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Impact of Psychological Capital on Job Performance and Job Satisfaction: A Case Study in Vietnam
Trung Thanh NGO 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.5
Business leaders have made great efforts to increase their organizations’ competitive capability, and raising employees’ job performance is considered as one of the essential solutions. Thus, it is vital to properly identify factors that affect the job performance since this will be the basis for managers to propose recommendations to increase employees’ job performance. The study seeks to investigate the relationships between psychological capital, job satisfaction, and job performance of employees in Vietnam, a developing country in South-East Asia. In this study, psychological capital is considered as a high-order construct. The mixed research method is used in this study. Qualitative research method is used to form the official survey questionnaire. Quantitative research method is used for investigating the relationships between concepts. Research data are collected from 848 interviewees via both face-to-face and email surveys. The findings show that psychological capital has positive relationships with job satisfaction and job performance. Job satisfaction also has a positive impact on job performance. In particular, job satisfaction shows the mediating role in the impact of employees’ psychological capital on their job performance. Based on the results, the study also provides recommendations related to psychological capital and job satisfaction assisting managers to increase employees’ job performance.
Design and implementation of an automated, long-range selfie camera system using LORA
Trung-Thanh Ngo,Dong-Seong Kim 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
This paper proposes an automated, long-range selfie camera system using LORA (LORA-SELFIE). LORASELFIE addresses the FOV problem of smart phone cameras by enabling users to take selfies and landscape photos automatically from a distance. On LORA-SELFIE, a wireless sensor network is used to track users presence at designated shooting spots. If a user is not found at the designated spot, LORA-SELFIE goes to sleep mode to save energy. Moreover, the operating range of LORA-SELFIE can be extended easily by adding more relay nodes to the network. Experimental results show that LORA-SELFIE solves the FOV problem and is even better than an existing commercial system in terms of energy-consumption, and processing time.
Accuracy Improvement of Impedance Matching Network Design for Acousto-Optic Tunable Filters
Thanh Dat Nguyen(웬탄닷),Chi Trung Ngo(오치충),Seungbum Baek(백승범),Jong-Phil Hong(홍종필) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
This paper presents a method of improving accuracy in designing impedance matching network for Acousto-Optic Tunable Filters (AOTF) by considering the effect of wire connection. The measured gain S21 of implemented impedance matching network has a BW- 6dB of 49% from 17.54 to 28.95 MHz by applying this method.
Post-Processing Techniques for True Random Number Generator
Tran Thanh An(잔 타잉 안),Ngo Chi Trung(오치충),Jae-Hyun Lee(이재현),Jong-Phil Hong(홍종필) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
This paper is presented using the post-processing techniques to improve the randomness of TRNG. After applying the post-processing techniques, randomness of TRNG is improved and all sub-test evaluating randomness of NIST SP 800-22 are passed.
Determinants of Vietnam Government Bond Yield Volatility: A GARCH Approach
TRINH, Quoc Trung,NGUYEN, Anh Phong,NGUYEN, Hoang Anh,NGO, Phu Thanh Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.7
This empirical research aims to identify the relationship between fiscal and financial macroeconomic fundamentals and the volatility of government bonds' borrowing cost in an emerging country - Vietnam. The study covers the period from July 2006 to December 2019 and it is based on a sample of 1-year, 3-year, and 5-year government bonds, which represent short-term, medium-term and long-term sovereign bonds in Vietnam, respectively. The Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) model and its derivatives such as EGARCH and TGARCH are applied on monthly dataset to examine and suggest a significant effect of fiscal and financial determinants of bond yield volatility. The findings of this study indicate that the variation of Vietnam government bond yields is in compliance with the theories of term structure of interest rate. The results also show that a proportion of the variation in the yields on Vietnam government bonds is attributed to the interest rate itself in the previous period, base rate, foreign interest rate, return of the stock market, fiscal deficit, public debt, and current account balance. Our results could be helpful in the macroeconomic policy formulation for policy-makers and in the investment practice for investors regarding the prediction of bond yield volatility.