Gero Decker

Papers

1

Total Citations

172

H-Index

1

About

Gero Decker is a leading voice in Business Process Management (BPM), with a particular focus on how emerging technologies reshape human roles in organizational workflows. His most-cited work, a 2018 paper summarizing a panel at the 15th International Conference on Business Process Management, examines the intersection of machine learning, robotic process automation, and blockchain with human factors in BPM. This influential piece, garnering 172 citations, critically assesses whether these technologies diminish or augment human involvement in business processes. Decker’s contributions extend beyond academia into industry, where he has applied BPM principles to real-world automation challenges. His research is notable for bridging technical innovation with socio-technical considerations, offering a balanced perspective on automation’s impact on workforces. As a researcher and practitioner, Decker has helped shape contemporary discourse on process automation, making his work essential reading for students and professionals navigating the evolving landscape of digital transformation in business operations.

Research Focus

Key Achievements

1
H-Index
1
Papers
172
Total Citations
172
Avg Citations/Paper
🏆 Most Cited Paper
How do Machine Learning, Robotic Process Automation, and Blockchains Affect the Human Factor in Business Process Management?
172 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago