Integrating AI and Women’s Empowerment into Sustainable Human Resource Development: A Service Science Perspective in Higher Education Institutions

Hira Anwar; Lu Chen; Rashid Jahangiri; Tamimu Mohammed Gadafi

doi:10.2991/978-2-38476-577-5_122

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Integrating AI and Women’s Empowerment into Sustainable Human Resource Development: A Service Science Perspective in Higher Education Institutions

Authors

Hira Anwar¹^{, *}, Lu Chen¹, Rashid Jahangiri², Tamimu Mohammed Gadafi³^{, 4}^{, *}

¹School of Economics and Management, University of Electronic Science and Technology of China, NO.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 611731, Sichuan, China

²Institute of Quality and Technology Management, University of the Punjab, Lahore, Pakistan

³School of Economics and Management, Center for West African Studies, University of Electronic Science and Technology of China, Chengdu, 611731, China

⁴Sichuan University of Culture and Arts, No.32, Yandong Road, Economic and Technological Development Zone, Mianyang, 621000, Sichuan, China

^*Corresponding author. Email: hira_anwar@std.uestc.edu.cn

^*Corresponding author. Email: tamimugadafi@gmail.com

Corresponding Authors

Hira Anwar, Tamimu Mohammed Gadafi

Available Online 15 May 2026.

DOI: 10.2991/978-2-38476-577-5_122 How to use a DOI?
Keywords: Artificial intelligence; Service science; Sustainable HR development; Women empowerment; AI-powered Leadership; Higher Education; Predictive Analytics
Abstract: This study examines the relationship between women’s empowerment and Sustainable Human Resource Development (SHRD) in higher education institutions (HEIs) in Pakistan, with a focus on the mediating role of Women’s Involvement in Sustainable HR Practices (WIISHRP) and the moderating influence of Sustainable Transformational Leadership (STL). Grounded in the Resource-Based View (RBV) and Transformational Leadership Theory (TLT), the research investigates how empowerment across economic, political, psychological, and social dimensions contributes to SHRD outcomes. Drawing on survey data from 500 female faculty members, the study employs correlation analysis, multiple regression, and machine learning enhanced modeling to assess these relationships. Contrary to initial expectations, bivariate correlations reveal no significant positive associations, and in some cases, slight negative relationships, between economic and political empowerment and SHRD. However, predictive modeling using Random Forest regression uncovers that Psychological Empowerment and WIISHRP are the strongest drivers of SHRD, highlighting the importance of agency and participatory engagement over formal authority or income. AI-enabled analysis further demonstrates that complex, non-linear interactions, undetectable through traditional statistics, underpin resilience and sustainable HR outcomes. These findings challenge overly optimistic assumptions about empowerment in gendered institutional contexts and underscore the need for leadership and policy interventions that foster genuine inclusion, not just symbolic representation. The study contributes to service science and HR management by offering a nuanced, data-driven framework for advancing gender equity and organizational sustainability in resource-constrained educational systems.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2026 5th International Conference on Social Sciences and Humanities and Arts (SSHA 2026)
Series: Advances in Social Science, Education and Humanities Research
Publication Date: 15 May 2026
ISBN: 978-2-38476-577-5
ISSN: 2352-5398
DOI: 10.2991/978-2-38476-577-5_122 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Hira Anwar
AU  - Lu Chen
AU  - Rashid Jahangiri
AU  - Tamimu Mohammed Gadafi
PY  - 2026
DA  - 2026/05/15
TI  - Integrating AI and Women’s Empowerment into Sustainable Human Resource Development: A Service Science Perspective in Higher Education Institutions
BT  - Proceedings of the 2026 5th International Conference on Social Sciences and Humanities and Arts (SSHA 2026)
PB  - Atlantis Press
SP  - 1179
EP  - 1188
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-577-5_122
DO  - 10.2991/978-2-38476-577-5_122
ID  - Anwar2026
ER  -

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