This dissertation is an interdisciplinary work that explores the intersection of humanities and technical communication by focusing on the presence and impact of software company workplace bias in technical professional communication. It focuses on workplace bias in technical communication because, when present, bias can impact the experiences that technical communicators and end-users (people who use the software) have with the software. This mixed-methods study consists of a survey, an interview, and a new diagram designed to help technical communicators mitigate biases in technical documentation. To understand better the presence and impact of bias in these workplace contexts, this study surveys and interviews technical communication professionals (TCPs) with software industry work experience.
First, I introduce key relationships and terms that connect the software industry to technical communication, discuss the significance of workplace bias in technical communication, and provide an overview of the study, including its research questions, research methods, and design. Next, I present background based on a literature review, including defining and presenting workplace bias issues in the software industry and technical communication field. I also present intersectional feminism as the theoretical framework. Thereafter, I detail research methods, which include the mixed-methods design, strategies for a feminist research approach, and a detailed explanation of the survey and interview design. Next, I present survey and interview results and discuss implications from professional and scholarly technical communication lenses. Finally, I draw conclusions about workplace biases based not only on survey and interview data but also by discussing new intersectional themes that offer new bias-based perspectives and legitimize issues of intersectional feminism and social justice in technical communication.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2023-1150 |
| Date | 01 January 2024 |
| Creators | Altamirano, Amanda |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Graduate Thesis and Dissertation 2023-2024 |
| Rights | In copyright |
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