Strategic AI Ecosystem for Global SDG Partnership: A Public–Private Collaboration Model for Sustainable Development Governance, Rasha Qawasmeh, Musab Al-Tarawni, Saed Mustafa, Lana Al Aesa, Hisham Shatnawi, Amjad Abu Marouf
Rasha Qawasmeh
Department of Business Administration, Al-Ahliyya Amman University
Amman
Jordan
ORCID: 0000-0002-6246-907X
Musab A. M. Al-Tarawni
Department of Computer Science, Faculty of Information Technology, Middle East University
Amman
Jordan
ORCID: 0000-0003-0488-8134
Saed Adnan Mustafa
Marketing Department, Faculty of Business, Applied Science Private University
Amman
Jordan
ORCID: 0000-0002-3099-7230
Lana Yasin Al Aesa
Computer Science Department, Information Technology Faculty, Zarqa University
Zarqa
Jordan
ORCID: 0009-0005-4519-2274
Hisham Ali Shatnawi
Faculty of Business, Ajloun National University
Ajloun
Jordan
ORCID: 0009-0004-6898-1519
Amjad Abu Marouf
Marketing Department, Applied Science Private University
Amman
Jordan
ORCID: 0009-0000-1753-6096
Paper Type: Conceptual
Received: 29 November 2025 / Revised: 8 February 2026 / Accepted: 12 March 2026 / Published: 30 March 2026
DOI: 10.47556/J.WJSTSD.21.1-3.2026.4
Purpose: This study develops a Strategic AI Ecosystem (SAE) framework to explain how artificial intelligence (AI) can enhance the effectiveness of public–private partnerships in achieving the Sustainable Development Goals (SDGs).
Design/Methodology/Approach: A conceptual research design was employed, integrating the Resource-Based View, Dynamic Capabilities Theory, and Collaborative Governance Theory through structured literature synthesis and theoretical triangulation.
Findings: The study identifies AI infrastructure readiness, strategic governance alignment, and trust and stakeholder engagement as antecedent conditions influencing SDG partnership effectiveness through the mediating mechanism of collaborative innovation capacity.
Originality/value: The paper reconceptualises AI as a governance ecosystem rather than a technological tool, offering the first integrated AI-enabled SDG partnership model.
Research Limitations/Implications: The framework is conceptual and requires empirical validation.
Practical Implications: Policymakers and industryPrivate Partnership; Digital Governance; AI Ecosystem; Sustainability Governance.
Keywords: Artificial Intelligence; Sustainable Development Goals; Public–Private Partnership; Digital Governance; AI Ecosystem; Sustainability Governance.
Citation: Qawasmeh, R., Al-Tarawni, M. A. M., Mustafa, S. A., Al Aesa, L. Y., Shatnawi, H. A. and Marouf, A. A. (2026): Strategic AI Ecosystem for Global SDG Partnership: A Public–Private Collaboration Model for Sustainable Development Governance. World Journal of Science, Technology and Sustainable Development (WJSTSD), Vol. 21, Nos. 1/2/3, pp. xx–xx. WASD: London, United Kingdom.
