Edona Elshan
Papers
1
Total Citations
2
H-Index
1
About
Edona Elshan is a rising scholar whose research focuses on the intersection of intelligent automation, low-code technologies, and digital transformation. Her work critically examines how robotic process automation (RPA) and low-code platforms reshape software product architectures, service delivery models, and organizational practices. In her highly cited 2024 paper, "Towards stability, predictability, and quality of intelligent automation services," she introduces the ECIT product journey framework, tracing the evolution of automation services from on-premise to as-a-service models. This contribution addresses a significant gap in the literature by linking low-code and RPA transformations to broader discussions of software product management and service quality. Although early in her career, Elshan’s work has already garnered attention for its practical relevance and theoretical rigor, offering actionable insights for both scholars and practitioners navigating the complexities of intelligent automation. Her research is particularly valuable for students and researchers interested in how emerging technologies like RPA are redefining software lifecycle management, service stability, and digital innovation strategies.
Research Focus
Key Achievements
Top Papers
- 1