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A Study of Gender Diversity in U.S. Architecture, Engineering, and Construction (AEC) Industry Leadership.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	A Study of Gender Diversity in U.S. Architecture, Engineering, and Construction (AEC) Industry Leadership./
作者:	Hickey, Paul Joseph.
面頁冊數:	1 online resource (195 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Contained By:	Dissertations Abstracts International84-12B.
標題:	Web studies. -
電子資源:	click for full text (PQDT)
ISBN:	9798379757045

A Study of Gender Diversity in U.S. Architecture, Engineering, and Construction (AEC) Industry Leadership.
Hickey, Paul Joseph.

A Study of Gender Diversity in U.S. Architecture, Engineering, and Construction (AEC) Industry Leadership. - 1 online resource (195 pages)

Source: Dissertations Abstracts International, Volume: 84-12, Section: B.

Thesis (Ph.D.)--University of Maryland, College Park, 2023.

Includes bibliographical references

Anecdotally, men dominate the Architecture, Engineering, and Construction (AEC) field. This study contributes to the body of knowledge by quantifying the gender composition of the c-suite, identifying differences in career paths between women and men, and gathering in-depth information on women engineering executives' professional stories. Using the industry recognized Engineering News Record (ENR) Top 400 largest companies, initial phase of this research found women filled 3.9% of engineering executive positions in 2019, reducing to 3.5% in 2021. However, certain sub-segments, highlighted by firms with a public commitment to diversity, ENR Top 100 Green companies, and larger organizations, offer more opportunities to women. Exploring further into individual and collective career paths, researchers applied web scraping algorithms to extract LinkedIn data for 2,857 industry leaders. Data found that women work for more companies (+56%), hold more positions (+19%), earn more advanced degrees (53.9% to 31.2%), assemble larger professional networks (+14%), yet remain significantly underrepresented (-83%). Confirming a difference between the career paths of women and men, Machine Learning (ML) modeling predicted profile genders with 98.95% training sample and 89.53% testing sample accuracy. Final stage of research incorporates interviews with women engineering executives, seeking to learn about pathways and barriers in their respective and collective professional journeys and test the findings from the initial two phases of this study. An overriding theme throughout the progressive study, recommendations for increasing women's representation include directed Science, Technology, Engineering, and Math (STEM) scholarships for young girls, targeted recruiting of women, establishing mentoring relationships, and creating nurturing cultures to retain early and mid-career women.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379757045Subjects--Topical Terms:

1148502
Web studies.
Subjects--Index Terms:

Career pathIndex Terms--Genre/Form:

554714
Electronic books.

A Study of Gender Diversity in U.S. Architecture, Engineering, and Construction (AEC) Industry Leadership.
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