大数据
竞争优势
业务
构造(python库)
维数(图论)
调解
知识管理
多样性(控制论)
双灵巧性
调解
产业组织
过程管理
营销
计算机科学
人工智能
数据挖掘
机器学习
数学
程序设计语言
法学
纯数学
政治学
作者
Zhengang Zhang,Yu Shang,Linyuan Cheng,Antao Hu
出处
期刊:Sustainability
[MDPI AG]
日期:2022-07-06
卷期号:14 (14): 8249-8249
被引量:1
摘要
After the rapid expansion of data variety, velocity and volume, human civilization experienced rapid changes in the period between the “IT” and “Data” ages. Researchers view big data and data capability as new sustainable competitive advantages that enhance the sustainability of organizational development. This paper aims to develop and empirically test a framework that will investigate how big data capability is achieved through exploitative, explorative and ambidextrous modes of innovation strategies, and will also explore how they can, in turn, build firms’ sustainable competitive advantage. Using data from surveys of 229 respondents working in Chinese manufacturing firms, we test the framework using regression and bootstrapped mediation analyses. It also shows how big data capability will make firms more inclined to implement exploitative innovation strategy and construct sustainable competitive advantage, as opposed to explorative innovation strategy; when viewed from an ambidextrous perspective, combined dimension of ambidextrous innovation strategy is found to partially mediate between big data capability and sustainable competitive advantage while balanced dimension of ambidextrous innovation strategy does not. The conclusions are of great significance because they will help firms to deal with challenges that arise in big data applications and digital transformation. The findings offer new insight into the strategic choices of organizational innovations.
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