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,
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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.
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  • Publication Year: 2020
  • Pages: 59-89
  • Content License: CC BY 4.0
  • © 2020 Author(s)

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  • 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

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