Using Datamining Methodology for Detecting Turning Points in Business Process Orientation Maturity Models (CROSBI ID 559360)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vlahović, Nikola ; Milanović, Ljubica ; Škrinjar, Rok
engleski
Using Datamining Methodology for Detecting Turning Points in Business Process Orientation Maturity Models
Data mining is an approach to detecting meaningful new correlations, patterns and trends by applying pattern recognition techniques as well as statistical and mathematical methods to large datasets. Data mining methodology has proven to provide invaluable intrinsic information from datasets in a number of application areas. In this paper we argue that the research in business and management can also benefit from the introduction of data mining techniques. For this purpose selected data mining technique is used to analyze the maturity state of Business Process Orientation (BPO) of companies in Central and Eastern Europe. In order to determine the expansion of process oriented practices in companies a survey was conducted in 2008. Data was used for building a data mining model that revealed knowledge about conditions of business process organization and management for transition between different stages of the BPO Maturity Model. These findings present invaluable guidelines for any business that strives to achieve more efficient business processes.
Business Process Orientation; Maturity Models; Turning Points; Datamining; Decision Trees
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Podaci o prilogu
35-40.
2010.
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objavljeno
978-960-474-168-7
Podaci o matičnoj publikaciji
Recent Advances in Management, Marketing, Finance - Proceedings of the The 4th WSEAS International Conference on Management, Marketing and Finances (MMF'10)
Mastorakis, N. ; Mladenov, V. ; Zaharim, B. ; Bulucea, C.A.
Atena: WSEAS Press
1790-2769
Podaci o skupu
The 4th WSEAS International Conference on MANAGEMENT, MARKETING and FINANCES (MMF'10)
predavanje
23.03.2010-25.03.2010
Penang, Malezija