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The outbreak and continuation of COVID-19 have spawned the transformation of traditional teaching models to a certain extent. The Chinese Ministry of Education’s guidance on “keep learning and teaching during class suspension” has made OTC and learning (OTC) become routinized, and the public’s emotional attitudes toward OTC have also evolved over time. The purpose of this study is to segment the emotional text data and introduce it into the topic model to reveal the evolution process and stage characteristics of public emotional polarity and public opinion of OTC topics during public health emergencies in the context of social media participation. The research has important guiding significance for the development of OTC and can influence and improve the efficiency and effect of OTC to a certain extent. The analysis of online public opinion can provide suggestions for the government and media to guide the trend of public opinion and optimize the OTC model.

This paper takes the topic of “OTC” on Zhihu during the COVID-19 epidemic as an example, combined with the characteristics of public opinion changes, chooses Boson emotional dictionary and time series analysis method to build an OTC network public opinion theme evolution analysis framework that integrates emotional analysis and topic mining. Finally, an empirical analysis of the dynamic evolution of the communication network for each stage of the life cycle of a specific topic is realized.

This paper draws the following conclusions: (1) Through the emotional value table and the change trend chart of the number of comments, the analysis found that the number of positive comments is greater than the number of negative comments, which can be inferred that the public gradually accepts “OTC” and presents a positive emotional state. (2) By observing the changing trend of the average daily emotional value of the public, it is found that the overall emotional value shows a stable development trend after a large fluctuation. From the actual emotional value and the fitted emotional value curve, it can be seen that the overall curve fit is good, so ARIMA (12, 1, 6) can accurately predict the dynamic trend of the daily average emotional value in this paper. Therefore, based on the above-mentioned public opinion, emotional analysis research, relevant countermeasures and suggestions are put forward, which is conducive to guiding the development direction of public opinion in a positive way.

Taking the topic of “OTC” in Zhihu as an example, this paper combines Boson emotional dictionary and time series to conduct a series of research analyses. Boson emotional dictionary can analyze the public’s emotional tendency, and time series can well analyze the intrinsic structure and complex features of the data to predict the future values. The combination of the two research methods allows for an adequate and unique study of public emotional polarization and the evolution of public opinion.

This study aims to examine the risk-resistant role of environmental, social and governance (ESG) performance in the capital market, focusing on an organizational standpoint. Furthermore, it aims to offer management decision advice to companies seeking protection against stock market risks. Conclusions obtained through this research have the potential to enrich the economic consequences of ESG performance, provide practical implications for enhancing corporate ESG performance, improving corporate information quality and stabilizing capital market development.

Based on the data of Chinese A-share listed companies from 2009 to 2020, this study examines the risk-resistant function of ESG performance in the capital market. The impact of ESG performance on management behavior is analyzed from the perspective of organizational management and the three mechanisms of pre-event, during the event and post-event.

This paper demonstrates that companies that effectively implement ESG practices are capable of effectively mitigating risks associated with stock price crashes. Heterogeneity analysis reveals that the inhibitory effect of ESG performance on stock price crash risk is more pronounced in nonstate-owned enterprises and enterprises with higher levels of marketization. After controlling for issues such as endogeneity, the conclusions of this paper are still valid. The mechanism analysis indicates that ESG performance reduces the risk of stock price crash through three paths of organizational management: pre-event, during the event and post-event. That is, ESG performance plays the role of restraining managers’ opportunistic behavior, reducing information asymmetry and boosting investor sentiment.

This paper provides new insights into the relationship between ESG performance and stock price crash risk from an organizational management perspective. This study establishes three impact mechanisms (governance effect, information effect and insurance effect), offering a theoretical basis for strategic corporate decisions of risk management. Additionally, it comprehensively examines the contextual differences in the role of ESG performance, shedding light on the specific domains where ESG practices are influential. These findings offer valuable insights for promoting stable development in the capital market and fostering the healthy growth of the real economy.

This study aims to focus on three types of team faultlines (separation-based faultlines, variety-based faultlines and disparity-based faultlines) and discuss the different ways through which their configurational properties (faultline strength and faultline distance) affect team performance.

The authors adopted panel data regression analysis to test the model. Panel data of Chinese provincial party-government top cadres teams that covers 30 provincial areas from 2007 to 2012 were collected for data analyses.

The results revealed that separation-based faultline strength was negatively related to team performance, variety-based faultline strength had a U-shape relationship with team performance and disparity-based faultline strength had an inversed U-shape relationship with team performance. In addition, separation-based and disparity-based faultline distances served as moderators enhancing the curvilinear relationship between faultline strength and team performance. Notably, variety-based faultline distance failed to exaggerate the U-shape relationship between variety-based faultline strength and team performance; however, the relationship changed based on different levels of variety-based faultline distance.

This study discussed team configurations based on three types of faultlines by comparing differences between team configurations reflected by diversity and faultline strength. Settled in Chinese political context, this study empirically tested the interaction effects between faultline strength and distance on team performance.

The purpose of this research is to investigate the relationships of environmental concern and risk perception with residents' waste mobile recycling behavior in the scenario of continuously increasing electronic waste (aka e-waste) around the world.

For empirically testing proposed research model, this study utilized convenience sampling strategy and collected 346 responses from residents in the People’s Republic of China (PRC) through an online survey. The hypotheses were tested utilizing the structural equation modeling (SEM) framework through Mplus 7.0 program (Muthen and Muthen, 1998–2012). Robust maximum likelihood (MLR) was used as the method of estimation.

The results revealed that environmental concern is positively associated with individuals' intentions to recycle waste mobile phones and that the relationship between concern for the environment and individuals' intention to recycle is mediated by the factors such as individuals' mobile phone recycling attitude and subjective norms. The results further indicated that individuals' information security risk perception moderates the relationship between individuals' intention for recycling and subsequent recycling behavior.

This study provides substantial theoretical and practical implications for residents' e-waste recycling behavior while considering their environmental concern and information security risk perceptions.

In this study, the expectancy disconfirmation model (EDM) was applied to explain the formation of public health emergency preparedness cooperative behavior (EPCB) as well as considering the roles of official media exposure and positive emotions.

The analysis was based on a sample of 374 respondents collected during the coronavirus (COVID-19) pandemic. A t-test was used to examine the differences in variables by sex, age and educational background. Hypothesis testing was conducted using structural equation modeling. Amos 24.0 and R 4.0.3 were used to analyze the data.

The results indicated that (1) official media exposure has a positive impact on expectations for and perceived performance of public services, as well as positive emotions; (2) the EDM can be used to explain public satisfaction with government public health services; and (3) public satisfaction and positive emotions have positive effects on EPCB; (4) EDM and positive emotions mediate the relationship between official media exposure and EPCB.

This study provides practical implications for increasing the EPCB from the perspective of risk communication.

Although research on entrepreneurial intentions has outlined the role of family instrumental support, little is known about the impact of family affective support. Building on social career cognitive theory, the purpose of this paper is to investigate entrepreneurial self-efficacy (ESE) as a mediator and work–home segmentation preferences as a moderator in the relationship between affective family–work enrichment and individuals' entrepreneurial intentions.

Using a sample of 202 business-oriented individuals enrolled in a Master of Business Administration (MBA) program at a large university in the east of China, this study tests the proposed theoretical framework by analyzing the first-stage moderated mediation model.

Affective family–work enrichment is positively related to entrepreneurial intentions through the mediating effect of ESE. This relationship is significantly stronger for individuals with lower levels of work–home segmentation preferences.

This study determines the relationship between family–work enrichment and entrepreneurial intentions, and enriches antecedents of entrepreneurial intentions from the perspective of family affective support. Moreover, our study provides novel understanding on the influence mechanisms of family–work enrichment on entrepreneurial intentions by exploring the mediating effect of ESE and the moderating effect of work–home segmentation preferences, which has rarely been explored in the extant literature.

The purpose of this paper is to explore factors influencing social media usage effectiveness of publishing-related entities and discuss the differences between publishing-related individuals and organizations in their usage of social media and the differences between commercial organizations and public service organizations (such as libraries).

This paper studied 546 publishing-related entities’ accounts on the leading Chinese social media and built a theoretical model for the usage of social media by publishing-related entities. Furthermore, it examined the influencing factors from two aspects: power of influence of an entity (entity influence) and the relational interaction of a publishing-related entity with its audience (interactive relationship).

The study found that for publishing-related individual users of social media, entity influence has a greater positive effect on the effectiveness of social media usage than on the effect of interactive relationship. For publishing-related commercial organizations, the entity influence and interactive relationship have equal impacts on the effectiveness of social media usage. It is also found that interactive relationship has a stronger positive effect on the usage effectiveness of social media, especially for publishing-related public service organizations.

This research fills the gap in the research of comparative analysis in the understanding of social media usage by individuals and organizations related to publishing activities. Moreover, it has tried to propose a theoretical model that can help promote the effectiveness of social media usages by various publishing-related entities and their business strategies.

In an effort to make audit reports more informative to users, the Public Company Accounting Oversight Board and the International Auditing and Assurance Standards Board adopted a standard that requires auditors to disclose key audit matters (KAMs). This paper aims to explore the impact of the risk information provided by KAMs on corporate debt contracting.

In China, the KAM standard went into effect for A + H cross-listing companies in 2017 and became mandatory for all listed companies in 2018. This study takes this as an exogenous shock to examine the impact of the KAM disclosures on debt contracting. This study also designs a path analysis to open the “black box” between the risk information in KAMs and the risk perception of creditors. Moreover, This study conducts a textual analysis on the KAMs information based on samples after the release of the KAM standard.

This study conducts difference-in-difference tests and find that the KAM disclosures decrease interest rates and increase the proportion of long-term debt. Path analyses reveal that the KAM disclosures lead to more favorable debt characteristics through decreasing information asymmetry. This study also finds that the more KAMs are disclosed, the more favorable debt characteristics are and that different categories of KAMs have different effects on debt contracting.

This paper highlights the benefits of KAM disclosures, which are consistent with the convergence argument of risk information disclosures. Investors’ reactions to KAMs are mixed because of the differences in how professional investors and nonprofessional investors interpret information. This study provides evidence of incrementally informative nature of KAMs from the perspective of debt holders, who are professional information users.

Green ambidexterity innovation and green competitive advantage are of great significance to enterprises' sustainable development. From the perspective of upper echelons theory, This paper aims to investigate the role of top managers in gaining green competitive advantage and the intermediary effect of the green ambidexterity innovation between them.

This paper uses empirical data from heavily polluting enterprises in China for constructing a model to infer how enterprises achieve the green competitive advantage.

The paper shows that (a) top managers' environmental awareness and the green ambidexterity innovation are both positively related to the green competitive advantage of enterprises, while there is a difference between the exploitative green innovation and the exploratory green innovation regarding the heterogeneity; the positive effect of the exploratory green innovation on enterprises' green competitive advantage is greater than that of the exploitative green innovation; (b) the green ambidexterity innovation plays a partial intermediary effect between top managers' environmental awareness and enterprises' green competitive advantage and (c) strategic flexibility positively moderates the relation between the green ambidexterity innovation and the green competitive advantage. The study concludes that top managers' environmental awareness has a significantly positive impact on reinforcing green competitive advantages and adopting the green ambidexterity innovation for heavily polluting enterprises in China.

This paper contributes to the green innovation management literature by offering a theoretical framework for examining how top managers' environmental awareness influences enterprises' green competitive advantage.