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This study aims to explore the impact of leader emotional labor on employee voice. According to the emotion as information theory and the voice as a deliberate decision-making process framework, this study develops and tests a model that examines the mediating effects of psychological safety and perceived voice efficacy in this relationship.

This study conducted two studies to test hypotheses. Study 1 used a quantitative research methodology using a two-wave survey of 435 employees and 58 leaders in China. The research model was analyzed using multilevel path analyses. Study 2 collected 301 full-time employees from Prolific Platform. Hypotheses were tested using Mplus.

The results in Study 1 reveal that leader deep acting has a positive indirect relationship with employee voice via psychological safety. Conversely, leader surface acting has a negative indirect effect on employee voice through psychological safety. The results in Study 2 supported the hypotheses.

This study contributes to the voice as a deliberative process literature by introducing leader emotional labor as an antecedent of voice behavior. Additionally, this study indicates that perceived psychological safety and perceived voice efficacy are two important mediating mechanisms for implementing voice behavior.

The purpose of this paper is to examine the impact of the compensation amount as well as the mode through which compensations are paid on farmers’ satisfaction with the compensation received for farmland expropriation in China.

Using rural household survey data collected among 450 households in three provinces, located in eastern, central and western China, this paper estimates the impacts of compensation payments, compensation modes, household characteristics and other control variables on farmers’ satisfaction applying an ordinal probit model.

The major findings are: farmers’ satisfaction with the compensation depends not only on the size of the compensation but also on the gap between the compensation and the market value of the expropriated land; and the compensation amount positively affects farmers’ satisfaction when the social security compensation mode is used, but does not significantly affect farmers’ satisfaction when other modes are used.

First, it contributes to the literature on farmland expropriation by providing empirical evidence of the direct impact of the compensation amount and other factors on the degree of farmers’ satisfaction with farmland compensations. Second, potential interactions between compensation amount and compensation mode are taken into account in estimating factors affecting farmers’ satisfaction.

This study aims to analyze the dynamic monitoring of deformation damage of steel structure buildings in long-term use. Although the steel structure building has the advantage of high structural strength, it will be deformed after being affected by factors such as corrosion and impact during long-term use, and which will affect building safety, especially the public building facilities. The dynamic monitoring of its security is an indispensable means.

This paper briefly introduced the principle of building information modeling (BIM)-based steel structure building information monitoring and the dynamic information monitoring system based on this principle. Then the monitoring system was used to analyze an operational steel structure suspension bridge in Xinxiang City, Henan Province, China, and compared it with the monitoring system based on back propagation (BP) neural network.

The results showed that the fitting degree of the dynamic deformation displacement data processed by BIM-based monitoring system was higher than that processed by BP-based monitoring system. Based on the comprehensive comparison of the dynamic data of all monitoring points, the BIM-based monitoring system had higher accuracy of deformation displacement monitoring and reliability of structural safety evaluation.

In summary, the BIM-based steel structure building monitoring system can effectively monitor the dynamic information of steel structure information.

A pandemic causes abrupt and unanticipated disruptions in many facets of society. A lot of authorities have quickly turned to online teaching methods. The best methods for online teaching have become a hot topic of discussion due to this urgent fast transmission. It was difficult to teach physiology to medical and paramedical students online because of concerns about how to give the students an effective interactive online teaching practice and how to guarantee successful outcomes. Therefore, three approaches have been individually applied to medical and nursing students for the first time in the physiology department of the Faculty of Medicine in Rabigh, King Abdulaziz University. Through online lectures and assignments, the strategies attempted to capture the students’ interest and interaction. The second-year nursing students were given a mind map project to complete after the lecture. The third-year medical students used a crossword puzzle game to test the students’ understanding. The third-year medical students were presented with short stories to better comprehend the physiological processes covered in the lectures. Overall, the three instructional strategies received positive feedback from the students. Incorporating such cutting-edge and imaginative educational approaches, in conclusion, could significantly aid in managing the pressures that arise during pandemics.

The paper aims to discuss the amended provisions relating to protection of minority shareholders (PMS) in the newly amended Chinese Company Law and evaluate whether it adequately protects the interests of minority shareholders.

In total, 26 cases will be examined by discussing the characteristics of the relevant parties involved, specifically plaintiffs, defendants, their lawyers, judges and also the grounds of complaint. A comparison will be made between the cases decided by following the first Company Law (1994) and the cases decided in accordance with the newly amended Company Law (2006).

The findings indicate that the amended Company Law has removed certain drawbacks in PMS present in the first Company Law (1994) but the New Company Law can protect interests of minority shareholders only to a certain extent. Further amendments are still needed.

This is one of the first studies to actually examine the implementation of PMS‐related provisions in the newly amended Company Law.

The purpose of this paper is to present the landscape of the cash-per-publication reward policy in China and reveal its trend since the late 1990s.

This study is based on the analysis of 168 university documents regarding the cash-per-publication reward policy at 100 Chinese universities.

Chinese universities offer cash rewards from USD30 to USD165,000 for papers published in journals indexed by Web of Science, and the average reward amount has been increasing for the past ten years.

The cash-per-publication reward policy in China has never been systematically studied and investigated before except for in some case studies. This is the first paper that reveals the landscape of the cash-per-publication reward policy in China.

This paper aims to report a stretchable piezoresistive strain sensor array that can detect various static and dynamic stimuli, including bending, normal force, shear stress and certain range of temperature variation, through sandwiching an array of conductive blocks, made of multiwalled carbon nanotubes (MWCNTs) and polydimethylsiloxane (PDMS) composite. The strain sensor array induces localized resistance changes at different external mechanical forces, which can be potentially implemented as electronic skin.

The working principle is the piezoresistivity of the strain sensor array is based on the tunnelling resistance connection between the fillers and reformation of the percolating path when the PDMS and MWCNT composite deforms. When an external compression stimulus is exerted, the MWCNT inter-filler distance at the conductive block array reduces, resulting in the reduction of the resistance. The resistance between the conductive blocks in the array, on the other hand, increases when the strain sensor is exposed to an external stretching force. The methodology was as follows: Numerical simulation has been performed to study the pressure distribution across the sensor. This method applies two thin layers of conductive elastomer composite across a 2 × 3 conductive block array, where the former is to detect the stretchable force, whereas the latter is to detect the compression force. The fabrication of the strain sensor consists of two main stages: fabricating the conducting block array (detect compression force) and depositing two thin conductive layers (detect stretchable force).

Characterizations have been performed at the sensor pressure response: static and dynamic configuration, strain sensing and temperature sensing. Both pressure and strain sensing are studied in terms of the temporal response. The temporal response shows rapid resistance changes and returns to its original value after the external load is removed. The electrical conductivity of the prototype correlates to the temperature by showing negative temperature coefficient material behaviour with the sensitivity of −0.105 MΩ/°C.

The conductive sensor array can potentially be implemented as electronic skin due to its reaction with mechanical stimuli: compression and stretchable pressure force, strain sensing and temperature sensing.

This prototype enables various static and dynamic stimulus detections, including bending, normal force, shear stress and certain range of temperature variation, through sandwiching an array of conductive blocks, made of MWCNT and PDMS composite. Conventional design might need to integrate different microfeatures to perform the similar task, especially for dynamic force sensing.

Because natural resource utilization is a predictor of sustainable development, an evaluation of the efficiency of resource utilization is critical for assessing developmental potentiality. The purpose of this paper is to apply three-dimensional (3D) ecological footprint theory to assess the effects of production and consumption on ecological systems in Hefei, China.

Using data for Hefei for the period 2005-2014, an ecological footprint model (EFM) was developed to calculate the area’s ecological footprint (EF), ecological carrying (EC) capacity and obtain two indices, namely, footprint depth and size. The relationship between economic development and natural resource utilization was subsequently evaluated based on the calculated ecological deficit and the EF demand per Renminbi 10,000 of gross domestic product (GDP).

Over the last decade, Hefei’s EF per capita evidenced a 9.87 percent growth rate, increasing from 1.16 hm²/person in 2005 to 2.70 hm²/person in 2014. EC capacity per capita increased from 0.21 hm²/person in 2005 to 0.36 hm²/person in 2014, evidencing a gradually increasing trend at an average annual growth rate of 6.24 percent. Thus, between 2005 and 2014, the ecological deficit increased annually by three times. The amplification of footprint depth significantly exceeded that of footprint size. Between 2005 and 2014, Hefei’s EF per capita Renminbi 10,000 of GDP decreased annually by 4.68 percent. Thus, energy consumption in Hefei exceeded the natural regeneration capacity of energy resources, with excessive development and resource utilization impacting on the regional ecological system.

The application of a 3D EFM sheds light on natural resource utilization within regional development. Moreover, footprint depth and size are significant predictors of the impacts of natural resource utilization. These findings will also benefit other countries or cities.

This is one of the first empirical studies to apply a 3D EFM to evaluate the relationship between natural resource utilization and economic development. Adopting a sustainable development framework, it provides insights into the effects of natural resource utilization in relation to the balance between the natural ecological system and economic development. This has far-reaching implications beyond Hefei and China.

This paper aims to explore the mediating role of organizational entrepreneurial capability in the link between entrepreneurs’ effectuation and new venture performance, and whether entrepreneurs’ passion positively moderates this relationship in the Chinese emerging economy.

This study collected survey data from 140 Chinese new ventures. Following an empirical design, hierarchical regression analysis and bootstrapping analysis were applied to examine six hypotheses.

Results reveal that organizational entrepreneurial capability plays a positively mediating role in the association between entrepreneurs’ effectuation and new venture performance. Moreover, the whole mediation model is positively moderated by entrepreneurs’ passion, not only the association but also between entrepreneurs’ effectuation and organizational entrepreneurial capability.

The study is limited to the static relationships between key variables using the data obtained at one point in an emerging economy, which cannot investigate the dynamic evolution between variables. More longitudinal designs or cases to track the dynamic association should be considered.

The findings provide useful suggestions for entrepreneurs to enhance their effectual logic and entrepreneurs’ passion to better perceive and exploit opportunities and further improve new venture performance. The results also provide guidance for other groups, such as angel investors and policymakers, regarding how to use effectuation logic as an evaluation criterion to judge whether a new venture or program has investment potential.

These findings enrich the effectuation theory by providing the empirical evidence of the effect of entrepreneurs’ effectuation on new venture performance in an emerging economy. They also provide deeper insights into opportunity research by uncovering the mediating role of organizational entrepreneurial capability in the relationship between entrepreneurs’ effectuation and new venture performance.

This study aims to examine the relationship between an ownership structure with multiple large shareholders and corporate social responsibility (CSR) with regard to Chinese-listed companies.

Multiple regression analysis was used on 4,940 samples of 884 listed companies in China for the period 2009–2017, to empirically test the influence of an ownership structure on enterprises’ fulfillment of social responsibility. Moreover, the propensity score matching–difference in differences and Heckman two-stage approaches were used for the robustness of the regression results.

The results show that ownership structures with multiple large shareholders can promote social responsibility. The check-and-balance ability of non-controlling large shareholders, corporate information transparency and corporate system environment moderate the relationship between multiple large shareholders and CSR engagement.

This paper complements prior studies on the ownership structure of multiple large shareholders. The findings enrich the literature on corporate governance and CSR. The results also reveal information about the situational factors, helping identify the mechanism through which the ownership structure of multiple large shareholders affects CSR.