分析学如何影响日本软件公司的业绩

Hiroshi Akeera Katsu, Christophar Nicholas Hendstein
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摘要

关于大数据分析和紧密效率的文献仍然是碎片化的,并且在整合当前研究结果方面的努力也很低。这一特殊的分析旨在对大数据分析和企业效率相关的贡献进行有组织的概述。作者评估了科学网索引中提到的论文。这个特殊的分析确定了可能影响在公司不同领域采用大数据分析的因素,并对大数据分析能够解决的几种功能进行了分类。从效应出发,提出了今后的研究方向。这种特殊的系统评估建议通过强调大数据分析在提高企业效率方面的好处,为同等经验和概念的调查流创造途径。此外,该评估为学者和专业人士提供了关于大数据分析与紧密效率之间联系的更高知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How analytics can impact firm performance in Japanese software companies
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.
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