Using digital sources: the future of business history?

Adam Nix*, Stephanie Decker

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

13 Citations (Scopus)
213 Downloads (Pure)

Abstract

As historians start researching the late twentieth century, they are increasingly finding traces of the past created digitally. At the same time, use of computers to digitise analogue material means that many pre-digital sources have been reproduced digitally. As such, future historical research will increasingly include digital forms of evidence and computer-based research tools. This article explores how such resources might be used within business history, bridging the gap to digital history, and reflecting upon their methodological implications. We present a framework for distinguishing between sources, elaborating their differing digital characteristics and historical authenticity. We then draw on our own use of digital company records and media archives to outline two different ways digital sources can be interrogated by business historians. We argue that digital sources afford unique insights and new opportunities for historical knowledge production, but to access them, business historians will likely adapt aspects of their future practice.
Original languageEnglish
Number of pages25
JournalBusiness History
DOIs
Publication statusPublished - 22 Apr 2021

Bibliographical note

doi: 10.1080/00076791.2021.1909572

Research Groups and Themes

  • MGMT Strategy International Management and Business and Entrepreneurship
  • MGMT theme Innovation and Digitalisation
  • Digital Societies

Keywords

  • Digital history
  • digital humanities
  • digitisation
  • born-digital
  • reborn-digital

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  • EMCODIST: A Context-based Search Tool for Email Archives

    Kuppili Venkata, S., Decker, S., Kirsch, D. & Nix, A., 13 Jan 2022, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. Chen, Y., Ludwig, H., Tu, Y., Fayyad, U., Zhu, X., Hu, X. T., Byna, S., Liu, X., Zhang, J., Pan, S., Papalexakis, V., Wang, J., Cuzzocrea, A. & Ordonez, C. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 2281-2290 10 p. (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
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    2 Citations (Scopus)
    98 Downloads (Pure)

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