Business & IT · Vol. XII(1) · 2022
How analytics can impact firm performance in Japanese software companies
Abstract
The literature on big data analytics as well as tight efficiency continues to be fragmented as well as low in efforts to incorporate the present studies' results. This particular analysis seeks to make an organized overview of contributions associated with big data analytics as well as firm efficiency. The authors assess papers mentioned in the net of Science index. This particular analysis identifies the elements that could affect the adoption of big data analytics in different areas of a company and categorizes the several kinds of functionality that big data analytics are able to tackle. Directions for future investigation are developed from the effects. This particular systematic assessment proposes creating avenues for equally empirical and conceptual investigation streams by emphasizing the benefits of big data analytics in enhancing firm efficiency. Additionally, this assessment provides both scholars as well as professionals a heightened knowledge of the link between big data analytics as well as tight efficiency.
Keywords
big data analytics; company analytics; firm performance; technology adoption; systematic review
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How to cite (APA)
Hiroshi Akeera Katsu, Christophar Nicholas Hendstein (2022). How analytics can impact firm performance in Japanese software companies. Business & IT, Vol. XII(1), pp. 58–65. https://doi.org/10.14311/bit.2022.01.07