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I will now briefly walk through the key themes that emerged from the analysis.
The first theme is AI as a catalyst for efficiency, which indicates that AI enhances project efficiency by enabling predictive scheduling, early risk detection, and data-driven decision support. I have also included interesting key code that support this theme as well.
The second theme is Emotional Intelligence as a leadership enabler, where emotional intelligence strengthens project leadership through improved empathy, effective communication, and constructive conflict resolution.
The third theme focuses on integration challenges, highlighting that integrating AI into project management is often challenged by resistance to change, cultural barriers, and lack of acceptance among project teams.
The fourth theme relates to capacity building and training needs for dual-skilling, emphasizing that successful AI–EI integration requires continuous training to develop both technical AI capabilities and emotionally intelligent leadership skills.
The fifth theme addresses ethical and trust concerns, including transparency, data bias, privacy, and accountability. Participants expressed that AI-driven project decisions raise important ethical issues that must be managed responsibly.
Finally, the most critical theme is the synergy between AI and EI, where AI provides analytical insights, and emotional intelligence enables leaders to interpret those insights and manage their impact on people. Project success is maximized when these two capabilities are effectively combined.
All of these themes are strongly supported by direct participant quotations, ensuring that the findings are grounded in real project experiences.
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IEEE/ICACT20260334 Slide.13
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