An increasing data overload makes it difficult to provide the needed information to knowledge-workers and decision-makers in today's process-oriented enterprises. The main problem is to identify the information being relevant in a given process context. Moreover, there are new ways of collaboration in the context of distributed processes (e.g., automotive engineering, patient treatment). The goal is to provide the right process information, in the right format and granularity, at the right place, at the right point in time to the right people. Picking up this goal, enterprises crave for an intelligent and process-oriented information logistics. In this paper we investigate fundamental issues enabling such information logistics based on two exploratory case studies in the automotive and the clinical domain. Additionally, we present results of an
online survey with 219 participants supporting our case study findings. Our research does not only reveal different types of process information, but also allows for the derivation of factors determining its relevance. Understanding these factors, in turn, is a fundamental prerequisite to realize effective process-oriented information logistics
