scholarly journals Using AI to Improve Corporate Governance

2021 ◽  
Vol 245 ◽  
pp. 03063
Author(s):  
Chien-Cheng Lin ◽  
Shih-Feng Chang

This paper mainly discusses the relationship between corporate governance and dynamic business performance in semiconductor industry. Although there have been many discussions on the relationship between corporate governance and corporate performance in the past, there is no consistent conclusion. We intend to analyze and compare the corporate governance variables group, the expression of long-term performance and the differences between upstream, midstream and downstream of semiconductor industry. In addition, because the existing problems of corporate governance can not be solved by the current rigid system, we attempt to cut in from the perspective of AI and propose the effect of automatic warning.

2020 ◽  
Vol 12 (4) ◽  
pp. 1680 ◽  
Author(s):  
Daeheon Choi ◽  
Paul Moon Sub Choi ◽  
Joung Hwa Choi ◽  
Chune Young Chung

This study investigates the monitoring effectiveness of the largest institutional blockholder in Korea, the Korean National Pension Service (KNPS), on firms’ engagement in corporate social responsibility (CSR). We use a large, unique sample from Korea, where the financial market is primarily characterized by chaebols. We show that lagged KNPS blockholdings do not significantly influence investee firms’ concurrent CSR indexes. This result indicates that even the largest institutional blockholder in Korea does not actively engage in firms’ CSR initiatives to enhance their long-term performance and prosperity. Overall, our results suggest that institutional investors should more actively serve as an effective corporate governance mechanism in emerging Asian markets, where companies aim to be profitable and long-term corporate governance is very important.


Author(s):  
Erik P.M. Vermeulen

This chapter examines initial public offerings (IPOs) as funding rounds for high-tech companies and exit mechanisms for investors, as well as the stringent corporate governance requirements that apply to newly listed companies in the growth stages of their development. Current investment trends seem to indicate that the IPO market is aging: More and more high-tech companies decide to remain private longer. Moreover, public market investors, such as hedge funds and mutual funds, increasingly invest in non-listed high-tech companies, making “IPO-like” investment rounds at massive valuations a normal phenomenon in the private market. These developments have led to the belief that we are in the next tech bubble. Fortunately, however, a new “establishment” amongst investors is emerging. They realize that in order to prevent the bursting of the bubble, they must collaborate with management and actively contribute to a company’s medium-term and long-term performance.


2014 ◽  
Vol 43 (3) ◽  
pp. 175-205 ◽  
Author(s):  
Marius Korsnes

This paper seeks to understand what government mechanisms have allowed China's wind industry to grow as fast as it has over the past ten years. Instead of formal rules and regulations, this paper focuses on specific sets of institutional conditions that have been crucial in the process of high-speed implementation of wind energy in China. Specifically, fragmentation and centralisation, together with policy experimentation and policy learning, have been fundamental for policy flexibility and institutional adaptability. The paper illustrates that there are benefits and disadvantages to these characteristics, and that inherent qualities of China's governing system that lead to rapid growth overlap with those that lead to challenges in terms of quality and long-term performance.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kyle Turner ◽  
Craig A. Turner ◽  
William H. Heise

Purpose The purpose of this paper is to introduce and test a portfolio view of a firm’s corporate social responsibility (CSR) activities. Drawing from stakeholder theory and the dynamic capabilities literature, the authors introduce CSR portfolio diversity and dynamism as key portfolio characteristics that have differential impacts across short- and long-term performance contexts. Design/methodology/approach The study draws from the Kinder, Lydenberg and Domini database to examine CSR portfolio diversity and dynamism across seven dimensions of CSR activities. The authors test the direct and indirect relationships between CSR portfolio characteristics and both short- and long-term performance outcomes to assess the opportunities and challenges associated with managing a diverse and dynamic CSR portfolio. Findings The findings suggest that a diverse portfolio of CSR activities positively impacts long-term performance; however, CSR portfolio diversity yields negative performance outcomes in the short-term. The authors also find that CSR portfolio dynamism moderates the relationship between CSR level and firm performance, such that a dynamic portfolio of CSR positively moderates the relationship between a firm’s CSR level and long-term performance; however, it negatively moderates the relationship between CSR level and short-term performance. Originality/value This study integrates insights from the literature that examine the independent effects of individual CSR activities and the broader perspective that assesses the aggregated summation of CSR activities in relation to firm performance. By taking a portfolio perspective, the present study provides a unique integration of these two research streams to examine the performance implications of engaging in a diverse and dynamic range of CSR activities.


2018 ◽  
Vol 56 (9) ◽  
pp. 1956-1968 ◽  
Author(s):  
Gun Jea Yu ◽  
Joonkyum Lee

Purpose The purpose of this paper is to investigate the contrasting moderating effect of a firm’s exploration on the relationship between the two types of long-term incentives (stock options/stock ownership) for the chief executive officers and a firm’s long-term performance. Even though the two types of incentives are designed to improve long-term performance, the degrees of impact on long-term performance differ. Based on behavioral agency theory, this study theoretically and empirically examines the role of a firm’s exploration on the above relationship. Design/methodology/approach This study used three archival sources to obtain data on stock options, stock ownership, patents and exploration, financial measures, and others. Based on a sample of 1,963 firms in various industries from 1995 to 2006, this study tested the moderating effect of a firm’s exploration on the relationship between stock options/ownership and a firm’s performance. Findings This study reveals the contrasting moderating effect of a firm’s exploration on the relationship between stock options/ownership and a firm’s long-term performance: a positive moderating effect on the relationship between stock options and performance and a negative moderating effect on the relationship between stock ownership and performance. In addition, empirical evidence was added on the inverted U-shaped relationship between stock ownership and a firm’s long-term performance. Originality/value There is little research on a firm’s internal characteristics that strengthen or weaken the effects of stock options and stock ownership on firm performance. This study demonstrates the differential moderating effects of exploration on the relationship between stock options/stock ownership and long-term performance. Such effects of exploration come from the different risk features of stock options and stock ownership. The key implication is that stock options could be more effective than stock ownership to enhance a firm’s long-term performance when a firm has a strong exploration orientation.


1989 ◽  
Vol 176 ◽  
Author(s):  
Louise J. Criscenti ◽  
R. Jeff Serne

ABSTRACTThe chemical behavior of cement in the natural environment is of interest because cement has been suggested as a means of containing low-level radioactive waste and as a barrier between radioactive-waste containers and the surrounding soil or rock. In the past, either experiments or computer modeling have been used independently to predict how cement will leach in the natural environment. In this study, a geochemical model for cement leaching was developed, and predictions by the model were compared to results from a static leach test. Calcium concentrations and pH were adequately predicted by the model; however, other major leachate constituents, such as Al, Si, and S04, were poorly predicted. Additional experimental data and refinement of the model are both required to better predict the observed leachate concentrations. Accurate prediction of experimental results by a geochemical model would increase confidence in the model for use in long-term performance assessment.


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