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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rsjbmcx3izab7evhow6stmoknm" style="color: black;">Global Strategy Journal</a>
I present a decision process framework that informs the design and implementation of stakeholder influence strategy. This process combines insights from agent-based dynamic utility and dynamic network processes. Stakeholders strategically seek an outcome as close as possible to their preferred point but also wish to be on the winning side and not to pursue positions divergent from stakeholders with whom they have strong affective ties. Simulation analysis highlights important effects from<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/j.2042-5805.2013.01064.x">doi:10.1111/j.2042-5805.2013.01064.x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d55ncmklefcqhi4h442kffxxu4">fatcat:d55ncmklefcqhi4h442kffxxu4</a> </span>
more »... ing stakeholders within such an interdependent policymaking network. The resulting decision process framework can be used by firms to assess the likely dynamics within such a stakeholder network as well as to compare alternative treatments to that network for their efficacy in securing a favorable policy outcome, collective decision, or shift in group opinion. Special thanks to Alan Kelly for his feedback on and input into the formalization of his decisionmaking framework (Kelly, 2006) , Marc Ramsey for long hours and great patience in developing, programming and implementing the simulation analysis, the financial and intellectual support from the Collaboratory for Research on Global Projects at Stanford University and the students of CEE 341 "Politics and Infrastructure Investment" at Stanford University. ABSTRACT I present a decision process framework that informs the design and implementation of influence strategy. This process combines insights from agent-based dynamic utility and agent-based dynamic network processes as well as an existing decision framework for stakeholder influence strategies that lacks these micro-foundations.
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