engleski

DECISION TREE LEARNING FOR TURNING POINTS DETECTION IN BUSINESS PROCESS ORIENTATION: CASE OF CROATIA

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.

Business Process Orientation maturity; Key turning points; Data mining; Decision trees; Croatia

nije evidentirano