Learning from cognitive feedback mapping and simulation: A group modeling intervention

Authors

  • Peter OTTO Union Graduate College, School of Management
  • William SIEMER Cornell University

Keywords:

, Group model building, decision making, cognitive feedback mapping, simulation.

Abstract

This article extends previously reported work on group model building (GMB) with client groups by demonstrating specific techniques used to implement the GMB approach with public sector professionals. Wildlife agencies are just beginning to use structured decision making tools and rigorous application case studies are lacking.  We address that need by describing and critiquing a GMB intervention that facilitated organizational learning and intergroup communication.  This case illustrates how cognitive feedback mapping and computer simulation can: (1) help natural resource managers challenge their assumptions about coupled human-natural systems; and (2) critically reflect upon the efficacy of their management policies. 

Author Biographies

Peter OTTO, Union Graduate College, School of Management

Peter OTTO is associate professor at the School of Management of the Union Graduate College. He holds an MBA and a PhD in Information Science, with primary specialization in Decision Support Systems, from the University at Albany, New York. His present research focuses on group decision making and online communities.

William SIEMER, Cornell University

William F. SIEMER holds a PhD in Natural Resources from Cornell University.  His current research focuses on processes to enhance systems thinking, learning, and decision making within natural resource management agencies.

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How to Cite

OTTO, P., & SIEMER, W. (2009). Learning from cognitive feedback mapping and simulation: A group modeling intervention. Systèmes d’Information Et Management (French Journal of Management Information Systems), 14(4), 9–30. Retrieved from https://revuesim.org/index.php/sim/article/view/292

Issue

Vol. 14 No. 4 (2009): Special Issue on "Simulation"

Section

Empirical research

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