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INFORMATION SHARING, DELIBERATION, AND COLLECTIVE DECISION-MAKING: A COMPUTATIONAL MODEL OF COLLABORATIVE GOVERNANCE by Taehyon Choi A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (POLICY, PLANNING, AND DEVELOPMENT) May 2011 Copyright 2011 Taehyon Choi
Object Description
Title | Information sharing, deliberation, and collective decision-making: A computational model of collaborative governance |
Author | Choi, Taehyon |
Author email | taehyonc@usc.edu; taehyon.choi@gmail.com |
Degree | Doctor of Philosophy |
Document type | Dissertation |
Degree program | Policy, Planning & Development |
School | School of Policy, Planning, and Development |
Date defended/completed | 2011-01-20 |
Date submitted | 2011 |
Restricted until | Unrestricted |
Date published | 2011-03-11 |
Advisor (committee chair) | Robertson, Peter J. |
Advisor (committee member) |
Heikkila, Eric J. Fulk, Janet |
Abstract | In recent decades, there has been an increase in theoretical attention to collaborative governance as a deliberative decision-making process among stakeholders. Meanwhile, relatively less attention has been paid by scholars to behavioral and procedural aspects of the decision-making process in collaborative governance. The following study was based on group information-processing and decision-making literature in social psychology to develop a decision-making model of collaborative governance. This model conceptualizes collaborative governance as a collective, egalitarian, deliberate, and consensus-oriented decision-making process. Further, this model considers different types of human motivation and biases in information-processing and group decision-making. This researcher employed an agent-based modeling method to design a computational model of the deliberation process in the context of collaborative governance to identify relationships among actors’ social and epistemic motivations; managerial interventions including agenda setting, speaking turn, and forum size; and performance of collaborative governance such as success in reaching consensus, responsiveness of the decision, and mutual learning. The results of the simulation are discussed via nineteen propositions regarding the effects of motivated information-processing behaviors, responsiveness to the public and specific stakeholder groups, authentic dialogue, and managerial intervention. This study concludes by discussing the prospect of an information-processing perspective on collaborative governance. |
Keyword | collaborative governance; information-processing perspective; deliberation, decision-making, agent-based modeling, learning |
Language | English |
Part of collection | University of Southern California dissertations and theses |
Publisher (of the original version) | University of Southern California |
Place of publication (of the original version) | Los Angeles, California |
Publisher (of the digital version) | University of Southern California. Libraries |
Provenance | Electronically uploaded by the author |
Type | texts |
Legacy record ID | usctheses-m3688 |
Contributing entity | University of Southern California |
Rights | Choi, Taehyon |
Repository name | Libraries, University of Southern California |
Repository address | Los Angeles, California |
Repository email | cisadmin@lib.usc.edu |
Filename | etd-Choi-4391 |
Archival file | uscthesesreloadpub_Volume48/etd-Choi-4391.pdf |
Description
Title | Page 1 |
Contributing entity | University of Southern California |
Repository email | cisadmin@lib.usc.edu |
Full text | INFORMATION SHARING, DELIBERATION, AND COLLECTIVE DECISION-MAKING: A COMPUTATIONAL MODEL OF COLLABORATIVE GOVERNANCE by Taehyon Choi A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (POLICY, PLANNING, AND DEVELOPMENT) May 2011 Copyright 2011 Taehyon Choi |