Management and performance features of cancer centers in Europe: A fuzzy-set analysis

Anke Wind; Mariana Fernandes Lobo; Joris van Dijk; Isabelle Lepage-Nefkens; Jose Laranja-Pontes; Vitor da Conceicao Goncalves; Willem H. van Harten; Francisco Nuno Rocha-Goncalves

doi:10.1016/j.jbusres.2016.04.162

Management and performance features of cancer centers in Europe: A fuzzy-set analysis

Anke Wind, Mariana Fernandes Lobo, Joris van Dijk, Isabelle Lepage-Nefkens, Jose Laranja-Pontes, Vitor da Conceicao Goncalves, Willem H. van Harten, Francisco Nuno Rocha-Goncalves (Corresponding Author)

Research output: Contribution to journal › Article › Academic › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	5507-5511
Journal	Journal of business research
Volume	69
Issue number	11
DOIs	https://doi.org/10.1016/j.jbusres.2016.04.162
Publication status	Published - 24 May 2016

Access to Document

10.1016/j.jbusres.2016.04.162

Fingerprint Dive into the research topics of 'Management and performance features of cancer centers in Europe: A fuzzy-set analysis'. Together they form a unique fingerprint.

Cite this

@article{46ab08ebf8fc430f8a6a42d4317b9094,

title = "Management and performance features of cancer centers in Europe: A fuzzy-set analysis",

abstract = "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.",

author = "Anke Wind and Lobo, {Mariana Fernandes} and {van Dijk}, Joris and Isabelle Lepage-Nefkens and Jose Laranja-Pontes and {da Conceicao Goncalves}, Vitor and {van Harten}, {Willem H.} and Rocha-Goncalves, {Francisco Nuno}",

year = "2016",

month = may,

day = "24",

doi = "10.1016/j.jbusres.2016.04.162",

language = "English",

volume = "69",

pages = "5507--5511",

journal = "Journal of business research",

issn = "0148-2963",

publisher = "Elsevier",

number = "11",

}

Management and performance features of cancer centers in Europe : A fuzzy-set analysis. / Wind, Anke; Lobo, Mariana Fernandes; van Dijk, Joris; Lepage-Nefkens, Isabelle; Laranja-Pontes, Jose; da Conceicao Goncalves, Vitor; van Harten, Willem H.; Rocha-Goncalves, Francisco Nuno (Corresponding Author).

In: Journal of business research, Vol. 69, No. 11, 24.05.2016, p. 5507-5511.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Management and performance features of cancer centers in Europe

T2 - A fuzzy-set analysis

AU - Wind, Anke

AU - Lobo, Mariana Fernandes

AU - van Dijk, Joris

AU - Lepage-Nefkens, Isabelle

AU - Laranja-Pontes, Jose

AU - da Conceicao Goncalves, Vitor

AU - van Harten, Willem H.

AU - Rocha-Goncalves, Francisco Nuno

PY - 2016/5/24

Y1 - 2016/5/24

N2 - 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.

AB - 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.

U2 - 10.1016/j.jbusres.2016.04.162

DO - 10.1016/j.jbusres.2016.04.162

M3 - Article

VL - 69

SP - 5507

EP - 5511

JO - Journal of business research

JF - Journal of business research

SN - 0148-2963

IS - 11

ER -