{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T03:00:14Z","timestamp":1760151614287,"version":"build-2065373602"},"reference-count":50,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,3,24]],"date-time":"2022-03-24T00:00:00Z","timestamp":1648080000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Axioms"],"abstract":"<jats:p>Labor exports are currently considered among the most important foreign economic sectors, implying that they contribute to a country\u2019s economic development and serve as a strategic solution for employment creation. Therefore, with the support of data collected between 1992 and 2020, this paper proposes that labor exports contribute significantly to Vietnam\u2019s socio-economic development. This study also aims to employ the Backpropagation Neural Network (BPNN), k-Nearest Neighbor (kNN), and Random Forest Regression (RFR) models to analyze labor migration forecasting in Taiwan, Korea, and Japan. The study results indicate that the BPNN model was able to achieve the highest accuracy regarding the actual labor exports. In terms of these accuracy metrics, this study will aid the Vietnamese government in establishing new legislation for Vietnamese migrant workers in order to improve the nation\u2019s economic development.<\/jats:p>","DOI":"10.3390\/axioms11040151","type":"journal-article","created":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T00:05:18Z","timestamp":1648166718000},"page":"151","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Towards Predictive Vietnamese Human Resource Migration by Machine Learning: A Case Study in Northeast Asian Countries"],"prefix":"10.3390","volume":"11","author":[{"given":"Nguyen Hong","family":"Giang","sequence":"first","affiliation":[{"name":"Faculty of Architecture, ThuDauMot University, ThuDauMot 820000, Vietnam"},{"name":"Department of Civil Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5697-0722","authenticated-orcid":false,"given":"Tien-Thinh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Department of International Business, National Kaohsiung University of Science and Technology, Kaohsiung 82445, Taiwan"}]},{"given":"Chac Cau","family":"Tay","sequence":"additional","affiliation":[{"name":"Department of Business Administration, Southern Taiwan University of Science and Technology, Tainan 71005, Taiwan"},{"name":"Shenghua Marketing Co., Ltd., Kaohsiung 814026, Taiwan"}]},{"given":"Le Anh","family":"Phuong","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Hue University of Education, Hue University, Hue 49118, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8559-0868","authenticated-orcid":false,"given":"Thanh-Tuan","family":"Dang","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/S0148-2963(97)00196-3","article-title":"Tourism, Competitiveness, and Societal Prosperity","volume":"44","author":"Crouch","year":"1999","journal-title":"J. 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