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Big Data Analytics As A Strategic Capability: A Systematic Review

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  • Mihai BOGDAN
  • Anca BORZA

Abstract

Big data analytics gained the attention of both practitioners and researches. In terms of trends, it appears to be the next big thing, together with automation, machine learning and artificial intelligence. However, compared to the others, big data analytics, threatens to jeopardize the way managers themselves work. This is because they are the expected users of data in the decisional-making process. This means that, on one side, they have to be sponsors of the big data analytics change, and on the other side, they have to lead by example by entrusting their decisions on insights generated by data. The purpose of our study is to run a systematic review of the articles published on topic of big data analytics and organizational performance in the field of strategic management. As a methodology, we searched the articles indexed on ISI Web of Knowledge during period January 2005 - July 2019. Our first selection included 377 articles, which we further filtered based on our inclusion criteria: (1) field of strategic management; (2) empirical study; (3) based on a framework from management (4) relationship between big data analytics firm performance. The findings suggest that firms need to develop a big data analytics capability, which will have a positive impact upon financial performance, competitive advantage and operational performance which are the most used constructs within the analyzed articles.

Suggested Citation

  • Mihai BOGDAN & Anca BORZA, 2019. "Big Data Analytics As A Strategic Capability: A Systematic Review," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 575-583, November.
    • Handle: RePEc:rom:mancon:v:13:y:2019:i:1:p:575-583
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    References listed on IDEAS

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    1. Muhammad Anwar & Sher Zaman Khan & Syed Zulfiqar Ali Shah, 2018. "Big Data Capabilities and Firm’s Performance: A Mediating Role of Competitive Advantage," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-28, December.
    2. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
    3. 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.
    4. Yu, Wantao & Chavez, Roberto & Jacobs, Mark A. & Feng, Mengying, 2018. "Data-driven supply chain capabilities and performance: A resource-based view," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 371-385.
    5. Elisabetta Raguseo & Claudio Vitari, 2018. "Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects," International Journal of Production Research, Taylor & Francis Journals, vol. 56(15), pages 5206-5221, August.
    6. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    7. Thomas Niebel & Fabienne Rasel & Steffen Viete, 2019. "BIG data – BIG gains? Understanding the link between big data analytics and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(3), pages 296-316, April.
    8. Côrte-Real, Nadine & Ruivo, Pedro & Oliveira, Tiago & Popovič, Aleš, 2019. "Unlocking the drivers of big data analytics value in firms," Journal of Business Research, Elsevier, vol. 97(C), pages 160-173.
    9. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
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