Industry and Regional Peer Effects in Corporate Digital Transformation: The Moderating Effects of TMT Characteristics

数字化转型 业务 中国 同侪效应 实证研究 滞后 样品(材料) 托比模型 稳健性(进化) 考试(生物学) 营销 心理学 经济 计量经济学 计算机科学 社会心理学 统计 数学 政治学 计算机网络 生物化学 化学 古生物学 色谱法 生物 万维网 法学 基因
作者
Xiaoxu Zhang,Xinyu Du
出处
期刊:Sustainability [MDPI AG]
卷期号:15 (7): 6003-6003 被引量:4
标识
DOI:10.3390/su15076003
摘要

Currently, the research on corporate digital transformation is mainly explored from the perspective of independent decision-making, but pays less attention to the interactive impact among peer firms. Taking the listed equipment manufacturing enterprises in China as its research sample, this paper uses theoretical analysis and empirical tests to test the impact of peer effect in corporate digital transformation and the moderating effect of top management team (TMT) characteristics. The results show that there are industry peer effects and regional peer effects in corporate digital transformation in which TMT characteristics play a moderating effect. Furthermore, the higher the proportion of females, the younger the average age, the higher the average education, and the longer the average tenure in TMT, the more significant the positive impact of industry peer effect and regional peer effect in corporate digital transformation. The above conclusions remain valid when using change variables, Tobit tests, lag period tests, and IV methods for robustness tests. Further analysis of the results shows that there is a non-linear impact between digital transformation and green technological innovation, and there are multiple mediating effects among industry and regional peer effects, digital transformation, R&D, and green technological innovation. In addition, it is necessary to further examine the social network peer effect in corporate digital transformation as well as the mechanism and economic consequences of peer effect in the future. These findings contribute to a more comprehensive understanding of the driving factors that affect the digital transformation of equipment manufacturing enterprises in China and provide new evidence and theoretical contributions for enterprises to enhance the efficiency of digital transformation and strengthen the construction of a TMT.
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