Title :
Building a better intelligence machine: A new approach to capability review and development
Author :
Hodges, D.A. ; Creese, Sadie
Author_Institution :
Dept. of Comput. Sci., Univ. of Oxford, Oxford, UK
Abstract :
In this paper we propose a new approach for managing capability within organisations that are engaged in identity-attribution or identity-enrichment exercises. Specifically, we believe that a modelling framework which uses a bottom-up data-driven approach encapsulates the most appropriate abstraction of capability. In particular, that this should be agnostic (but aware) of the type of capability provider (whether a technology, service or a human) and that the capability framework be independent of specific staff or skill groups. In this way our approach could avoid the limitations of solely driving strategic capability enhancements through siloed role or skills-based staff pools, which are necessarily biased towards the staff management frameworks and potentially limit the strategic outcome.
Keywords :
competitive intelligence; organisational aspects; personnel; strategic planning; ad-hoc capability; bottom-up data-driven approach; identity-attribution exercise; identity-data possibilities; identity-enrichment exercise; intelligence machine; longer-term research directions; resource constraints; skill groups; staff groups; staff management frameworks; strategic capability enhancement planning; strategic partnerships; Biological system modeling; Business; Computational modeling; Planning; Security; Social network services; Taxonomy;
Conference_Titel :
Intelligence and Security Informatics (ISI), 2013 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-6214-6
DOI :
10.1109/ISI.2013.6578798