How does digital transformation promote total factor productivity? Strategy, technology, and application

被引：4
|
作者：
Liu, Wenjing [1 ]
Liu, Caixia [1 ]
Luo, Jing [2 ]
Liu, Feng [1 ,3 ]
机构：
[1] Shandong Univ, Business Sch, Weihai, Peoples R China
[2] Shandong Univ, Sch Math & Stat, Weihai, Peoples R China
[3] Shandong Univ, Business Sch, 180 Wenhua Xilu, Weihai 264209, Peoples R China
来源：
MANAGERIAL AND DECISION ECONOMICS | 2024年 / 45卷 / 05期
关键词：
DYNAMIC CAPABILITIES; INFORMATION-TECHNOLOGY; INDUSTRY; 4.0; INNOVATION; PERSPECTIVE; REGRESSION; DIFFUSION; AGILITY; FIRMS; IDF;
D O I：
10.1002/mde.4155
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
To examine the productivity paradox in the digital era, we explore the impact of digital transformation (DT) on total factor productivity (TFP). Based on a large sample of Chinese manufacturing firms, this study conducts a machine learning approach to examine the effects of DT on TFP at the strategy, technology, and application levels. The results indicate that blockchain, DT strategy, cloud computing, artificial intelligence, DT application, and big data, in ascending order of importance, positively affect TFP. Overall, this study enriches DT literature by verifying the impact of DT indexes on TFP and helps companies make decisions when undertaking DT implementation.
引用
收藏
页码：2739 / 2750
页数：12
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