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Contemporary focus on infections and deaths in the event of pandemics may distract health institutions and medical practitioners from the psychosocial consequences of the outbreak in individuals. In light of the devastation, persistency and scarcity of pandemics, it is imperative to delve into individuals' psychological state and self-preservation instincts when confronted with the environmental danger arising from pandemic conditions and the environmental restrictions being imposed.

Guided by the self-preservation theory, the authors advance a research model to elucidate the moderated mediation effect of secondary traumatic stress on an individual's reactions when faced with environmental danger and restriction. The authors also consider the moderating influence of environmental restriction and media use diversity. The authors subsequently validated the research model via a survey with 2,016 respondents in China. The authors employed PLS-SEM to analyze the data and assess the hypothesized paths.

Analytical results revealed that secondary traumatic stress fully mediated the impact of environmental danger on external reliance but suppresses the mediating effects on internal reliance. The authors further confirmed that environmental restriction moderated the relationship between environmental danger and reliance. Furthermore, the authors attest to the moderating influence of media use diversity on the relationship between secondary traumatic stress and external reliance.

This study not only extends the theoretical lens of self-preservation to public health emergencies but also yields practical guidelines for coping with pandemics. Insights from this study can be harnessed to aid populations worldwide in coping and recovering from pandemics.

As convenience and anonymity, people with mental illness are increasingly willing to communicate and share information through social media platforms to receive emotional and spiritual support. The purpose of this paper is to identify the degree of depression based on people's behavioral patterns and discussion content on the Internet.

Based on the previous studies on depression, the severity of depression is divided into four categories: no significant depressive symptoms, mild MDD, moderate MDD and severe MDD, and defined each of them. Next, in order to automatically identify the severity, the authors proposed social media digital cues to identify the severity of depression, which include textual lexical features, depressive language features and social behavioral features. Finally, the authors evaluate a system that is developed based on social media digital cues in the experiment using social media data.

The social media digital cues including textual lexical features, depressive language features and social behavioral features (F1, F2 and F3) is the relatively best one to classify four different levels of depression.

This paper innovatively proposes a social media data-based framework (SMDF) to identify and predict different degrees of depression through social media digital cues and evaluates the accuracy of the detection through social media data, providing useful attempts for the identification and intervention of depression.

The purpose of this paper is to examine how the usage of enterprise social media (ESM) affects eventual employee turnover.

This study developed a theoretical model based on the proposition that different ESM usage behaviors (utilitarian use, hedonic use and social use) have different effects on employee turnover, and job type and job level can moderate the effect of ESM usage on turnover. The model was examined empirically using 1,791 employee samples from a large high-tech manufacturing enterprise deploying ESM.

The results indicate that the utilitarian and social use of ESM has negative effects on turnover, but the hedonic use of ESM has positive effects on turnover. Furthermore, for employees working in different job types and job levels, there are significant differences concerning the effect of ESM usage on their turnover.

ESM managers should encourage employees to use ESM for utilitarian needs and social support but restrict excessive use of ESM for leisure. In addition, different ESM use policies depending upon job types and job levels could be adopted to retain valuable employees.

Few studies have focused on how usage of ESM affects eventual employee turnover. Given the lack of theoretical research and empirical evidence, the authors developed a theoretical model and conducted an empirical study to fill the research gap.

Online reviews in online health communities (OHCs) have been a vital information source for patients. The extant literature on the bias effects of helpful reviews mainly concentrates on traditional e-commerce, whereas research on OHCs is still rare. Thus, based on the heuristic-systematic model (HSM), this research explores how two unique reviewer characteristics in OHCs, which may induce attribution bias and confirmation bias, affect review helpfulness and how review length moderates these relationships.

This research analyzed 130,279 reviews collected from haodf.com (one of the representative OHCs in China) by adopting the negative binomial regression to test our research model.

The results indicate that reviewer cured status positively influences review helpfulness, whereas reviewer recommendation source negatively affects review helpfulness. Moreover, the effects of the two reviewer cues on review helpfulness will be weaker for longer reviews.

First, as one of the initial attempts, the current study investigates the effects of confirmation bias and attribution bias of online reviews in OHCs by exploring the effects of two unique reviewer characteristics on review helpfulness. Second, the weakening moderating effects of review length on the two bias effects provide empirical support for the theoretical arguments of the HSM in OHCs.

This study aims to investigate the relationship between the ownership structure of firms and the private benefits of control through an analysis of Chinese listed firms.

Using a sample of Chinese firms, cases were examined where there had been a transaction involving non‐tradable stock. The cases where there had been stock transactions which both did and did not involve the transfer of control within a single year were selected. The difference between these two types of transaction was used to estimate the private benefits of control in Chinese listed firms. Regression analysis was used to explore the relationship between ownership structure and private benefits of control in Chinese listed firms.

The results show that the average private benefit of control is 18.52 percent in China. The regression results show a significant, positive relationship between the controlling shareholders, the combined shareholdings of the second to fifth largest shareholder and private benefits of control. However, there is a negative but insignificant relationship between the tradable share value and private benefits of control. With regard to the relationship between managerial shareholding and private benefits of control, the regression results show a positive but insignificant relationship.

Further insights into the private benefits of control can be obtained by inspecting the change around major corporate events involving significant ownership changes. In this study, the focus was on non‐tradable stock. Investigating all stock would be a fruitful area for future research.

In China, firms should optimize the ownership structure and curb expropriation by controlling shareholders. This would help to promote a sound development of Chinese listed firms and the capital market.

The research provides useful information on the impact of ownership structure on private benefits of control in a sample of listed firms in China.

The purpose of this paper is to explore the relations of investment and stock prices (Tobin‐Q), the impact of asymmetric information on the investment sensitivity to stock price, and the impact of asymmetric information on the stock price sensitivity to investment.

Research was conducted with 313 listed companies and 1,878 firm‐year observations from Chinese stock market. Empirical studies were conducted based on two hypotheses by using R², information delay and scores of information disclosure as measures of asymmetric information and taking changes in book assets and capital expenditures scaled by book assets as measures of investment.

The key findings of the paper are: managers are learning from the market when they make investment decisions; the asymmetric information has a significant negative impact on the investment sensitivity to stock price; and the asymmetric information has a significant positive impact on the stock price sensitivity to investment.

The paper has a significant practical implication for regulation policy making in stock market.

The paper fills the research gap in two points. It studies the impact of asymmetric information on the investment sensitivity to stock price, and the impact of asymmetric information on the stock price sensitivity to investment in Chinese stock market for the first time.

Prefabricated buildings (PBs) have proven to effectively mitigate carbon emissions in the construction industry. Existing studies have analyzed the environmental performance of PBs considering the shift in construction methods, ignoring the emissions abatement effects of the low-carbon practices adopted by participants in the prefabricated building supply chain (PBSC). Thus, it is challenging to exploit the environmental advantages of PBs. To further reveal the carbon reduction potential of PBs and assist participants in making low-carbon practice strategy decisions, this paper constructs a system dynamics (SD) model to explore the performance of PBSC in low-carbon practices.

This study adopts the SD approach to integrate the complex dynamic relationship between variables and explicitly considers the environmental and economic impacts of PBSC to explore the carbon emission reduction effects of low-carbon practices by enterprises under environmental policies from the supply chain perspective.

Results show that with the advance of prefabrication level, the carbon emissions from production and transportation processes increase, and the total carbon emissions of PBSC show an upward trend. Low-carbon practices of rational transportation route planning and carbon-reduction energy investment can effectively reduce carbon emissions with negative economic impacts on transportation enterprises. The application of sustainable materials in low-carbon practices is both economically and environmentally friendly. In addition, carbon tax does not always promote the implementation of low-carbon practices, and the improvement of enterprises' environmental awareness can further strengthen the effect of low-carbon practices.

This study dynamically assesses the carbon reduction effects of low-carbon practices in PBSC, informing the low-carbon decision-making of participants in building construction projects and guiding the government to formulate environmental policies.

The purpose of this paper is to investigate the influence of idiosyncratic risk on firm decisions.

By introducing managerial ownership as a key variable, the paper presents a parsimonious model to describe the consequences of idiosyncratic risk on firm decisions. Then the paper uses data from the Chinese stock market, in which the managerial ownership is very low (around 0.02 percent) to examine the model predictions.

The authors find that: first, the negative relation between idiosyncratic risk and firm investment, which is found in prior studies, tends to be insignificant when managerial ownership is very low; second, diversification, as an alternative firm decision to lower risk positively, relates to idiosyncratic risk despite lower managerial ownership; and third, this kind of positive relation is weaker for firms with more managerial incentives when diversification is endogenously modeled.

This paper provides new evidence to complement existing studies from developed markets, in which executives hold substantial stakes.