Granberg A G Osnovi Regionaljnoj Ekonomiki
The central research question of this paper is how a regional or national (spatial) innovation and entrepreneurial ecosystem (SIEES) can function in a sustainable mode under conditions of uncertainty of an external environment. Books Advanced Search New Releases Amazon Charts Best Sellers & More The New York Times® Best Sellers Advanced Search New Releases Amazon Charts Best Sellers &.
• • 566 Downloads • Abstract The central research question of this paper is how a regional or national (spatial) innovation and entrepreneurial ecosystem (SIEES) can function in a sustainable mode under conditions of uncertainty of an external environment. As an attempt to answer this question, the authors consider to approach the idea of sustainable development from the standpoint of a nonlinear dynamic stability of open systems through information exchange. Addressing this issue as a multi-criteria decision problem, the authors integrate the concept of the “Innovative Helix” and its modifications, which are describing the interaction of science, government and business, as well as formal methods of game theory and business simulation games as a basis for modeling the process of sustainable development in a spatial innovation and entrepreneurial ecosystem.
The purpose and interest of the article is to provide input for further discussion on these and other issues related to organizing and governing the interaction of key stakeholders in such arrangements. In practical terms, also a first case study for Russia will be designed and set up for further discussion. • n is the number of players (groups); • Ri is the amount of resources available to player i, i = 1,, n; • m is the number of the innovative projects in the game; • CDminj, CDmaxj are the minimum and the maximum development costs, respectively, of innovative project j, j = 1,, m; • CIminj, CImaxj are the minimum and the maximum production and sales costs, respectively, of innovative project j; • ERj is the expected revenue from project j; • α is the investment return from a risk-free project. In real world situations, the innovations are accompanied by risk and uncertainty.
This game simulates the risks and uncertainties considered at all phases by using a set of random variables (μ, φ, ξ). • Igor N. Dubina • 1 • 2 • David F. J. Campbell • 3 • Elias G. Carayannis • 4 • Anna A. Chub • 5 • Evangelos Grigoroudis • 6 • Olga V. Kozhevina • 7 • 1. Department of International Economics, Mathematical Methods and Business-Informatics Altai State University Barnaul Russia • 2.
Department of Mathematical Methods in Economics Novosibirsk National Research State University Novosibirsk Russia • 3. Alpen-Adria-University Klagenfurt, Faculty for Interdisciplinary Studies (iff), Institute of Science Communication and Higher Education Research (WIHO) Vienna Austria • 4. Department of Information Systems & Technology Management, School of Business The George Washington University Washington USA • 5.