Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/35821

Title: Reducing information overload by optimising information retrieval approaches
Authors: Smith, Stephen C.
Issue Date: 2010
Publisher: © Stephen Smith
Abstract: The 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.]
Description: A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy at Loughborough University.
URI: https://dspace.lboro.ac.uk/2134/35821
Appears in Collections:PhD Theses (Information Science)

Files associated with this item:

File Description SizeFormat
Form-2010-Smith.pdf56.36 kBAdobe PDFView/Open
Thesis-2010-Smith.pdf64.57 MBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.