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Scientific understanding of stakeholders’ behavior in mining community

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  • Masami Nakagawa
  • Kyle Bahr
  • Derek Levy

Abstract

We attempt to understand, scientifically, how different members of the mining concession, impacted communities, and government authorities behave when a conflicting situation arises. The main purpose of our effort is to start developing a framework for the scientific modeling of stakeholders’ behavior, and we create a reality-driven generic scenario of conflict. We assume that the managers and superintendants of a mining operation currently envision a problem; one that tests the limits of the commitment of the company’s mission statement, and of the spectrum of actions taken which are embedded in the “culture” of the company’s corporate social responsibility. It is an “event” that highlights the nature of an overall problem that the company would like to predict and act proactively: the integration of scientific tools, sustainability, and cultural realities within a mining framework. We adapt an agent-based modeling approach and start with a theoretical understanding of certain social behavior, build a model, and simulate “what if” scenarios to understand its dynamics to gain a better insight of the complexity of a seemingly simple social system of interest. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Masami Nakagawa & Kyle Bahr & Derek Levy, 2013. "Scientific understanding of stakeholders’ behavior in mining community," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(2), pages 497-510, April.
    • Handle: RePEc:spr:endesu:v:15:y:2013:i:2:p:497-510
    DOI: 10.1007/s10668-012-9389-x
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    References listed on IDEAS

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    1. Nunberg, Barbara & Barma, Naazneen & Abdollahian, Mark & Green, Amanda & Perlman, Deborah, 2010. "At the frontier of practical political economy : operationalizing an agent-based stakeholder model in the World Bank's East Asia and Pacific Region," Policy Research Working Paper Series 5176, The World Bank.
    2. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
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