Book Chapter

L’approccio metodologico

  • Luigi Mastronardi
  • Gianluca Monturano
  • Luca Romagnoli
  • Mara Vasile
  • Mariella Zingaro

This contribution presents a methodological path tailored to highlight and manage the generating processes of Community-based cooperatives in Italian inner areas. Some quantitative techniques are involved, in particular multivariate statistical techniques, together with text analysis, in order to process the outcomes of a direct survey based on open responses. Moreover, a study of scenario, based on balance sheet data, is proposed, to verify the potential profitability of a new cooperative.

  • Keywords:
  • Principal component analysis,
  • cluster analysis,
  • Sentiment analysis,
  • profitability analysis,
+ Show More

Luigi Mastronardi

University of Molise, Italy - ORCID: 0000-0001-6012-2964

Gianluca Monturano

University of Molise, Italy

Luca Romagnoli

University of Molise, Italy - ORCID: 0000-0003-3243-1561

Mara Vasile

University of Molise, Italy

Mariella Zingaro

University of Molise, Italy

  1. Aluisio S., Specia L., Gasperin C. e Scarton C. 2010, Readability Assessment for Text Simplification, Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications: 1-9.
  2. Barbera F., Dagnes J., Salento A. e Spina F. (a cura di) 2016, Il capitale quotidiano. Un manifesto per l’economia fondamentale, Donzelli, Roma.
  3. Boumans J.W. e Trilling D. 2016, Taking stock of the toolkit: An overview of relevant automated content analysis approaches and techniques for digital journalism scholars, «Digital Journalism», 4(1): 8–23.
  4. Corrao S. 2005, L’intervista nella ricerca sociale, «Quaderni di Sociologia», 38: 147-171.
  5. Di Ciaccio A. e Borra S. 2014, Statistica. Metodologie per le scienze economiche e sociali, McGraw-Hill, Milano.
  6. Drisko J. W. e Maschi T. 2016, Content Analysis, Oxford University Press, Oxford.
  7. Fabbris L. 2011, Statistica multivariata, McGraw-Hill Education Italy, Milano (POD).
  8. Grimmer J. e Stewart B. 2013, Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts, «Political Analysis», 21(3): 267-297.
  9. Holsti O. 1969, Content Analysis for the Social Sciences and Humanities, Addison Wesley, Reading.
  10. Johnson F. e Gupta S.K. 2012, Web Content Mining Techniques: A Survey, «International Journal of Computer Applications», 47, 11: 44-50.
  11. Kaufman L. e Rousseeuw, P.J. 2005, Finding Groups in Data. An Introduction to Cluster Analysis, John Wiley & Sons Inc., Hoboken, NJ.
  12. Krippendorff K. 2013, Content Analysis. An Introduction to Its Methodology, SAGE Publications, Los Angeles.
  13. Lanzt B. 2015, Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, Packt Publishing, Birmingham.
  14. Liu B. 2010, Sentiment Analysis and Subjectivity, in Indurkhya N. e Damerau F.J. (eds.), Handbook of Natural Language Processing, CRC Press, Boca Raton: 627-666.
  15. Mayring P. 2000, Qualitative Content Analysis, Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 1(2), <http://nbn-resolving.de/urn:nbn:de:0114-fqs0002204>.
  16. Munzert S., Rubba C., Meibner P. e Nyhuis D. 2015, Automated Data Collection with R. A practical guide to web scraping and text mining, Wiley, United Kingdom.
  17. Swanson D. R. 1986, Undiscovered public knowledge, «Library Quarterly», 56(2): 103-118.
  18. Taboada M., Brooke J., Tofoloski M., Voll K. e Stede M. 2011, Lexicon-Based Methods for Sentiment Analysis, «Computational Linguistics», 37, 2: 267-307.
  19. Welbers K., Van Atteveldt W. e Benoit K. 2017, Text Analysis in R, «Communication methods and measures», 11, 4: 245-256.
  20. Zani S. e Cerioli A. 2007, Analisi dei dati e data mining per le decisioni aziendali, Giuffrè, Milano.
PDF
  • Publication Year: 2020
  • Pages: 59-89
  • Content License: CC BY 4.0
  • © 2020 Author(s)

XML
  • Publication Year: 2020
  • Content License: CC BY 4.0
  • © 2020 Author(s)

Chapter Information

Chapter Title

L’approccio metodologico

Authors

Luigi Mastronardi, Gianluca Monturano, Luca Romagnoli, Mara Vasile, Mariella Zingaro

Language

Italian

DOI

10.36253/978-88-5518-168-6.03

Peer Reviewed

Publication Year

2020

Copyright Information

© 2020 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

Metodologie, percorsi operativi e strumenti per lo sviluppo delle cooperative di comunità nelle aree interne italiane

Editors

Luigi Mastronardi, Luca Romagnoli

Peer Reviewed

Number of Pages

174

Publication Year

2020

Copyright Information

© 2020 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/978-88-5518-168-6

ISBN Print

978-88-5518-167-9

eISBN (pdf)

978-88-5518-168-6

Series Title

Studi e saggi

Series ISSN

2704-6478

Series E-ISSN

2704-5919

391

Fulltext
downloads

578

Views

Export Citation

1,331

Open Access Books

in the Catalogue

2,094

Book Chapters

3,709,757

Fulltext
downloads

4,300

Authors

from 904 Research Institutions

of 65 Nations

65

scientific boards

from 347 Research Institutions

of 43 Nations

1,246

Referees

from 379 Research Institutions

of 38 Nations