Innovation Manager & Physical Internet evangelist
Innovation Manager and PhD Fellow in Big Data and Artificial Intelligence, researcher in Physical Internet and Digital Transformation, I focus on their impact on SMEs and promote innovation and advanced training through the proper use of artificial intelligence.
PhD Fellow in Big Data & Artificial Intelligence Physical Internet Innovation Manager MiMit Impact Manager Digital Transformation Evangelist
Dissemination and sharing activities of research on the Physical Internet
I regularly participate in the debate and scientific production on the Physical Internet (PI), presenting contributions at national and international conferences and events that explore the multiple application dimensions of the PI paradigm in real-world contexts.
Catholic University of the Sacred Heart
22–23 January
Milan
Event Program
The Conference aims to move beyond dichotomous interpretations of technological innovation, encouraging critical reflection on the ways in which algorithmic contributions and human agency are integrated, as well as on the resulting organizational, economic, social, and ethical implications. Within this context, the need emerges to renew the theoretical and interpretative paradigms of business disciplines and to define appropriate governance solutions capable of maintaining a dynamic balance among the different intelligences. The harmonization of business intelligences is directed toward the pursuit of sustainable competitiveness and the common good, grounded in the awareness that corporate longevity depends on the ability to generate and share value in an equitable manner, while keeping people at the center of strategic action.
PAPERS PRESENTED AT THE CONFERENCE
AI-Enabled People & Culture: a socio-technical framework for organizational sustainability
The paper is part of Track 7 of the conference and addresses the issue of the responsible use of artificial intelligence in people management processes and in the pursuit of organizational sustainability. The contribution proposes a Responsible People Analytics framework that integrates AI systems, human competencies, and organizational culture, placing trust, participation, and ethical data governance at its core.
Through a multi-method empirical design (SEM, Machine Learning, and spatial econometrics), the study demonstrates that AI adoption generates positive effects on key People KPIs only in the presence of collaborative organizational climates and adequate mechanisms of accountability and transparency. Particular emphasis is placed on intra-team spillover effects and on the role of ethical governance as a lever for both sustainability and the legitimacy of AI.
The paper contributes to Track 7 by providing theoretical and operational evidence on how to harmonize artificial intelligence and human capital, strengthening well-being, performance, and long-term sustainability.
The paper proposes the AI-enabled Accountability Control model, which conceptualizes artificial intelligence as a socio-technical infrastructure of trust and responsibility for sustainable enterprises. The aim of this study is to examine how AI can enhance sustainability-oriented governance and management control in agri-food supply chains by translating CSRD/ESRS standards into transparent, traceable, and assurability-oriented control routines.
The research is based on an abductive theory-building design with qualitative triangulation and a multi-case analysis of three Italian SMEs (fruit and vegetable, PDO dairy, and cereal sectors), drawing on interviews, technical documentation, digital trace data, and PRE/POST validation of ESG KPIs. The findings show that the integration of explainable AI, ledger technologies, and data governance into control packages reconfigures Simons’ Levers of Control, generating three governance configurations—diagnostic amplifier, collaborative assurer, and interactive enabler—that enhance traceability, auditability, and inter-organizational trust.
Although triangulated, the empirical evidence is qualitative and limited to three Italian supply chains; future multi-sector extensions and survey-based and SEM analyses will be required to test the generalizability of the proposed mechanisms. AI emerges as an artifact of distributed accountability: it strengthens assurance readiness, reduces information asymmetries, and supports sustainable decision-making.
The paper contributes to Track 3 – GOVERNANCE, STRATEGY, ACCOUNTING: MANAGERIAL INTELLIGENCES FOR SUSTAINABILITY.
University of Florence
February 11–13
Florence
Conference Presentation
- Human–AI Integration: the study of systems that enhance human capabilities while ensuring ethical and transparent oversight.
- Safety and Cybersecurity: protecting critical infrastructures through intelligent analytics and risk management.
- Intelligent Infrastructures and Logistics: application of the Physical Internet (PI) paradigm to optimize goods and energy flows.
- Human Factors and Cognitive Load: analysis of how automation influences decision-making processes and operator well-being.
Paper Presented at the Conference
- AI-Based Orchestration: Use of reinforcement learning (Reinforcement Learning) and LSTM networks to optimize logistics routing in real time and predict energy loads.
- Integrated Cybersecurity: A security layer based on SIEM systems that accelerates threat detection by 35–55% compared to conventional methods.
- Human–AI Collaboration: A cognitive interface that reduces operator workload by 18%, ensuring effective human oversight without overburdening operators with automation.
- Experimental Results: Tests demonstrated a 12–18% improvement in logistics load efficiency and an 8–14% reduction in vehicle kilometers traveled, delivering sustainability and emissions benefits.
What I Do
Innovation Manager
I oversee innovative business processes, connecting people, technologies, and strategies to generate sustainable competitive value.
PhD in Big Data & Artificial Intelligence
I explore how to bring the Physical Internet paradigm to life, applying it in real-world logistics projects to create tangible impact.
Physical Internet
I study the Physical Internet to contribute my expertise to global logistics, enhancing the efficiency, sustainability, and connectivity of networks.
Digital Transformation Evangelist
I champion the digital transformation of SMEs, integrating emerging technologies to optimize business processes and reshape business models.
Impact of Digital Transformation on Small and Medium Enterprises
I support SMEs in adopting digital technologies, helping them improve efficiency, competitiveness, and sustainability in the global market.
Advanced Learning
I share digital skills and foster mindful use of artificial intelligence, promoting learning that is ethical, inclusive, and empowering for everyone.
Transforming logistics to be sustainable and efficient.
Imagine cities without empty trucks and warehouses that are always optimized. With the Physical Internet, transport and storage become intelligent, collaborative, and sustainable—driving global efficiency while reducing waste and emissions.
The Physical Internet inspires new skills: students and professionals learn to manage intelligent, sustainable, and connected logistics networks, turning education into a laboratory for global innovation.
In my latest article published on Affidaty, I explore the concept of Physical Internet applied to the supply chain—an emerging model that is gaining increasing attention in the logistics and industrial sectors for its transformative potential. In a context characterized by operational complexity, demand volatility, and environmental urgencies, the Physical Internet presents itself as a structural solution: a global logistics system based on interoperability, standardization, and resource sharing.
The model is inspired by Internet data transmission protocols but applies them to the physical movement of goods, introducing intelligent modular containers, interconnected hubs, and open operational protocols. This approach enables distributed and optimized management of logistics flows, delivering concrete benefits in terms of efficiency, sustainability, and resilience.
The article also examines the role of enabling technologies—particularly blockchain—in strengthening transparency, data security, and automation of operations across the entire supply chain. The goal is to provide a clear and up-to-date overview of how the Physical Internet can systemically address current supply chain challenges, overcoming the limitations of today’s still-fragmented models.
If you work in the logistics, industrial, or technology sector, this article offers strategic insights into the future of interconnected logistics and the opportunities it presents.
