Title
A transformational model for Organizational Memory Systems management with privacy concerns
Abstract
Collaborative activities such as coordination, decision-making and negotiation critically depend on historical information of an organization. This information is usually part of isolated legacy information systems, therefore, it can be inconsistent, redundant and difficult to retrieve and link. Previous research in CSCW has proposed the use of Organizational Memory Systems (OMS) to accumulate, organize, preserve, link and share diverse information coming from various sources, and thus support such collaborative activities. However, there is a need to provide a low-cost feeding process, to embed privacy mechanisms and to support information retrieval capabilities for all users of the OMS, in order to make these solutions useful to a broad range of organizations. As a way to deal with this need, this paper presents a transformational model able to: (a) facilitate the feeding of an OMS based on information stored in legacy information systems, (b) ease the information retrieval process, and (c) embed automatic mechanisms to evolve the information stored in the OMS, through a document privacy lifecycle. This is a low-cost solution that can be implemented using OpenSource technologies.
Year
DOI
Venue
2009
10.1016/j.ins.2009.01.041
Inf. Sci.
Keywords
Field
DocType
information retrieval capability,isolated legacy information system,embed automatic mechanism,transformational model,organizational memory,privacy concern,historical information,share diverse information,systems management,information retrieval process,document privacy lifecycle,legacy information system,embed privacy mechanism,collaborative activity,decision support systems,information privacy,information retrieval,information system,decision support system,system management
Information system,Data science,Management information systems,Computer-supported cooperative work,Computer science,Automated information system,Knowledge management,Executive information system,Artificial intelligence,Information privacy,Organizational memory,Decision support system,Machine learning
Journal
Volume
Issue
ISSN
179
15
0020-0255
Citations 
PageRank 
References 
1
0.39
21
Authors
4
Name
Order
Citations
PageRank
Sergio F. Ochoa182393.70
Valeria Herskovic222423.12
Edgard Pineda330.80
José A. Pino478289.55