Abstract
Accurate and readily available information is a crucial basis for decision making, problem solving, or performing knowledge intensive work. Routine activities and well-defined work flows are supported by sophisticated solutions, like enterprise information systems or production planning systems. But for deviations from daily routine, ad-hoc processes, work in distributed teams with changing members or seemingly unstructured innovation activities, quickly finding the right information for a given purpose often is a challenge. Recent studies show that users spend a lot of time in searching for the right information, which causes unnecessary delays and costs. In networked organizations with geographically distributed work force and processes, this challenge is even more substantial due to dynamically changing project teams or shortcomings in systems interoperability. Research in information logistics addresses these challenges with an aim to improve information flow, i.e. applying logistic principles to information supply. Starting from industrial needs, this paper discusses challenges, selected concepts and solutions for demand-oriented information supply. Relevant research fields contributing to this area are context modeling, ontology engineering, semantic matching and information retrieval.
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Sandkuhl, K. (2008). Information Logistics in Networked Organizations: Selected Concepts and Applications. In: Filipe, J., Cordeiro, J., Cardoso, J. (eds) Enterprise Information Systems. ICEIS 2007. Lecture Notes in Business Information Processing, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88710-2_4
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