Risk management represents a crucial component for modern enterprises, yet traditional performance measurement systems often overlook this fundamental dimension. This article explores how to effectively integrate risk variables into Performance Management Systems, analyzing limitations of conventional approaches like Balanced Scorecard and Objective and Key Results when used without risk management considerations. Various integration methods are presented: from creating dedicated risk control dimensions to utilizing probabilistic tools such as Value at Risk and Monte Carlo simulations, up to implementing Key Risk Indicators alongside traditional Key Performance Indicators. A wine company case study concretely demonstrates how these approaches can identify and quantify critical risks, highlighting the impact of geographical concentration on performance. The analysis reveals how an integrated control and measurement system can transform risk management from reactive activity to proactive strategy, improving organizational resilience and supporting more informed managerial decisions.
La gestione del rischio rappresenta oggi una componente cruciale per leimprese, eppure i tradizionali sistemi di misurazione delle performance spesso trascurano questa dimensione fondamentale. L’articolo esplora come integrare efficacemente la variabile rischio nei Performance Management Systems, analizzando le limitazioni degli approcci convenzionali come Balanced Scorecard e Objective and Key Results quando utilizzati senza considerazioni di risk management. Vengono presentate diversemodalità di integrazione: dalla creazione di dimensioni di controllo dedicate al rischio, all’utilizzo di strumenti probabilistici come Value at Risk e simulazioni Monte Carlo, fino all’implementazione di Key Risk Indicators affiancati ai tradizionali Key Performance Indicator. Il caso studio di un’azienda vitivinicola dimostra concretamente come questi approcci possano identificare e quantificare rischi critici, evidenziando l’impatto della concentrazione geografica sulle performance. L’analisi rivela come un sistema integrato di controllo e misurazione possa trasformare la gestione del rischio da attività reattiva a strategia proattiva, migliorando la resilienza organizzativa e supportando decisioni manageriali più informate.
Giardini, B., Silvi, R. (2025). LA VARIABILE RISCHIO NEI SISTEMI DI CONTROLLO E MISURAZIONE DELLE PERFORMANCE. CONTROLLO DI GESTIONE, 6, 40-49.
LA VARIABILE RISCHIO NEI SISTEMI DI CONTROLLO E MISURAZIONE DELLE PERFORMANCE
Giardini Beatrice
Primo
Writing – Original Draft Preparation
;Silvi Riccardo
Secondo
Writing – Original Draft Preparation
2025
Abstract
Risk management represents a crucial component for modern enterprises, yet traditional performance measurement systems often overlook this fundamental dimension. This article explores how to effectively integrate risk variables into Performance Management Systems, analyzing limitations of conventional approaches like Balanced Scorecard and Objective and Key Results when used without risk management considerations. Various integration methods are presented: from creating dedicated risk control dimensions to utilizing probabilistic tools such as Value at Risk and Monte Carlo simulations, up to implementing Key Risk Indicators alongside traditional Key Performance Indicators. A wine company case study concretely demonstrates how these approaches can identify and quantify critical risks, highlighting the impact of geographical concentration on performance. The analysis reveals how an integrated control and measurement system can transform risk management from reactive activity to proactive strategy, improving organizational resilience and supporting more informed managerial decisions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


