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Publication detail
BARTES, F.
Original Title
Five-Phase Model of the Intelligence Cycle of Competitive Intelligence.
Type
journal article - other
Language
English
Original Abstract
In business Competitive Intelligence practice is often used four-phase model of intelligence cycle in Competitive Intelligence and Management, collection, analysis and distribution. Based on its 20 years of business experience, the author believes that this four-phase model CI cycle is suitable for simpler tasks of CI, or its use is appropriate in the particular circumstances of governmental organizations - eg CIA etc.. But current business practice confronts Competitive Intelligence in a globalized world much more demanding tasks. For lack of basic four-step model of intelligence cycle author considers a substantial disparity of the data, information or snippets of information. It is these disparate elements, which then enter the next phase of the intelligence cycle - analysis. It is a fact that these figures, data or pieces of information can be well developed in the intelligence analysis only to a limited extent. Larger quantities of data have resulted in the high-quality processing. This leads top management to its strategic decision-making with less quality materials. These problems can be solved by using the five phase model of intelligence cycle in Competitive Intelligence.
Keywords
intelligence cycle, competitive intelligence, decision-making process, intelligence analysis, four-phase model, five-phase model.
Authors
RIV year
2013
Released
2. 4. 2013
Publisher
MZLU v Brně
Location
Brno
ISBN
1211-8516
Periodical
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
Year of study
LXI
Number
2
State
Czech Republic
Pages from
283
Pages to
288
Pages count
6
BibTex
@article{BUT99293, author="František {Bartes}", title="Five-Phase Model of the Intelligence Cycle of Competitive Intelligence.", journal="Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis", year="2013", volume="LXI", number="2", pages="283--288", issn="1211-8516" }