Do Strategic Human Resources and Artificial Intelligence Help to Make Organisations More Sustainable? Evidence from Non-Governmental Organisations

Amal Alnamrouti, Husam Rjoub and Hale Ozgit
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Amal Alnamrouti: Department of Business Administration, Faculty of Economics and Administrative Sciences, Cyprus International University, Mersin 10, Haspolat 99040, Turkey
Hale Ozgit: Department of Tourism and Hospitality Management, Cyprus International University, North Cyprus, Mersin 10, Nicosia 99258, Turkey

Sustainability, 2022, vol. 14, issue 12, 1-23

Abstract: Uncertainty and a lack of stability are among the difficulties non-governmental organisations face. However, certain strategies for ensuring their performance’s sustainability have not been empirically demonstrated in the literature. Using strategic resource management practises and artificial intelligence, this study examines the effect of organisational learning and corporate social responsibility on the sustainability of non-governmental organisations’ performance. The survey gathered data from 171 participants representing 21 United Nations organisations and 70 non-governmental organisations in Jordan to accomplish this goal. The data were analysed using WarpPLS and PLS-SEM. The study demonstrates that organisational learning, artificial intelligence, strategic human resource management practises, and corporate social responsibility all contribute to the long-term viability of non-governmental organisations. Furthermore, the study discovered that strategic resource management practises and artificial intelligence significantly mediate the relationship between organisational learning and sustainable organisational performance on the one hand, and corporate social responsibility on the other. Finally, the study provides theoretical and practical guidance on how to apply the findings to assist non-profit organisations’ management in utilising organisational learning, corporate social responsibility, artificial intelligence, and strategic resource management practices to help them run their internal operations in a more efficient and sustainable manner over time.

Keywords: artificial intelligence; corporate social responsibility; sustainability; non-governmental organisations; sustainable performance; PLS-SEM; Jordan (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:12:p:7327-:d:839387

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