Int. J. of Technology Intelligence and Planning   »   2011 Vol.7, No.2

 

 

Title: Corporate document mining for technology intelligence: an analysis of needs, utilisation and possibilities

 

Authors: Sungjoo Lee; Letizia Mortara; Clive Kerr; Robert Phaal; David Probert

 

Addresses:
Department of Industrial and Information Systems Engineering, Ajou University, San 5, Woncheon-dong, Paldal-gu, Suwon-si, Gyeonggi-do 443-749, Republic of Korea.
Centre for Technology Management, Institute for Manufacturing, University of Cambridge, Alan Reece Building, 17 Charles Babbage Road, Cambridge CB3 0FS, UK.
Centre for Technology Management, Institute for Manufacturing, University of Cambridge, Alan Reece Building, 17 Charles Babbage Road, Cambridge CB3 0FS, UK.
Centre for Technology Management, Institute for Manufacturing, University of Cambridge, Alan Reece Building, 17 Charles Babbage Road, Cambridge CB3 0FS, UK.
Centre for Technology Management, Institute for Manufacturing, University of Cambridge, Alan Reece Building, 17 Charles Babbage Road, Cambridge CB3 0FS, UK

 

Abstract: This paper focuses on document data, one of the most significant sources for technology intelligence. To help organisations use their knowledge in documents effectively, this research aims to identify what organisations really want from documents and what might be possible to obtain from them. The research involves a literature review, a series of in-depth/on-site interviews and a descriptive analysis of document mining applications. The output of the research includes: a document mining framework; an analysis of the current condition of document mining in technology-based organisations together with their future requirements; and guidelines for introducing document mining into an organisation along with a discussion on the practical issues that are faced by users.

 

Keywords: document mining; technology intelligence; innovation; case study; corporate documents; document data; organisational knowledge.

 

DOI: 10.1504/IJTIP.2011.043197

 

Int. J. of Technology Intelligence and Planning, 2011 Vol.7, No.2, pp.110 - 127

 

Available online: 19 Oct 2011

 

 

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