Improving firm performance through big data analytics capability: The role of corporate digital entrepreneurship and institutional support

IF 7.5 1区 经济学 Q1 BUSINESS, FINANCE
Jianmin Song , Qianxi Huang , Haohua Li , Ping Yang
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引用次数: 0

Abstract

Although existing studies agree that big data analytics capability (BDAC) could improve firm performance, there is still a blank map in discussing its mechanisms and conditions. To fill this research gap, this study develops a theoretical model by examining the intermediating role of corporate digital entrepreneurship and discussing the moderating role of institutional support. Supported by primary data from 340 Chinese firms, the results demonstrate that BDAC can improve firm performance by facilitating corporate digital entrepreneurship. Meanwhile, institutional support strengthens the relationship between BDAC, corporate digital entrepreneurship, and firm performance. Finally, institutional support also positively moderates the indirect effect of corporate digital entrepreneurship. These findings generate new knowledge into the mechanisms and conditions by which BDAC improves firm performance.
通过大数据分析能力提高企业绩效:企业数字创业和制度支持的作用
虽然现有研究一致认为大数据分析能力(BDAC)可以提高企业绩效,但在探讨其机制和条件方面仍然是一张空白地图。为了填补这一研究空白,本研究通过考察企业数字创业的中介作用,并讨论制度支持的调节作用,构建了一个理论模型。基于340家中国企业的原始数据,研究结果表明BDAC可以通过促进企业数字创业来提高企业绩效。同时,制度支持强化了BDAC、企业数字创业和企业绩效之间的关系。最后,制度支持对企业数字创业的间接效应也有正向调节作用。这些发现为BDAC提高企业绩效的机制和条件提供了新的知识。
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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