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.
Foreward to the special issue: “Predictive and prescriptive analytics for service reorganization in times of transition” / Birolini, S.; Diglio, A.; Morlotti, C.; Piccolo, C.. - In: SOCIO-ECONOMIC PLANNING SCIENCES. - ISSN 0038-0121. - 100:(2025). [10.1016/j.seps.2025.102242]
Foreward to the special issue: “Predictive and prescriptive analytics for service reorganization in times of transition”
Diglio A.;Piccolo C.
2025
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


