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This study aims to provide a systematic and complete knowledge map for use by researchers working in the field of research data. Additionally, the aim is to help them quickly understand the authors' collaboration characteristics, institutional collaboration characteristics, trending research topics, evolutionary trends and research frontiers of scholars from the perspective of library informatics.

The authors adopt the bibliometric method, and with the help of bibliometric analysis software CiteSpace and VOSviewer, quantitatively analyze the retrieved literature data. The analysis results are presented in the form of tables and visualization maps in this paper.

The research results from this study show that collaboration between scholars and institutions is weak. It also identified the current hotspots in the field of research data, these being: data literacy education, research data sharing, data integration management and joint library cataloguing and data research support services, among others. The important dimensions to consider for future research are the library's participation in a trans-organizational and trans-stage integration of research data, functional improvement of a research data sharing platform, practice of data literacy education methods and models, and improvement of research data service quality.

Previous literature reviews on research data are qualitative studies, while few are quantitative studies. Therefore, this paper uses quantitative research methods, such as bibliometrics, data mining and knowledge map, to reveal the research progress and trend systematically and intuitively on the research data topic based on published literature, and to provide a reference for the further study of this topic in the future.

This research examines the mediating effect of self-efficacy among interrelationships of emotional intelligence, achievement motivation and students’ employability in the Chinese higher education institutions. This study was primarily conducted by applying the social cognitive theory to explain the beliefs and abilities of being employed for university students and influenced by their achievement motivation.

A survey approach was employed to collect the samples of 585 final-year college students using the convenience sampling method from 5 different Chinese higher education institutions. The structural equation modeling (SEM) approach was used as the data analysis method.

The result significantly supported the positive effect of emotional intelligence (ß = 0.298, p < 0.001) and achievement motivation (ß = 0.307, p < 0.001) on students’ employability. Furthermore, the results also showed that self-efficacy significantly had a mediating effect between achievement motivation and employability (ß = 0.119, CI95%: 0.062, 0.195) among college students. However, the study confirmed that self-efficacy was not associated with the relationship between emotional intelligence and employability (ß = 0.029, CI95%: −0.003, 0.075).

This research clarifies and highlights that psychological variables have highly correlated with the employability outcomes of university students. The findings also hold significant value and practical implications for the governments, colleges, and students that enhancing employability should be through targeted interventions. This study sets the stage for future research exploring potential mediators of motivation and other essential factors that may influence among the existing relationship.

This study brings knowledge economy and sharing to advance environmental, social and governance (ESG). Nevertheless, knowledge economy is a broad research field and dynamic phenomenon. To fill this lacuna, the purpose of this study is to build a link between the literature field of knowledge economy and sharing to advance each ESG limitation. To achieve this aim, the authors have (1) presented the prevailing state of research on the literature field of knowledge economy and sharing and (2) provided future research avenues for understanding the ESG.

Therefore, this study has conducted a bibliometrics-based visualization analysis of literature data of 169 publications in knowledge economy field from 2010 to 2020. The authors classify findings into five clusters mapping the evolution of knowledge economy.

The analytical findings indicate the linkages between these clusters with ESG, as well as the application of knowledge economy to advance ESG limitations. This study offers future research implications for knowledge management scholars and managerial suggestions to ESG practitioners.

ESG is a newly emerging investment concept and corporate evaluation standard aiming at exploring a sustainable development path and striking a balance between commercial value and corporate social responsibility. But the status quo indicates identical ESG limitations due to the board of directors’ limited knowledge capacity, inconsistent and ununified ESG measurement and a lack of ESG information. In parallel, knowledge economy has increasingly created a huge higher rate of return and benefits towards this disruptive society. This study brings knowledge economy and sharing to advance ESG. Nevertheless, knowledge economy is a broad research field and dynamic phenomenon.