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Big data analysis adaptation and enterprises' competitive advantages: the perspective of dynamic capability and resource- based theories

机译:大数据分析的适应性和企业的竞争优势:动态能力和基于资源的理论的视角

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摘要

Big data analysis (BDA) adaptation has been spreading unprecedentedly fast among Chinese enterprises to gain a competitive advantage. Based on the resource-based theory (RBT) and dynamic capability theory (DCT), this study aims to propose a conceptual model to identify the sources of competitive advantages, interrelationship of their components, and the mechanism of obtaining competitive advantage. The results reveal several important findings. 1) Different dimensions of dynamic capabilities all have effects on competitive advantage, but they have different paths to influence these. 2) Two dimensions of dynamic capabilities have direct effects on the competitive advantages, and strategy flexibility has indirect effects on these. 3) Three dimensions of resources all indirectly and positively influence competitive advantages by affecting dynamic capabilities. 4) The path of resources and dynamic capabilities affecting competitive advantage are identified. The findings have important implications for managers that leverage BDA to achieve comparative advantages in business.
机译:大数据分析(BDA)适应已在中国企业中迅速传播,以获取竞争优势。基于资源基础理论(RBT)和动态能力理论(DCT),本研究旨在提出一种概念模型,以识别竞争优势的来源,各组成部分之间的相互关系以及获得竞争优势的机制。结果揭示了几个重要发现。 1)动态能力的不同维度都对竞争优势产生影响,但是它们具有不同的影响途径。 2)动态能力的两个维度直接影响竞争优势,而战略灵活性则直接影响这些竞争优势。 3)资源的三个维度都通过影响动态能力间接地和积极地影响竞争优势。 4)确定影响竞争优势的资源和动态能力的途径。该发现对利用BDA来实现业务相对优势的管理者具有重要意义。

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