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The design and evaluation of EKE, a semi-automated email knowledge extraction tool
This paper presents an approach to locating experts within organisations through the use of the indispensable communication medium and source of information, email. The approach was realised through the email expert locator architecture developed by the authors, which uses email content in the modelling of individuals' expertise profiles. The approach has been applied to a real-world application, EKE, and evaluated using focus group sessions and system trials. In this work, the authors report the findings obtained from the focus groups sessions. The aim of the sessions was to obtain information about the participants' perceptions, opinions, underlying attitudes, and recommendations with regard to the notion of exploiting email content for expertise profiling. The paper provides a review of the various approaches to expertise location that have been developed and highlights the end-users' perspectives on the usability and functionality of EKE and the socio-ethical challenges raised by its adoption from an industrial perspective. © 2012 Operational Research Society. All rights reserved.
History
School
- Business and Economics
Department
- Business
Citation
TEDMORI, S. and JACKSON, T., 2012. The design and evaluation of EKE, a semi-automated email knowledge extraction tool. Knowledge Management Research and Practice, 10 (1), pp. 79 - 88Publisher
Palgrave Macmillan / © Operational Research SocietyVersion
- AM (Accepted Manuscript)
Publication date
2012Notes
This is a post-peer-review, pre-copyedit version of an article published in Knowledge Management Research and Practice. The definitive publisher-authenticated version, TEDMORI, S. and JACKSON, T., 2012. The design and evaluation of EKE, a semi-automated email knowledge extraction tool. Knowledge Management Research and Practice, 10 (1), pp. 79 - 88 is available online at: http://dx.doi.org/10.1057/kmrp.2011.40ISSN
1477-8238eISSN
1477-8246Publisher version
Language
- en