Industrialization has brought many foreign workers into a country, and this situation is an inevitable event. The inflow of foreign workers may help to resolve unnecessary vacancies rejected by local workers. However, the influx of foreign workers has actually brought many effects that affect the country’s economic growth. With the booming economy in Taiwan, the industrial structure is undergoing more and more changes. Because foreign workers are different from our culture, education and training programs should be fully prepared. Therefore, while training foreign workers, there should be a concept of "intercultural training." Because data analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. Therefore, this study will focus on "intercultural training" for foreign workers. This study used relationship analysis, factor analysis and regression analysis as statistical tools. The study found that ethnic cultural differences and cross-cultural training have had a positive impact on overseas adoption of foreign workers. This research hopes that this research can provide better education, training, acceptance, and more reference for government, enterprises, human resources agents and other related units to find comparable work talents.
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