Pregled bibliografske jedinice broj: 1006767
Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies
Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies // Croatian operational research review, 6 (2015), 1; 207-224 (recenziran, članak, znanstveni)
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Naslov
Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies
Autori
Milanović Glavan, Ljubica ; Bosilj Vukšić, Vesna ; Vlahović, Nikola
Izvornik
Croatian operational research review (1848-0225) 6
(2015), 1;
207-224
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Business Process Orientation maturity, Key turning points, Data mining, Decision trees, Croatia
Sažetak
Companies worldwide are embracing Business Process Orientation (BPO) in order to improve their overall performance. In this paper we report on the research results about key turning points in BPO maturity implementation efforts. A key turning point can be defined as a component of business process maturity that leads to the establishment and expansion of other factors that move the organization to the next maturity level. Over the past few years different methodologies for analysing maturity state of BPO have been developed. The purpose of this paper is to investigate the possibility of using data mining methods in detecting key turning points in BPO. Based on survey results obtained in 2013 selected data mining technique of classification and regression trees (C&RT) was used to detect key turning points in Croatian companies and 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
Ustanove:
Ekonomski fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- EconLit