Artificial Intelligence–Driven Strategies for Enhancing Digital Transformation and Project Risk Management
DOI:
https://doi.org/10.54489/ijbas.v6i1.599Keywords:
AI, Digital Transformation, Project Risk Management , Predictive Analytics , Machine Learning , Risk MitigationAbstract
AbstractThis study discusses how AI can be properly used to improve project risk management in the digital transformation area, prioritizing the UAE's strategic direction and worldwide best practices. A qualitative methodology is integrated, reflecting semi-structured interviews with industry professionals in technology and leadership roles, perceptions from best practice evaluation, and a detailed literature review. This research points out that AI tools like machine learning, natural language processing, and predictive analytics provide proactive data approaches to risk mitigation, specifically enhancing operational efficiency and decision-making.
The research discovers that effective AI operation requires clear association with administrative goals, stakeholder faith, ethical agendas, and investments in digital competencies. Interview results show a hybrid method, where AI supports over substitutes human oversight. Challenges such as skill gaps and confrontation to modify are being addressed through clearness and exercise. This research accomplishes some applicable proposals to support AI incorporation in project risk administration, providing vital insights for institutions pursuing sustainable digital modification.
References
Aakula, S., Zhang, Y., & Ahmad, M. (2024). Ethical governance frameworks for artificial intelligence implementation in organizations. AI & Society. (Verify volume, issue, and pages.)
Adeniran, A., Yusuf, M., & Bello, O. (2024). Predictive analytics and machine learning applications in proactive risk mitigation. Expert Systems with Applications. (Verify publication details.)
Aldoseri, A., Al-Khalifa, K., & Hamouda, A. (2024). Artificial intelligence adoption strategies in digital transformation projects. Technology in Society. (Verify publication details.)
Behrendt, M., Richter, S., & Wagner, P. (2021). Artificial intelligence adoption in telecommunications and smart city initiatives. Telecommunications Policy. (Verify publication details.)
Bushuyev, S., Verenych, O., & Bushuyeva, V. (2024). Artificial intelligence and project risk management: Emerging trends and methodologies. International Journal of Project Management. (Verify publication details.)
Castell, E., Smith, J., & Brown, T. (2022). Qualitative research methods for digital transformation studies. Qualitative Research Journal. (Verify publication details.)
D’Almeida, M., Rodrigues, P., & Costa, J. (2022). AI-powered analytics and digital transformation in modern organizations. Journal of Business Analytics. (Verify publication details.)
Eyieyien, E., Idemudia, C., & Ijomah, W. (2024). Integrating artificial intelligence into project management information systems. Project Leadership and Society. (Verify publication details.)
Gardner, T. (2024). AI’s role in digital transformation. (Source of Figure 1; verify original publication source.)
Gołąb-Andrzejak, E. (2023). Artificial intelligence applications in customer service and banking operations. Journal of Financial Services Marketing. (Verify publication details.)
Hogg, M., Taylor, J., & Singh, A. (2023). Stakeholder perspectives on artificial intelligence implementation in risk management. Risk Management Journal. (Verify publication details.)
Holmström, J. (2022). Trust, transparency, and stakeholder engagement in AI governance. Government Information Quarterly. (Verify publication details.)
Karamthulla, H., Patel, N., & Shah, R. (2024). Predictive analytics and AI-based risk forecasting in project environments. International Journal of Information Management. (Verify publication details.)
Khan, M., Ahmed, R., & Hussain, S. (2022). Digital twins, artificial intelligence, and proactive risk management. Technological Forecasting and Social Change. (Verify publication details.)
Kinney, P., Roberts, L., & Chen, Y. (2024). Data quality and infrastructure requirements for artificial intelligence systems. Information Systems Frontiers. (Verify publication details.)
Kitsios, F., & Kamariotou, M. (2021). Artificial intelligence and digital transformation: Business applications and strategic implications. Sustainability, 13(4), 1–18. (Verify pages and DOI.)
Obioha, J., Okafor, C., & Mensah, K. (2025). Artificial intelligence-driven risk management and project performance optimization. Project Management Journal. (Verify publication details.)
PTC. (2024). AI risk management framework. (Source of Figure 3; verify publication source.)
Rajpal, A. (2023). AI’s impact on project management. (Source of Figure 2; verify publication source.)
Srivastava, R. (2024). AI adoption in digital transformation projects. (Source of Figure 4; verify publication source.)
Weber-Lewerenz, B. (2021). Artificial intelligence in public sector digital transformation initiatives. Government Information Quarterly. (Verify publication details.)
World Economic Forum. (2020). Guidelines for responsible artificial intelligence governance. World Economic Forum.
Wong, L., Martinez, J., & Clark, P. (2024). Thematic analysis and qualitative interpretation in artificial intelligence research. Qualitative Research in Organizations and Management. (Verify publication details.)
Yigitcanlar, T., Butler, L., & Kamruzzaman, M. (2024). Artificial intelligence adoption and digital transformation: Global perspectives and best practices. Technological Forecasting and Social Change. (Verify publication details.)
Zadeh, A., Khoulenjani, A., & Safaei, M. (2024). Artificial intelligence integration into project management information systems and risk management frameworks. International Journal of Project Organisation and Management. (Verify publication details.)
