Herramientas y métricas aplicadas al marketing editorial. Del big data a la inteligencia artificial

Authors

  • Antonia Salvador Benítez Universidad Complutense de Madrid
  • Juan Miguel Sánchez Vigil

DOI:

https://doi.org/10.54886/scire.v26i1.4682

Keywords:

Edition, Editorial marketing, Knowledge organization, Big data, Artificial Intelligence, Tekstum, Jellybooks, Bookmetrix

Abstract

The publishing sector is a paradigm in terms of marketing with a specific space in the organization chart of the companies, to which Edition, Production, Commercial, Communication and Rights are added. The function of marketing is transversal and interrelates with the rest of the elements of the book production chain (printed or digital). The tools and metrics applied to editorial marketing are studied in this article, taking as reference three models (Tekstum, Jellybooks and Bookmetrix), that from different approaches, and with big data and artificial intelligence supporting their activities, they have the common denominator of knowing reading habits through the analysis of information, in order to achieve a greater and better representation and organization of knowledge to attract and retain readers.

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Published

2020-06-17

How to Cite

Salvador Benítez, A., & Sánchez Vigil, J. M. (2020). Herramientas y métricas aplicadas al marketing editorial. Del big data a la inteligencia artificial. Scire: Knowledge Representation and Organization (ISSNe 2340-7042; ISSN 1135-3716), 26(1), 35–46. https://doi.org/10.54886/scire.v26i1.4682

Issue

Vol. 26 No. 1 (2020)

Section

Articles

License

Copyright (c) 2020 Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

© 1996- . Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.