Uloma Stella Nwabekee

Papers

1

Total Citations

8

H-Index

1

About

Dr. Uloma Stella Nwabekee is a leading researcher at the intersection of artificial intelligence, business process automation, and customer relationship management. Her work investigates how AI-driven automation transforms sales efficiency and CRM performance, providing organizations with actionable frameworks to optimize customer interactions and operational workflows. Her most-cited paper, "The Impact of AI and Business Process Automation on Sales Efficiency and Customer Relationship Management (CRM) Performance" (2024), has already garnered 8 citations, reflecting its timely relevance in the rapidly evolving field of digital transformation. Dr. Nwabekee’s contributions are particularly notable for bridging theoretical AI models with practical business applications, offering evidence-based strategies that enhance both sales outcomes and customer engagement. Her research is widely referenced by academics and industry professionals seeking to understand the synergistic effects of automation on organizational performance. As a thought leader in this domain, she continues to shape discourse on how businesses can leverage emerging technologies to achieve competitive advantage, making her work essential reading for students and researchers exploring the future of AI in business.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
The Impact of AI and Business Process Automation on Sales Efficiency and Customer Relationship Management (CRM) Performance
8 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago