A Workflow-centric Study of Organizational Knowledge Distribution

J. Leon Zhao, Akhil Kumar, Edward A. Stohr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Organizations require mechanisms to efficiently distribute knowledge such as news releases, seminar announcements, and memos. While the machinery for information storage, manipulation, and retrieval exists, research dealing directly with knowledge distribution in an organizational context is scarce. In this paper, we address this need by first examining the pros and cons of the conventional “mailing lists” approach and then proposing new workflow mechanisms that improve the efficiency and effectiveness of knowledge distribution. The main contributions of this study include: (1) a workflow perspective on organizational knowledge distribution, (2) workflow analysis of two new knowledge distribution methods based on dynamic mailing lists and profile matching, respectively, and (3) a new way of matching knowledge supply and demand that extends existing information filtering algorithms.

Original languageEnglish (US)
Title of host publicationProceedings of the 33rd Annual Hawaii International Conference on System Sciences, HICSS 2000
PublisherIEEE Computer Society
ISBN (Electronic)0769504930
StatePublished - 2000
Event33rd Annual Hawaii International Conference on System Sciences, HICSS 2000 - Maui, United States
Duration: Jan 4 2000Jan 7 2000

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2000-January
ISSN (Print)1530-1605

Conference

Conference33rd Annual Hawaii International Conference on System Sciences, HICSS 2000
CountryUnited States
CityMaui
Period1/4/001/7/00

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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