Data architectures for an organizational memory information system. Issue 7 (22nd May 2013)

• Record Type: Journal Article
• Authors: Dow, Kevin E.; Hackbarth, Gary; Wong, Jeffrey
• Is Part Of: Journal of the American Society for Information Science and Technology. Volume 64:Issue 7(2013:Jul.)
• Page Start: 1345
• Page End: 1356
• Publication Date: 2013-05-22
• Subjects: Information science -- Periodicals; Information technology -- Periodicals; Sciences de l'information -- Périodiques; Technologie de l'information -- Périodiques; 020.5
• DOI: 10.1002/asi.22848
• Languages: English
• ISSNs: 1532-2882

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>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.</p> </abstract>