The current study aimed to examine the role of artificial intelligence (AI-driven) data analytics in enhancing policy-making in a sustainable development environment.
Quantitative methodology was adopted, and a questionnaire was self-administered by (154) individuals from digital marketing organisations in Jordan. Statistical Package for Social Sciences (SPSS) was used to deal with primary data.
AI-driven data analytics are able to enhance policy-making in a sustainable development environment from perspective of digital marketing organisations.
This paper offers an innovative contribution by integrating analytics of AI with the governance for sustainability and sustainable outcomes.
This research is limited to the inclusion of AI data studies. Results of study are limited to the study sample.
The results indicate the importance for providing options for policymakers and organisations to access AI decision-support systems, predictive analytics, and digital monitoring tools in order to ensure transparency.
Alotoum, F. J., Alkasasbeh, A. E. A. H., Alqudah, F. H., Mathani, B. A. A., Albdour, A. W. M. and Wahsheh, F. R. (2026): Employing AI-Driven Data Analytics as an Approach to Enhance Policy-making in a Sustainable Development Environment. World Journal of Science, Technology and Sustainable Development (WJSTSD), Vol. 21, No. 4, pp. 343-360. WASD: London, United Kingdom.
