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Exploring the Value of Data – A Research Agenda

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Exploring Service Science (IESS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 331))

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Abstract

Big data has been a technological quantum leap in recent years. Organizations are provided the opportunity to leverage this data by applying analytics to derive competitive advantages and increase operational efficiencies. However, the amount of value that is hidden within a set of data can often only be determined when used in a particular context. Being able to determine the value of their data assets as such is an even greater challenge for organizations. We conducted a structured literature review and identified three clusters of discussion in IS literature that address the value of data form different perspectives. Based on this review and the literature gap identified, we propose a research agenda to (1) identify the factors that influence the value of data, (2) cluster data according to value, (3) develop value-based data governance guidelines, and (4) quantify the value contribution of a single data source.

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Author information

Authors and Affiliations

  1. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Tobias Enders

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  1. Tobias Enders
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Correspondence to Tobias Enders .

Editor information

Editors and Affiliations

  1. Karlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology, Karlsruhe, Germany

    Gerhard Satzger

  2. INESC TEC, Universidade do Porto, Porto, Portugal

    Lia Patrício

  3. Institute for Manufacturing, University of Cambridge, Cambridge, UK

    Mohamed Zaki

  4. Karlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology, Karlsruhe, Germany

    Niklas Kühl

  5. Karlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology, Karlsruhe, Germany

    Peter Hottum

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Enders, T. (2018). Exploring the Value of Data – A Research Agenda. In: Satzger, G., Patrício, L., Zaki, M., Kühl, N., Hottum, P. (eds) Exploring Service Science. IESS 2018. Lecture Notes in Business Information Processing, vol 331. Springer, Cham. https://doi.org/10.1007/978-3-030-00713-3_21

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  • DOI: https://doi.org/10.1007/978-3-030-00713-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00712-6

  • Online ISBN: 978-3-030-00713-3

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