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Big Data Analytics and Firm Performance: A Systematic Review

Maroufkhani, Parisa
Wagner, Ralf
Ismail, Wan Khairuzzaman Wan
Baroto, Mas Bambang
Nourani, Mohammad

The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies’ results. This study aims to provide a systematic review of contributions related to big data analytics and firm performance. The authors assess papers listed in the Web of Science index. This study identifies the factors that may influence the adoption of big data analytics in various parts of an organization and categorizes the diverse types of performance that big data analytics can address. Directions for future research are developed from the results. This systematic review proposes to create avenues for both conceptual and empirical research streams by emphasizing the importance of big data analytics in improving firm performance. In addition, this review offers both scholars and practitioners an increased understanding of the link between big data analytics and firm performance.

Sponsor
Gefördert durch den Publikationsfonds der Universität Kassel
Citation
In: Information Volume 10 / Issue 7 (2019-07-01) , S. 226; ISSN 2078-2489
Collections
@article{doi:10.17170/kobra-20190910680,
  author    ={Maroufkhani, Parisa and Wagner, Ralf and Ismail, Wan Khairuzzaman Wan and Baroto, Mas Bambang and Nourani, Mohammad},
  title    ={Big Data Analytics and Firm Performance: A Systematic Review},
  copyright  ={https://rightsstatements.org/page/InC/1.0/},
  language ={en},
  journal  ={Information},
  year   ={2019-07-01}
}