Search results

This study aims to examine how higher education can overcome some of the psychological barriers to pro-environmental behavior among college students by cultivating growth mindset of nature and to investigate whether, how and when growth mindset of nature can enhance pro-environmental behavior.

A three-wave survey was conducted to collect quantitative data on growth mindset of nature, connectedness with nature, pro-environment behavior and pro-environmental school climate among 283 undergraduate college students at two universities in China. This study used the Process Macro for SPSS (models 4 and 14) to reveal the effects of direct, mediating and moderated mediation.

The findings showed that growth mindset of nature positively affected students’ pro-environment behavior. Moreover, growth mindset of nature contributed to pro-environment behavior through the beneficial effects of connectedness with nature. In particular, positive pro-environmental school climate strengthens the mediating effects of connectedness with nature on the relationship between growth mindset of nature and pro-environment behavior.

Growth mindset of nature provides a vital impetus for facilitating college students’ pro-environmental behavior so that universities can incorporate sustainable development, climate change and environmental sustainability into curricula to cultivate students’ growth mindset of nature. Furthermore, educators could develop students’ connectedness with nature through environmental education by directly exposing them to nature. Finally, the pro-environmental school climate is the essential social-environmental nourishment for college students’ pro-environmental behavior.

This study advances implicit theory by introducing implicit beliefs to the environmental realm. Meanwhile, this study solves the puzzle concerning why people are aware of increasingly serious environmental issues, yet few are really engaged in pro-environmental behavior. A second contribution lies in extending the application of the pro-environmental climates into educational contexts to uncover the “black box” of how growth mindset of nature promotes college students’ pro-environmental behavior. Finally, this study enriches the literature on connectedness with nature by exploring the mediating mechanism of connectedness with nature between growth mindset of nature and pro-environmental behavior.

The purpose of this research is to study the management approach of automotive industry managers and students in China.

This paper focused on comparing the leadership orientation of respondents and compared 200 working managers with 181 graduate students in the automotive industry.

It appears that these Chinese respondents from the automotive industry have significantly higher scores on the relationship orientation than task orientation. Managers have significantly higher scores on both dimensions of leadership. Similarly, the female respondents in China had similar scores as their male colleagues.

It appears that being socialized in a collectivistic or high context culture can lead to higher focus on relationship orientation. Based on the results, practical implications and application for future research are explored.

This paper is original and analyzes the leadership orientation of respondents.

The Communist Party of China represents a distinctive philosophy of leadership, one in which it tries to present itself as the key promoter of Chinese style modernity and the national mission to become a great, rich, and powerful country again. Contemporary Chinese leaders however have to operate in a territory laden with historic issues, with huge administrative responsibilities, and with challenges of mobilizing and gaining support from a vast, complex, and often fractious public. This chapter looks at the various ways leaders in China have tried to fulfill these often contradictory demands, while also attempting to remain true to their core ideological beliefs at a time when the country is undergoing rapid economic and social transformation.

The growth of the global labor force and business analytics has significantly impacted human resource management (HRM). Human resource (HR) analytics is an emerging field that creates value for employees and organizations. By examining the existing studies on HR analytics, the paper systematically reviews the literature to identify active research areas and establish a roadmap for future studies in HR analytics.

A portfolio of 503 articles collected from the Scopus database was reviewed. The study has adopted a Latent Dirichlet allocation (LDA) topic modeling approach to identify significant themes in the literature.

The HR analytics research domain is classified into four categories: HR functions, statistical techniques, organizational outcomes and employee characteristics. The study has also developed a framework for organizations adopting HR analytics. Linking HR with blockchain technology, explainable artificial intelligence and Metaverse are the areas identified for future researchers.

The framework will assist practitioners in identifying statistical techniques for optimizing various HR functions. The paper discovers that by implementing HR analytics, HR managers and business partners can run reports, make dashboards and visualizations and make evidence-based decision-making.

The previous studies have not applied any machine learning techniques to identify the topics in the extant literature. The paper has applied machine learning tools, making the review more robust and providing an exhaustive understanding of the domain.

Anchored in the role of a social arbiter, the purpose of this study is to examine whether and how media coverage has an impact on CEO overconfidence and further explore how media ownership and Confucianism affect the relationship in the Chinese context.

Using a sample of 1,492 Chinese listed companies from 2010 to 2015, the study adopts random effects models to empirically analyze the effect of media coverage on CEO overconfidence and the roles of media ownership and Confucianism.

The paper finds that media coverage is significantly and positively associated with CEO overconfidence, and the positive relationship between media coverage and CEO overconfidence becomes stronger for state-controlled media. What is more, the influence of media coverage on CEO overconfidence is attenuated for those firms located in stronger Confucianism atmosphere. A further analysis reveals that different tenors of media coverage yield asymmetric effects.

The paper provides a new and solid support for the argument that media praise stimulates CEO overconfidence and increases the knowledge about under what conditions CEO overconfidence varies, broadly speaking which fosters the development of upper echelons theory (UET). Meanwhile, the results extend the literature on media effect and information processing. The findings are also beneficial to improve corporate decisions and government regulation on Chinese media systems.

This article aims to investigate the differences and similarities among cross-cultural, values and ethics between the USA and Asian countries. This article analyzes the degree of cultural distance between USA and Asian countries and the impact it has in companies. It examines the comparison between the USA and China’s value system. It also assesses how idealism and relativism impact individual ethical decision-making. In addition, this article examines the impact that globalization, foreign direct investment (FDI) and trade have in the Chinese culture and other countries.

The data for this research paper were collected from the following models: Ethics Position Questionnaire of Forsyth, Rokeach Values Survey, Hofstede model, GLOBE model and Wilcoxon test. The main sources used for this research were the Journal of Technology Management in China and the EBSCO database.

The research found that Western cultures tend to be more individualistic, while Asian countries tend to be very collective. This study also found that the type of value system that each culture holds depends on the type of government. This research also found that researchers have discovered that American managers are more loyal to their ethical beliefs, rather than to their superior’s or company’s ethical beliefs. While eastern Asian cultures focus more on the importance of acting in the best interests of the company’s superior. The study also found that it is extremely important for foreigners to build a relationship with Chinese business professionals before they do business negotiations. In addition, the study found that globalization, FDI and trade do make a significant cultural difference in some cultural dimensions.

It contributes to the literature by analyzing the different measurements in value, ethics and cultural differentiation. This research wants to demonstrate the importance of cultural differences, ethics and values across different countries and cultures. It also provides factual evidence that it’s important to understand these differences to be a successful global manager. In addition, it contributes to this literature by analyzing the effect that globalization, FDI and trade have in national cultures.

This study aims to extract knowledge of ancient Chinese scientific and technological documents bibliographic summaries (STDBS) and provide the knowledge graph (KG) comprehensively and systematically. By presenting the relationship among content, discipline, and author, this study focuses on providing services for knowledge discovery of ancient Chinese scientific and technological documents.

This study compiles ancient Chinese STDBS and designs a knowledge mining and graph visualization framework. The authors define the summaries' entities, attributes, and relationships for knowledge representation, use deep learning techniques such as BERT-BiLSTM-CRF models and rules for knowledge extraction, unify the representation of entities for knowledge fusion, and use Neo4j and other visualization techniques for KG construction and application. This study presents the generation, distribution, and evolution of ancient Chinese agricultural scientific and technological knowledge in visualization graphs.

The knowledge mining and graph visualization framework is feasible and effective. The BERT-BiLSTM-CRF model has domain adaptability and accuracy. The knowledge generation of ancient Chinese agricultural scientific and technological documents has distinctive time features. The knowledge distribution is uneven and concentrated, mainly concentrated on C1-Planting and cultivation, C2-Silkworm, and C3-Mulberry and water conservancy. The knowledge evolution is apparent, and differentiation and integration coexist.

This study is the first to visually present the knowledge connotation and association of ancient Chinese STDBS. It solves the problems of the lack of in-depth knowledge mining and connotation visualization of ancient Chinese STDBS.