Research-inspired editorial · 2026-11-11
Artificial Intelligence in Project Portfolio Management: What New Research Reveals
Author: Martina Mundová
Project portfolio management faces mounting complexity and resource pressure. A new study explores how artificial intelligence can assist managers in decision-making, drawing on insights from available literature.
Introduction
Project Portfolio Management (PPM) occupies a strategic position within modern organizations. According to available sources, companies must constantly select, prioritize, and manage initiatives to align precisely with their overarching objectives.
However, the contemporary business environment is characterized by increasing complexity, uncertainty, and continuous pressure on constrained resources. Consequently, the role of portfolio managers has become exceptionally demanding and requires novel approaches.
What the study examined
Authors Roger Ngouabou Kouam and Charles Éric Manyombé focused their work, published in 2026, on the contribution of artificial intelligence to decision-making in project portfolio management. According to the abstract, the study examines how intelligent technologies can support managers in their daily duties.
The research responds to the reality that managers must analyze massive volumes of data, anticipate risks in advance, optimize resource allocation, and actively support strategic decision-making amid constant project proliferation.
Findings and interpretation
Faced with growing responsibilities and information volumes, organizations are increasingly turning to technological solutions, as stated in the study text. Artificial intelligence emerges as a tool capable of supporting, automating, or improving selected PPM functions.
Nonetheless, integrating artificial intelligence also raises challenges that extend beyond pure technology. According to the abstract, these factors may directly influence the technology's ability to reduce managerial workload and require careful practical evaluation.
Methodology and limitations
The authors employed a PRISMA selection process, retaining fifteen publications for a critical literature review. They closely examined these sources regarding contributions, limitations, and conditions for successful integration into PPM.
It is important to emphasize that our platform only had access to the publisher-supplied abstract, which was not verified against the complete study text. Therefore, definitive conclusions regarding the full scope of findings cannot be drawn without reviewing the entire document DOI 10.5539/ibr.v19n6p129.
WEBU practical proposal
Based on the reviewed abstract, we offer editorial recommendations for small business owners, web designers, marketing teams, and workplace management. Small business owners should approach task automation via artificial intelligence gradually while verifying output quality.
In web design and marketing, artificial intelligence can assist with customer data analysis and campaign optimization, yet human oversight and strategic control remain essential to preserve brand authenticity and long-term success.
Conclusion
The study presents an integrated conceptual model linking organizational preconditions, AI capabilities, PPM functions, managerial effects, and the need for human oversight and governance. Practical recommendations aim to help organizations strengthen decision-making capabilities.
The future of project management will likely rely on a balance between technological innovation and responsible human leadership, as supported by current insights from available academic literature.
Scientific sources
Roger Ngouabou Kouam, Charles Éric Manyombé (2026). The Contribution of Artificial Intelligence to the Functions of the Project Portfolio Manager. International Business Research. https://doi.org/10.5539/ibr.v19n6p129 https://doi.org/10.5539/ibr.v19n6p129