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      <dc:title>The future of TV-shopping: predicting user purchase intention through an extended technology acceptance model</dc:title>
      <dc:creator>Rodríguez López, María Eugenia</dc:creator>
      <dc:creator>Higueras Castillo, Elena</dc:creator>
      <dc:creator>Rojas Lamorena, Álvaro José</dc:creator>
      <dc:creator>Alcántara Pilar, Juan Miguel</dc:creator>
      <dc:subject>Technology Acceptance Model (TAM)</dc:subject>
      <dc:subject>TV-shopping</dc:subject>
      <dc:subject>Enjoy shopping</dc:subject>
      <dc:description>This work was supported by Research Group ADEMAR (SEJ.241) of&#xd;
University of Granada, Spain. Funding for open access charge: Universidad de Granada / CBUA.</dc:description>
      <dc:description>The shoppable TV, which allows the purchase of products appearing in TV programmes directly, is a digital trend&#xd;
that is not implemented in most markets, but companies such as Amazon and NBC Universal have proposed the&#xd;
first sales systems. The aim of this research is to forecast the adoption intention of this technology by applying&#xd;
the Technology Acceptance Model. Structural equation modelling (PLS-SEM) has been applied to a sample of 283&#xd;
participants. The results indicate that shopping enjoyment is particularly important in generating attitudes toward this type of consumption, and this increases the intention to use Shoppable TV.</dc:description>
      <dc:date>2026-02-25T07:43:23Z</dc:date>
      <dc:date>2026-02-25T07:43:23Z</dc:date>
      <dc:date>2024-01</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Rodríguez-López, M. E., Higueras-Castillo, E., Rojas-Lamorena, Á. J., &amp; Alcántara-Pilar, J. M. (2024). The future of TV-shopping: predicting user purchase intention through an extended technology acceptance model. Technological forecasting and social change, 198, 122986. https://doi.org/10.1016/j.techfore.2023.122986</dc:identifier>
      <dc:identifier>1873-5509</dc:identifier>
      <dc:identifier>0040-1625</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/111481</dc:identifier>
      <dc:identifier>10.1016/j.techfore.2023.122986</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
      <dc:publisher>Elsevier</dc:publisher>
   </ow:Publication>
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