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Conceptualizing big data practices

Author

Listed:
  • Canchu Lin
  • Anand S. Kunnathur
  • Long Li

Abstract

Purpose - The purpose of this paper is to provide a conceptual understanding of Big Data practices in organizations, which will enable exploring the operational and strategic roles of Big Data in organizational performance. Design/methodology/approach - Both academic and non-academic literature studies on Big Data were reviewed so as to capture what was known about Big Data practices. Qualitative interviews were conducted with firm executives about Big Data practices in their organizations. Both literature review and interview results were analyzed based on the dynamic capabilities perspective. Findings - The analysis of the results suggests that Big Data capability develops when the resources parts of Big Data and the skill and competency parts are integrated and then grow into a dynamic capability. Research limitations/implications - This study contributes to the literature with the concept of Big Data capability that best characterizes Big Data practices in organizations. Validity of this concept should be tested in empirical studies. Originality/value - The development of the concept of Big Data capability helps to fill a gap in the research literature that theoretical understanding of big data practices is lacking or needs to be updated. It motivates practitioners to develop this capability so as to create and maintain their strategic advantage.

Suggested Citation

  • Canchu Lin & Anand S. Kunnathur & Long Li, 2020. "Conceptualizing big data practices," International Journal of Accounting & Information Management, Emerald Group Publishing Limited, vol. 28(2), pages 205-222, February.
    • Handle: RePEc:eme:ijaimp:ijaim-12-2018-0154
    DOI: 10.1108/IJAIM-12-2018-0154
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    Cited by:

    1. Sharina Tajul Urus & Intan Waheedah Othman & Zarinah Abdul Rasit & Noraizah Abu Bakar & Sharifah Nazatul Faiza Syed Mustapha Nazri, 2023. "Beyond the Hype of Big Data Analytics Deployment: Conceptualization and Challenges Epistemology," Business and Economic Research, Macrothink Institute, vol. 13(2), pages 74-111, December.

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