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 accessAbstract
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.
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“Specific use of this term is relatively recent, with papers such as Zhao, Tang, Darlington, Austin, and Culley (2008) on evaluating information in engineering documents and Ramírez-Noriega, Juárez-Ramírez, and Martínez-Ramírez (2017) using a Bayesian network as the design for an intelligent tutoring system.”
From Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda (2019) · cites this paper as Zhao et al., 2008
Citations
Cites
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Edmunds, A., & Morris, A. (2000) · International Journal of Information Management · doi:10.1016/s0268-4012(99)00051-1 · Cited by 1,004
Value of Information in Capacitated Supply Chains
Gavirneni, S., Kapuscinski, R., & Tayur, S. (1999) · Management Science · doi:10.1287/mnsc.45.1.16 · Cited by 888
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Techniques of value analysis and engineering
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Hacker, P. M. S. (2025) · Wiley eBooks · doi:10.1002/9781394278848.ch12 · Cited by 277
Hicks, B. J., Culley, S. J., Allen, R. D., & Mullineux, G. (2002) · International Journal of Information Management · doi:10.1016/s0268-4012(02)00012-9 · Cited by 232
Self-citation
Research works printed but not linked: 2
- Oppenheim, 2000, Valuing information assets in UK companies, Managing Information, 7, 56
- 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
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.021 · Cited by 2,628
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
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 28
- Issue
- 4
- Pages
- 246-258
- ISSN
- 0268-4012 (ISSN-L)
- 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
- green
- dspace.lboro.ac.uk
- 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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- CoChat. (2026). Citation check: High value information in engineering organisations. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2007.09.007
- The paper
- Zhao, Y., Tang, L. C. M., Darlington, M. J., Austin, S. A., & Culley, S. J. (2008). High value information in engineering organisations. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2007.09.007
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.