Web Manifestations of Knowledge-Based Innovation Systems in the UK

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Hdl Handle:
http://hdl.handle.net/2436/33737
Title:
Web Manifestations of Knowledge-Based Innovation Systems in the UK
Authors:
Stuart, David
Abstract:
Innovation is widely recognised as essential to the modern economy. The term knowledgebased innovation system has been used to refer to innovation systems which recognise the importance of an economy’s knowledge base and the efficient interactions between important actors from the different sectors of society. Such interactions are thought to enable greater innovation by the system as a whole. Whilst it may not be possible to fully understand all the complex relationships involved within knowledge-based innovation systems, within the field of informetrics bibliometric methodologies have emerged that allows us to analyse some of the relationships that contribute to the innovation process. However, due to the limitations in traditional bibliometric sources it is important to investigate new potential sources of information. The web is one such source. This thesis documents an investigation into the potential of the web to provide information about knowledge-based innovation systems in the United Kingdom. Within this thesis the link analysis methodologies that have previously been successfully applied to investigations of the academic community (Thelwall, 2004a) are applied to organisations from different sections of society to determine whether link analysis of the web can provide a new source of information about knowledge-based innovation systems in the UK. This study makes the case that data may be collected ethically to provide information about the interconnections between web sites of various different sizes and from within different sectors of society, that there are significant differences in the linking practices of web sites within different sectors, and that reciprocal links provide a better indication of collaboration than uni-directional web links. Most importantly the study shows that the web provides new information about the relationships between organisations, rather than just a repetition of the same information from an alternative source. Whilst the study has shown that there is a lot of potential for the web as a source of information on knowledge-based innovation systems, the same richness that makes it such a potentially useful source makes applications of large scale studies very labour intensive.
Advisors:
Thelwall, Mike; Musgrove, Peter; Wilkinson, David
Publisher:
University of Wolverhampton
Issue Date:
2008
URI:
http://hdl.handle.net/2436/33737
Type:
Thesis or dissertation
Language:
en
Description:
A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy
Appears in Collections:
E-Theses

Full metadata record

DC FieldValue Language
dc.contributor.advisorThelwall, Mike-
dc.contributor.advisorMusgrove, Peter-
dc.contributor.advisorWilkinson, David-
dc.contributor.authorStuart, David-
dc.date.accessioned2008-07-31T13:15:17Z-
dc.date.available2008-07-31T13:15:17Z-
dc.date.issued2008-
dc.identifier.urihttp://hdl.handle.net/2436/33737-
dc.descriptionA thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophyen
dc.description.abstractInnovation is widely recognised as essential to the modern economy. The term knowledgebased innovation system has been used to refer to innovation systems which recognise the importance of an economy’s knowledge base and the efficient interactions between important actors from the different sectors of society. Such interactions are thought to enable greater innovation by the system as a whole. Whilst it may not be possible to fully understand all the complex relationships involved within knowledge-based innovation systems, within the field of informetrics bibliometric methodologies have emerged that allows us to analyse some of the relationships that contribute to the innovation process. However, due to the limitations in traditional bibliometric sources it is important to investigate new potential sources of information. The web is one such source. This thesis documents an investigation into the potential of the web to provide information about knowledge-based innovation systems in the United Kingdom. Within this thesis the link analysis methodologies that have previously been successfully applied to investigations of the academic community (Thelwall, 2004a) are applied to organisations from different sections of society to determine whether link analysis of the web can provide a new source of information about knowledge-based innovation systems in the UK. This study makes the case that data may be collected ethically to provide information about the interconnections between web sites of various different sizes and from within different sectors of society, that there are significant differences in the linking practices of web sites within different sectors, and that reciprocal links provide a better indication of collaboration than uni-directional web links. Most importantly the study shows that the web provides new information about the relationships between organisations, rather than just a repetition of the same information from an alternative source. Whilst the study has shown that there is a lot of potential for the web as a source of information on knowledge-based innovation systems, the same richness that makes it such a potentially useful source makes applications of large scale studies very labour intensive.en
dc.language.isoenen
dc.publisherUniversity of Wolverhamptonen
dc.subjectWebometricsen
dc.subjectLink analysisen
dc.subjectKnowledge-based innovation systemsen
dc.subjectTriple Helixen
dc.titleWeb Manifestations of Knowledge-Based Innovation Systems in the UKen
dc.typeThesis or dissertationen
dc.rights.embargodate2008-
dc.type.qualificationnamePhDen
dc.type.qualificationlevelDoctoralen
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