Abstract

The application of web marketing and definition of corporate strategies has become common practice in all companies, together with the use of mathematical models as a tool for planning and studying the dynamics of communication within the market. In our paper we apply an unsupervised artificial neural network for the classification of a series of olive farms to try to determine which features are most rewarding from the point of view of the communication strategies and market (including the identification of new situations and decision making). The objective is to identify and group companies that have similar characteristics through a set of common indicators and create a rating for defining which companies are the best performing and how companies in the sector are related. This work is made possible by the use of a computer software designed specifically for the olive oil sector, which examines many aspects of business life and also implements the platform through which businesses can talk to each other and the market.

Autore Pugliese

• Gallo Crescenzio

Tutti gli autori

• Crescenzio Gallo , Francesco Contò , Piermichele La Sala , Anna Paola Antonazzo

Titolo volume/Rivista

PROCEDIA TECHNOLOGY

Anno di pubblicazione

2013

ISSN

2212-0173

ISBN

Non Disponibile

Numero di citazioni Wos

3

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

Non Disponibile

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile