The Association Among Gender Diversity, Board Characteristics and Firms Performance

Edited book (chapter)

Masa’deh, Ra’ed, Samara, Husni, Abughaush, Suhaila and Almanadheh, Yazan. 2025. "The Association Among Gender Diversity, Board Characteristics and Firms Performance ." Hamdan, Allam (ed.) Achieving Sustainable Business through AI, Technology Education and Computer Science. Switzerland . Springer. pp. 711-734
Chapter Title

The Association Among Gender Diversity, Board Characteristics and Firms Performance

Book Chapter CategoryEdited book (chapter)
ERA Publisher ID3337
Book TitleAchieving Sustainable Business through AI, Technology Education and Computer Science
AuthorsMasa’deh, Ra’ed, Samara, Husni, Abughaush, Suhaila and Almanadheh, Yazan
EditorsHamdan, Allam
Volume158
Page Range711-734
SeriesStudies in Big Data (SBD)
Number of Pages24
Year2025
PublisherSpringer
Place of PublicationSwitzerland
ISBN9783031708558
9783031708572
9783031708541
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-70855-8_61
Web Address (URL)https://link.springer.com/chapter/10.1007/978-3-031-70855-8_61
Abstract

The current research explores the association among gender diversity, board characteristics, and company performance in Palestinian industrial firms listed on the Palestine Stock Exchange (PSE). It delves into a context lacking regulations for female board representation and shaped by socio-political factors influencing gender dynamics. The study sample consisted of 13 firms listed on the PSE for the period 2015–2022. The research employed a descriptive and analytical approach, utilizing various statistical methodologies including descriptive statistics and regression analysis. Findings showed that there is a positive relationship between the independence of the board of directors and the firm’s performance. Additionally, cultural diversity and corporate transparency were identified as relevant factors. This research suggests that it is important to give a deeper understanding of how gender diversity impacts organizational success in specific social and economic situations. This information can then be used by stakeholders and policymakers to make informed decisions that aim to increase corporate performance and market evaluation.

KeywordsGender diversity; Board characteristics; Firm performancde; Industrial firms
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20204602. Artificial intelligence
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Byline AffiliationsUniversity of Jordan
University of Valencia, Spain
University of Sfax, Tunisia
University of Southern Queensland
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