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An Exposition of CaRBS Based Data Mining: Investigating Intra Organization Strategic Consensus

An Exposition of CaRBS Based Data Mining: Investigating Intra Organization Strategic Consensus
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Author(s): Malcolm J. Beynon (Cardiff University, UK) and Rhys Andrews (Cardiff Business School, UK)
Copyright: 2010
Pages: 22
Source title: Data Mining in Public and Private Sectors: Organizational and Government Applications
Source Author(s)/Editor(s): Antti Syvajarvi (University of Lapland, Finland) and Jari Stenvall (Tampere University, Finland)
DOI: 10.4018/978-1-60566-906-9.ch014

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Abstract

The non-trivial extraction of implicit, previously unknown, interesting, and potentially useful information is at the heart of efforts to solve real-world problems; perhaps nowhere more so than in the field of organization studies. This chapter aims to describe the ability of a nascent data mining technique, Classification and Ranking Belief Simplex (CaRBS), to undertake analysis in the area of organization research in the public sector. The rudiments of CaRBS, and the RCaRBS development also employed, are based on the general methodology of Dempster-Shafer theory (DST), as such, the data mining analysis undertaken with CaRBS is associated with uncertain modelling. Throughout this chapter, a real application is considered, namely, using survey data drawn from a large multipurpose public organization, to examine the argument that consensus on strategic priorities is, at least partly, determined by an organization’s structure, process and environment.

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