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The support of host country nationals (HCNs) is a key determinant of expatriate adjustment and performance. The purpose of this paper is to explore underlying motivations for their support to expatriates. Previous research has shown that HCNs with pro-social motivation are more likely to help expatriates. Drawing upon motivated information processing in groups (MIP-G) theory, the authors test whether epistemic motivation moderates the observed relationship between pro-social motivation and HCNs’ support toward expatriates.

The authors ran two correlational studies (N = 267) in the USA (Study 1) and South Korea (Study 2). Across two studies, epistemic motivation and social motivation were measured using their multiple proxies validated in previous research. The authors also measured HCNs’ willingness to offer role information and social support to a hypothetical expatriate worker.

Results lend support to our hypotheses that pro-social HCNs are more willing than pro-self HCNs to provide role information and social support to the expatriates, but this occurs only when they have high rather than low epistemic motivation.

The current paper contributes the literature on HCNs helping expatriates by qualifying the prior results that a pro-social motivation (e.g. agreeableness and collectivism) increases the willingness of HCNs to help expatriates. As hypothesized, this study found that that case is only true when HCNs have high, rather than low, epistemic motivation. Also, previous research on MIP-G theory has mainly focused on the performance of small groups (e.g. negotiation, creativity and decision-making). To the best of the authors’ knowledge, this research is the first attempt to test MIP-G theory in the context of HCNs helping expatriates.

The purpose of this paper is to make an overview of 474 publications and 512 patents of FTL from 1987 to 2020 in order to provide a conclusive and comprehensive analysis for researchers in this field, as well as a preliminary knowledge of FTL for interested researchers.

Firstly, the FTL algorithms are classified and its functions are introduced in detail. Secondly, the structures of the publications are analyzed in terms of the fundamental information and the publication of the most productive countries/regions, institutions and authors. After that, co-citation networks of institutions, authors and papers illustrated by VOS Viewer are given to show the relationship among those and the most influential of them is further analyzed. Then, the characteristics of the patent are analyzed based on the basic information and classification of the patent and the most productive inventors. In order to obtain research hotspots and trends in this field, the time-line review and citation burst detection of keywords carried out by Cite Space are made to be visual. Finally, based on the above analysis, it draws some other important conclusions and the development trend of this field.

The research on FTL algorithm is still the top priority in the future, and how to improve the performance of SSD in the era of big data is one of the research hotspots.

This paper makes a comprehensive analysis of FTL with the method of bibliometrics, and it is valuable for researchers can quickly grasp the hotspots in this area.

This article draws the structural characteristics of the publications in this field and summarizes the research hotspots and trends in this field in recent years, aiming to inspire new ideas for researchers.