Domain Investigations and Critical Review of Stakeholder Engagement in AI-Enabled Digital Transformation Program through the CPMAI Lens and PMI

Authors

  • Fatima Mohamed Al Mandoos Hamdan Bin Mohammed Smart University
  • Fatima Kazim Hamdan Bin Mohammed Smart University
  • Fatima Abdulla Hamdan Bin Mohammed Smart University

DOI:

https://doi.org/10.47604/ijepm.3709

Keywords:

Artificial Intelligence Governance, Stakeholder Engagement, Digital Transformation, Public Sector Innovation, CPMAI Framework, Project Management Institute (PMI), Smart Governance

Abstract

Purpose: The aim of the research is to analyse and evaluate the concept of stakeholder engagement in public sector programs powered by AI and to identify the ways of its improvement through CPMAI and PMI principles.

Methodology: The use of a qualitative multiple case study design took place, with six programs under study, along with the five semi-structured interviews with professionals. Patterns as well as best practices were identified through cross-case comparison.

Findings: The barriers to stakeholder engagement include one-way communication, marginalization of some groups of stakeholders, poor ethical disclosure, and unrestrategic use of AI. Although AI will bring higher efficiency, it does not necessarily increase participatory governance. The innovative frameworks such as the Stakeholder Engagement Intelligence Framework (SEIF) may combine the predictive, adaptive, and ethically governed engagement.

Unique Contribution to Theory, Practice and Policy: The merger of AI and CPMAI and PMI principles will enhance trust, involvement, and policy responsiveness, providing a repeatable technique for the use of digital improvements in the public sector.

Downloads

Download data is not yet available.

References

Al-Azzawi, A. (2018). Dubai happiness agenda: Engineering the happiest city on earth. In Smart cities in the gulf: Current state, opportunities, and challenges (pp. 195-221). Springer

Albino, V., Berardi, U., & Dangelico, R. M. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of Urban Technology, 22(1), 3-21.

Aragón, P., Kaltenbrunner, A., Calleja-López, A., Pereira, A., Monterde, A., Barandiaran, X. E., & Gómez, V. (2017, September). Deliberative platform design: The case study of the online discussions in Decidim Barcelona. In International Conference on Social Informatics (pp. 277-287). Springer

Batool, A., Zowghi, D., & Bano, M. (2025). AI governance: a systematic literature review. AI and Ethics, 1-15.

Bokhari, S. A. A., Park, S. Y., & Manzoor, S. (2025). Digital Government Transformation Through Artificial Intelligence: The Mediating Role of Stakeholder Trust and Participation. Digital, 5(3), 43.

Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589-597.

Bryman, A. (2016). Social research methods. Oxford University Press.

Bryson, J. M., Crosby, B. C., & Bloomberg, L. (2014). Public value governance: Moving beyond traditional public administration and the new public management. Public Administration Review, 74(4), 445-456.

Bullock, J. B., Pauketat, J. V., Huang, H., Wang, Y. F., & Anthis, J. R. (2025). Public Opinion and the Rise of Digital Minds: Perceived Risk, Trust, and Regulation Support. Public Performance & Management Review, 1-32.

Calzada, I. (2018). (Smart) citizens from data providers to decision-makers? The case study of Barcelona. Sustainability, 10(9), 3252.

Capdevila, I., & Zarlenga, M. I. (2015). Smart city or smart citizens? The Barcelona case. Journal Of Strategy And Management, 8(3), 266-282.

Cardullo, P., & Kitchin, R. (2019). Being a ‘citizen’in the smart city: Up and down the scaffold of smart citizen participation in Dublin, Ireland. GeoJournal, 84(1), 1-13.

Chow, V., & Leiringer, R. (2020). The practice of public engagement on projects: From managing external stakeholders to facilitating active contributors. Project Management Journal, 51(1), 24-37.

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689-707.

Freeman, R. E., & McVea, J. (2005). A stakeholder approach to strategic management. The Blackwell handbook of Strategic Management, 183-201.

Heymans, F., & Heyman, R. (2024). Identifying stakeholder motivations in normative AI governance: a systematic literature review for research guidance. Data & Policy, 6, e58.

Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399.

Kawakami, A., Coston, A., Heidari, H., Holstein, K., & Zhu, H. (2024). Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW2), 1-24.

Knox, S., Marin-Cadavid, C., & Oziri, V. (2025). Stakeholder engagement-as-practice in public sector innovation. International Public Management Journal, 28(1), 153-168.

Miller, G. J. (2025). Framework for Managing Artificial Intelligence (AI) Projects: Avoiding Harms, Losses, and Damages. In International Program and Project Management—Best Practices in Selected Industries (pp. 135-162). Cham: Springer Nature Switzerland.

OECD. (2023). Smart city data governance: Challenges and the way forward. OECD Urban Studies.

OECD. (2025). Governing with Artificial Intelligence. OECD.

PMI. (2021). The standard for project management and a guide to the project management body of knowledge (PMBOK Guide) (7th ed.). Project Management Institute.

Saldaña, J. (2021). The coding manual for qualitative researchers.

Saunders, M. N., Lewis, P., & Thornhill, A. (2023). Research Methods for Business Students.

Sipahi, E. B., & Saayi, Z. (2024). The world’s first “Smart Nation” vision: the case of Singapore. Smart Cities and Regional Development (SCRD) Journal, 8(1), 41-58.

Tan, S. Y., & Taeihagh, A. (2020). Smart city governance in developing countries: A systematic literature review. Sustainability, 12(3), 899.

Tumpa, R. J., & Naeni, L. (2025). Improving decision-making and stakeholder engagement at project governance using digital technology for sustainable infrastructure projects. Smart and Sustainable Built Environment, 14(4), 1292-1329.

Yin, R. K. (2018). Case study research and applications (Vol. 6). Thousand Oaks, CA: Sage.

Zakzak, L., & Salem, F. (2019). Building a happy city—the case of Smart Dubai’s happiness agenda. In Future Governments (pp. 271-301). Emerald Publishing Limited.

Downloads

Published

2026-04-09

How to Cite

Al Mandoos, F., Kazim, F., & Abdulla, F. (2026). Domain Investigations and Critical Review of Stakeholder Engagement in AI-Enabled Digital Transformation Program through the CPMAI Lens and PMI. International Journal of Entrepreneurship and Project Management, 11(1), 1–16. https://doi.org/10.47604/ijepm.3709

Issue

Section

Articles

Similar Articles

1 2 3 4 5 6 7 > >> 

You may also start an advanced similarity search for this article.