Pregled bibliografske jedinice broj: 448568
Using Datamining Methodology for Detecting Turning Points in Business Process Orientation Maturity Models
Using Datamining Methodology for Detecting Turning Points in Business Process Orientation Maturity Models // 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. (ur.).
Atena: WSEAS Press, 2010. str. 35-40 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 448568 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Using Datamining Methodology for Detecting Turning Points in Business Process Orientation Maturity Models
Autori
Vlahović, Nikola ; Milanović, Ljubica ; Škrinjar, Rok
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
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, 2010, 35-40
ISBN
978-960-474-168-7
Skup
The 4th WSEAS International Conference on MANAGEMENT, MARKETING and FINANCES (MMF'10)
Mjesto i datum
Penang, Malezija, 23.03.2010. - 25.03.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Business Process Orientation; Maturity Models; Turning Points; Datamining; Decision Trees
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
067-0362980-2484 - Sustavi za upravljanje informacijama, procesima i znanjem (Bosilj Vukšić, Vesna, MZOS ) ( CroRIS)
Ustanove:
Ekonomski fakultet, Zagreb
