IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

ARTIFICIAL INTELLIGENCE INNOVATION THROUGH PUBLIC–PRIVATE PARTNERSHIP: BUILDING SUSTAINABLE AI ECOSYSTEMS

Vinay Baghela Brajesh Tyagi Gajendra singh Madhav Garg

Govt. Engineering College Dholpur Rajasthan

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Artificial Intelligence is transforming modern economies by enabling automation, predictive analytics, and intelligent decision-making across sectors such as healthcare, education, finance, and governance. However, the development and deployment of AI systems require large-scale investment in infrastructure, skilled workforce, data ecosystems, and regulatory frameworks. Public–Private Partnerships (PPP) provide a collaborative mechanism that enables governments, private technology companies, and research institutions to jointly develop AI innovations. This study explores how PPP frameworks can support AI research, infrastructure development, and technology commercialization. Using conceptual analysis and secondary research methods, the study examines global AI innovation models and identifies key factors influencing successful PPP collaborations. The results highlight that strong governance structures, funding mechanisms, research collaborations, and data-sharing policies are essential for effective AI innovation ecosystems. The paper proposes a strategic model for AI innovation through PPP and provides recommendations for policymakers, industry leaders, and academic institutions.

Keywords: Artificial Intelligence, Public–Private Partnership, Innovation Ecosystem, Digital Transformation, AI Policy, Technology Governance.

How to Cite this Paper

Baghela, V., Tyagi, B., singh, G. & Garg, M. (2026). Artificial Intelligence Innovation through Public–Private Partnership: Building Sustainable AI Ecosystems. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i3.257

Baghela, Vinay, et al.. "Artificial Intelligence Innovation through Public–Private Partnership: Building Sustainable AI Ecosystems." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i3.257.

Baghela, Vinay,Brajesh Tyagi,Gajendra singh, and Madhav Garg. "Artificial Intelligence Innovation through Public–Private Partnership: Building Sustainable AI Ecosystems." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i3.257.

Search & Index

References


  1. Alhosani, K., & Alhashmi, S. (2024). Opportunities, challenges, and benefits of AI innovation in government services. Discover Artificial Intelligence.

  2. Lina, Y., Yousaf, Z., Grigorescu, A., & Popovici, N. (2025). Harnessing digital foundations and artificial intelligence synergies for organizational innovation. Journal of Innovation & Knowledge.

  3. Babšek, M., Ravšelj, D., Umek, L., & Aristovnik, A. (2025). Artificial intelligence adoption in public administration: Overview of top-cited studies. AI Journal.

  4. Rajendra Prasad, K., et al. (2024). AI in public-private partnership for IT infrastructure development. Journal of High Technology Management Research.

  5. Pini, B., Petroni, A., & Bigliardi, B. (2026). Technological innovation and sustainability in public administration: A systematic review. Administrative Sciences.

  6. Mezouaghi, D. (2025). Public-private partnerships in the era of artificial intelligence. Economic Thought Journal.

  7. Sekaki, Y., Khazzar, A., & Ziane, H. (2025). Artificial intelligence in management studies: Bibliometric mapping of themes and trends.

  8. Omidmand, P., Dorri, R., Mozaffari, A., & Ataei, S. (2025). Artificial intelligence applications in lean startup methodology.

  9. Van Puyvelde, D., & Oling, P. (2025). Public-private collaboration and digital transformation of intelligence. Intelligence and National Security.

  10. Bhatia, T., Shukla, V., & Kaushik, K. (2025). Bibliometric evaluation of artificial intelligence research in healthcare. Discover Computing.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 02 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Scroll to Top