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Self-Adjusting Recommendations for People-Driven Ad-Hoc Processes

A company's ability to flexibly adapt to changing business requirements is one key factor to remain competitive. The required flexibility in people driven processes is usually achieved through ad-hoc workflows. Effective guidance in ad-hoc workflows requires simultaneous consideration of multiple goals: Support of individual work habits, exploration of crowd process knowledge, and automatic adaptation to changes. This paper presents a self-adjusting approach for providing context-sensitive process recommendations based on the analysis of user behavior, crowd processes, and continuous application of process detection.

Provided by: Springer Science+Business Media Topic: Mobility Date Added: Sep 2010 Format: PDF

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