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Conceptualizing Big Data: Analysis of Case Studies

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  • Ossi Ylijoki
  • Jari Porras

Abstract

Digitization and the related datafication produce huge amounts of data. Organizations have started to exploit these new data in order to gain benefits. Exploring this ‘big data jungle’ is a new area for both scholars and practitioners, and the experiences of early adopters are valuable. This paper analyses big data use cases described in the academic literature by using computerized content analysis methods. Based on the analysis results, we have conceptualized themes and guidelines of big data in the context of an organization, thus contributing to the emerging research of big data. In addition to the realized benefits, the case studies reveal issues regarding technology, skills, organizational culture and decision‐making processes. The paper also points out several new research avenues, acts as a reference collection to big data case studies found in academic sources, and bridges theory and practice by pointing out several topics that practitioners should consider. Copyright © 2016 John Wiley & Sons, Ltd.

Suggested Citation

  • Ossi Ylijoki & Jari Porras, 2016. "Conceptualizing Big Data: Analysis of Case Studies," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(4), pages 295-310, October.
    • Handle: RePEc:wly:isacfm:v:23:y:2016:i:4:p:295-310
    DOI: 10.1002/isaf.1393
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    References listed on IDEAS

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    Cited by:

    1. Lin, Canchu & Kunnathur, Anand, 2019. "Strategic orientations, developmental culture, and big data capability," Journal of Business Research, Elsevier, vol. 105(C), pages 49-60.
    2. Egidijus Jurkus & Ramūnas Povilanskas & Julius Taminskas, 2022. "Current Trends and Issues in Research on Biodiversity Conservation and Tourism Sustainability," Sustainability, MDPI, vol. 14(6), pages 1-14, March.

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