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, 5. https://doi.org/10.11159/jmids.2024.006
Arghistani, N., Codini, A., Carloni, E. The Interplay of Provenance and Principle: How Sustainability and Entrepreneurial Values Reshape the 'Made in Italy' Effect
Barzizza, E., Biasetton, N., & Ceccato, R. (2024). Multi-aspect permutation tests for model selection. Expert Systems, 41(3). https://doi.org/10.1111/exsy.13492
Barzizza, E., Biasetton, N., Caligiuri, G., Pennisi, D., & Salmaso, L. (2025). Advanced Large Language Models Tuning and Applications for Product Analysis in R&D: A Comprehensive Investigation. Journal of Machine Intelligence and Data Science (JMIDS), 6(1), 34-38.
Barzizza, E., Biasetton, N., Ceccato, R. (2025). Advances in Cluster Analysis: a permutation approach to cluster validation. In Book of Short Papers – IES 2025 (pp. 496-502), ISBN: 978 88 5495 849 4.
Barzizza, E., Biasetton, N., Ceccato, R. (2025). Comparing Multiple Samples under Heteroscedasticity: a Multivariate Permutation Solution. In Book of Short Papers – IES 2025 (pp. 510-517), ISBN: 978 88 5495 849 4.
Barzizza, E., Biasetton, N., Ceccato, R., & Salmaso, L. (2023). Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review. Stats, 6(2), 596-616. https://doi.org/10.3390/stats6020038
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, 5. https://doi.org/10.11159/jmids.2024.003
Barzizza, E., Biasetton, N., Salmaso, L. (2025). ChatGPT and Conversational AI in Customer Satisfaction: A Preliminary Literature Review. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography III. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-64431-3_24
Barzizza, E., Ceccato, R., & Salmaso, L. (2025). A new multi-aspect procedure for ranking products by customer satisfaction. Quality & Quantity, 1-19.
Barzizza, E., Biasetton, N., Fanesi, A., Salmaso, L. (2025). Permutation-Based Inference for Functional Data in Process Optimization. ASA2025 Book of Short Papers.
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. https://doi.org/10.1007/s10479-024-05964-z
Biasetton, N., Dieste, M., Macchion, L., Salmaso, L. Evaluating Sustainability Reporting in the Leather Tanning Supply Chain: a NLP Approach. Accepted for ICASF2024.
Biasetton, N., Ricciardi, R., Arghistani, N. (2025). The VABSA framework: a Value- and Attribute-Based Sentiment Analysis of consumer perceptions. IES 2025 Book of Short Papers - Innovation & Society: Statistics and Data Science for Evaluation and Quality.
Biasetton, N., Ricciardi, R., Salmaso, L., Zuccolotto, P. (2026). How well do ratings reflect sentiment? Evidence from a large Italian review corpus. Applied Stochastic Models to Business and Industry.
Biasetton, N., Dieste, M., Fanesi, A., Ledro, C., Mengitsu, A., Nosella, A., Pietrobon, M., Salmaso, L., Selek, M., Villanova, S. (2025). Analysis of Visual Cues and Consumer Preferences Using Eye-Tracking. ASA2025 Book of Short Papers.
Biasetton, N., Salmaso, L., Selek, M. (2025). Human-Centered Multi-Label Annotation for Made-in-Italy Product Reviews: Evaluating Prompting Strategies with Multilingual LLMs. ASA 2025 Book of Short Papers.
Carloni, E., Arghistani, N., Ceruti, F., Codini, A. Consumer Perceptions of Sustainable Made in Italy: the Role of Ethnocentrism, Familiarity, and Ethical Beliefs.
Carloni, E., Codini, A., Bertoli, G., & Arghistani, N. Exploring consumers’ perceptions of sustainable Made in Italy products: towards a theoretical framework. International Marketing Trends Conference 2025. ISBN: 978-2-490372-20-1. Available at: https://archives.marketing-trends-congress.com/2025/pages/PDF/076.pdf
Ceccato, R., Barzizza, E., Biasetton, N., Disegna, M. (2025). A Multi-Aspect Permutation Test for Selecting the Optimum Number of Clusters. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography III. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-64431-3_65
Mengistu, A. T., Dieste, M., Panizzolo, R., & Biazzo, S. (2024). Sustainable product design factors: A comprehensive analysis. Journal of Cleaner Production, 463. https://doi.org/10.1016/j.jclepro.2024.142260
Ricciardi, R., Biasetton, N. (2024). A language model to investigate the temporal transformation of semantics in the literature on Made in Italy. Short paper accepted for JADT 2024 - 17es Journées internationales d'Analyse statistique des Données Textuelles.
Ricciardi, R., Biasetton, N. Multi-label text classification for identifying consumer values and attributes in Made-in-Italy product reviews. Accepted for ICASF2024.
Ventura, M., Jacques, J., & Zuccolotto, P. (2025). Model-Based Clustering of Multivariate Rating Data Accounting for Feeling and Uncertainty. Journal of Classification, 1-22.
Ventura, M., Jacques, J., & Zuccolotto, P. (2025). Model-Based Clustering of Multivariate Rating Data to Evaluate Consumer Perceptions on Sustainability [Short paper]. In G. Boccuzzo, E. Bovo, M. Manisera, & L. Salmaso (Eds.), IES 2025 - Statistical Methods for Evaluation and Quality (pp. 983-989). Cleup sc. ISBN: 9788854958494.

Submitted papers:

Arghistani, N., & Codini, A. Customer-based Sustainable Product Design: a Data-driven approach.
Arghistani, N., & Codini, A. Transforming Consumer Sustainability Perceptions into Strategic Product Development Decisions.
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.
Carloni, E., Codini, A., Bertoli, G., Arghistani, N., & Ventura, M. Do Country-of-Origin and sustainability match? An investigation of Made in Italy consumers.
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.
Ventura, M., Jacques, J., & Zuccolotto, P. Multivariate Latent Class Modeling of Rating Data for Investigating the Sustainability Perception and the Economic Behavior in the Made in Italy Sector.
Ventura, M., Macis, A., Manisera, M., Zuccolotto, P. Measuring synesthetic experience of museum visitors using multi-point semantic differential scales.
Biasetton, N., Ricciardi, R., Salmaso, L., Zuccolotto, P. (2025). Self-similarity trajectories in bootstrapped temporal word embeddings: a diachronic analysis of sustainability in Made in Italy literature. Statistical Papers.
Biasetton, N., Salmaso, L., Selek, M. (2025). Cognitively-Aligned Retrieval and Programmatic Prompting for High-Fidelity Multi-Label Annotation in Culturally-Specific Domains. Artificial Intelligence.

Attended conference:

ICASF 2024 - 2nd International Conference on Advancing Sustainable Futures, Workshop, Paper Presentation, Abu Dhabi, UAE, 11-12 December 2024
JADT 2024 - 17th International Conference on Statistical Analysis of Textual, 25-27 June 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, 9-10 July 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, 17-20 June 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, 17-19 October 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
6th International Conference on Statistics: Theory and Applications (ICSTA 2024), Paper presentation, Barcelona, Spain, 19-21 August 2024
International Marketing Trends Conference 2025, Venice, January 2025. Paper: Exploring consumers’ perceptions of sustainable Made in Italy products: towards a theoretical framework. Elisa Carloni, Anna Codini, Giuseppe Bertoli, Najeeb Arghistani
R&D Management Conference, Innovation & Biodiversity, Pisa, June 2025
Sinergie-SIMA Management Conference 2025, Genova, June 2025
SIM (Società Italiana Marketing) Conference 2025, Napoli, September 2025
IES 2025 - Innovation & Society: Statistics and Data Science for Evaluation and Quality, University of Padova, Bressanone-Brixen, Italy, June 25-27, 2025
ASA Conference 2025 UniRSM - Data, Statistics and AI for the Well-Being of People and Organizations, San Marino, 17-19 September 2025
IMTC 2026 International Marketing Trends Conference, Berlin, January 2026
Early-Career Workshop on Nonparametric Statistics
Workshop Data Science 4 Health and Biology
5th International Conference On Future Preventive Medicine And Public Health
StaTalk 2025