Are scholar-type CEOs more conducive to promoting industrial AI transformation of manufacturing companies?

Abstract

PurposeIn order to effectively promote the deep integration of artificial intelligence and the real economy and empower real enterprises to improve quality and efficiency, this study regards the CEO as a high-end innovation resource and aims to empirically test the impact of scholar-type CEOs on the industrial artificial intelligence (AI) transformation of manufacturing enterprises.Design/methodology/approachGrounded on the upper echelons theory, this paper preliminarily selects A-share manufacturing listed companies in Shanghai Stock Exchange and Shenzhen Stock Exchange that are affiliated to enterprise groups from 2014 to 2020 as samples. Furthermore, the Logit regression is conducted to analyze the influence of scholar-type CEOs about industrial AI transformation.FindingsThe results show that scholar-type CEO plays a significant role in promoting industrial AI transformation. The parent-subsidiary corporations executives' ties positively moderates the impact of scholar-type CEOs on industrial AI transformation. Further, internal control quality plays a partial mediating role between scholar-type CEOs and industrial AI transformation. Compared with private enterprises, scholar-type CEOs play a stronger role in promoting industrial AI transformation of state-owned enterprises.Originality/valueFirst, this paper expands the research related to the influencing factors of industrial AI transformation based on upper echelons theory and clarifies the influencing mechanism of scholar-type CEOs affecting industrial AI transformation from the perspective of executives' behavior. Second, this study further enriches the research framework on the economic consequences of scholar-type CEOs and provides a useful supplement to the research literature in the field of upper echelons theory. Third, this paper is not limited to a single enterprise but involves the management practice of resource allocation within the enterprise groups, further clarifies the internal logic of the decision-making of industrial AI transformation of listed companies within the framework of enterprise groups, providing theoretical reference for the scientific design of the governance mechanism of parent-subsidiary companies.

The influence of collective emotions in the response to supply chain disruptions: a buyer–supplier empirical approach

“…, 2010), lean management within the Toyota network (Potter, 2022), or digital supply chains and information sharing (Wei et al ., 2020). For example, to study industrial AI transformation (Xu and Zhang, 2023) or digital supply chains and information sharing (Wei et al ., 2020).…”

“…For example, to study the relationship between CEO characteristics and firm performance (Wang et al, 2016), representation of women in the top management team and environmental strategies (Kumar and Paraskevas, 2018), external pressures in the adoption of circular economy practices (Dubey et al, 2019), buyer's perception of supply disruption risks (Ellis et al, 2010), lean management within the Toyota network (Potter, 2022), or digital supply chains and information sharing (Wei et al, 2020). For example, to study industrial AI transformation (Xu and Zhang, 2023) or digital supply chains and information sharing (Wei et al, 2020).…”