This paper presents an analysis of 53 Italian Benefit Corporations (BCs) to describe possible combinations of organizational factors that create different “recipes” for achieving high B Impact Assessment (BIA). A fuzzy-set qualitative comparative analysis (fsQCA) is applied to highlight how size, age, profitability, and female presence can be combined to achieve a high BIA.
High Performance Benefit Corporations: Exploring Recipes to Increase the B Impact Assessment
Silvia Cantele
;Chiara Leardini;Luca Piubello Orsini;Silvia Valcozzena
2021-01-01
Abstract
This paper presents an analysis of 53 Italian Benefit Corporations (BCs) to describe possible combinations of organizational factors that create different “recipes” for achieving high B Impact Assessment (BIA). A fuzzy-set qualitative comparative analysis (fsQCA) is applied to highlight how size, age, profitability, and female presence can be combined to achieve a high BIA.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
Estratto conference proceedings.pdf
accesso aperto
Tipologia:
Documento in Post-print
Licenza:
Accesso ristretto
Dimensione
496.4 kB
Formato
Adobe PDF
|
496.4 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
