Sergio Venturini

Affiliate Professor
AreaEconomics, Politics and Decision Sciences
Research domainsBusiness Data Analytics
Teaching domainsBig & Small Data, Descriptive Analytics, Predictive Analytics, Time Series Analysis, Financial Modelling
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Sergio Venturini

Biography

Sergio Venturini is an Affiliate Professor in the Knowledge Group of Decision Sciences & Business Analytics at SDA Bocconi School of Management. At SDA, he was a member of the Claudio Demattè Research Division Committee from 2006 to 2008. At present, he is a faculty member of the following programs: Master in Business Administration (MBA), Master in Corporate Finance (MCF), Master of International Healthcare Management Economics and Policy (MIHMEP), Master in Public Management (MPM).

He has been a Lecturer at the Department of Decision Sciences at Università Bocconi.

His research activities focus on business analytics, statistical methods for quality assurance and public health data analysis.

He is the author of numerous books and articles on his topics of interest. His works have been published in Annals of Applied Statistics, Cancer Biology & Therapy, Clinical Drug Investigation and Breast Cancer Research and Treatment, among others.

He has conducted research and education projects with major enterprises operating in the food industry.

He was a Visiting Scholar at Harvard School of Public Health and Johns Hopkins Bloomberg School of Public Health.

Sergio earned a degree in Financial Markets and Institutions and a Ph.D. in Statistics both from Università Bocconi.

Recent Publications

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  • 2024
    Do automation and AI impact on job reduction? A study on perceived risk of losing job among white-collars in the Italian manufacturing companies
    CHIARINI, A., A. GRANDO, S. VENTURINI, E. BORGONOVO, "Do automation and AI impact on job reduction? A study on perceived risk of losing job among white-collars in the Italian manufacturing companies", Production Planning & Control, 2024, vol. 35, no. 16, pp. 2198-2211
  • 2024
    Decision Science with Excel: Business Applications
    TAVA, L. V., M. POLI, S. VENTURINI - "Decision Science with Excel: Business Applications" - 2024, Egea, Milano, Italy
  • 2024
    Principles of Business Analytics
    BORGONOVO, E., D. FEIN, E. POLI, S. VENTURINI - "Principles of Business Analytics" - 2024, Bocconi University Press - BUP, Milano, Italy
  • 2023
    Subpopulation Treatment Effect Pattern Plot (STEPP) Methods with R and Stata
    VENTURINI, S., M. BONETTI, A. A. LAZAR, B. F. COLE, X. WANG, R. D. GELBER, W.-K. YIP, "Subpopulation Treatment Effect Pattern Plot (STEPP) Methods with R and Stata", Journal of Data Science, 2023, vol. 21, no. 1, pp. 106-.126
  • 2023
    Software Packages forPartial Least Squares Structural Equation Modeling: An Updated Review
    VENTURINI, S., M. MEHMETOGLU, H. LATAN, "Software Packages forPartial Least Squares Structural Equation Modeling: An Updated Review" in Partial Least Squares Path Modeling., Hengky Latan, Joseph F. Hair,, Richard Noonan (Eds.), Springer International Publishing, pp. 113-152, 2023
  • 2022
    Multiple Bayesian network meta-analyses to establish therapeutic algorithms for metastatic triple negative breast cancer
    SCHETTINI, F., S. VENTURINI, M. GIULIANO, M. LAMBERTINI, D. J. PINATO, C. E. ONESTI, P. DE PLACIDO, N. HARBECK, D. LÜFTNER, H. DENYS, P. VAN DAM, G. ARPINO, K. ZAMAN, G. MUSTACCHI, J. GLIGOROV, A. AWADA, M. CAMPONE, H. WILDIERS, A. GENNARI, V. TJAN-HEIJNEN, R. BARTSCH, J. CORTES, I. PARIS, M. MARTÍN, S. DE PLACIDO, L. DEL MASTRO, G. JERUSALEM, G. CURIGLIANO, A. PRAT, D. GENERALI, "Multiple Bayesian network meta-analyses to establish therapeutic algorithms for metastatic triple negative breast cancer", Cancer Treatment Reviews, 2022, vol. 111, pp. 102468
  • 2021
    Structural Equation Modelling with Partial Least Squares Using Stata and R
    MEHMETOGLU, M., S. VENTURINI - "Structural Equation Modelling with Partial Least Squares Using Stata and R" - 2021, CRC Press – Taylor & Francis Group, Boca Raton, FL, United States of America
  • 2021
    A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The Package in
    VENTURINI, S., R. PICCARRETA, "A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The Package in", Journal of Statistical Software, 2021, vol. 100, no. 16, pp. 1-35
  • 2021
    Endocrine-Based Treatments in Clinically-Relevant Subgroups of Hormone Receptor-Positive/HER2-Negative Metastatic Breast Cancer: Systematic Review and Meta-Analysis
    SCHETTINI, F., M. GIULIANO, F. GIUDICI, B. CONTE, P. DE PLACIDO, S. VENTURINI, C. ROGNONI, A. DI LEO, M. LOCCI, G. JERUSALEM, L. DEL MASTRO, F. PUGLISI, P. CONTE, M. DE LAURENTIIS, L. PUSZTAI, M. F. RIMAWI, R. SCHIFF, G. ARPINO, S. DE PLACIDO, A. PRAT, D. GENERALI, "Endocrine-Based Treatments in Clinically-Relevant Subgroups of Hormone Receptor-Positive/HER2-Negative Metastatic Breast Cancer: Systematic Review and Meta-Analysis", Cancers, 2021, vol. 13, no. 6, pp. 1458
  • 2021
    Seroconversion in patients with cancer and oncology health care workers infected by SARS-CoV-2
    MARRA, A., D. GENERALI, P. ZAGAMI, V. CERVONI, S. GANDINI, S. VENTURINI, S. MORGANTI, R. PASSERINI, R. ORECCHIA, G. CURIGLIANO, "Seroconversion in patients with cancer and oncology health care workers infected by SARS-CoV-2", Annals of Oncology, 2021, vol. 32, no. 1, pp. 113-119

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Grants & Honors

  • Best Teaching Award - Undergraduate School, Università Commerciale Luigi Bocconi, 2019