% 20-40% Small, difficult to assess Time to completion 0,1-2 years 2-4 years 5-10 years Competitive potential Modest, but necessary Large Large, difficult to assess Durability of competitive advantage Short, imitable by competitors Long, protectable by patents Long but risky © Sakari Luukkainen Source: adapted from Pitkänen 2000, ADL 1991 TMitTI 6 Technology strategy process in firms Autonomous strategic action Strategic context Concept of corporate strategy Induced strategic action Structural context © Sakari Luukkainen Source: Burgelman & Rosenbloom Overcommitment increase R&D cost and destroys productivity TMitTI 7 Average value added time for engineering tasks 100 % 60 % 1 2 3 © Sakari Luukkainen 4 Number of projects per engineer Source: Henderson TMitTI 8 R&D process in firms Technological change Technology Assessment and Forecasting Idea generation and screening Diversified portofolio of Project Plans Project execution and evaluation Market Assessment and Forecasting Market change © Sakari Luukkainen TMitTI 9 Goals of R&D Management Production ICT investment Innovation Proprietary technologies Value added Sales, profit R&D investment Generic technologies Science base © Sakari Luukkainen GDP TMitTI 10 Goals of Technology Policy • 2001 R&D investments in Finland were 5 billion € of which was publicly financed 28 %, major R&D performed in telecom sector • Technology policy differs from the other policies, because it tryis to "increase the cake" instead of sharing it • The most important reasons for too low a level of the private R&D investments are due to the high technical and commercial risks involved • The government´s initiative is thus emphasized in the case of R&D underinvestment in the private sector • In order to redress this kind of market failure the industrial countries have contributed to their technological infrastructure to support the long-term competitiveness of domestic companies © Sakari Luukkainen TMitTI 11 Goals of Technology Policy • Companies make their decisions of the R&D investments aiming at maximizing profits • Therefore, at least in big companies, the risk is divided into the portfolios of many different R&D projects, all of which are required greater profitability than other less risky projects like the expansion of the present production facilities • This all results in the companies beginning to favour R&D projects with a short time to market influence. • Therefore the goal of technology policy is to maximize the influence of such R&D investments on the growth of GDP, which would not be realised without support, but would greatly benefit society © Sakari Luukkainen TMitTI 12 Goals of Technology Policy • Spillover means practically a situation where investment in the technology of an innovator also benefits other companies • Economists have demonstrated that R&D performed by the original innovating company generates widespread value in the economy through spillovers • The key factor in the development of the industrial structure and advancement of spillovers is the efficiency of the whole domestic value chain (cluster) • Concrete technology policy occurs in the selection of publicly financed R&D projects © Sakari Luukkainen TMitTI 13 R&D Investment Profitability Evaluation Net Present Value (NPV, DCF) p JAp St ( 1 i )t ( 1 i ) t m m p - t 1 Ht ( 1 i )t Internal Rate of Return (RoR, IRR) p m JAp Ht St t p t ( 1 RoR ) ( 1 RoR ) ( 1 RoR ) t m t 1 © Sakari Luukkainen TMitTI 14 RoR calculation formula p m JAp Ht St t p t ( 1 RoR ) ( 1 RoR ) ( 1 RoR ) t m t 1 m = the length of the R&D project n = the length of the product life-cycle p=m+n St = net cash flow after the market introduction RoR = rate of return Ht = annual R&D expenditure JAp = residual value © Sakari Luukkainen TMitTI 15 Example value chain Supplier A Firm B Customer C Supplier D Firm E Customer F Supplier G Firm H Customer I Supply chain Core industry © Sakari Luukkainen Services TMitTI 16 R&D financing by type of project Social rate of return A D B Social hurdle rate C E Innovator hurdle rate © Sakari Luukkainen Innovator rate of return Source: Tassey 1997 TMitTI 17 R&D management by milestones Social rate of return At1 At21 A t3 Social hurdle rate At22 Innovator hurdle rate © Sakari Luukkainen Evaluation of - profitability - technical risk - delay Decisions on - continue - modify - kill / freeze Innovator rate of return Source: Tassey 1997 TMitTI 18 Stock Profit Options Pay-out Value of an option Option pay-out Strike price Excess risk of stock ownership Profit / Loss form Stock sale Stock Price © Sakari Luukkainen Source: Gaynor 2003 TMitTI 19 Real options R&D valuation Initial R&D Investment Decision R&D Commercialization Outcome Decision Excellent Yes -$6M Yes 0.6 Good 0.1 No Valuation Method DCF #1: Use most likely values DCF #2: Consider market uncertainty DCF #3: Consider all uncertainties Options Thinking Valuation Yes 0.8 -$15M 0.2 No 0.3 Market Outcome +$60M -$15M +$20M 0.3 0.7 Poor NPV - $11.4 - $9.0 - $5.4 + $2.2 © Sakari Luukkainen +$10M -$15M No Yes +$15M 0.1 -$15M 0.9 No 1993 1994 -$60M 1995 - 6 -(15/1.12) + (10/1.122) - 6 -(15/1.12) + (0.3*20+0.7*10)/1.122 - 6 -(15/1.12) + 0.3(0.8*….)/1.122 - 6 -0.3*(15/1.12)+0.3*((0.8*60+0.2*15)/1.122)) Source: Faulkner 1996 TMitTI 20 Product platforms and modularity Product 3 Segment A Product 1 Product 1B Product 1C Product 1A Product 2 Segment B Product 5 Segment C Element A Element B Element C Source: McGrath 2001 © Sakari Luukkainen TMitTI 21 R&D Intensity by Country © Sakari Luukkainen Source: Tekes, OECD TMitTI 22 Finnish Innovation System © Sakari Luukkainen Source: Tekes TMitTI 23 Evaluation of the Innovation System • R&D investments of industry has been successfull - R&D expenditures correlate highly with growth of sales of new products i.e. innovations • The support of GSM development has created a lot of direct success as well as spillovers in the telecluster • The role of basic research has been low in the ICT business so far • The effect of public financing has had a significant but limited effect, it works in firms that already have high R&D intensity – successful R&D requires process knowledge (Niininen 1999) © Sakari Luukkainen TMitTI 24 Evaluation of the Financing System • Subsidized loans have better effect on productivity than direct support – easy money effect (Niininen 1999) • The role of liquidity constraints was negligible in determining R&D investment – steady R&D spending (Niininen 1999) • Venture capital financing has so far resulted in a very few new success stories • Financing by own cashflow puts more pressures to allocate R&D according to market need © Sakari Luukkainen
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