Management and performance features of cancer centers in Europe: A fuzzy-set analysis
The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses dat...
Ausführliche Beschreibung
Autor*in: |
Wind, Anke [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2016transfer abstract |
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5 |
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Übergeordnetes Werk: |
Enthalten in: RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals - Xie, Hongxian ELSEVIER, 2022, JBR, New York, NY |
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Übergeordnetes Werk: |
volume:69 ; year:2016 ; number:11 ; pages:5507-5511 ; extent:5 |
Links: |
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DOI / URN: |
10.1016/j.jbusres.2016.04.162 |
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ELV01908885X |
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520 | |a The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. | ||
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10.1016/j.jbusres.2016.04.162 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001946.pica (DE-627)ELV01908885X (ELSEVIER)S0148-2963(16)30366-6 DE-627 ger DE-627 rakwb eng 670 VZ 51.00 bkl Wind, Anke verfasserin aut Management and performance features of cancer centers in Europe: A fuzzy-set analysis 2016transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. Lobo, Mariana Fernandes oth van Dijk, Joris oth Lepage-Nefkens, Isabelle oth Laranja-Pontes, José oth da Conceição Gonçalves, Vítor oth van Harten, Wim oth Rocha-Gonçalves, Francisco Nuno oth Enthalten in Elsevier Xie, Hongxian ELSEVIER RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals 2022 JBR New York, NY (DE-627)ELV008600120 volume:69 year:2016 number:11 pages:5507-5511 extent:5 https://doi.org/10.1016/j.jbusres.2016.04.162 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 69 2016 11 5507-5511 5 |
spelling |
10.1016/j.jbusres.2016.04.162 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001946.pica (DE-627)ELV01908885X (ELSEVIER)S0148-2963(16)30366-6 DE-627 ger DE-627 rakwb eng 670 VZ 51.00 bkl Wind, Anke verfasserin aut Management and performance features of cancer centers in Europe: A fuzzy-set analysis 2016transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. Lobo, Mariana Fernandes oth van Dijk, Joris oth Lepage-Nefkens, Isabelle oth Laranja-Pontes, José oth da Conceição Gonçalves, Vítor oth van Harten, Wim oth Rocha-Gonçalves, Francisco Nuno oth Enthalten in Elsevier Xie, Hongxian ELSEVIER RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals 2022 JBR New York, NY (DE-627)ELV008600120 volume:69 year:2016 number:11 pages:5507-5511 extent:5 https://doi.org/10.1016/j.jbusres.2016.04.162 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 69 2016 11 5507-5511 5 |
allfields_unstemmed |
10.1016/j.jbusres.2016.04.162 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001946.pica (DE-627)ELV01908885X (ELSEVIER)S0148-2963(16)30366-6 DE-627 ger DE-627 rakwb eng 670 VZ 51.00 bkl Wind, Anke verfasserin aut Management and performance features of cancer centers in Europe: A fuzzy-set analysis 2016transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. Lobo, Mariana Fernandes oth van Dijk, Joris oth Lepage-Nefkens, Isabelle oth Laranja-Pontes, José oth da Conceição Gonçalves, Vítor oth van Harten, Wim oth Rocha-Gonçalves, Francisco Nuno oth Enthalten in Elsevier Xie, Hongxian ELSEVIER RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals 2022 JBR New York, NY (DE-627)ELV008600120 volume:69 year:2016 number:11 pages:5507-5511 extent:5 https://doi.org/10.1016/j.jbusres.2016.04.162 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 69 2016 11 5507-5511 5 |
allfieldsGer |
10.1016/j.jbusres.2016.04.162 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001946.pica (DE-627)ELV01908885X (ELSEVIER)S0148-2963(16)30366-6 DE-627 ger DE-627 rakwb eng 670 VZ 51.00 bkl Wind, Anke verfasserin aut Management and performance features of cancer centers in Europe: A fuzzy-set analysis 2016transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. Lobo, Mariana Fernandes oth van Dijk, Joris oth Lepage-Nefkens, Isabelle oth Laranja-Pontes, José oth da Conceição Gonçalves, Vítor oth van Harten, Wim oth Rocha-Gonçalves, Francisco Nuno oth Enthalten in Elsevier Xie, Hongxian ELSEVIER RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals 2022 JBR New York, NY (DE-627)ELV008600120 volume:69 year:2016 number:11 pages:5507-5511 extent:5 https://doi.org/10.1016/j.jbusres.2016.04.162 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 69 2016 11 5507-5511 5 |
allfieldsSound |
10.1016/j.jbusres.2016.04.162 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001946.pica (DE-627)ELV01908885X (ELSEVIER)S0148-2963(16)30366-6 DE-627 ger DE-627 rakwb eng 670 VZ 51.00 bkl Wind, Anke verfasserin aut Management and performance features of cancer centers in Europe: A fuzzy-set analysis 2016transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. Lobo, Mariana Fernandes oth van Dijk, Joris oth Lepage-Nefkens, Isabelle oth Laranja-Pontes, José oth da Conceição Gonçalves, Vítor oth van Harten, Wim oth Rocha-Gonçalves, Francisco Nuno oth Enthalten in Elsevier Xie, Hongxian ELSEVIER RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals 2022 JBR New York, NY (DE-627)ELV008600120 volume:69 year:2016 number:11 pages:5507-5511 extent:5 https://doi.org/10.1016/j.jbusres.2016.04.162 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 69 2016 11 5507-5511 5 |
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management and performance features of cancer centers in europe: a fuzzy-set analysis |
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Management and performance features of cancer centers in Europe: A fuzzy-set analysis |
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The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. |
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The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. |
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The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses data on seven centers from a European benchmarking project: BENCH-CAN. The fsQCA uses the net income and productivity as the outcome conditions and five explanatory conditions: the level of dedication to R&D, annual budget level, size, type, and whether the center is a comprehensive cancer center. Despite the modest number of cases, the study successfully applies the fsQCA. The findings show that public, comprehensive cancer centers with at least two of the three other explanatory conditions (dedication to R&D, annual budget, or size) have an association with high net income and high productivity. |
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