Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542583
Title: Reducing information overload by optimising information retrieval approaches
Author: Smith, Stephen C.
ISNI:       0000 0004 2707 0973
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2010
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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.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.542583  DOI: Not available
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