Conferences

The increasing convergence of physical infrastructure and digital communication networks is transforming critical supply chains into distributed cyber-physical systems (CPS), where disruptions propagate across tightly coupled physical and network layers. In domains such as rail, energy, and defense, these systems must ensure high levels of reliability, availability, and security under conditions of geopolitical instability, hybrid...

L’obiettivo di questo paper è proporre un framework socio-tecnico di Responsible People Analytics che armonizzi Intelligenza Artificiale (IA) e competenze umane per la sostenibilità organizzativa in enti di piccole e medie dimensioni. Metodologia È stato adottato un dataset (N= 287) integrato da quattro studi (Benelli et al., 2024; Benelli et al., 2025a; Benelli et al.,...

Obiettivo dell’articolo: L'obiettivo del presente articolo è analizzare come l’intelligenza artificiale (AI) possa potenziare governance e management control orientati alla sostenibilità nelle filiere agro-alimentari, traducendo gli standard CSRD/ESRS in routine di controllo trasparenti e tracciabili. Metodologia In termini metodologici, è stato realizzato un disegno abductive theory-building con triangolazione qualitativa e analisi multi-caso su tre PMI...

The resilience of European rail freight corridors is increasingly challenged by disruptions affecting the continuity of critical goods flows, including raw materials, semiconductors, energy equipment, and essential medical and chemical products. Although digital platforms and real-time monitoring systems have improved corridor observability, disruption management remains limited by the insufficient integration of operational data into formal...

Artificial intelligence for new governance models in sustainable food systems IRIS IRIS Home Sfoglia Macrotipologie & tipologie Autore Titolo Riviste Serie IT Italiano Italiano English English LOGIN 1.IRIS 2.Catalogo Ricerca 3.2 Contributo in Volume 4.2.1 Contributo in volume (Capitolo o Saggio) Artificial intelligence for new governance models in sustainable food systems F. Maciariello;G. Sangiuolo In...

This paper addresses a persistent research gap: existing financial-distress models rely almost exclusively on ex post accounting ratios, overlooking human-capital variables that often signal crises much earlier. We propose an Artificial Intelligence (AI)-driven framework that integrates HR analytics with financial indicators under the Industry 5.0 paradigm. The pipeline combines machine learning, NLP, federated learning and...

Explainable Artificial Intelligence is commonly framed as an optional add-on to technical AI design or as a complianceoriented enhancement that becomes relevant only in narrow regulatory contexts. Yet the rapid expansion of AI into highly regulated industries, critical infrastructures, public services and enterprise decision-making demonstrates that the real strategic challenge for leadership is not simply...

The integration of Artificial Intelligence (AI) and Cyber-Physical Production Systems (CPPS) into smart manufacturing has produced a critical organizational paradox: while advanced algorithmic recommendations (eg, predictive maintenance alerts, autonomous scheduling) significantly increase shop-floor informational availability, manufacturing organizations frequently exhibit systematic patterns of operational inaction, escalation paralysis, and decision deferral. Existing smart manufacturing literature primarily addresses...

Clinical trials are increasingly adopting decentralized and direct-to-patient delivery models, but these models intensify the need for auditable chain-of-custody, condition control, and coordinated execution across heterogeneous logistics actors. This paper presents TREATMENT as a Physical-Internet-enabled reference architecture for regulated direct-to-patient clinical trial logistics. The contribution does not lie in standards adoption alone, but in the...

Wholesale fresh-produce markets are critical territorial infrastructures, yet they remain difficult environments for Physical Internet deployment because operations are time-compressed, multi-actor, temperature-sensitive, and only partially digitalized. We present the design of a container-centric digitalization approach for Mercato Ortofrutticolo del Roero, framed as a Physical-Internet node. The approach combines reusable-crate identification, zone-based location awareness, EPCIS 2.0...

The future of energy distribution will increasingly depend on data rather than electrons, as already noted in recent industrial analyses and European policy documents. The progressive digitalization of electrical networks, the rapid diffusion of distributed generation and the emergence of new forms of energy intelligence are reshaping the business foundations of utilities. Energy has historically...

This paper introduces TrackOne, a low-cost, GDPRcompliant logistics architecture for agricultural supply chains. By integrating IoT, Hyperledger Fabric blockchain, and GS1 EPCIS 2.0 standards, it enables real-time traceability and automated anomaly detection. Unlike enterprise solutions limited to RFID or temperature data, TrackOne fuses multimodal inputs, including ethylene, weight, and GPS, for predictive quality control and...

This desk‑based review investigates how corporate training can support the transition from the efficiency‑oriented paradigm of Industry 4.0 to the human‑centric vision of Society 5.0. Drawing on philosophical, legal, economic, engineering and occupational‑health literatures, as well as European and Italian policy sources, the study maps converging requirements for inclusive, technology‑enabled learning. Analysis shows that (i)...

The Physical Internet (PI) has emerged as a systemic paradigm for overcoming inefficiencies and fragmentation in logistics by introducing modular, interoperable, and hyperconnected infrastructures. Building on foundational PI work and European roadmaps (Montreuil; Ballot; ALICE-ETP), this paper extends the PI concept to the energy sector, advancing the notion of an “Energy Physical Internet”(EPI). Here, electricity...

Traditional enterprise automation systems often lack the contextual intelligence and flexibility required in logistics-intensive environments, particularly for small and Medium-Sized Enterprises (SME). This paper proposes a fivephase implementation framework for Cognitive En-terprise Hubs (CEH), emphasizing role-sensitive deployment and continuous alignment between human and Artificial Intelligence (AI). The model combines architectural planning, AI integration and cultural...

The sustainable management and valorisation of heritage assets increasingly require digital infrastructures able to combine efficiency, inclusiveness, and resilience. Current heritage conservation and tourism logistics often suffer from fragmentation, limited interoperability across institutions, and insufficient real-time monitoring. This paper proposes an Urban Physical Internet (U-PI) architecture that applies principles of modularity, openness, and interoperability to...

The Physical Internet (PI) has been conceptualized as a disruptive response to inefficiencies and fragmentation in logistics. Through modularization, interoperability, and open hubs, PI envisions a hyperconnected and sustainable road freight ecosystem. Yet its realization critically depends on Artificial Intelligence (AI) as the principal enabler of decentralized orchestration. This paper develops a theoretical framework for...

Distributed Artificial Intelligence (DAI) is transforming healthcare systems by enabling collaborative, privacy-preserving data analysis across institutions. Technologies such as Federated Learning and Edge Computing allow the development of high-performing AI models without centralized data storage, addressing regulatory constraints while opening new pathways for innovation. However, the adoption of DAI introduces multidimensional tensions involving technological, economic,...

Advanced data analytics and machine learning can reshape the way schools cultivate both digital skills and student well-being. We analysed data from three Italian high-school classes (𝑁= 64), combining random-forest and neural-network predictors with Spatial Autoregressive and Geographically Weighted Regression models. The approach captures how individual attributes, classroom geography and peer interactions jointly influence learning....

The conference book contains the abstracts of the 35th International Conference of the European Association for REsearch on SERvices–RESER titled “Rethinking Services for Society 5.0: Opportunities and Challenges”, which took place from 29th to 31st October 2025 in Rome (Italy). The Conference has been organized by the School of Economics of the Tor Vergata University...

This study examines the impact of digital technologies on organizational culture in innovative telecommunications SMEs. A survey across three companies was conducted, analyzing key performance indicators through ANOVA, multiple regression, and SEM. Results reveal significant positive correlations between technology adoption and productivity, work quality, decisionmaking speed, and employee satisfaction. The strongest effects were observed in...