About US

This project is led by the Università degli Studi di Padova and involves a consortium of esteemed partners: Università degli Studi di Brescia, Università degli Studi di Firenze, Politecnico di Bari, Alma Mater Studiorum – Università di Bologna, and Stazione Sperimentale per l’Industria delle Pelli e delle Materie Concianti S.R.L. This collaboration brings together diverse expertise to address the specific needs of sustainable development within the "Made in Italy" context.

Who We Are: "End to end procedures for strategic data-driven management and development of sustainable product-services that anticipate customer needs"

Our project, that falls under theMICS (Made in Italy Circolare e Sostenibile) initiative , is fundamentally dedicated to equipping organizations with the advanced methodologies and critical foresight required to master the strategic, data-driven management and development of sustainable product-services that proactively anticipate customer needs, with a distinct focus on the "Made in Italy" sector. The project directly confronts a prevalent market deficiency: the often-significant disconnect between strategic intent, the practical utilization of data, overarching sustainability goals, and the actual development of product-services that genuinely connect with the future needs of customers for "Made in Italy" goods. Many enterprises find it challenging to effectively integrate these complex, and frequently siloed, operational domains. This project provides a clear pathway to bridge these gaps, fostering a more cohesive and impactful innovation lifecycle tailored to the unique strengths and challenges of "Made in Italy."

Project Component

Luigi Salmaso, Full Professor - University of Padova - Project Leader
Paola Zuccolotto, Full Professor - University of Brescia
Anna Paola Codini, Associate Professor - University of Brescia
Laura Macchion, Associate Professor - University of Padova
Elisa Carloni, Researcher - University of Brescia
Marcos Dieste, Researcher - University of Padova
Najeebullah Arghistani, Post-doc researcher - University of Brescia
Nicolò Biasetton, Post-doc researcher - University of Padova
Riccardo Ricciardi, Post-doc researcher - University of Brescia
Matteo Ventura, Post-doc researcher - University of Brescia
Seyedeh Sara Naziri Alhashem, Software Engineer - University of Padova
Claudia Florio, STAZIONE SPERIMENTALE PER L'INDUSTRIA DELLE PELLI E DELLE MATERIE CONCIANTI SRL
Ami Licaj, University of Florence
Paria Bagheri Moghaddam, University of Florence
Michele Fiorentino, Polytechnic of Bari
Michele Zannoni, University of Bologna
Gustavo Marfia, University of Bologna
Valentina Gianfrate, University of Bologna

Journal Articles:

Arboretti, R., Barusco, M., Barzizza, E., Biasetton, N., Ceccato, R., Ferro, D., Salmaso, L., Vezzosi, G. (2024) An integrated framework for automated web scraping and sentiment analysis of product reviews. ,Journal of Machine Intelligence and Data Science (JMIDS), ISSN: 2564-3282.
Barzizza E., Biasetton N., Ceccato R., Salmaso L., (2023) “Big data analytics and machine learning in supply chain 4.0”. Stats, 6(2), 596-616 ISSN: 2571-905X.
Barzizza, E., Biasetton, N., & Ceccato, R. (2024). Multi‐aspect permutation tests for model selection. Expert Systems, 41(3), e13492.
Barzizza, E., Biasetton, N., Disegna, M., Molena, A., & Salmaso, L. (2024). An ensemble Machine Learning algorithm for Lead Time prediction. Journal of Machine Intelligence and Data Science (JMIDS), 5(1), 17-24. ISSN: 2564-3282.
Biasetton, N., D’Urso, P., Disegna, M., & Salmaso, L. (2024). Cub model-based clustering of Likert-type data with a tourist satisfaction application. Annals of Operations Research, 1-16.
Mengistu, A. T., Dieste, M., Panizzolo, R., & Biazzo, S. (2024). Sustainable product design factors: A comprehensive analysis. Journal of Cleaner Production, 142260, https://doi.org/10.1016/j.jclepro.2024.142260

Submitted papers:

Arghistani, N., Codini, A., Customer-based Sustainable Product Design: a Data-driven approach (Submitted to the Journal of Technology in Society)
Codini, A., Carloni, E., Bertoli, G., Arghistani, N., Does country of origin extend to sustainable products? The case of sustainable Made in Italy (Presented at the XXI Convegno Annuale della Società Italiana Marketing “Brands and Purpose in a changing era” Milan 17-18 October 2024)
Codini, A., Carloni, E., Bertoli, G., Arghistani, N., Exploring consumer perceptions of sustainable Made in Italy products: towards a theoretical framework (Submitted to the International Marketing Trends Conference VENICE 23-25 January 2025)
Ricciardi, R., Avanzi, C., Manisera, M., Are investors interested in sustainability? A Latent Semantic Analysis of data from social media
Ricciardi, R., Alberti, F., Manisera, M., Additive compositional methods group text documents
Barzizza E., Biasetton N., Caligiuri G., Pennisi D., Salmaso L., (2024) Advanced Large Language Models Tuning and Applications for Product Analysis in R&D: A Comprehensive Investigation

Attended conference:

JADT 2024 - 17th International Conference on Statistical Analysis of Textual, 25-27 Jun 2024 Bruxelles (Belgium). Paper: A language model to investigate the temporal transformation of semantics in the literature on Made in Italy. Riccardo Ricciardi, Nicolò Biasetton
R&D Management Conference: «Transforming Industries through Technology», 17-19 June 2024 Stockholm (Sweden). Paper: Customer-based Sustainable Product Design: a Data-driven approach. Najeeb Arghistani, Anna Codini
SAM24 - Fifth International Workshop on Statistical Analyses of Multi-Outcome Data, July 9-10, 2024 Salzburg (Austria). Paper: Advancing Consumer Understanding in Sustainable Product Development: exploring Novel Methodologies Integrating Aspect-Based Sentiment Analysis and NLP. Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato, Luigi Salmaso. Paper: A Framework for Automated Web Scraping and Sentiment Analysis of Product Reviews using ChatGPT. Manuel Barusco, Nicolò Biasetton, Elena Barzizza, Simone De Renzis, Riccardo Ceccato, Luigi Salmaso, Giacomo Vezzosi
SIS24 - The 52nd Scientific Meeting of the Italian Statistical Society, June 17-20 2024 Bari (Italy). Paper: ChatGPT and conversational AI in customer satisfaction: a preliminary literature review – Elena Barzizza, Nicolò Biasetton, Luigi Salmaso
SIM 2024 - XXI Scientific Meeting of the Italian Marketing Society, October 17-19 2024 Milano (Italy). Paper: Does country of origin extend to sustainable products? The case of sustainable Made in Italy. Anna Codini, Elisa Carloni, Giuseppe Bertoli, Najeeb Arghistani
International Marketing Trends Conference, January 23-25 2025 Venezia (Italy). Paper: Exploring consumer perceptions of sustainable Made in Italy products: towards a theoretical framework. Elisa Carloni, Anna Codini, Giuseppe Bertoli, Najeeb Arghistani