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On optimal leader’s investments strategy in a cyclic model of innovation race with random inventions times. (English) Zbl 1457.91205

Summary: In this paper, we develop a new dynamic model of optimal investments in R&D and manufacturing for a technological leader competing with a large number of identical followers on the market of a technological product. The model is formulated in the form of the infinite time horizon stochastic optimization problem. The evolution of new generations of the product is treated as a Poisson-type cyclic stochastic process. The technology spillovers effect acts as a driving force of technological change. We show that the original probabilistic problem that the leader is faced with can be reduced to a deterministic one. This result makes it possible to perform analytical studies and numerical calculations. Numerical simulations and economic interpretations are presented as well.

MSC:

91B38 Production theory, theory of the firm
91B32 Resource and cost allocation (including fair division, apportionment, etc.)
91B70 Stochastic models in economics

References:

[1] Kuhn, T.; ; The Structure of Scientific Revolutions: Chicago, IL, USA 1970; .
[2] Dosi, G.; Technological paradigms and technological trajectories; Res. Policy: 1982; Volume 11 ,147-162.
[3] Victor, N.M.; DRAMs as model organisms for study of technological evolution; Technol. Forecast. Social Chang.: 2002; Volume 69 ,243-262.
[4] Mukoyama, T.; Innovation, imitation, and growth with cumulative technology; J. Monet. Econ.: 2003; Volume 50 ,361-380.
[5] Porter, M.; ; Competitive Advantage: Creating and Sustaining Superior Performance: New York, NY, USA 1985; .
[6] Levin, R.C.; Klevorick, A.K.; Nelson, R.R.; Winter, S.G.; Appropriating the returns form industrial research and development; Brook. Pap. Econ. Act.: 1987; Volume 3 ,839-916.
[7] Teece, D.J.; Profiting from technological innovation: implications for integration, collaboration, licensing and public policy; Res. Policy: 1986; Volume 15 ,285-306.
[8] Goto, A.; Nagata, A.; ; Appropiability of Innovation and Technological Opportunity: Tokyo, Japan 1997; .
[9] Mansfield, E.; Schwartz, M.; Wagner, S.; Imitation costs and patents: an empirical study; Econ. J.: 1981; Volume 91 ,907-918.
[10] Lieberman, M.B.; Montgomery, D.B.; First-mover advantages; Strateg. Manag. J.: 1988; Volume 9 ,41-58.
[11] Ishida, M.; Matsumara, T.; Matsushima, N.; Market competition, R&D and firm profits in asymmetric oligopoly; J. Ind. Econ.: 2011; Volume 59 ,484-505.
[12] Ofek, E.; Sarvary, M.; R&D, marketing, and the success of next-generation products; Mark. Sci.: 2003; Volume 22 ,355-370.
[13] Parra, Á.; Sequential innovation, patent policy, and the dynamics of the replacement effect; RAND J. Econ.: 2019; Volume 50 ,568-590.
[14] Cohen, M.A.; Eliashberg, J.; Ho, T.-H.; New product development: The performance and time-to-market trade off; Manag. Sci.: 1996; Volume 42 ,173-186. · Zbl 0881.90081
[15] Bayus, B.L.; Speed-to-market and new product performance trade-offs; J. Prod. Manag.: 1997; Volume 14 ,485-497.
[16] Morgan, L.O.; Morgan, R.M.; Moore, W.L.; Quality and time-to-market trade-offs when there are multiple product generations; Manuf. Serv. Oper. Manag.: 2001; Volume 3 ,89-104.
[17] Cohen, M.A.; Eliashberg, J.; Ho, T.-H.; An anatomy of a decision-support system for developing and launching line extensions; J. Mark. Res.: 1997; Volume 34 ,117-129.
[18] Ramdas, K.; Swahney, M.S.; A cross-functional approach to evaluating multiple line extensions for assembled products; Manag. Sci.: 2001; Volume 47 ,22-36.
[19] Paulson Gjerde, K.A.; Slotnick, S.A.; Sobel, M.J.; New product innovation with multiple features and technology constraints; Manag. Sci.: 2002; Volume 48 ,1268-1284.
[20] Souza, G.C.; Bayus, B.L.; Wagner, H.M.; New-product strategy and industry clockspeed; Manag. Sci.: 2004; Volume 50 ,537-549.
[21] Reinganum, J.F.; On the diffusion of new technology: A game theoretic approach; Rev. Econ. Stud.: 1981; Volume 48 ,395-405. · Zbl 0493.90023
[22] Breitmoser, Y.; Tan, J.H.W.; Zizzo, D.J.; Understanding perpetual R&D races; Econ. Theory: 2010; Volume 44 ,445-567. · Zbl 1195.91019
[23] Aghion, P.; Howitt, P.; A model of growth through creative destruction; Econometrica: 1992; Volume 60 ,323-351. · Zbl 0825.90147
[24] Aghion, P.; Bechtold, S.; Cassar, L.; Herz, H.; The causal effects of competition on innovation: experimental evidence; J. Law Econ. Organ.: 2018; Volume 34 ,162-195.
[25] Meissner, D.; Kotsemir, M.; Conceptualizing the innovation process towards the “active innovation paradigm”—Trends and outlook; J. Innov. Entrep.: 2016; Volume 5 ,1-18.
[26] Morone, P.; Taylor, R.; ; Knowledge Diffusion and Innovation. Modelling Complex Entrepreneurial Behaviours: Cheltenham, UK 2010; .
[27] Arrow, K.J.; Kurz, M.; ; Public Investment, the Rate of Return and Optimal Fiscal Policy: Baltimore, MD, USA 1970; .
[28] Baro, R.; Sala-i-Martin, X.; ; Economic Growth: New York, NY, USA 1995; .
[29] Grossman, G.M.; Helpman, E.; ; Innovation and Growth in the Global Economy: Cambridge, MA, USA 1991; .
[30] Carlson, D.A.; Haurie, A.B.; Leizarowitz, A.; ; Infinite Horizon Optimal Control: Determenistic and Stochastic Systems: Berlin, Germany 1991; . · Zbl 0758.49001
[31] Galbraith, J.R.; ; Designing the Innovating Organization: Los Angeles, CA, USA 1999; .
[32] Gnedenko, B.V.; ; The Theory of Probability: New York, NY, USA 1962; .
[33] Intriligator, M.; ; Mathematical Optimization and Economic Theory: New York, NY, USA 1971; . · Zbl 1140.90302
[34] Winter, S.G.; Kaniovski, Y.M.; Dosi, G.; Modeling industrial dynamics with innovative entrants; Struct. Econ. Dyn.: 2000; Volume 11 ,255-293.
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