Governance of executive personal characteristics and corporate performance based on empirical evidence based on machine learning

Lin, Yang; Liu, Junling; Fan, Zehao; Yang, Dafei

doi:10.1007/s12652-021-03623-w

Cited by 3 publications

(5 citation statements)

References 19 publications

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“…The classification for the hotel and tourism industry is presented in Figure 5 . This classification is based on the representations in Yang et al (2022) and the data generators in Durana et al (2021) . The data generators (source) for this industry are diagrammatically represented in Figure 6 .…”

Section: Discussionmentioning

confidence: 99%

“… Yang et al (2022) analyze the corporate life cycles to predict the changes in bankruptcy and earning management. Corporate life cycle, different stages are investigated to manage the business earnings.…”

Section: Related Workmentioning

confidence: 99%

“…The proposed strategy increases the overall performance and effectiveness of the corporate governance system. Yang et al (2022) analyze the corporate life cycles to predict the changes in bankruptcy and earning management. Corporate life cycle, different stages are investigated to manage the business earnings.…”

Section: Related Workmentioning

confidence: 99%

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Analysis of the application of artificial intelligence technology in the protection of corporate governance rights and interests

Shen

2022

Front. Psychol.

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Corporate governance delivers feasible and controlled company operations using a group of common shareholders and appropriate policies. The roles and responsibilities of the shareholders suggest and improve corporate development through monotonous and independent rights. The implication of artificial intelligence provides knowledgeable insights for decision-making and control management. This article introduces a Mutual Consent-based Governance Regulation Model (MCGRM) for dissimilarity mitigation in corporate rule implications. The proposed model exploits transfer learning for balanced rule implication and decision-making. The learning states are defined based on mutual agreement, individual interest, and operational features. Based on the governance policies, the above rules are employed without hindering the pioneer regulations implemented in different periods. Therefore, artificial intelligence technology is utilized for prompt and swift governance decisions in delivering special rights for consumers and shareholders. The performance of this model is validated and verified using data sources related to governance policies from a real-time industry. The impact of varying policy features with dissimilarity is analyzed for varying occurrences. The analysis is given based on the considered data sources for which the classification and its impact over reports, sharing, voting, complaint, and market are analyzed. The availability before and after the proposed improves the above metrics by 10.48, 10.65, 9.78, 13.39, and 9.26%.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Analysis of the application of artificial intelligence technology in the protection of corporate governance rights and interests

Shen

2022

Front. Psychol.

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“…Chen et al (2022) analyzed that the environmental regulation index plays a significant role in promoting green development. Investors of companies are deeply concerned about the financial performance of companies, and the degree to which a company pays attention to environmental issues depends largely on economic performance (Yang et al, 2022). In general, the higher the economic performance, the stronger the awareness of the social responsibility of the company and the more motivated it is to improve its carbon emission performance (Tian et al, 2020); simultaneously, changes in macroeconomic factors will also have an impact on the carbon emission performance of the company.…”

Section: Control Variablesmentioning

confidence: 99%

Can senior executive characteristics improve carbon emission performance? Evidence from China

Liu

Zhang

et al. 2023

Front. Ecol. Evol.

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In recent years, the backbone of China's market economy has involved controlling corporate carbon emissions and reducing environmental pollution. This study aimed to investigate the relationship between the characteristics of senior managers and the carbon emission performance of enterprises. The empirical study used panel data on high-emission industries operating in the China A-shares market from 2014 to 2017. The results showed that the natural age, education level, and professional background of senior managers in high-emission enterprises were negatively correlated with the carbon emission performance of enterprises. However, in the case of large enterprises, there is no strong relationship between the natural age of executives and carbon emission performance, while professional background and education level are negatively correlated with carbon emission performance. However, natural age is significantly related to carbon emission performance in small and medium-sized enterprises. In the regional classification of enterprises, the natural age and professional background of the core executives of high-emitting enterprises in the eastern region are negatively correlated with carbon emission performance, while the professional background of the core executives of high-emitting enterprises in the central and western regions is positively correlated with carbon emission performance. Moreover, the natural age and educational level of executives are negatively correlated with carbon emission performance. To measure the carbon emission performance of an enterprise, the study used the balanced scorecard evaluation system (CEP). Meanwhile, it innovatively classifies and sorts the sample companies based on their overall size and distribution area, and analyzes the carbon performance and executive characteristics from two perspectives. The study provides suggestions and countermeasures for companies in China, especially those in high-emission industries, to help reduce pollution.

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“…According to the existing literature, scholars mainly discuss the impact of senior executives on innovation from the perspective of the executive’s educational background (Zhang et al , 2021; Wang et al , 2021), professional background (Liu et al , 2020), overseas background (He et al , 2021), gender and age (Bader et al , 2019; Wille et al , 2018; Yang et al , 2022), political background (Wei and Muratova, 2020) and other personal characteristics. Regarding the impact of executive incentives on innovation, existing studies mostly explore the effect of compensation incentives, and few studies examine the impact of equity incentives and corporate social responsibility (CSR) on innovation.…”

Section: Introductionmentioning

confidence: 99%

Research on executive equity incentives and corporate innovation performance: the role of corporate social responsibility

Yang

Han

Wang

et al. 2022

CMS

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Purpose Based on the principal–agent and stakeholder theories, this study aims to put forward an intermediary model to verify the intermediary role of corporate social responsibility (CSR) in executive equity incentives and corporate innovation performance to improve corporate innovation performance. Design/methodology/approach The 2012–2018 A-share listed companies’ disclosure of executive equity incentives data was used as the research sample. This study used CSR as an intermediary to explore the relationship between executive equity incentives and corporate innovation performance. A verification analysis was carried out. Findings The research results show that: a positive correlation exists between executive equity incentives and corporate innovation performance, and executives’ reasonable equity incentives can promote the growth of corporate innovation performance. A positive correlation exists between executive equity incentives and CSR. Implementing equity incentives for executives can stimulate their motivation to assume CSR. A positive correlation exists between CSR and corporate innovation performance. The more a company fulfills its social responsibility, the more it can promote the improvement of corporate innovation performance. CSR plays a mediating role between executive equity incentives and corporate innovation performance. CSR promotes executive equity incentives’ impact on corporate innovation performance and exerts a “complete mediating effect” between the two. Research limitations/implications The number of samples and the time span of samples can be expanded in the future. This research has tested the mediating effect of CSR, but other mediating variables may play a role in the process of executive equity incentives in promoting corporate innovation performance. Further research should be conducted to explore the mediating effect of financing constraints and media attention on corporate innovation performance. This study only verifies the influence of equity incentives on CSR and innovation performance of senior executives. In the future, other incentive methods should be explored, such as salary incentives. Practical implications Foreign research on equity incentives has matured, but the experience of foreign countries cannot necessarily produce the expected effect in China. More than ten years have passed since the China A-share market began implementing equity incentives on December 31, 2005. As of December 31, 2017, about one-third of enterprises in the high-tech industry that had introduced equity incentives had stopped implementing the policy. Data from 2012 to 2018 were selected to analyze the relationship between executive equity incentives, CSR and corporate innovation performance to explore the influence mechanism of equity incentives. This study provides a comprehensive theoretical framework to examine the interaction among executive equity incentives, CSR and corporate innovation performance. Because most previous studies have focused on the relationship between executive equity incentives, CSR and corporate innovation performance, they are rarely been used as an intermediary variable to explore the impact of executive equity incentives on corporate innovation performance. This study explores the impact of executive equity incentives on corporate innovation performance under the influence of CSR. Moreover, this study explores the mediating role of CSR in corporate governance, which provides a new perspective for CSR research and verifies relevant literature on the mediating effect model. Social implications Research countermeasures and suggestions: the research results are significant for enterprises implementing executive equity incentives, fulfilling CSR, enhancing corporate reputation, improving corporate innovation performance and ultimately obtaining market competitiveness. Therefore, the following suggestions are proposed: establish and improve the executive equity incentive mechanism and strengthen the promotion effect of executive equity incentives in CSR and corporate innovation performance. Strengthen the awareness of enterprises to actively fulfill CSR and give full play to the role of CSR in promoting corporate innovation performance. Improve the profitability of enterprises and focus on the promotion effect of enterprise profitability on corporate innovation performance. Originality/value This study focuses on executive equity incentives and introduces CSR as an intermediary variable to explore the influence path of executive equity incentives on corporate innovation performance. Based on the research results, this study takes targeted measures to improve corporate innovation performance and maintain its healthy growth of corporate innovation performance. This is significant in enhancing enterprises’ core competitiveness and promoting the enterprise economy’s sustainable development. Meanwhile, the enterprise has significant reference value in actively fulfilling its CSR and realizing its stable and healthy development.

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Governance of executive personal characteristics and corporate performance based on empirical evidence based on machine learning

Cited by 3 publications

References 19 publications

Analysis of the application of artificial intelligence technology in the protection of corporate governance rights and interests

Analysis of the application of artificial intelligence technology in the protection of corporate governance rights and interests

Can senior executive characteristics improve carbon emission performance? Evidence from China

Research on executive equity incentives and corporate innovation performance: the role of corporate social responsibility

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