TY - JOUR
T1 - Big data application and corporate investment decisions
T2 - Evidence from A-share listed companies in China
AU - Wang, Li
AU - Wu, Yuhan
AU - Huang, Zeyu
AU - Wang, Yanan
N1 - Publisher Copyright:
© 2024 Elsevier Inc.
PY - 2024/7
Y1 - 2024/7
N2 - Based on a natural language processing (NLP) method and annual reports from A-share listed companies in China from 2011 to 2020, this paper constructs a big data index for the corporate level and studies the impact of big data on corporate investment decisions. The study finds that big data significantly improves corporate investment decisions. From the perspective of index decomposition, data mining and mobile service are found to significantly improve corporate investment efficiency, while algorithm development and intelligent manufacturing mainly enhance the corporate investment level. The study also notes that heterogeneity may exist due to differences in financial, innovation, and legal environments. In terms of mechanisms, big data can positively influence corporate investment decisions by improving R&D investment and reducing transaction costs.
AB - Based on a natural language processing (NLP) method and annual reports from A-share listed companies in China from 2011 to 2020, this paper constructs a big data index for the corporate level and studies the impact of big data on corporate investment decisions. The study finds that big data significantly improves corporate investment decisions. From the perspective of index decomposition, data mining and mobile service are found to significantly improve corporate investment efficiency, while algorithm development and intelligent manufacturing mainly enhance the corporate investment level. The study also notes that heterogeneity may exist due to differences in financial, innovation, and legal environments. In terms of mechanisms, big data can positively influence corporate investment decisions by improving R&D investment and reducing transaction costs.
KW - Big data application
KW - Corporate investment decisions
KW - R&D investment
KW - Transaction costs
UR - https://www.scopus.com/pages/publications/85192198125
U2 - 10.1016/j.irfa.2024.103331
DO - 10.1016/j.irfa.2024.103331
M3 - 文章
AN - SCOPUS:85192198125
SN - 1057-5219
VL - 94
JO - International Review of Financial Analysis
JF - International Review of Financial Analysis
M1 - 103331
ER -