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Cited by 46Information Science and LibrariesPersonal Information Management and User BehaviorInformation Architecture and Usability

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

High value information in engineering organisations

Open access
Zhao, Yuyang, Tang, L.C.M., Darlington, M.J., Austin, S.A., Culley, S.J.·2008·International Journal of Information Management
DOI 10.1016/j.ijinfomgt.2007.09.007
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Abstract

The management of information in engineering organisations is facing a particular challenge in the ever-increasing volume of information. It has been recognised that an effective methodology is required to evaluate information in order to avoid information overload and to retain the right information for reuse. By using, as a starting point, a number of the current tools and techniques which attempt to obtain 'the value' of information, it is proposed that an assessment or filter mechanism for information is needed to be developed. This paper addresses this issue firstly by briefly reviewing the information overload problem, the definition of value, and related research work on the value of information in various areas. Then a ''characteristic'' based framework of information evaluation is introduced using the key characteristics identified from related work as an example. A Bayesian Network diagram method is introduced to the framework to build the linkage between the characteristics and information value in order to quantitatively calculate the quality and value of information. The training and verification process for the model is then described using 60 real engineering documents as a sample. The model gives a reasonable accurate result and the differences between the model calculation and training judgements are summarised as the potential causes are discussed. Finally, several further issues including the challenge of the framework and the implementations of this evaluation assessment method are raised.

Overview

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Registry

Crossref · 10.1016/j.ijinfomgt.2007.09.007

Cites

38 of 38 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 2

  1. Oppenheim, 2000, Valuing information assets in UK companies, Managing Information, 7, 56
  2. Pickard, 2004, Measuring electronic information resource: Towards a transferable quality framework for measuring value, The Journal of Information and Knowledge Management Systems, 34, 126

Cited by

See all 46

Metadata

Authors
Zhao, Y., Tang, L. C. M., Darlington, M. J., Austin, S. A., & Culley, S. J.
Affiliations
  • University of Bath (GB)
  • Loughborough University (GB)
Corresponding author
Zhao, Yuyang
ORCID
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2008-08
Volume
28
Issue
4
Pages
246-258
ISSN
0268-4012 (ISSN-L)
DOI
10.1016/j.ijinfomgt.2007.09.007
OpenAlex
W1966576360
Cited by
46
References
38
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2022: 4 · 2019: 3 · 2018: 2 · 2017: 3 · 2016: 3 · 2015: 3 · 2014: 1 · 2013: 5 · 2012: 4
FWCI
13.45
Type
journal article
Language
en
Open access
Licence
  • cc-by-nc-nd
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • International Journal of Information Management (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • CentAUR (University of Reading) (submittedVersion)
  • Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
  • Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
Funders
  • University of Exeter
  • University of Manchester
  • Economic and Social Research Council (RES-331-27-0006)
Topics
  • Social Sciences › Library and Information Sciences › Information Science and Libraries
  • Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
  • Physical Sciences › Computer Science › Information Systems › Information Architecture and Usability
Keywords
value of information, information overload, information evaluation, information reuse, engineering organizations, Bayesian networks, information quality assessment, information filtering, engineering documentation, information management

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.