大数据分析能力的文献综述

B. Shdifat, D. Cetindamar, S. Erfani
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引用次数: 3

摘要

许多研究人员和实践者对大数据感兴趣,因为它具有实现竞争优势的转型潜力。最近的研究表明,企业不仅通过对技术基础设施的投资,而且通过创造技术和组织能力来获得竞争优势。本文在资源基础观理论的指导下,通过深入的文献综述,找出“构建大数据分析需要具备哪些能力”。我们采用系统文献综述法,研究了2010年至2018年发表的学术文章。我们使用Scopus和Web of Science (WoS)数据库查找与大数据分析能力相关的已发表研究,其中25篇符合选择标准。结果显示,大数据分析能力分为两大类:人力和基础设施能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Literature Review on Big Data Analytics Capabilities
Many researchers and practitioners are interested in big data due to its transformational potential for achieving competitive advantage. Recent studies indicate that business achieves competitive advantage not only by investments on technology infrastructure but also by creating technological and organizational capabilities. In the light of the Resource-based View theory, this paper aims to find out "what capabilities have been required to build big data analytics?" by conducting an in-depth literature review. We adopted a systematic literature review approach and studied academic articles published between 2010 and 2018. We used Scopus and Web of Science (WoS) databases to find published studies related to big data analytics capabilities, twenty-five (25) of which met the selection criteria. Results showed capabilities of big data analytics fall into two major categories: human and infrastructure capability.
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