Artificial intelligence to counteract "KPI overload" in business process monitoring : the case of anti-corruption in public organizations
| Year of publication: |
2023
|
|---|---|
| Authors: | Caruso, Simone ; Bruccoleri, Manfredi ; Pietrosi, Astrid ; Scaccianoce, Antonio |
| Published in: |
Business process management journal. - Bingley : Emerald, ISSN 1758-4116, ZDB-ID 2014421-0. - Vol. 29.2023, 4, p. 1227-1248
|
| Subject: | Artificial intelligence | Big data | Business intelligence | Corruption | Fraud prevention | Internal control | KPI overload | Management control | Policy application | Procurement | Public organization | Künstliche Intelligenz | Korruption | Prozessmanagement | Business process management | Controlling | Öffentlicher Auftrag | Public contract | Anti-Korruption | Anti-corruption | Internes Kontrollsystem | Öffentlicher Sektor | Public sector | Big Data | Betriebliches Informationssystem | Business intelligence system |
-
Schön, Dietmar, (2023)
-
Schön, Dietmar, (2022)
-
Schön, Dietmar, (2022)
- More ...
-
Gastaldi, Luca, (2018)
-
Digital health technology enhances resilient behaviour : evidence from the ward
Rubbio, Iacopo, (2019)
-
Business agreements objectives and decisions: a field research
Riccobono, Francesca, (2013)
- More ...