This thesis forms part of a PhD by Publication based on the research and scholarly work of Sheila Wright. It explores her contribution to the field of Competitive Intelligence & Insight Management (CI&IM) made through ten articles published between 2002 and 2010. The research projects that involved the collection of primary data were carried out within a qualitative research methodology using a semi-structured interview or case study method and typically adopting a pragmatic paradigm. Through this work, it has been possible to present a best-practice framework for CI&IM. Similarly, it has been possible to develop an operational framework for CI&IM, which identifies the inter-connectivity of the CI&IM tasks as well as the organisational influencing factors which can aid or hinder successful implementation. As well as engaging in a critical evaluation of current CI&IM practice the thesis indicates how the articles offer solutions which can aid the delivery of improved performance to practitioners as well as academics who teach and research the subject. The thesis also identifies the place of CI&IM in the business discipline and draws attention to the cross-boundary, inter-disciplinary nature of its reach. The development of bibliometric software and citation identification programmes has enabled the inclusion of a citation analysis for each article which also identifies the context within which that citation was made. This is presented as supporting evidence for the contribution to knowledge and value of the body of work. Through this mechanism it has also been possible, not only to identify the frequency with which the articles have been cited, but more importantly, the impact and contribution this has had on scholars who have subsequently used the output and frameworks as a basis for their own research.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:534527 |
| Date | January 2011 |
| Creators | Wright, Sheila |
| Publisher | De Montfort University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://hdl.handle.net/2086/4976 |
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