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On Handling Process Information: Results from Case Studies and a Survey

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 99))

Abstract

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 quality, 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.

This research was performed in the niPRO project. This project is funded by the German Federal Ministry of Education and Research (BMBF) under grant number 17102X10. More information can be found at http://www.nipro-project.org

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Michelberger, B., Mutschler, B., Reichert, M. (2012). On Handling Process Information: Results from Case Studies and a Survey. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds) Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28108-2_33

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  • DOI: https://doi.org/10.1007/978-3-642-28108-2_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28107-5

  • Online ISBN: 978-3-642-28108-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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