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Assessing business value of Big Data Analytics in European firms


  • Côrte-Real, Nadine
  • Oliveira, Tiago
  • Ruivo, Pedro


In the strategic management field, dynamic capabilities (DC) such as organizational agility are considered to be paramount in the search for competitive advantage. Recent research claims that IT business value research needs a more dynamic perspective. In particular, the Big Data Analytics (BDA) value chain remains unexplored. To assess BDA value, a conceptual model is proposed based on a knowledge-based view and DC theories. To empirically test this model, the study addresses a survey to a wide range of 500 European firms and their IT and business executives. Results show that BDA can provide business value to several stages of the value chain. BDA can create organizational agility through knowledge management and its impact on process and competitive advantage. Also, this paper demonstrates that agility can partially mediate the effect between knowledge assets and performance (process level and competitive advantage). The model explains 77.8% of the variation in competitive advantage. The current paper also presents theoretical and practical implications of this study, and the study's limitations.

Suggested Citation

  • Côrte-Real, Nadine & Oliveira, Tiago & Ruivo, Pedro, 2017. "Assessing business value of Big Data Analytics in European firms," Journal of Business Research, Elsevier, vol. 70(C), pages 379-390.
  • Handle: RePEc:eee:jbrese:v:70:y:2017:i:c:p:379-390
    DOI: 10.1016/j.jbusres.2016.08.011

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    References listed on IDEAS

    1. Robert M. Grant, 1996. "Prospering in Dynamically-Competitive Environments: Organizational Capability as Knowledge Integration," Organization Science, INFORMS, vol. 7(4), pages 375-387, August.
    2. Xu, Zhenning & Frankwick, Gary L. & Ramirez, Edward, 2016. "Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective," Journal of Business Research, Elsevier, vol. 69(5), pages 1562-1566.
    3. Cepeda, Gabriel & Vera, Dusya, 2007. "Dynamic capabilities and operational capabilities: A knowledge management perspective," Journal of Business Research, Elsevier, vol. 60(5), pages 426-437, May.
    4. Margaret A. Peteraf & Jay B. Barney, 2003. "Unraveling the resource-based tangle," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 309-323.
    5. repec:eee:touman:v:40:y:2014:i:c:p:224-232 is not listed on IDEAS
    6. repec:eee:ijoais:v:15:y:2014:i:2:p:166-184 is not listed on IDEAS
    7. Henk W. Volberda, 1996. "Toward the Flexible Form: How to Remain Vital in Hypercompetitive Environments," Organization Science, INFORMS, vol. 7(4), pages 359-374, August.
    8. Erevelles, Sunil & Fukawa, Nobuyuki & Swayne, Linda, 2016. "Big Data consumer analytics and the transformation of marketing," Journal of Business Research, Elsevier, vol. 69(2), pages 897-904.
    9. Maurizio Zollo & Sidney G. Winter, 2002. "Deliberate Learning and the Evolution of Dynamic Capabilities," Organization Science, INFORMS, vol. 13(3), pages 339-351, June.
    10. Aimilia Protogerou & Yannis Caloghirou & Spyros Lioukas, 2012. "Dynamic capabilities and their indirect impact on firm performance," Industrial and Corporate Change, Oxford University Press, vol. 21(3), pages 615-647, June.
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    1. repec:mje:mjejnl:v:14:y:2018:i:2:p:115-129 is not listed on IDEAS
    2. repec:eee:proeco:v:191:y:2017:i:c:p:97-112 is not listed on IDEAS


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