<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-28T15:23:23Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/100869" metadataPrefix="rdf">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/100869</identifier><datestamp>2025-02-08T01:14:29Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_21</setSpec></header><metadata><rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
   <ow:Publication rdf:about="oai:docta.ucm.es:20.500.14352/100869">
      <dc:title>Adoption of E-Commerce by Individuals and Digital-Divide</dc:title>
      <dc:creator>Valarezo Unda, Ángel Eduardo</dc:creator>
      <dc:creator>López Zorzano, Rafael Alberto</dc:creator>
      <dc:creator>Pérez Amaral, Teodosio</dc:creator>
      <dc:description>E-commerce penetration rates are distant among those groups of individuals with the lowest and the highest levels of online shopping adoption. This is an indicator of digital-divide, having negative effects in terms of untapped opportunities for people, companies, and the whole economy. Key socioeconomic and demographic determinants of adoption of e-commerce are explored, analyzing a dataset of 174,776 observations for the period 2008–2017 in Spain. The empirical analysis is based on a standard neoclassical utility maximization framework. Linear probability model, logistic regression, and Heckman’s sample selection correction model have been used. The results suggest that e-commerce adoption is positively related with being male, having higher levels of education, income and digital skills, being Spanish, and being employed; while being female, older, and belonging to a household of two or more members have negative effects. An interaction between digital skills and age has been introduced in the model, where high digital skills seem to have a positive influence, partly counteracting the lower odds for some age groups. Policy recommendations related to demand and supply measures are suggested to foster the adoption of e-commerce.</dc:description>
      <dc:date>2024-02-09T11:35:12Z</dc:date>
      <dc:date>2024-02-09T11:35:12Z</dc:date>
      <dc:date>2020</dc:date>
      <dc:type>book part</dc:type>
      <dc:identifier>Valarezo, Á., López, R., Pérez Amaral, T. (2020). Adoption of E-Commerce by Individuals and Digital-Divide. In: Alleman, J., Rappoport, P., Hamoudia, M. (eds) Applied Economics in the Digital Era. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-40601-1_4</dc:identifier>
      <dc:identifier>978-3-030-40600-4</dc:identifier>
      <dc:identifier>978-3-030-40601-1</dc:identifier>
      <dc:identifier>10.1007/978-3-030-40601-1_4</dc:identifier>
      <dc:identifier>https://hdl.handle.net/20.500.14352/100869</dc:identifier>
      <dc:identifier>https://doi.org/10.1007/978-3-030-40601-1_4</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:relation>PRODECON-CM HM S2015/HUM-3491</dc:relation>
      <dc:rights>restricted access</dc:rights>
      <dc:publisher>Palgrave Macmillan</dc:publisher>
   </ow:Publication>
</rdf:RDF></metadata></record></GetRecord></OAI-PMH>