Tien Hoang Nguyen

Prof. Dr. Tien Hoang Nguyen

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 April 2024 in Heliyon
Verified
Journal Article
Open access
TNTien Hoang Nguyen
Tien Hoang Nguyen
ALAi Ngoc Nhan Le
Ai Ngoc Nhan Le
HLHoi Vu Le
Hoi Vu Le
KDKhoa Dang Duong
Khoa Dang Duong
This study analyzes the impact of Foreign Direct Investment and labor quality on employment in 29 Asia-Pacific nations from 1990 to 2020. We employ the Dynamic System Generalized Method of Moments to estimate the results. This study finds that a ten percent increase in Foreign Direct Investment creates an additional 0.890 % in employment, and a percent increase in labor quality increases employment by 0.0021 %. Our study also figures a moderating role of labor quality and FDI on employment in Asia Pacific countries. Our findings are robust before and after the recent financial crisis and alternative regression method. Finally, the findings are robust even if we employ an alternative estimation method. Our results are consistent with the Traditional FDI, the Neo-classical, and Resource-Based View theories. Our research generates practical policy implications to develop employment sustainably in Asia-Pacific nations.

18 August 2023 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
WJWang Jinliang
Wang Jinliang
Massoud MoslehpourMassoud Moslehpour
Massoud Moslehpour
TTTrung Kien Tran
Trung Kien Tran
BTBushra Tufail
Bushra Tufail
GDGia Luat Diep
Gia Luat Diep
TNTien Hoang Nguyen
Tien Hoang Nguyen

30 March 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
LTLe Toan
Le Toan
TNTien Hoang Nguyen
Tien Hoang Nguyen
DPDuy Khanh Pham
Duy Khanh Pham
The development of the Industrial Revolution 4.0 has far-reaching effects on all aspects of life, the economy, and society, bringing various growth opportunities for businesses. However, businesses are still hesitant to apply these new technologies. On a research sample from a survey of 396 Vietnamese enterprises, the study uses the SEM-neural network method to determine the relationship and importance of five groups of factors affecting the firms’ Industry 4.0 technologies adoption. The results suggest that five groups of factors, including Perceived characteristics, Technological competencies, CEO characteristics, Environmental characteristics, and Subjective Norms, all positively and significantly impact the Industry 4.0 technologies adoption in Vietnam. In particular, Technological competencies are the most influential factors according to the SEM method, while Subjective norms factors have the most decisive impact according to the neural-network method. Moreover, the research also found that adopting Industry 4.0 technologies depends on different company characteristics, such as age, size, status, and industry.

23 September 2024 in Environmental Science and Pollution Research
Verified
Journal Article
Open access
PDF file
WJWang Jinliang
Wang Jinliang
Massoud MoslehpourMassoud Moslehpour
Massoud Moslehpour
TTTrung Kien Tran
Trung Kien Tran
BTBushra Tufail
Bushra Tufail
GDGia Luat Diep
Gia Luat Diep
TNTien Hoang Nguyen
Tien Hoang Nguyen