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Advertising in the Prime Time of the Ecuadorian Television

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Recent Advances in Information Systems and Technologies (WorldCIST 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 571))

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Abstract

In this research it is analyzed the existing advertising in the prime time of the Ecuadorian television. Through a quantitative methodology it is intended to measure the percentage and index that occupy the advertisements within the televise programming, using a monitoring form utilized in the prime time Ecuadorian programs of Ecuavisa, TC Television and Ecuador TV, from September 12 to 16 of the year 2016. It can be determined that advertising in the slot with bigger audience varies in the three television stations analyzed, in the same way it is modified between the days of the week, denoting that the transmission of advertising on channels responds to certain interests in the audience or specific objectives that it seeks to achieve.

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Author information

Authors and Affiliations

  1. Department of Communication, ECU-Digital Group, Universidad Técnica Particular de Loja, San Cayetano High s/n, Champagnat Street, 11-01-608, Loja, Ecuador

    Carlos Ortiz, Geovanna Salazar & Abel Suing

Authors
  1. Carlos Ortiz
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  2. Geovanna Salazar
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  3. Abel Suing
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Corresponding author

Correspondence to Carlos Ortiz .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Baixo Mondego, Portugal

    Álvaro Rocha

  2. Nova IMS, Universidade Nova de Lisboa, Lisboa, Portugal

    Ana Maria Correia

  3. College of Engineering, The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

  4. DSI/EEUM, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

  5. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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Ortiz, C., Salazar, G., Suing, A. (2017). Advertising in the Prime Time of the Ecuadorian Television. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 571. Springer, Cham. https://doi.org/10.1007/978-3-319-56541-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-56541-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56540-8

  • Online ISBN: 978-3-319-56541-5

  • eBook Packages: EngineeringEngineering (R0)

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