Matching Items (2)
Description

In this project, I analyze representative samples from three different fashion brands’ sustainability-related informational materials provided to the public through their websites, annual reports, and clothing tags that promote the company’s environmental initiatives. The three companies were chosen because they each represent global fashion- they are all extremely large, popular,

In this project, I analyze representative samples from three different fashion brands’ sustainability-related informational materials provided to the public through their websites, annual reports, and clothing tags that promote the company’s environmental initiatives. The three companies were chosen because they each represent global fashion- they are all extremely large, popular, and prevalent brands. These materials are evaluated against three frameworks for identifying deceptive greenwashing claims. I identify instances in which these frameworks are successful in categorizing deceptive claims from these companies as well as instances in which they appear to be vulnerable. To address the vulnerabilities I discover in the three existing frameworks for identifying greenwashing, I propose six new guidelines to be used in conjunction with these frameworks that will help to ensure that consumers can have a more ample toolbox to identify deceptive sustainability claims.

ContributorsLadewig, Emily (Author) / Pavlic, Theodore (Thesis director) / Roschke, Kristy (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Art (Contributor) / School of Sustainability (Contributor)
Created2023-05
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Description
Adaptive capacity to climate change is the ability of a system to mitigate or take advantage of climate change effects. Research on adaptive capacity to climate change suffers fragmentation. This is partly because there is no clear consensus around precise definitions of adaptive capacity. The aim of this thesis is

Adaptive capacity to climate change is the ability of a system to mitigate or take advantage of climate change effects. Research on adaptive capacity to climate change suffers fragmentation. This is partly because there is no clear consensus around precise definitions of adaptive capacity. The aim of this thesis is to place definitions of adaptive capacity into a formal framework. I formalize adaptive capacity as a computational model written in the Idris 2 programming language. The model uses types to constrain how the elements of the model fit together. To achieve this, I analyze nine existing definitions of adaptive capacity. The focus of the analysis was on important factors that affect definitions and shared elements of the definitions. The model is able to describe an adaptive capacity study and guide a user toward concepts lacking clarity in the study. This shows that the model is useful as a tool to think about adaptive capacity. In the future, one could refine the model by forming an ontology for adaptive capacity. One could also review the literature more systematically. Finally, one might consider turning to qualitative research methods for reviewing the literature.
ContributorsManuel, Jason (Author) / Bazzi, Rida (Thesis director) / Pavlic, Theodore (Committee member) / Middel, Ariane (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05