How organisational board compositions lead to a higher job satisfaction: an empirical analysis of US and UK companies

Aly, Doaa A ORCID: 0000-0002-2037-6879, Abdelqader, Muath ORCID: 0000-0003-0698-1367, Darwish, Tamer K ORCID: 0000-0003-1815-9338, Hasan, Arshad and Toporkiewicz, Anna (2023) How organisational board compositions lead to a higher job satisfaction: an empirical analysis of US and UK companies. International Journal of Disclosure and Governance. doi:10.1057/s41310-023-00191-7 (In Press)

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Abstract

The relationship between board characteristics and micro-level organizational factors is an area that has been significantly under-researched, and there is a lack of understanding of how these two elements interact with each other. Hence, we aim to explore how board characteristics could potentially have an impact on individual-level job satisfaction. The dataset used for this study encompasses a total of 4020 observations gathered from 804 companies listed in the FTSE 350 and S&P 500 indices, and it covers the period spanning from 2016 to 2021. The results of the adopted multiple regression analysis showed significant positive relationships between board gender diversity, diversity of specific skills, board independence, board meeting attendance, board size, and average board tenure and employees’ job satisfaction of the companies under analysis. However, cultural diversity was not found to have a significant impact on employees’ satisfaction. We draw out the theoretical implications of these findings and provide practical recommendations regarding companies’ boards composition and structure that help them to enhance the level of their employees’ job satisfaction.

Item Type: Article
Article Type: Article
Additional Information: This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1057/s41310-023-00191-7
Uncontrolled Keywords: Board characteristics; Micro-level analysis; UK; USA; Job satisfaction; FTSE 350; S&P 500
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HF Commerce > HF5001 Business
Divisions: Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas: Applied Business & Technology
Depositing User: Tamer Darwish
Date Deposited: 08 Aug 2023 10:15
Last Modified: 19 Jan 2024 13:35
URI: https://eprints.glos.ac.uk/id/eprint/12957

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