Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies
| Autor: | Vesna Bosilj Vukšić, Nikola Vlahović, Ljubica Milanović Glavan |
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| Rok vydání: | 2015 |
| Předmět: |
Statistics and Probability
Economics and Econometrics Process management business process orientation maturity decision trees Operations research Croatia Business Process Orientation maturity Key turning points Data mining Decision trees Business process Computer science key turning points lcsh:T57-57.97 Applied Mathematics Decision tree learning Decision tree data mining Management Science and Operations Research Maturity (finance) Order (business) Component (UML) lcsh:Applied mathematics. Quantitative methods Key (cryptography) Business Process Orientation maturity Key turning points Data mining Decision trees Croatia Statistics Probability and Uncertainty Business process orientation |
| Zdroj: | Croatian Operational Research Review, Vol 6, Iss 1, Pp 207-224 (2015) Croatian Operational Research Review Volume 6 Issue 1 |
| ISSN: | 1848-9931 1848-0225 |
| DOI: | 10.17535/crorr.2015.0017 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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