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

dc.contributor.authorWind, Anke
dc.contributor.authorLobo, Mariana Fernandes
dc.contributor.authorVan Dick, Joris
dc.contributor.authorLepage-Nefkens, Isabelle
dc.contributor.authorLaranja-Pontes, José
dc.contributor.authorGonçalves, Vítor da Conceição
dc.contributor.authorvan Harten, Wim
dc.contributor.authorRocha-Gonçalves, Francisco Nuno
dc.date.accessioned2022-07-21T10:48:40Z
dc.date.available2022-07-21T10:48:40Z
dc.date.issued2016
dc.description.abstractThe 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 productivitypt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationWind, Anke … [et al.]. (2016). "Management and performance features of cancer centers in Europe: a fuzzy-set analysis" , Journal of Business Research, Vol. 69, No.11: pp. 5507-5511.pt_PT
dc.identifier.doidoi.org/10.1016/j.jbusres.2016.04.162pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/24936
dc.language.isoengpt_PT
dc.subjectComparative Qualitative Analysispt_PT
dc.subjectCancer Centerspt_PT
dc.subjectFinancial Performancept_PT
dc.titleManagement and performance features of cancer centers in Europe : A fuzzy-set analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issueElsevierpt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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