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This paper aims to investigate the impact of environmental risk on corporate governance through market reaction to bank loan announcements.

Using the establishment of environment court in China as a quasi-natural experiment, this paper adopt the difference-in-differences approach based on listed firms during 2003–2013 to explore the impact of environment court on corporate governance.

This paper find that the environment court would weaken the cumulative abnormal return of loan announcements. Then, this paper confirm that the potential reason is that environment court worsens the interest conflict between majority and minority shareholders. Further, cross-sectional analysis suggests that bank’s supervision, market competition and analyst coverage can alleviate the impact of environment court on corporate governance.

Environment courts intensify firms’ internal interest disputes, thus causing the decrease of corporate governance, which can be observed through the effect of bank loan announcements.

This paper provide reference for environmental policy formulation and implementation, firms’ decision-makings and improving the banking regulatory system.

This paper makes a contribution to the studies about the impact of environment court on firms’ decision-making and investors’ reaction, the impact of external factors on corporate governance and bank loan announcements effect.

For studies in educational data mining or learning Analytics, the prediction of student’s performance or early warning is one of the most popular research topics. However, research gaps indicate a paucity of research using machine learning and deep learning (DL) models in predictive analytics that include both behaviors and text analysis.

This study combined behavioral data and discussion board content to construct early warning models with machine learning and DL algorithms. In total, 680 course sections, 12,869 students and 14,951,368 logs were collected from a K-12 virtual school in the USA. Three rounds of experiments were conducted to demonstrate the effectiveness of the proposed approach.

The DL model performed better than machine learning models and was able to capture 51% of at-risk students in the eighth week with 86.8% overall accuracy. The combination of behavioral and textual data further improved the model’s performance in both recall and accuracy rates. The total word count is a more general indicator than the textual content feature. Successful students showed more words in analytic, and at-risk students showed more words in authentic when text was imported into a linguistic function word analysis tool. The balanced threshold was 0.315, which can capture up to 59% of at-risk students.

The results of this exploratory study indicate that the use of student behaviors and text in a DL approach may improve the predictive power of identifying at-risk learners early enough in the learning process to allow for interventions that can change the course of their trajectory.

In this paper, we draw from our own empirical data on worker organizing and identify important concepts that bridge social movement (SM) and industrial relations (IR) theory. In a context of traditional union decline and a surge of alternative types of worker mobilization, we apply SM and IR concepts related to the mobilizing structures and culture to cases of labor organizing via worker centers and community–labor alliances in the United States and China. From an analytical perspective, we argue that the field of SMs and IR can both benefit from this type of cross-discipline theorization.

This paper aims to present a fully actuated aerial manipulator (AM) with a robust motion/force hybrid controller for conducting contact-typed inspection tasks in industrial plants.

An AM is designed based on a hexarotor with tilted rotors and a rigidly attached end effector. By tilting the rotors, the position and attitude of the AM can be controlled independently, and the AM can actively exert forces on industrial facilities through the rigidly attached end effector. A motion/force hybrid controller is proposed to perform contact-typed inspection tasks. The contact-typed inspection task is divided into the approach phase and the contact phase. In the approach phase, the AM automatically approaches the contact surface. In the contact phase, a motion/force hybrid controller is used for contact-typed inspection. Finally, a disturbance observer (DOB) is used to estimate external disturbances and used as feedforward compensation.

The proposed AM can slowly approach the contact surface without significant impact in the contact phase. It can realize constant force control in the direction normal to the contact surface in the contact phase, whereas the motion of the remaining directions can be controlled by the operator. The use of the DOB ensures the robustness of the AM in the presence of external wind disturbances.

A fully actuated AM system with a robust motion/force hybrid controller is proposed. The effectiveness of the proposed AM system for conducting contact-typed industrial inspection tasks is validated by practical experiments.

The purpose of this paper is to elaborate a unique approach to researching into the mind of Mao and, at the same time, review of papers in this issue of Chinese Management Studies. Through this paper, the editor hopes to communicate the three simple yet important criteria that should feature in the selection of future papers.

Values of scholarly community as embodied within the 1,040-year-old Yuelu Academy are first introduced as translated by the joint efforts of the authors. The relevance of such cultural values for modern scholars is then discussed. This is followed by the author highlighting the unique research opportunity (documentary study and analysis) as offered by the Shaoshan Mao Memorial Museum. Perhaps it is possible to get a hint of the thinking of Mao Zedong. Finally, consistent with the earlier two review papers, a bird-eye view of key findings is given of the nine selected papers, namely, on politics, state-owned enterprises, team, socialism, planning, human resource management, leadership, competition and knowledge.

Clearly the modern scholarly community will benefit by imbibing the values of the Yuelu Academy with their strong emphasis on ethical behaviors, diligence and the deep pursuit of scholarly inquiry. Also, the Chinese, by documenting the writings of Mao Zedong (Shaoshan Museum), made him perhaps the most well-documented strategist for in-depth research. From the latest review of manuscripts, authors have yet to incorporate Chinese cultural, historical and social background as an integral part of their papers.

This paper calls for scholars to try to reintegrate Chinese cultural values back into research on Chinese management. Professor Warner Malcolm, Cambridge University, a contributing author wrote to the journal saying in essence: “[…] Chinese management is […] deeply rooted in Chinese cultural norms […]” Hopefully more of the submissions will begin to reflect such an orientation.

This study aims to acquire the influence mechanism of gas film adaptive adjustment (GFAA) acted on the dynamic characteristics of spiral groove dry gas seal (S-DGS) and then propose a sealing stability enhancement measure.

The gas film dynamic stiffness and damping of S-DGS are obtained by numerically solving the transient Reynolds equation based on perturbation method and finite difference method. The dynamic coefficients in GFAA model and constant gas film thickness (CGFT) model are compared and analyzed.

There is the risk to misestimate the instability of DGS with rotational speed or medium pressure grows under the condition of CGFT assumption. Based on GFAA model, increasing balance ratio B properly is an effective measure to improve the stability of DGS. The balance ratio can stimulate the sensitivity of gas film dynamic coefficients to the variation of rotational speed. Increasing medium pressure in small balance ratio range will be conducive to reducing the risk of angular instability.

The influence mechanism of GFAA on S-DGS dynamic characteristics is analyzed. The interactions between rotational speed and balance ratio, medium pressure and balance ratio acted on gas film dynamic characteristics are explored based on the GFAA model.

This study seeks to understand how accountant stereotypes have been constructed and reconstructed at the macro-national and the structural level in Chinese society.

This qualitative investigation into China's social construction of accountant stereotypes employs Becker's (1963) labelling theory. Viewing stereotyping as a socially constructed practice, this study draws on a post-positivistic, reflexive epistemology in conducting 28 semi-structured interviews with accountants and related actors.

Chinese accountant stereotypes are constructed and reconstructed according to the rules created and enforced in different cultural-political periods. The accountant stereotypes constructed during the ancient Confucian period (500 BC – 1948) were replaced during 1949 and 2012 when the political focus shifted towards propagating socialism and later promoting economic growth. They also show how Confucian stereotypes of accountants resurfaced in 2013 but were reconstructed by the central government's cultural confidence policy of propagating Confucianism.

Empirically, prior literature has focused on what the accountant stereotype is and how accountants respond to such stereotypes, but it has neglected the ways in which these accountant stereotypes are politically and culturally constructed, diffused and legitimated. This paper fills in the gap by understanding the social practice of accountant stereotyping in a previously unexplored political-cultural context, namely Chinese society. In theoretical terms, by offering the first use of Becker's (1963) labelling theory in the accounting literature, it furthermore enhances our understanding of how accountants' identities and social standing are shaped by social rules.

The purpose of this paper is to improve the corrosion resistance of the 6061-Al alloy as the battery pack material for electric vehicles, and the nano-SiC/MAO composite coating was prepared.

The corrosion resistance of coatings was evaluated by the global electrochemical test, and the local electrochemical impedance spectroscopy (LEIS) was used to study the local corrosion mechanism. The laser confocal microscope, scanning electron microscope and X-ray diffractometer (XRD) were used to characterise coatings.

Results showed that the impedance of nano-SiC/MAO coating was 1–2 times higher than MAO coating, and the main corrosion product was Al(OH)₃. LEIS results showed that the impedance of the nano-SiC/MAO coating was two times higher than the MAO coating. The defective SiC/Micro-arc oxidation coating still had high corrosion resistance compared to the MAO coating.

The physical model of the local corrosion mechanism for SiC/MAO composite coating in “cavity-fracture collapse” mode was proposed.

This paper seeks to propose that practical wisdom originating within the Chinese classical traditions has been instrumental in China's ascendance to the world stage. Its purpose is to analyze biographical data across 200 Chinese business leaders in order to gauge the relative influence of two competing ideologies – Maoism and Confucianism.

This paper is based on a two‐step design process. First, modern day leadership archetypes characterizing Maoist and Confucian ideology were developed from the literature. Second, these archetypes were applied in the content analysis of biographical data on Chinese business leaders.

There was evidence of both Maoism and Confucianism in the practices of Chinese business leaders. An unintended, third cohort of leaders emerged, representative of the younger end of the biographical distribution, who appear to embrace paradox in their ideological orientation.

There were three practical implications for management and leadership development: the importance of integrating the concept of paradox into management and leadership development curricula; the provision of illustrative alternatives to western world leadership exemplars; and increased emphasis on global leadership as an emergent phenomenon with particular attention to the burgeoning internationalization of Chinese enterprise and its associated ideologies.

The current leadership literature is dominated by western world exemplars. This paper offers an alternative view; one rich with the wisdom and classical traditions of the Chinese culture.

The choice of a sales channel for fresh vegetables is an important decision a farmer can make. Typically, the farmers rely on their personal experience in directing the produce to a sales channel. This study examines how sales forecasting of fresh vegetables along multiple channels enables marginal and small-scale farmers to maximize their revenue by proportionately allocating the produce considering their short shelf life.

Machine learning models, namely long short-term memory (LSTM), convolution neural network (CNN) and traditional methods such as autoregressive integrated moving average (ARIMA) and weighted moving average (WMA) are developed and tested for demand forecasting of vegetables through three different channels, namely direct (Jaivasree), regulated (World market) and cooperative (Horticorp).

The results show that machine learning methods (LSTM/CNN) provide better forecasts for regulated (World market) and cooperative (Horticorp) channels, while traditional moving average yields a better result for direct (Jaivasree) channel where the sales volume is less as compared to the remaining two channels.

The price of vegetables is not considered as the government sets the base price for the vegetables.

The existing literature lacks models and approaches to predict the sales of fresh vegetables for marginal and small-scale farmers of developing economies like India. In this research, the authors forecast the sales of commonly used fresh vegetables for small-scale farmers of Kerala in India based on a set of 130 weekly time series data obtained from the Kerala Horticorp.