Xu Peng, Zhang Zichao
School of Business Administration and Corporate Governance Research Center of Shandong University of Finance and Economics, Jinan, China.
School of Business Administration, Shandong University of Finance and Economics, Jinan, China.
Front Psychol. 2023 Mar 2;14:1126801. doi: 10.3389/fpsyg.2023.1126801. eCollection 2023.
The purpose of this paper is to empirically test the impact of CEO's financial background on industrial AI transformation of manufacturing enterprises based on upper echelons theory and imprinting theory.
The paper preliminarily takes listed manufacturing companies in Shanghai and Shenzhen stock markets that are affiliated to enterprise groups from 2014 to 2020 as samples, and manually collects and collates datas of CEO's financial background and industrial AI transformation. The research hypotheses are tested by stata 15.0 software.
It is found that CEO's financial background significantly inhibits the industrial AI transformation of manufacturing enterprises, and when the CEO works part-time in the parent company, it will strengthen the negative impact of CEO's financial background on industrial AI transformation. Further research shows that enterprise financialization plays a partial intermediary role between CEO's financial background and industrial AI transformation; Compared with private enterprise groups, the inhibiting effect of CEO financial background on industrial AI transformation is stronger in state-owned enterprise groups; CEOs with non-banking financial background have a stronger inhibitory effect on industrial AI transformation.
Firstly, based on the process of making business decisions, it verifies and clarifies the action mechanism of CEO's financial background on industrial AI transformation through internal driving mechanism, which expands the research horizon of industrial AI transformation, and further applies the Imprinting Theory in biology to the research of business decision-making, which forms a beneficial complement to the relevant research on economic consequences of CEO's financial background. Secondly, different from the research of single independent company, this paper focuses on the special situation of parent-subsidiary corporate governance, and explores the mechanism of action, deepening the research on the synergy of enterprise groups. Finally, this paper further explores the influence of CEO's financial background on industrial AI transformation, which is conducive to a deeper understanding of the heterogeneity of managers except manpower and capital factors in the industrial AI transformation practice of manufacturing enterprises, and provides a new idea and a more comprehensive analysis perspective for industrial AI transformation.
本文旨在基于高层梯队理论和印记理论，实证检验首席执行官（CEO）的财务背景对制造企业产业人工智能转型的影响。
本文初步选取2014年至2020年隶属于企业集团的沪深两市上市制造企业作为样本，人工收集并整理CEO财务背景和产业人工智能转型的数据。运用Stata 15.0软件对研究假设进行检验。
研究发现，CEO的财务背景显著抑制制造企业的产业人工智能转型，且当CEO在母公司兼职时，会强化其财务背景对产业人工智能转型的负面影响。进一步研究表明，企业金融化在CEO财务背景与产业人工智能转型之间起部分中介作用；与民营企业集团相比，CEO财务背景对产业人工智能转型的抑制作用在国有企业集团中更强；具有非银行金融背景的CEO对产业人工智能转型的抑制作用更强。
首先，基于企业决策过程，通过内部驱动机制验证并阐明了CEO财务背景对产业人工智能转型的作用机制，拓展了产业人工智能转型的研究视野，并进一步将生物学中的印记理论应用于企业决策研究，为CEO财务背景经济后果的相关研究形成有益补充。其次，与单一独立公司的研究不同，本文聚焦母子公司治理的特殊情况，探究其作用机制，深化了对企业集团协同效应的研究。最后，本文进一步探究了CEO财务背景对产业人工智能转型的影响，有助于更深入理解制造企业产业人工智能转型实践中除人力和资本因素外管理者的异质性，为产业人工智能转型提供新思路和更全面的分析视角。
