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This study investigates the mediating role of wage and workforce adjustments, along with the moderating influence of collective bargaining system and employees’ localization, in elucidating the relationship between the COVID-19 shock and workplace employee relations (ER) tension.

Survey data from 1,483 enterprises across 21 prefectural cities in China’s Guangdong Province are collected. The hypotheses are tested by logistic regression.

The study reveals a positive correlation between the COVID-19 shock and workplace ER tension across crisis-hit enterprises, irrespective of their size or industrial sector. Wage reduction and mass layoffs emerge as significant mediators, while the collective bargaining system (CBS) and employees’ localization act as moderators.

The measurement of ER is limited in a single-item scale. Representation of China is also limited since the study exclusively focuses on Guangdong province. The study offers some contributions that firm-level data reveal the pathway through which COVID-19 creates ER tension.

On the one hand, the authors recommend the establishment of an effective communication system between employers and employees. On the other hand, managers should consider the role of informal institutions. Furthermore, the authors suggest implementing tailored strategies at the enterprise level.

Intense external shocks result in widespread layoffs and increased wage reductions within workplaces, and under such circumstances, formal or informal institutions may be insufficient to alleviate ER tension. In this case, the state authorities – including governments and other public agencies or bodies – are necessary to intervene in to organize tripartite dialogue.

While numerous emerging studies on COVID-19 explore how different countries manage industrial relations tension at the national level, few focus on ER at workplace level, particularly in developing countries. Understanding how workplace ER evolve during external shocks and identifying institutional measures to mitigate their negative impact is crucial for future crisis management.

This paper aims to examine the relationship between the female participation in top management team (TMT) and the growth performance of small and medium-sized enterprises (SMEs) in the Chinese economic environment.

Adopting resource dependence theory, this paper tests the hypotheses using panel data from 469 Chinese-listed SMEs during the period of 2011 to 2013.

The results show that female participation in TMT significantly promotes the growth performance of SMEs, and there is significantly inverted U-shaped relationship between these two variables.

This paper finds that education level weakens the inverted U-shaped relationship between the female’s participation in TMT and the growth performance of SMEs.

European Parliament adopted a new directive on gender balance in corporate boards when by 2026, companies must employ 40% of the underrepresented sex into non-executive directors or 33% among all directors. Therefore, this study aims to analyze the impact of gender diversity (GD) on board of directors and the shareholders’ structure and their impact on the likelihood of company bankruptcy during the COVID-19 pandemic.

The data sample consists of 1,351 companies for 2019 and 2020, of which 173 were large, 351 medium-sized companies and 827 small companies. Three bankruptcy indicators were tested for each company size, and extreme gradient boosting (XGBoost) and logistic regression models were developed. These models were then cross-validated by a 10-fold approach.

XGBoost models achieved area under curve (AUC) over 98%, which is 25% higher than AUC achieved by logistic regression. Prediction models with GD features performed slightly better than those without them. Furthermore, this study indicates the existence of critical mass between 30% and 50%, which decreases the probability of bankruptcy for small and medium companies. Furthermore, the representation of women in ownership structures above 50% decreases bankruptcy likelihood.

This is a pioneering study to explore GD topics by application of ensembled machine learning methods. Moreover, the study does analyze not only the GD of boards but also shareholders. A highly innovative approach is GD analysis based on company size performed in one study considering the COVID-19 pandemic perspective.

While the Chinese securities market is booming, the phenomenon of listed companies falling into financial distress is also emerging, which affects the operation and development of enterprises and also jeopardizes the interests of investors. Therefore, it is important to understand how to accurately and reasonably predict the financial distress of enterprises.

In the present study, ensemble feature selection (EFS) and improved stacking were used for financial distress prediction (FDP). Mutual information, analysis of variance (ANOVA), random forest (RF), genetic algorithms, and recursive feature elimination (RFE) were chosen for EFS to select features. Since there may be missing information when feeding the results of the base learner directly into the meta-learner, the features with high importance were fed into the meta-learner together. A screening layer was added to select the meta-learner with better performance. Finally, Optima hyperparameters were used for parameter tuning by the learners.

An empirical study was conducted with a sample of A-share listed companies in China. The F1-score of the model constructed using the features screened by EFS reached 84.55%, representing an improvement of 4.37% compared to the original features. To verify the effectiveness of improved stacking, benchmark model comparison experiments were conducted. Compared to the original stacking model, the accuracy of the improved stacking model was improved by 0.44%, and the F1-score was improved by 0.51%. In addition, the improved stacking model had the highest area under the curve (AUC) value (0.905) among all the compared models.

Compared to previous models, the proposed FDP model has better performance, thus bridging the research gap of feature selection. The present study provides new ideas for stacking improvement research and a reference for subsequent research in this field.

The planning and construction of innovative university science and technology parks are facilitated on the basis of urban planning reconstruction, and the sustainable development of our country is the main basis for the implementation of the innovation plan and future design of university science and technology parks. However, some aspects of the transformation of a city have impeded the planning and development of university science parks. In order to solve this problem, in this study, the overall planning and successful establishment of science and technology parks in well-known universities were analyzed; and “Cambridge Future” was selected as the practical example and basis for the construction of innovative university science and technology parks; and then CATIC Science City in Nanjing was used as the object of empirical analysis. In addition, the construction of these parks in universities was evaluated through the case analysis and the excellent design strategies and results, and the planning model and construction concept of these parks were proposed after the contradiction between the transition stage of cities and the design of university science parks was resolved.

This study aims to take advantage of the unprecedented anti-corruption campaign launched in China in December 2012 and examine the effect of improved public governance on tunneling.

This study uses a sample of Shanghai and Shenzhen Stock Exchange listed companies from 2010 to 2014 and conduct regression analyses to investigate the effect of improved public governance attributed to the anti-corruption campaign on tunneling.

This study finds that the level of tunneling decreased significantly after the anti-corruption campaign, suggesting that increased public governance effectively curbs tunneling. Cross-sectional results show that this mitigating effect is more pronounced for non-SOE firms, especially non-SOE firms with political connections, firms audited by non-Big 8 auditors, firms with a large divergence between control rights and cash flow rights and firms located in areas with lower marketization.

This study highlights the importance of anti-corruption initiatives in improving public governance and in turn reducing tunneling. This study provides important implications for many other emerging economies to improve public governance.

This study contributes to the literature on the role of public governance in constraining corporate agency problems and advances the understanding of the economic consequences of China's anti-corruption campaign in the context of tunneling.

This paper aims to investigate how project nature affects the effectiveness of knowledge transfer between projects in project-based organizations (PBOs) and to analyze the roles of inter-project communication, transfer intention and information technology (IT) in the influencing process.

This paper adopted a questionnaire survey method to collect data from construction enterprises in China and subsequently proceeded to structural equation modeling analysis with a total of 261 samples.

The results indicate that the similarity of projects could promote the inter-project communication and improve transfer intention, which further influences knowledge transfer effectiveness positively within PBOs. The urgency of projects has a negative impact on inter-project communication and transfer intention. The temporality of projects also negatively affects inter-project communication. They consequently hinder the knowledge transfer behaviors between projects. Additionally, the application of IT improves the frequency of communication and makes up for the negative impact of geographical distance between projects on knowledge transfer.

Based on the results, a series of strategies is recommended to improve knowledge transfer effectiveness between projects, including standardizing project management, promoting information construction, establishing a post-project evaluation system and creating a shared culture, so that the competitive advantages of PBOs could be improved.

The study explores the factors influencing knowledge transfer between projects from the perspective of project nature and provides guidance for enhancing knowledge management and project management practices.

This paper aims to explore the impact mechanism of Chinese university students’ perceived entrepreneurial environment on their entrepreneurial tendency in the context of Chinese economic transition. In particular, the paper provides a reference for relevant departments to make policies and entrepreneurship educators to perfect the pedagogical design and curriculum development in entrepreneurship education programs.

The authors used questionnaires to collect data in Chinese universities via random sampling, and gained 729 valid questionnaires. Results from principal component analysis indicate that the scales have a good reliability. In particular, entrepreneurial attitude had three components. The hypotheses are tested by using Spearman correlation and multiple linear regression; the level of statistical significance of F-test was less than 0.05. Hence, multiple linear regression can be used in the analyses.

The study found that university students’ perceived social environment and economic environment have a positive influence on their entrepreneurial tendency, and entrepreneurial attitude is partially playing a mediating role between students’ perceived entrepreneurial environment and entrepreneurial tendency. However, students’ perceived policy environment has no significant impact on entrepreneurial tendency.

Environmental factors are often viewed as“gap fillers” in related studies, and mostly concentrated in the Western developed countries. This study attempts to fill the gaps in the context of Chinese economic transition.

The purpose of this paper is to investigate the effect Ti on stress corrosion cracking (SCC) and flow accelerated stress corrosion cracking (FA-SCC) behavior and mechanisms of Monel K500 alloy.

Monel K500 alloy with different Ti contents was designed. A metallurgical microscope (XJP-3C) and scanning electron microscopy (EV0 MA15 Zeiss) with an energy dispersive spectroscopy were used to analyze the microstructure of the Monel K500 alloy. In situ electrochemical tests were carried out in static and flowing seawater to study FA-SCC behavior.

The number of TiCN particles in the alloy increased as the increase of Ti content. The static corrosion and SCC of Monel K500 alloy are reduced as the content of Ti increases. Generally, the SCC of alloys was caused by the synergistic effect of the anodic dissolution at exposed metal matrix and the pit corrosion of metal matrix adjacent to TiCN particles, which was further accelerated by flowing.

The corrosion behavior and mechanism of Monel K500 alloy with different Ti contents in a complex flowing seawater environment are still unclear, which remain systematic study to insure the safe service of the alloy.

This study aims to empirically investigate how the interaction effect of occasion-setting cues and consumers’ cognitive styles (e.g. field dependence levels) influences their food intake intention.

In this research, several scenario simulation studies were conducted to verify the hypotheses. A total of 646 participants were recruited for the experiments, and samples were obtained through well-established online research platforms.

In the occasion-setting cue advertisement condition, field-dependent (vs field-independent) consumers displayed increased cravings for food and purchase intention, with mental simulation playing a mediating role and cognitive load playing a moderating role.

The influence of others (e.g. servers and other consumers) was not taken into consideration in this study. Future research can extend this study by conducting field experiments.

The research conclusions can help various organisations reduce consumers’ food overconsumption intention and encourage healthier food choices by adjusting occasion-setting cues in marketing stimuli and identifying the target consumers’ cognitive styles.

Based on embodied cognition theory, this study reveals the influence and internal mechanism of the interaction effect between occasion-setting cues and individual cognitive style on eating desire.