Pregled bibliografske jedinice broj: 726949
DECISION TREE LEARNING FOR TURNING POINTS DETECTION IN BUSINESS PROCESS ORIENTATION: CASE OF CROATIA
DECISION TREE LEARNING FOR TURNING POINTS DETECTION IN BUSINESS PROCESS ORIENTATION: CASE OF CROATIA // Book of Abstracts, 15th International Conference on Operational Research, koi 2014 / Scitovski, Rudolf ; Zekić-Sušac, Marijana ; Lukač, Zrinka (ur.).
Osijek: Hrvatsko društvo za operacijska istraživanja (CRORS), 2014. str. 112-112 (predavanje, međunarodna recenzija, sažetak, ostalo)
CROSBI ID: 726949 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
DECISION TREE LEARNING FOR TURNING POINTS DETECTION IN BUSINESS PROCESS ORIENTATION: CASE OF CROATIA
Autori
Milanović Glavan, Ljubica ; Bosilj Vukšić, Vesna ; Vlahović, Nikola
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo
Izvornik
Book of Abstracts, 15th International Conference on Operational Research, koi 2014
/ Scitovski, Rudolf ; Zekić-Sušac, Marijana ; Lukač, Zrinka - Osijek : Hrvatsko društvo za operacijska istraživanja (CRORS), 2014, 112-112
Skup
15th International Conference on Operational Research, koi 2014
Mjesto i datum
Osijek, Hrvatska, 24.09.2014. - 26.09.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
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. The purpose of this paper is to 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 analyzing maturity state of BPO have been developed. In this paper we argue that the research of BPO can also benefit from the introduction of data mining techniques. 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
Projekti:
067-0362980-2484 - Sustavi za upravljanje informacijama, procesima i znanjem (Bosilj Vukšić, Vesna, MZOS ) ( CroRIS)
Ustanove:
Ekonomski fakultet, Zagreb