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The effect of bidirectional opinion diffusion on social license to operate

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Abstract

This is a companion paper to an earlier work in which an agent-based model is proposed by Nakagawa et al. for exploring the emergent phenomena of social license to operate (SLO) of a mining company. In this paper, the structure of the original model is described, along with the enhanced ability for the two-way diffusion of information and opinion among agents. This is achieved through the addition of a global “dialogue” variable, which dictates the extent to which higher influence agents accept opinion from agents of lower influence. Initial findings suggest that the bidirectional diffusion of information has a large effect on the time that the modelling population takes to reach a Social License consensus, and the effect is especially pronounced for low dialogue values. In other words, the Social License of communities characterized by a low preference for dialogue (as opposed to “top-down” mandated communication) will be largely affected by small changes in the preference for dialogue. Findings also suggest that as a modelling community becomes more and more open to dialogue, the effect on the time to consensus becomes less and less pronounced until it becomes negligible at a fairly low dialogue level.

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References

  • Appel, H. C. (2012). “Walls and white elephants: Oil extraction, responsibility, and infrastructural violence in equatorial Guinea.” Ethnography 13(4),439–465. http://eth.sagepub.com/cgi/doi/10.1177/1466138111435741. September 9, 2014.

  • Axelrod, R., & Tesfatsion, L. (2006). A guide for newcomers to agent-based modeling in the social sciences. Handbook of Computational Economics Agent-Based Computation in Economics, 2, 1–13.

    Article  Google Scholar 

  • Boutilier, R. (2009). Stakeholder politics social capital, sustainable development, and the corporation. Stanford, CA: Stanford University Press.

    Google Scholar 

  • Boutilier, R. G. (2014). “Social Licence to Operate: From the Company Department to the Whole Private Sector.” In 25th Annual Meeting of the International Association for Business and Society, Sydney, AU.

  • Bui, T., & Lee, J. (1999). An agent-based framework for building decision support systems. Decision Support Systems, 25(3), 225–237.

    Article  Google Scholar 

  • Cederman, L.-E. (2003). Modeling the size of wars: From billiard balls to sandpiles. American Political Science Review, 97(01), 135–150.

    Article  Google Scholar 

  • Chen, S-H. (2011). “Varieties of agents in agent based computational economics: A historical and interdisciplinary perspective.” Journal of Economic Dynamics and Control, 36(01), 1–25.

    Article  Google Scholar 

  • Chevalier, J. M., & Buckles, D. J. (2008). A guide to collaborative inquiry and social engagement. Thousand Oaks, CA: SAGE Publications Inc.

    Book  Google Scholar 

  • Dougherty, M. L., & Olsen, T. D. (2013). “Taking terrain literally: grounding local adaptation to corporate social responsibility in the extractive industries.” Journal of Business Ethics, 119(3): 423–434. http://link.springer.com/10.1007/s10551-013-1643-0. November 2, 2014.

  • Epstein, J. (2002). “Modeling Civil Violence: An Agent-Based Computational Approach.” Proceedings of the National Academy of Sciences of the United States of America 99 Suppl 3(2): 7243–7250. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=128592&tool=pmcentrez&rendertype=abstract.

  • Fonseca, A., McAllister, M. L., & Fitzpatrick, P. (2014). “Sustainability reporting among mining corporations: A constructive critique of the gri approach.” Journal of Cleaner Production 84, 70–83. http://linkinghub.elsevier.com/retrieve/pii/S0959652612006440. November 12, 2014.

  • Fontana, L. B., & Grugel, J. (2016). “The politics of indigenous participation through ‘Free Prior Informed Consent’: Reflections from the bolivian case.” World Development 77, 249–261. http://www.sciencedirect.com/science/article/pii/S0305750X15002041. October 12, 2015.

  • Fujiono, H. (2011). The diffusion of innovation in the mining industry: Agent-based modeling and simulation, Ph.D. Thesis, Colorado School of Mines.

  • Gardner, K. (2012). Discordant development: Global capitalism and the struggle for connection in bangladesh. London: Pluto Press.

    Google Scholar 

  • Gilbert, N. (2008). Agent-based models. Thousand Oaks, CA: Sage Publications Inc.

    Book  Google Scholar 

  • Granovetter, M. (1978). Threshold models of collective behavior. American Journal of Sociology, 83(6), 1420–1443.

    Article  Google Scholar 

  • Kramer, M., & Porter, M. (2011). “Creating shared value.” Harvard Business Review, 56(2), 130–153.

    Google Scholar 

  • Macal, C. M., & North, M. J. (2005). “Tutorial on agent-based modeling and simulation.” In Winter Simulation Conference.

  • Miller, J. H., & Page, S. E. (2004). The standing ovation problem. Complexity, 9(5), 8–16.

    Article  Google Scholar 

  • Moffat, K., & Zhang, A. (2014). The paths to social licence to operate: An integrative model explaining community acceptance of mining. Resources Policy, 39(1), 61–70. doi:10.1016/j.resourpol.2013.11.003.

    Article  Google Scholar 

  • Nakagawa, M., Bahr, K., & Levy, D. (2012). Scientific understanding of stakeholders’ behavior in mining community. Environment Development and Sustainability, 15(2), 497–510.

    Article  Google Scholar 

  • Nunberg, B., Barma, N., & Abdollahian, M. (2010). At the frontier of practical political economy: Operationalizing an agent-based stakeholder model in the world bank’s East Asia and Pacific Region (Working Paper no. 5176). Retrieved from World Bank Group elibrary website: http://elibrary.worldbank.org/doi/abs/10.1596/1813-9450-5176.

  • Owen, J. R., & Kemp, D. (2014). “‘Free Prior and Informed Consent’, social complexity and the mining industry: Establishing a knowledge base.” Resources Policy 41, 91–100. http://www.sciencedirect.com/science/article/pii/S0301420714000300. February 11, 2016.

  • Prieto-Carron, M. et al. (2006). “Critical perspectives on CSR and development: What we know, what we don’t know, and what we need to know.” International Affairs 82(5): 977–987. http://doi.wiley.com/10.1111/j.1468-2346.2006.00581.x. February 26, 2016.

  • Prno, J., & Slocombe, D. S. (2014). “A systems-based conceptual framework for assessing the determinants of a social license to operate in the mining industry.” Environmental Management 53(3), 672–689. http://www.ncbi.nlm.nih.gov/pubmed/24375075. November 3, 2014.

  • Rajak, D. (2011). In good company: An anatomy of corporate social responsibility. Stanford University Press. http://books.google.com/books?id=YxH9CLm2K6sC.

  • Sobkowicz, P. (2009). Studies of opinion stability for small dynamic networks with opportunistic agents. International Journal of Modern Physics C, 20(10), 1645–1662.

    Article  Google Scholar 

  • Thomson, I., & Boutilier, R. G. (2011). The Social License to Operate In P. Darling (Ed.), SME Mining Engineering Handbook (3rd edn., pp. 673-690). Englewood, CO: Society for Mining, Metallurgy, and Exploration, Inc.

  • Welker, M. (2014). Enacting the corporation. Berkeley, CA: University of California Press.

    Book  Google Scholar 

  • Wilensky, U. (1999). “NetLogo.” http://ccl.northwestern.edu/netlogo/.

  • Zhang, T., & Nuttall, W.J. (2007). “An agent based simulation of smart metering technology adoption.” International Journal of Agent Technologies and Systems, 4(1), 1–38.

    Google Scholar 

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Acknowledgments

The authors would like to thank Minera San Critobal, S. A. for funding and support.

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Correspondence to Kyle Bahr.

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Bahr, K., Nakagawa, M. The effect of bidirectional opinion diffusion on social license to operate. Environ Dev Sustain 19, 1235–1245 (2017). https://doi.org/10.1007/s10668-016-9792-9

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  • DOI: https://doi.org/10.1007/s10668-016-9792-9

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