| Autor: |
Maroufkhani, Parisa, Wagner, Ralf, Ismail, Wan Khairuzzaman Wan, Baroto, Mas Bambang, Nourani, Mohammad |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Information, Vol 10, Iss 7, p 226 (2019) |
| ISSN: |
2078-2489 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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