My scientific production

Designing Interoperable Systems: Physical Internet, AI, and Infrastructure Governance

My research lies at the intersection of Business and Management Engineering (IEGE-01/A) and Information Processing Systems (IINF-05/A), but my objective is not simply to contribute to these fields: it is to redefine how we interpret and design contemporary complex systems.

The starting point is the Physical Internet. I do not consider it merely a logistics paradigm, but rather an epistemological architecture for understanding and governing the transformation of supply chains and, more broadly, economic infrastructures. The Physical Internet enables the transition beyond closed and fragmented models, introducing logics of interoperability, modularity, and distributed orchestration.

Building on this foundation, my research has progressively evolved toward the development of AI-enabled decision architectures. In this context, artificial intelligence is not an auxiliary technology, but a structural component of decision-making systems. The focus is on highly complex and critical environments — European logistics corridors, strategic infrastructures, and military mobility — where resilience, security, and predictive capabilities become necessary, rather than optional.

A second fundamental axis concerns the governance of socio-technical systems, with particular reference to sustainable food systems. Here, the challenge is not technological but institutional: how to design decision-making models in which data, algorithms, and human actors coexist coherently, ensuring transparency, accountability, and sustainability.

In parallel, I investigate the evolution of organizations toward cognitive enterprise models, in which the boundary between human and algorithmic decision-making becomes increasingly blurred. This entails a profound redefinition of organizational culture, competencies, and governance models.

My work develops along a precise trajectory:
from the Physical Internet to digital architectures, from AI to governance, and ultimately to cognitive decision systems.

This is not a linear path, but a progressive construction of an integrated framework to understand and design the digital transformation of complex systems.

Objective

My objective is to contribute to the definition of a new generation of theoretical and applied models, capable of integrating interoperability, resilience, and sustainability, while keeping the human dimension at the core of increasingly automated systems.
scopus-ieee

TrackOne: Smart Logistics for a Sustainable and Interoperable Agricultural Supply Chain in the Era of Digitization

Franco Maciariello, Fabrizio Benelli, Giovanna Sangiuolo, Eddi Lorenzi, Cristiana Caponio e Claudio Salvadori

Abstract

The study presents TrackOne, an IoT-, blockchain-, and GS1 EPCIS-based logistics architecture for the agrifood sector that enhances traceability, anomaly detection, sustainability, product quality, and waste reduction.
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Scopus

Enhance studentwell-being and digital literacy with machine learning and spatial analysis

Fabrizio Benelli, Erdet Këlliçi, Franco Maciariello, Claudio Salvadori e Vittorio Stile

Abstract

The study proposes a model that integrates machine learning and spatial econometrics to improve learning and student well-being, supporting personalized, inclusive, and data-driven educational strategies for learning environments.
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Scopus

AI-Driven Financial Risk Prevention: The Role of HR Analytics in Corporate Crisis Management under Industry 5.0

Alfonso Laudonia, Francesco Avolio, Nunzia Cosmo, Ida Giannetti, Paola Liberanome, Franco Maciariello e Vittorio Stile

Abstract

The study proposes an AI-based framework that integrates HR and financial data to enable the early prediction of corporate crises in SMEs, improving accuracy, transparency, regulatory compliance, and organizational resilience within the Industry 5.0 paradigm.
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IEEE

Real-Time Corridor Performance Monitoring for Critical Freight: An AI-Enabled Decision-Architecture Framework for Predictive Disruption Management

Franco Maciariello, Fabrizio Benelli, Eddi Lorenzi, Veronica Elena Bocci e Claudio Salvadori

Abstract

The study proposes an AI-enabled decision-making framework to strengthen the resilience of European rail freight corridors by enhancing monitoring, disruption management, governance, traceability, and the continuity of critical logistics flows.
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Sustainable Digital Transformation

Artificial intelligence for new governance models in sustainable food systems

Franco Maciariello, Giovanna Sangiuolo, chapter in Sustainable Digital Transformation: Leveraging AI and Knowledge Management for Business Excellence (Springer Nature), publication date: October 6, 2026.
Publication Details
IPIC2026 Conference Proceedings

From the Physical Internet to Real-World Logistics: Two Interoperable Architectures for Healthcare and Agrifood

From research to applied innovation at IPIC 2026, the premier international conference gathering leading researchers, universities, industry, and stakeholders shaping the future of the Physical Internet.
Papers Presented at IPIC 2026

Complete list of publications

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