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This study aims to explore the impact of chief executive officers’ (CEOs) values on the socially responsible behaviors (SRBs) of top management teams. Drawing from the social learning framework, it examines the mechanisms through which CEOs’ values shape SRBs within organizational leadership.

Using the hierarchical regression model, this study assesses direct effects, while the Monte Carlo method is used to evaluate indirect effects. The analysis is based on time-lagged data collected from 122 CEOs and 287 corresponding top managers from small- and medium-sized enterprises in China.

The results indicate a positive correlation between CEOs’ self-transcendent values and their own SRBs (i.e. doing-good and avoiding harm behavior). This, in turn, promotes top managers’ SRBs.

By highlighting the micro-foundations of corporate social responsibility, this study enriches the understanding of SRBs enhancement in management teams. It reveals the significance of CEO self-transcendent values as a precursor to SRBs and elucidates the learning processes involved.

With the rapid development of the economy, carbon emissions have also risen sharply. This study explores the relationship between the two by combining the literature of relevant fields and maps the analytical framework from the knowledge base to the research frontier model using CiteSpace.

Using CiteSpace and data statistical tools, we conducted a bibliometric and visual analysis of nearly ten thousand research papers on carbon emissions and economic development published in the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases from 1991 to 2021.

It shows that research on economic development and carbon emissions is developing steadily and involves a wide range of fields. Notably, keywords such as “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. Research institutions in the USA and China have made great contributions to research on economic development and carbon emissions. The authors should continue to enrich and improve research on related subjects and concerns to reasonably plan the path of carbon emission reduction and economic development.

The study analyzes the evolution of the relationship between carbon emissions and economic growth to provide scholars a more comprehensive and in-depth understanding of the relationship from an international perspective.

Recently, sharing economy is gradually accepted by people, and it has expanded from life to knowledge. It is important to encourage people to produce high quality content in knowledge sharing area, and knowledge payment is one of the most effective ways to achieve it. Therefore, the knowledge payment has been regarded as a huge business opportunity, and it is of great meaning to study the development trend and feasibility of knowledge payment. This chapter, through big data methods, analyzes the business model of Zhihu (a Chinese platform of knowledge sharing) after it introduced knowledge payment projects, such as Zhihu Live and Pay Consultation. According to data of Zhihu users’ Q&A, concerned fields and others, this chapter tries to outline its user profile to find out the target groups of different topics, the proper form of knowledge payment and the hot topics of Zhihu Live. Through the analysis of knowledge graph, this chapter finds that Zhihu Live is expected to be the mainstream knowledge payment form in the future, and the most potential topics are mainly focused on science, law, and business. Meanwhile, it establishes a pricing model for Zhihu Live, and provides suggestions for the development of knowledge payment.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper identified that the values that the CEO has can impact their socially responsible behaviors as well as those of the organization.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This research aims to investigate the impact of the collaborative governance mechanism on the implementation of rural governance information systems in developing countries. By integrating institutional logic theory, affordance theory and social identity theory, the authors propose modeling grassroots officials' affordance perception process and exploring the importance of multi-identities’ information technology (IT) goals in affordance perception.

Through an exploratory case study, the authors identified three affordances of rural governance information systems and investigated the mechanisms influencing the perception of these affordances among grassroots officials. Next, the authors established a research model and collected 490 valid questionnaires from grassroots officials in China and analyzed the data using structural equation modeling (SEM).

The authors' study challenges previous assumptions by integrating institutional logic, affordance and social identity theories. The authors establish a perceived affordance path for rural governance information systems, recognize substitute effects among technological affordances and extend the theory to explain social factors influencing IT perception. The authors' findings suggest providing technical training for grassroots officials to enhance IT capabilities, and governments should prioritize essential functionalities in rural governance information systems to optimize resources. Training on collaborative governance mechanisms can improve IT affordance perception, enhancing digital platform utilization in governance processes.

The study was conducted mainly in China, and therefore, the findings may not be universal to other developing countries. Researchers are therefore encouraged to test the proposal in locations with different rural cultures.

The paper includes implications for the development of IT perception in rural governance, the development of affordance perception theory and studying the relationship between IT goals and affordance perception.

Overall, this paper addresses the need to understand how grassroots officials perceive IT affordances in rural governance and study the relationship between multi-identities’ goals and affordance perception.

The purpose of this study is to investigate the effects of the innovativeness-related language of crowdfunding pitches on funding outcomes under different boundary conditions specified by two context-relevant signals, entrepreneurial passion and social endorsement.

This study develops six hypotheses about the focal impacts of innovativeness-related language (i.e. incremental and radical) and the moderating effects of entrepreneurial passion and social endorsement. The hypotheses are tested with a sample of 1,057 real projects collected from a typical platform with a computer-aided content analysis method.

This study finds that pitches containing more incremental innovativeness language can generate more funds and that those containing more radical innovativeness language can lead to less favorable funding outcomes. While incremental innovativeness language interacts with entrepreneurial passion language to positively affect funding outcomes, radical innovativeness language requires social endorsement to diminish its negative effect on funding outcomes.

This study demonstrates that the content of messages of entrepreneurial narratives does indeed drive funding success in the context of reward-based crowdfunding and confirms the relevance of the consumer perspective of reward-based crowdfunding by using a real dataset.

This work joins a number of entrepreneurial narrative studies investigating the impacts of the innovativeness-related language of pitches (issue-relevant content) and their interactions with informational signals (i.e. entrepreneurial passion and social endorsement) on funding outcomes in the context of reward-based crowdfunding.

This paper expects to analyze the connection between occupational stigma and job meaningfulness among Chinese takeaway riders, the mediating role of occupational identity and relative deprivation, and the moderating effect of job stress based on resource conservation theory.

The sample was derived from 371 takeaway riders across China. PLS-SEM was mainly utilized for the data analysis.

The findings of the study indicated a significant negative correlation between occupational stigma and job meaningfulness. Furthermore, it is worth noting that relative deprivation and occupational identity served as mediators and masks, respectively, in the relationship between occupational stigma and job meaningfulness. Furthermore, job stress amplifies the association between occupational stigma and occupational identity. Additionally, job stress diminishes the connection between occupational stigma and relative deprivation.

This study proposes a positive correlation between occupational stigma and occupational identity in the Chinese context. It also enriches the empirical research based on resource conservation theory. Furthermore, it holds practical implications for takeaway riders in China, offering insights to bolster their job meaningfulness.