TY - JOUR
T1 - Policy making for broadband adoption and usage in Chile through machine learning
AU - Ruz, Gonzalo A.
AU - Varas, Samuel
AU - Villena, Marcelo
PY - 2013
Y1 - 2013
N2 - For developing countries, such as Chile, we study the influential factors for adoption and usage of broadband services. In particular, subsidies on the broadband price are analyzed to see if this initiative has a significant effect in the broadband penetration. To carry out this study, machine learning techniques are used to identify different household profiles using the data obtained from a survey on access, use, and users of broadband Internet from Chile. Different policies are proposed for each group found, which were then evaluated empirically through Bayesian networks. Results show that an unconditional subsidy for the Internet price does not seem to be very appropriate for everyone since it is only significant for some households groups. The evaluation using Bayesian networks showed that other polices should be considered as well such as the incorporation of computers, Internet applications development, and digital literacy training.
AB - For developing countries, such as Chile, we study the influential factors for adoption and usage of broadband services. In particular, subsidies on the broadband price are analyzed to see if this initiative has a significant effect in the broadband penetration. To carry out this study, machine learning techniques are used to identify different household profiles using the data obtained from a survey on access, use, and users of broadband Internet from Chile. Different policies are proposed for each group found, which were then evaluated empirically through Bayesian networks. Results show that an unconditional subsidy for the Internet price does not seem to be very appropriate for everyone since it is only significant for some households groups. The evaluation using Bayesian networks showed that other polices should be considered as well such as the incorporation of computers, Internet applications development, and digital literacy training.
KW - Bayesian networks
KW - Broadband penetration
KW - Clustering analysis
KW - Policy making
UR - http://www.scopus.com/inward/record.url?scp=84880397111&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2013.06.039
DO - 10.1016/j.eswa.2013.06.039
M3 - Article
AN - SCOPUS:84880397111
SN - 0957-4174
VL - 40
SP - 6728
EP - 6734
JO - Expert Systems with Applications
JF - Expert Systems with Applications
IS - 17
ER -