Thesis-2010-Smith.pdf (63.06 MB)
Reducing information overload by optimising information retrieval approaches
thesis
posted on 2018-11-08, 11:48 authored by Stephen C. SmithThe information within an organisation forms a fundamental part of its success. In
recent years the volume of information housed and processed by organisations has
increased exponentially and grown to such a rate that it can be difficult to harness
and make successful use of that information. This growth of information has led to
the increasing prevalence of the concept of information overload. Although
information overload is not a new concept, it is still considered a large-scale
problem, with its effect upon the workplace and employees becoming increasingly
detrimental. With the increase in available information comes the potential for
increased overload.
This research addresses some of the potential barriers that may exist preventing
effective discovery, storage and sharing of information and thus increasing the
information overload problem. [Continues.]
History
School
- Science
Department
- Information Science
Publisher
© Stephen SmithPublisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2010Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy at Loughborough University.Language
- en