• Login
    View Item 
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • View Item
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Value of Smart Data for Supply Chain Decisions in a Data Rich, Uncertain World

    Thumbnail
    Date
    2019-03-29
    Author
    Vasileiou, Ismini;
    Sankaran, Ganesh;
    Knahl, Martin;
    Siestrup, Guido
    Metadata
    Show attachments and full item record
    Abstract
    Data-driven decisions are becoming increasingly relevant for supply chains as traditional paradigms are being replaced with concepts and approaches more suited for the advent of big data. However, the prevailing consensus is that companies are struggling to cope with an overabundance of data, which presents the following pertinent question: how to efficiently analyze data applying filters of relevance and insightfulness to make effective decisions? There is currently a lack of research focus on providing quantitative tools to do such analyses. This paper, besides offering thoughts on decision-making uncertainty in a digital sup- ply chain context, describes an approach to address the research gap. The ap- proach (which involves developing a quantitative model) is further elucidated by utilizing an example in the agricultural supply chain that illustrates how value of data can be quantified by measuring the performance impact of insights delivered using uncertainty reduction as the leverage.
    Description
    open access article
    Citation : Vasileiou, I., Sankaran, G., Knahl, M., Siestrup, G. (2019) Value of Smart Data for Supply Chain Decisions in a Data Rich, Uncertain World. In: Proceedings of the 5th Collaborative European Research Conference (CERC 2019), Darmstadt, Germany, March 29-30, 2019, CEUR-WS.org.
    URI
    http://ceur-ws.org/Vol-2348/short01.pdf
    https://dora.dmu.ac.uk/handle/2086/18719
    Collections
    • School of Computer Science and Informatics [2682]

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary
     

     

    Browse

    All of DORACommunities & CollectionsAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission DateThis CollectionAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission Date

    My Account

    Login

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary