An exposition of CaRBS based data mining: investigating intra organization strategic consensus

Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X and Andrews, Rhys William ORCID: https://orcid.org/0000-0003-1904-9819 2010. An exposition of CaRBS based data mining: investigating intra organization strategic consensus. Syvajarvi, Antti and Stenvall, Jari, eds. Data Mining in Public and Private Sectors: Organizational and Government Applications, Hershey, PA.: IGI Global, pp. 267-288.

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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.

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Publisher:	IGI Global
ISBN:	9781605669069
Related URLs:	Publisher Publisher
Last Modified:	19 Oct 2022 10:11
URI:	https://orca.cardiff.ac.uk/id/eprint/23534

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