大数据分析能力文献综述
Literature Review on Big Data Analytics Capability
摘要: 随着数字经济快速发展，大数据分析能力(Big Data Analytics Capability，简称BDAC)已成为企业构筑竞争优势的关键要素。本文梳理59篇中英文核心文献，尝试构建大数据分析能力多维度、跨层次的整合分析框架。文章首先厘清大数据分析能力由资源基础观向动态能力观演进的认知脉络，归纳其主流维度划分，梳理资源基础观、动态能力观、组织信息处理理论等核心理论基础；继而系统评述该领域前因、结果、中介与调节机制的研究现状及现存局限，并搭建整合研究框架。最后结合文献梳理提出未来研究展望，为后续理论拓展与实证探究提供参考。
Abstract: With the rapid development of the digital economy, Big Data Analytics Capability (BDAC for short) has become a key element for enterprises to build competitive advantages. This paper sorts out 59 core Chinese and English literatures and attempts to construct a multi-dimensional and cross-level integrated analytical framework for Big Data Analytics Capability. Firstly, it clarifies the cognitive evolution path of Big Data Analytics Capability from the resourcebased view to the dynamic capability view, summarizes its mainstream dimensional divisions, and sorts out core theoretical foundations including the resourcebased view, dynamic capability view, and organizational informationprocessing theory. It then systematically reviews the current research status and existing limitations of antecedents, outcomes, mediating and moderating mechanisms in this field, and establishes an integrated research framework. Finally, future research prospects are proposed based on the literature review to provide references for subsequent theoretical expansion and empirical exploration.
文章引用：王欣萍, 吴雯佳, 聂昱涵, 马尚, 张稚童. 大数据分析能力文献综述[J]. 商业全球化, 2026, 14(4): 378-391. https://doi.org/10.12677/bglo.2026.144036

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