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 journalArticleAcademicpeer-review

2 Citations (Scopus)


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 languageEnglish
Pages (from-to)5507-5511
JournalJournal of business research
Issue number11
Publication statusPublished - 24 May 2016


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