Data architectures for an organizational memory information system

被引：6

作者：

Dow, Kevin E. ^{[1
]}

Hackbarth, Gary ^{[2
]}

Wong, Jeffrey ^{[3
]}

机构：

[1] Univ Nottingham, Ningbo 315100, Zhejiang, Peoples R China

[2] VSU, Langdale Coll Business Adm, Valdosta, GA 31698 USA

[3] Univ Nevada, Reno, NV 89557 USA

来源：

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY | 2013年 / 64卷 / 07期

关键词：

knowledge modeling; information resources management; database management; KNOWLEDGE MANAGEMENT; FIT;

D O I：

10.1002/asi.22848

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 tradeoffs 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.

引用

页码：1345 / 1356

页数：12

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