Data architectures for an organizational memory information system

Kevin E. Dow, Gary Hackbarth and Jeffrey Wong

Journal of the American Society for Information Science and Technology, 2013, vol. 64, issue 7, 1345-1356

Abstract: A framework is developed that supports the theoretical design of an organizational memory information system (OMIS). The framework provides guidance for managing the processing capabilities of an organization by matching knowledge location, flexibility, and processing requirements with data architecture. This framework is tested using three different sets of data attributes and data architectures from 147 business professionals that have experience in IS development. We find that trade‐offs exist between the amount of knowledge embedded in the data architecture and the flexibility of data architectures. This trade‐off is contingent on the characteristics of the set of tasks that the data architecture is being designed to support. Further, the match is important to consider in the design of OMIS database architecture.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:64:y:2013:i:7:p:1345-1356

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