Starting from the general domain of the present special issue (entitled: “Predictive and prescriptive analytics for service reorganization in times of transition”) and the primary motivations for its launch, the editorial discusses the collection of papers accepted for publication. These articles showcase the use of a wide range of quantitative methodologies across multiple application fields, highlighting the relevance of analytics to decision-making theory and practice. Moreover, they underscore the potential for interdisciplinary approaches in tackling open and emerging challenges within evolving goods and service network ecosystems.

(2025). Foreward to the Special Issue: “Predictive and prescriptive analytics for service reorganization in times of transition” [editorial - editoriale]. In SOCIO-ECONOMIC PLANNING SCIENCES. Retrieved from https://hdl.handle.net/10446/304226

Foreward to the Special Issue: “Predictive and prescriptive analytics for service reorganization in times of transition”

Birolini, Sebastian;Morlotti, Chiara;
2025-01-01

Abstract

Starting from the general domain of the present special issue (entitled: “Predictive and prescriptive analytics for service reorganization in times of transition”) and the primary motivations for its launch, the editorial discusses the collection of papers accepted for publication. These articles showcase the use of a wide range of quantitative methodologies across multiple application fields, highlighting the relevance of analytics to decision-making theory and practice. Moreover, they underscore the potential for interdisciplinary approaches in tackling open and emerging challenges within evolving goods and service network ecosystems.
editoriale
2025
Birolini, Sebastian; Diglio, Antonio; Morlotti, Chiara; Piccolo, Carmela
(2025). Foreward to the Special Issue: “Predictive and prescriptive analytics for service reorganization in times of transition” [editorial - editoriale]. In SOCIO-ECONOMIC PLANNING SCIENCES. Retrieved from https://hdl.handle.net/10446/304226
File allegato/i alla scheda:
File Dimensione del file Formato  
Birolini et al. 2025 - SI editorial.pdf

Solo gestori di archivio

Versione: publisher's version - versione editoriale
Licenza: Licenza default Aisberg
Dimensione del file 299.41 kB
Formato Adobe PDF
299.41 kB Adobe PDF   Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/304226
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact