Diogo Costa

Papers

Total Citations

126

H-Index

About

Diogo Costa is an emerging researcher whose work sits at the intersection of business process automation, decision-making methodologies, and organizational technology adoption. His scholarship focuses primarily on Robotic Process Automation (RPA), a rapidly growing field concerned with deploying software robots to handle routine, rule-based tasks and free human workers for higher-value activities. Costa's most influential contribution, a 2022 systematic literature review on RPA adoption, has garnered 78 citations and established itself as a foundational reference for scholars and practitioners seeking to understand how organizations embrace this transformative technology. By synthesizing existing research, he provided the field with a structured, comprehensive overview that continues to guide subsequent investigations. Building on this foundation, his 2023 work introduced a structured decision-support method combining the Analytic Hierarchy Process (AHP) and TOPSIS techniques to help organizations strategically identify which business processes are best suited for automation. This paper has already accumulated 48 citations, demonstrating strong and rapid uptake within the research community. Together, these contributions position Costa as a valuable voice in helping organizations navigate the practical and strategic challenges of digital transformation, offering both theoretical grounding and actionable frameworks for RPA implementation.