Conference Proceedings

Process forecasting: Towards proactive business process management

R Poll, A Polyvyanyy, M Rosemann, M Röglinger, L Rupprecht

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Springer Nature Switzerland | Published : 2018

Abstract

© Springer Nature Switzerland AG 2018. The digital economy is highly volatile and uncertain. Ever-changing customer needs and technical progress increase the pressure on organizations to continuously improve and innovate their business processes. The ability to anticipate incremental and radical process changes required in the future is a critical success factor. However, organizations often fail to forecast future business process designs and process performance. One reason is that Business Process Management (BPM) is dominated by reactive methods (e.g., lean management, traditional process monitoring), whereas there are only a few future-oriented approaches (e.g., process simulation, predi..

View full abstract

Citation metrics