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Since the 1990s, an imbalanced marriage market has ushered in a great number of female immigrants, mainly from China and certain ASEAN countries, into Taiwan. These immigrant brides lose their original social networks and face difficulties acculturating, which in the long run may take a toll on their psychological well-being. The purpose of this paper is to identify what the factors are and how they are associated with the symptoms of depression and anxiety among immigrant brides.

Due to the difficulty of identifying immigrant brides within the general population, the research relies on a convenience sample of 366 immigrant brides in eight cities or counties in Taiwan. The research team provided questionnaires in different languages including Traditional Chinese, Simplified Chinese, English, Vietnamese, Thai, and Indonesian. Surveyed immigrant brides filled in questionnaires while participating in activities for Immigrant Day.

Hierarchical regression analyses show that perceived discrimination and sociocultural barriers are the two greatest factors causing depression and anxiety among immigrant brides. However, the effect of social support is not as clear as expected. Emotional social support from “the same ethnic group” is significant in reducing the symptoms of psychological depression of immigrant brides, but it cannot explain the variation in anxiety among immigrant brides.

Although the psychological well-being of immigrant brides in Taiwan is an important issue, little scholarly research has been published on this increasing segment of the population. The research can improve our understanding of the acculturation of immigrant brides in Taiwan. Meanwhile, the findings in the Taiwan-based research may provide further helpful knowledge for South Korea and China, both of which generally share a similar culture with Taiwan and are also facing the issues of marriage market imbalance and the increase of immigrant brides, in developing prevention and intervention strategies and/or programs to enhance the psychological well-being of immigrant brides.

This study introduces a comprehensive bibliometric analysis of the foreign direct investment (FDI) literature by multinational corporations (MNCs) focusing on emerging economies to identify the most influential authors, journals and articles in FDI research and reveals the fields' conceptual and intellectual structures. The purpose of this paper is to address these issues.

The study analyzed 533 articles published between 1974 and 2020 in 226 academic journals indexed in the Web of Science (WoS) and Scopus databases. We used the R language for statistical computing to map author collaboration, co-word and develop a conceptual and intellectual map of the field.

The results show that, although the FDI literature has many authors, few dominate the field. The International Business Review (IBR) and International Journal of Emerging Markets (IJoEM) are the main sources of the publications. Moreover, bibliometric laws show that our dataset follows the Lotka law of scientific productivity and Bradford law of scattering, identifying the core journals. Finally, FDI by MNCs in emerging economies research is divided into four sub-research themes related to (1) FDI determinants, (2) entry mode, (3) MNCs and FDI performance and (4) the internationalization process.

The current article provides several starting points for practitioners and researchers investigating FDI. It contributes to broadening the vision of the field and offers recommendations for future studies.

The purpose of this paper is to determine the criteria weights of outsourcing and their key role in ranking outsourcing suppliers.

A new hybrid multi-criteria decision-making approach merges three tools, namely, decision making trial and evaluation (DEMATLE), fuzzy analytic network process (FANP) and ordinal/cardinal data envelopment analysis (DEA) model. Afterwards, experts’ opinions were gathered from a Pipe and Fittings company. Finally, their opinions were incorporated in three-stage approach for outsourcing suppliers’ selection.

The findings of this study show that among the selective criteria for outsourcing, business development, focus on basic activities and order delays are the three most important criteria. Also, the proposed approach ranks suppliers to facilitate decision making for selection.

The number of suppliers, selection criteria and the number of members of the respondents’ team have been identified as some of the limitations of the present study.

The study has significant and practical implications for the managers and for the organizations which have to choose top suppliers, particularly in the case of dealing with numerous and qualitative/quantitative criteria.

This paper proposed a new three-stage approach that incorporates outputs of previous as inputs of next stage to increasing results accuracy. Also, it showed that by incorporating results of FANP method into DEA model, key role of experts’ opinions as a qualitative and quantitative criteria can be caused by increasing flexibility of decision process.

Heavy fog results in low visibility, which increases the probability and severity of traffic crashes, and fog warning system is conducive to the reduction of crashes by conveying warning messages to drivers. This paper aims at exploring the effects of dynamic message sign (DMS) of fog warning system on driver performance.

First, a testing platform was established based on driving simulator and driver performance data under DMS were collected. The experiment route was consisted of three different zones (i.e. warning zone, transition zone and heavy fog zone), and mean speed, mean acceleration, mean jerk in the whole zone, ending speed in the warning zone and transition zone, maximum deceleration rate and mean speed reduction proportion in the transition zone and heavy fog zone were selected. Next, the one-way analysis of variance was applied to test the significant difference between the metrics. Besides, drivers’ subjective perception was also considered.

The results indicated that DMS is beneficial to reduce speed before drivers enter the heavy fog zone. Besides, when drivers enter a heavy fog zone, DMS can reduce the tension of drivers and make drivers operate more smoothly.

This paper provides a comprehensive approach for evaluating the effectiveness of the warning system in adverse conditions based on the driving simulation test platform. The method can be extended to the evaluation of vehicle-to-infrastructure technology in other special scenarios.