Theses and Dissertations

Date of Award

8-2020

Document Type

Thesis

Degree Name

Master of Arts (MA)

Department

Disaster Studies

First Advisor

Dr. Owen Temby

Second Advisor

Dr. William Donner

Third Advisor

Dr. Dongkyu Kim

Abstract

Collaboration among natural resource organizations and users is touted by researchers as an effective approach to managing common pool resources. To understand how collaboration works, previous studies in organizational theory have identified three variables: power, dependence, and risk. Relationships between actors can be represented by these qualifications of resources or threats and may predict if those relationships are in conflict or asymmetric in power. In this study, the Gulf of Maine transboundary fishery management network relied upon a dyadic influenced survey to quantitatively capture the perception of communication ties between organizations. Four kinds of dependence and three types of risk were captured by respondent responses to be used in predictive and descriptive analysis. The patterns presented a network with low risk and high levels of dependence. Dependence and risk were able to significantly predict whether a relationship was in conflict or whether a relationship had feelings of power, with legitimacy and performance as higher rated indicators. The results suggest that policy makers and network designers should foster legitimacy and shun performance failures when evaluating the relationships among management networks.

Comments

Copyright 2020 Derek Katznelson. All Rights Reserved.

https://go.openathens.net/redirector/utrgv.edu?url=https://www.proquest.com/dissertations-theses/predicting-collaboration-risk-power-dependence/docview/2505376348/se-2?accountid=7119

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