Decision Support and Online Advertising: Development and Empirical Testing of a Data Landscape

  • Thomas Hansmann
  • , Florian Nottorf

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungBegutachtung

    Abstract

    The number of data sources available inside and outside companies and total data points increase, which makes the coordinated data selection in the forefront of decision making with respect to a specific economic goal becomes more and more relevant. To assess the available data and enhance decision support, we develop a framework including a process model that supports the identification of goal-oriented research questions and a data landscape that provides a structured overview of the available data inside and outside the company. We empirically tested the framework in the field of online advertising to enhance decision support in managing display advertising campaigns. The test reveals that the developed data landscape supports the identification and selection of decision-relevant data and that the subsequent analysis leads to economic valuable results.
    OriginalspracheEnglisch
    TitelICE-B 2014 : Proceedings of the 11th International Conference on e-Business, Vienna, Austria 28 - 30 August, 2014
    Redakteure/-innenMohammad S. Obaidat, Andreas Holzinger, Marten van Sinderen, Peter Dolog
    Seitenumfang12
    Herausgeber (Verlag)Science and Technology Publications, Lda (SciTePress)
    Erscheinungsdatum01.01.2014
    Seiten111-122
    ISBN (Print)978-1-4673-9242-6, 978-989-758-043-7
    ISBN (elektronisch)978-9-8985-6598-3
    DOIs
    PublikationsstatusErschienen - 01.01.2014
    Veranstaltung11th International Conference on e-Business - ICE-B 2014 - Wien, Österreich
    Dauer: 28.08.201430.08.2014
    Konferenznummer: 11
    http://www.ice-b.icete.org/?y=2014

    Bibliographische Notiz

    Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications

    Fachgebiete und Schlagwörter

    • Wirtschaftsinformatik

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