Explaining and alleviating information management indeterminism: A knowledge-based framework

H. Chen, A. K. Danowitz, K. J. Lynch, S. E. Goodman, W. K. McHenry

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Our research attempted to identify the nature and causes of information management indeterminism in an online research environment and to propose solutions for alleviating this indeterminism. We conducted two empirical studies of information management activities. The first study identified the types and nature of information management indeterminism by evaluating archived texts. The second study focused on four sources of indeterminism: subject area knowledge, classification knowledge, system knowledge, and collaboration knowledge. A knowledge-based design for alleviating indeterminism, which contains a system-generated thesaurus and an inferencing engine, is also proposed in this article.

Original languageEnglish (US)
Pages (from-to)557-577
Number of pages21
JournalInformation Processing and Management
Volume30
Issue number4
DOIs
StatePublished - Jan 1 1994

ASJC Scopus subject areas

  • Information Systems
  • Media Technology
  • Computer Science Applications
  • Management Science and Operations Research
  • Library and Information Sciences

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