Process-Oriented Information Logistics: Requirements, Techniques, Application

Enterprises are confronted with a continuously increasing data load. Examples of such data include sensor data, office files, e-mails, guidelines, and business data. In turn, this data overload makes it difficult for knowledge workers to identify information needed to perform their tasks in the best possible way. To remedy this information underload and to optimally utilize enterprise data, the latter must be aligned with business processes. In fact, process-related information and business processes are usually managed separately. On one hand, enterprise content management systems, shared drives, and Intranet portals are used fss management technology is used to design and enact business processes. With process-oriented information logistics (POIL), this chapter presents an approach for bridging this gap. In particular, POIL enables the process-oriented and context-aware delivery of process-related information to knowledge workers. We also present use cases and proof-of-concept prototypes to demonstrate the application and benefits of POIL.