Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies
Companies worldwide are embracing Business Process Orientation (BPO) in order to improve their overall performance. This paper presents research results on key turning points in BPO maturity implementation efforts. A key turning point is defined as a component of business process maturity that leads...
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| Format: | Article |
| Language: | English |
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Croatian Operational Research Society
2015-03-01
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| Series: | Croatian Operational Research Review |
| Subjects: | |
| Online Access: | http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=204325 |
| _version_ | 1818229104489529344 |
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| author | Ljubica Milanović Glavan Vesna Bosilj Vukšić Nikola Vlahović |
| author_facet | Ljubica Milanović Glavan Vesna Bosilj Vukšić Nikola Vlahović |
| author_sort | Ljubica Milanović Glavan |
| collection | DOAJ |
| description | Companies worldwide are embracing Business Process Orientation (BPO) in order to improve their overall performance. This paper presents research results on key turning points in BPO maturity implementation efforts. A key turning point is 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. 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, the selected data mining technique of classification and regression trees (C&RT) was used to detect key turning points in Croatian companies. These findings present invaluable guidelines for any business that strives to achieve more efficient business processes. |
| first_indexed | 2024-12-12T10:13:18Z |
| format | Article |
| id | doaj.art-2ea0006e2e844098ac6d7721fbdfcb85 |
| institution | Directory Open Access Journal |
| issn | 1848-0225 1848-9931 |
| language | English |
| last_indexed | 2024-12-12T10:13:18Z |
| publishDate | 2015-03-01 |
| publisher | Croatian Operational Research Society |
| record_format | Article |
| series | Croatian Operational Research Review |
| spelling | doaj.art-2ea0006e2e844098ac6d7721fbdfcb852022-12-22T00:27:43ZengCroatian Operational Research SocietyCroatian Operational Research Review1848-02251848-99312015-03-016120722410.17535/crorr.2015.0017Decision tree learning for detecting turning points in business process orientation: a case of Croatian companiesLjubica Milanović Glavan0Vesna Bosilj Vukšić1Nikola Vlahović2Faculty of Economics and Business, University of Zagreb, Zagreb, CroatiaFaculty of Economics and Business, University of Zagreb, Zagreb, CroatiaFaculty of Economics and Business, University of Zagreb, Zagreb, CroatiaCompanies worldwide are embracing Business Process Orientation (BPO) in order to improve their overall performance. This paper presents research results on key turning points in BPO maturity implementation efforts. A key turning point is 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. 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, the selected data mining technique of classification and regression trees (C&RT) was used to detect key turning points in Croatian companies. These findings present invaluable guidelines for any business that strives to achieve more efficient business processes.http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=204325business process orientation maturitykey turning pointsdata miningdecision treesCroatia |
| spellingShingle | Ljubica Milanović Glavan Vesna Bosilj Vukšić Nikola Vlahović Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies Croatian Operational Research Review business process orientation maturity key turning points data mining decision trees Croatia |
| title | Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies |
| title_full | Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies |
| title_fullStr | Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies |
| title_full_unstemmed | Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies |
| title_short | Decision tree learning for detecting turning points in business process orientation: a case of Croatian companies |
| title_sort | decision tree learning for detecting turning points in business process orientation a case of croatian companies |
| topic | business process orientation maturity key turning points data mining decision trees Croatia |
| url | http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=204325 |
| work_keys_str_mv | AT ljubicamilanovicglavan decisiontreelearningfordetectingturningpointsinbusinessprocessorientationacaseofcroatiancompanies AT vesnabosiljvuksic decisiontreelearningfordetectingturningpointsinbusinessprocessorientationacaseofcroatiancompanies AT nikolavlahovic decisiontreelearningfordetectingturningpointsinbusinessprocessorientationacaseofcroatiancompanies |