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Dottorandi e Tutor

Silvia Fareri

Foto di Silvia Fareri
Cognome:   Fareri
Nome:   Silvia
Email:   236578@studenti.unimore.it
Ciclo:   XXXIII
Settore disciplinare:   Innovazione, Industria 4.0, Informatica
Borsa di studio:  
Tutor:   Giovanni Solinas

Progetto di ricerca

 

The human side of digital revolution: text mining tools to face industry 4.0 phenomenon

The advent of Big Data and their progressive increase in volume and complexity has allowed the development of completely new scenarios for companies. Particularly, the techniques of management, analysis and conversion of raw data into “sexy” information are constantly evolving. At the same time, the increasingly widespread paradigm 4.0 discloses radical changes not only in technology but also in the structure and dynamics of work, changing skills and abilities required by manufacturing and services. Moreover, since Job roles and responsibilities are partially automated, Soft Skills are ever more recognized as essential for the workforce of the future and they should be carefully considered as well. In view of this, the purpose of the present work is to study the impact of Industry 4.0 through multiple Econometric and Text Mining Techniques, providing a tangible support in this transitional phase. Moreover, this thesis has the aim to satisfy the needs of three main stakeholders: HR management in recruitment, reskilling and upskilling, focusing both on Soft Skills and Hard Skills 4.0; Institutions to build customized learning paths and to update International recognized databases; Policy makers to foresight the heterogeneous effects of digitalization both on employees and local labor market systems. Keywords: Industry 4.0; Automation; Job Profiles; Soft Skills; Hard Skills 4.0; Data Mining; Algorithm; Tool; Text Mining; Cluster Analysis; Named Entity Recognition; Natural Language Processing; Human Resource Management; O*NET; ESCO; Re-Skilling; Up-Skilling; Recruitment; Assessment 4.0

Interessi di ricerca e pubblicazioni

Pubblicazioni

Gualtiero Fantoni, Filippo Chiarello, Silvia Fareri, Simona Pira, Alessandro Guadagni, 2017, Defining industry 4.0 professional archetypes: a data-driven approach, December 2017, Industry 4.0: Triggering Factors and Enabling Skills, Bergamo, Italy

Fareri S., Chiarello F., Coli E., Messori V., Dente G., Fantoni G. (2018). “Workers 4.0: skills, profiles and jobs in different business functions”, Scientific workshop on the 4th Industrial Revolution – Business model innovation, local ecosystems and global competition, 23-24 marzo 2018, Trento

Filippo Chiarello, Gualtiero Fantoni, Andrea Bonaccorsi, Silvia Fareri, "What Kind of Contributions Does Research Provide? Mapping Issue Based Statements in Research Abstracts", International Conference on Statistical Analysis of Textual Data JADT Conference (2018)

Gualtiero Fantoni, Filippo Chiarello, Silvia Fareri, Simona Pira and Alessandro Guadagni, 2018, Defining industry 4.0 professional archetypes: a data-driven approach 75-94, in Economy, Employment and Skills: European, Regional and Global Perspectives in an Age of Uncertainty, Editor Terence Hogarth, ISBN 9788895380452

Silvia Fareri, Filippo Chiarello, Elena Coli, Diego Teloni, Giancarlo Dente, Gualtiero Fantoni Workers 4.0: skills, profiles and jobs in different business functions 95-103, in Economy, Employment and Skills: European, Regional and Global Perspectives in an Age of Uncertainty, Editor Terence Hogarth, ISBN 9788895380452

Coli E., Fareri S., Fantoni G., Chiarello F., Petrini G. “Soft Skills of The Future: A Heterogeneous Approach Based on Data Mining Techniques”, Associazione Italiana Scienze REgionali, Bolzano 2018

 

Pubblicazioni in progress

Fareri S., Fantoni G., Chiarello F., Coli E., Binda A., 2020, Estimating Industry 4.0 Impact on Job Profiles and Skills Using Text Mining, (submitted to Computer in Industry, second review)

Fareri S., Melluso N., Chiarello F., Fantoni G., 2020, Mining and Mapping Soft Skills from Different Data Sources, (submitted to Computers in Human Behavior)