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Success Factors of Big Data to Achieve Organisational Performance: Theoretical Perspectives

Author

Listed:
  • Candice WALLS

    (Gordon Institute of Business Science, University of Pretoria, South Africa)

  • Brian BARNARD

    (Gordon Institute of Business Science, University of Pretoria, South Africa)

Abstract

Organisations have found an increase in the complexity of their information environments and emerging from this is the concept of “Big Data†, which is considered a breakthrough technological development in both business and academia. Hypothetically, superior big data analytics capability provide organisations with a competitive advantage and is therefore important to develop. This part of the study conducts a comprehensive literature review, with a focus on the success factors of big data from an organizational context: how and when big data analytics capabilities yield benefits and improve organisational performance. It concludes with the following research questions: 1. What is the general understanding of big data and its current situation? 2. What capabilities are required in order to be successful at translating big data insights into organisational performance? 3. What are the biggest challenges/ risks to converting big data insights into organisational performance?

Suggested Citation

  • Candice WALLS & Brian BARNARD, 2020. "Success Factors of Big Data to Achieve Organisational Performance: Theoretical Perspectives," Expert Journal of Business and Management, Sprint Investify, vol. 8(1), pages 1-16.
    • Handle: RePEc:exp:bsness:v:8:y:2020:i:1:p:1-16
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    References listed on IDEAS

    as
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    More about this item

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship

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