The cooperative dynamics of Brazilian Oil and Gas Innovations Systems A Research Proposal
Brazilian legislation for the oil and gas sector stipulates a mandatory R&D investment for Oil and Gas Companies. This so-called Petroleum Law led to the establishment of an Innovation System between Universities, Government and Industry (UGI) in which relations between industry researchers and university professors are the heart of this system. From this perspective, modeling the social dynamics of researchers and professors could be considered a relevant contribution to understand the complex dynamic of this Innovation System. This article presents a research proposal to analyze and simulate the social dynamics of cooperation between researchers and professors through the Complex Adaptive Systems lens, in order to understand and measure the possible effects of the investment policy adopted by Brazilian government .
Bedwell,W. L.,Wildman, J. L., DiazGranados, D., Salazar, M., Kramer,W. S., and Salas, E. (2012). Collaboration at work: An integrative multilevel conceptualization. Human Resource Management Review, 22(2):128–145.
Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Arthur M. Sackler Colloquium of the National Academy of Sciences, 2:7280–7287.
Dougherty, D. (2017). Organizing for innovation in complex innovation systems. Innovation: Management, Policy and Practice, 19(1):11–15.
Etzkowitz, H. and Leydesdorff, L. (2000). The dynamics of innovation: from national systems and “mode 2” to a triple helix of university–industry–government relations. Research policy, 29(2):109–123.
Hatakenaka, S., Westnes, P., Gjelsvik, M., and Lester, R. (2011). The regional dynamics of innovation: A comparative study of oil and gas industry development in stavanger and aberdeen. International Journal of Innovation and Regional Development, 3(3-4):305–323.
Holland, J. H. (2012). Signals and boundaries: Building blocks for complex adaptive systems. MIT Press.
Ladyman, J., Lambert, J., and Wiesner, K. (2013). What is a complex system? European Journal for Philosophy of Science, 3(1):33–67.
Martin, S. and Scott, J. T. (2000). The nature of innovation market failure and the design of public support for private innovation. Research policy, 29(4-5):437–447.
Mittal, S. (2013). Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective. Cognitive Systems Research, 21:22–39.
Nelson, R. R. and Winter, S. G. (2014). Towards an Evolutionary Theory of Economic Change. Harvard University Press.
Rajalo, S. and Vadi, M. (2017). University-industry innovation collaboration: Reconceptualization. Technovation, 62:42–54.
Ranga, M. and Etzkowitz, H. (2015). Triple helix systems: an analytical framework for innovation policy and practice in the knowledge society. In Entrepreneurship and knowledge exchange, pages 117–158. Routledge.
Turchi, L. and De Negri, J. A. (2013). Impactos tecnol´ogicos das parcerias da petrobras com universidades e centros de pesquisa. Impactos tecnol´ogicos das parcerias da Petrobr´as com Universidades, centros de pesquisa e firmas brasileiras.
Wilensky, U. and Rand, W. (2015). An introduction to agent-based modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. The MIT Press.