Date
2019-07-01Author
Maroufkhani, ParisaWagner, RalfIsmail, Wan Khairuzzaman WanBaroto, Mas BambangNourani, MohammadSubject
330 EconomicsMetadata
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Aufsatz
Big Data Analytics and Firm Performance: A Systematic Review
Abstract
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.
Citation
In: Information Volume 10 / Issue 7 (2019-07-01) , S. 226 ; ISSN 2078-2489Sponsorship
Gefördert durch den Publikationsfonds der Universität KasselCitation
@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},
journal={Information},
year={2019}
}
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2019-09-10T13:37:53Z 2019-09-10T13:37:53Z 2019-07-01 doi:10.17170/kobra-20190910680 http://hdl.handle.net/123456789/11310 Gefördert durch den Publikationsfonds der Universität Kassel eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ big data analytics business analytics firm performance technology adoption systematic review 330 Big Data Analytics and Firm Performance: A Systematic Review Aufsatz 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. open access Maroufkhani, Parisa Wagner, Ralf Ismail, Wan Khairuzzaman Wan Baroto, Mas Bambang Nourani, Mohammad doi:10.3390/info10070226 publishedVersion ISSN 2078-2489 Issue 7 Information 226 Volume 10
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