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Web 2.0 Tools to Support Decision Making in Enterprise Contexts

  • Conference paper
Modeling Decisions for Artificial Intelligence (MDAI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8234))

Abstract

Nowadays Web 2.0 provides users a unique framework not only to find information but also to express their opinions and collaborate and interact in real time. Web 2.0 includes applications such as blogs, wikis, RSS, pod-casting, mashups, and social networks. These applications aggregate the collective intelligence of millions of users and therefore new tools to develop decision making processes adapted to the new virtual environments need to be developed. In this contribution we analyse how Web 2.0 tools are used to improve cooperation and social decision making in the enterprise context and what are the challenges that need to be accomplished to take fully advantage of them.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, C/ Periodista Daniel Saucedo Aranda s/n, 18071, Granada

    Raquel Ureña & Enrique Herrera-Viedma

Authors
  1. Raquel Ureña
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  2. Enrique Herrera-Viedma
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Editor information

Editors and Affiliations

  1. IIIA-CSIC, Campüus UAB s/n, 08193, Bellaterra, Catalonia, Spain

    Vicenç Torra

  2. Toho Gakuen, 3-1-10, Naka, 186-0004, Kunitachi, Tokyo, Japan

    Yasuo Narukawa

  3. Departament d’Enginyeria de la Informació i de les Comunicacions, Universitat Autonoma de Barcelona, 08193, Bellaterra, Catalonia, Spain

    Guillermo Navarro-Arribas

  4. Internet Interdisciplinary Institute (IN3); Estudis d’Informàtica, Multimèdia i Telecomunicació, Universitat Oberta de Catalunya, Rambla del Poblenou, 156, 08018, Barcelona, Catalonia, Spain

    David Megías

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© 2013 Springer-Verlag Berlin Heidelberg

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Ureña, R., Herrera-Viedma, E. (2013). Web 2.0 Tools to Support Decision Making in Enterprise Contexts. In: Torra, V., Narukawa, Y., Navarro-Arribas, G., Megías, D. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2013. Lecture Notes in Computer Science(), vol 8234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41550-0_8

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  • DOI: https://doi.org/10.1007/978-3-642-41550-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41549-4

  • Online ISBN: 978-3-642-41550-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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