The Promise and Perils of Using Big Data in the Study of Corporate Networks: Problems, Diagnostics and Fixes

Eelke Heemskerk, Kevin Young, Frank W. Takes, Bruce Cronin, Javier Garcia-Bernardo, Lasse F. Henriksen, William Kindred Winecoff, Vladimir Popov, Audrey Laurin-Lamothe

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Network data on connections between corporate actors and entities – for instance through co-ownership ties or elite social networks – are increasingly available to researchers interested in probing the many important questions related to the study of modern capitalism. Given the analytical challenges associated with the nature of the subject matter, variable data quality and other problems associated with currently available data on this scale, we discuss the promise and perils of using big corporate network data (BCND). We propose a standard procedure for helping researchers deal with BCND problems. While acknowledging that different research questions require different approaches to data quality, we offer a schematic platform that researchers can follow to make informed and intelligent decisions about BCND issues and address these through a specific work-flow procedure. For each step in this procedure, we provide a set of best practices for how to identify, resolve and minimize the BCND problems that arise.
    Network data on connections between corporate actors and entities – for instance through co-ownership ties or elite social networks – are increasingly available to researchers interested in probing the many important questions related to the study of modern capitalism. Given the analytical challenges associated with the nature of the subject matter, variable data quality and other problems associated with currently available data on this scale, we discuss the promise and perils of using big corporate network data (BCND). We propose a standard procedure for helping researchers deal with BCND problems. While acknowledging that different research questions require different approaches to data quality, we offer a schematic platform that researchers can follow to make informed and intelligent decisions about BCND issues and address these through a specific work-flow procedure. For each step in this procedure, we provide a set of best practices for how to identify, resolve and minimize the BCND problems that arise.
    LanguageEnglish
    JournalGlobal Networks: A Journal of Transnational Affairs
    Volume18
    Issue number1
    Pages3-32
    Number of pages30
    ISSN1470-2266
    DOIs
    StatePublished - 2018

    Bibliographical note

    Published online: 4 December 2017

    Keywords

    • Big corporate network data
    • Big data
    • Corporate networks
    • Diagnostics
    • Network data quality

    Cite this

    Heemskerk, Eelke ; Young, Kevin ; Takes, Frank W. ; Cronin, Bruce ; Garcia-Bernardo, Javier ; Henriksen, Lasse F. ; Winecoff, William Kindred ; Popov, Vladimir ; Laurin-Lamothe, Audrey. / The Promise and Perils of Using Big Data in the Study of Corporate Networks : Problems, Diagnostics and Fixes. In: Global Networks: A Journal of Transnational Affairs. 2018 ; Vol. 18, No. 1. pp. 3-32
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    abstract = "Network data on connections between corporate actors and entities – for instance through co-ownership ties or elite social networks – are increasingly available to researchers interested in probing the many important questions related to the study of modern capitalism. Given the analytical challenges associated with the nature of the subject matter, variable data quality and other problems associated with currently available data on this scale, we discuss the promise and perils of using big corporate network data (BCND). We propose a standard procedure for helping researchers deal with BCND problems. While acknowledging that different research questions require different approaches to data quality, we offer a schematic platform that researchers can follow to make informed and intelligent decisions about BCND issues and address these through a specific work-flow procedure. For each step in this procedure, we provide a set of best practices for how to identify, resolve and minimize the BCND problems that arise.",
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    Heemskerk, E, Young, K, Takes, FW, Cronin, B, Garcia-Bernardo, J, Henriksen, LF, Winecoff, WK, Popov, V & Laurin-Lamothe, A 2018, 'The Promise and Perils of Using Big Data in the Study of Corporate Networks: Problems, Diagnostics and Fixes' Global Networks: A Journal of Transnational Affairs, vol. 18, no. 1, pp. 3-32. DOI: 10.1111/glob.12183

    The Promise and Perils of Using Big Data in the Study of Corporate Networks : Problems, Diagnostics and Fixes. / Heemskerk, Eelke; Young, Kevin; Takes, Frank W. ; Cronin, Bruce; Garcia-Bernardo, Javier; Henriksen, Lasse F.; Winecoff, William Kindred; Popov, Vladimir; Laurin-Lamothe, Audrey.

    In: Global Networks: A Journal of Transnational Affairs, Vol. 18, No. 1, 2018, p. 3-32.

    Research output: Contribution to journalJournal articleResearchpeer-review

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