Employing AI-Driven data analytics as an approach to enhance policy-making in a sustainable development environment, Firas Alotoum, Abd Elrahman Alkasasbeh, Fadi Alqudah, Belal Mathani, Ahmad Albdour, Firas Wahsheh
Firas Jamil Alotoum
Department of Marketing, Faculty of Business
Applied Science Private University
Amman
Jordan
ORCID: 0000-0001-7772-2376
Abd Elrahman Ali Hasan Alkasasbeh
Digital Marketing Department, FOB
Isra University
Amman
Jordan
ORCID: 0009-0007-5057-2620
Fadi H Alqudah
Department of Administrative and Financial Sciences, Applied College
Taibah University
Kingdom of Saudi Arabia
ORCID: 0000-0001-6795-1909
Belal Ahmad Abd-Alqader Mathani
Department of Business Administration, Faculty of Administrative and Financial Sciences
Irbid National University
ORCID: 0009-0004-5987-4981
Ahmad Wasfi Mohammad Albdour
Department of Marketing, Faculty of Business
Applied Science Private University
Amman
Jordan
ORCID: 0009-0006-3456-6848
Firas Rashed Wahsheh
Department of Management information systems, Faculty of Business
Ajloun National University
Ajloun
Jordan
ORCID: 0009-0009-5728-3738
Paper Type: Research
DOI: 10.47556/J.WJSTSD.21.4.2026.5
Received: 07 December 2025 / Revised: 20 April 2026 / Accepted: 20 April 2026 / Published: 1 June 2026
Purpose: The current study aimed to examine the role of artificial intelligence (AI-driven) data analytics in enhancing policy-making in a sustainable development environment.
Design/Methodology/Approach: 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.
Findings: AI-driven data analytics are able to enhance policy-making in a sustainable development environment from perspective of digital marketing organisations.
Originality/Value: This paper offers an innovative contribution by integrating analytics of AI with the governance for sustainability and sustainable outcomes.
Research limitations: This research is limited to the inclusion of AI data studies. Results of study are limited to the study sample.
Practical Implications: 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.
Keywords: AI-Driven Data Analytics; Policy-making; Sustainability; Artificial Intelligence.
Citation: 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. 5, pp. 343-360. WASD: London, United Kingdom.