IDEAS home Printed from https://ideas.repec.org/f/par687.html
   My authors  Follow this author

Massimo Arnone

Not to be confused with: Massimo Arnone Arnone

Personal Details

First Name:Massimo
Middle Name:
Last Name:Arnone
Suffix:
RePEc Short-ID:par687
[This author has chosen not to make the email address public]

Research output

as
Jump to: Working papers

Working papers

  1. Leogrande, Angelo & Drago, Carlo & Arnone, Massimo, 2024. "Analyzing Regional Disparities in E-Commerce Adoption Among Italian SMEs: Integrating Machine Learning Clustering and Predictive Models with Econometric Analysis," MPRA Paper 122115, University Library of Munich, Germany.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (1) 2024-10-14. Author is listed

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Massimo Arnone should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.