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The Effect of Prior Financial Performance on Organizational Reputation and Earnings Management
Quang Linh HUYNH,Nguyen Van NGUYEN2 한국유통과학회 2019 The Journal of Asian Finance, Economics and Busine Vol.6 No.4
The paper aims to investigate the linkage among prior financial performance, organizational reputation and earnings quality. Firstly, it examines the influence of prior financial performance on organizational reputation and on earnings quality. Secondly, this research explores the moderating role that prior financial performance plays in the causal relationship from organizational reputation to earnings quality. Thirdly, the mediating role of organizational reputation in the effect of prior financial performance on earnings quality is analyzed. The empirical findings show that, prior financial performance positively affects both earnings quality and organizational reputation that in turn partly mediates the causal connection from prior financial performance to earnings quality; whereas prior financial performance imposes a positive moderation in the influence of organizational reputation on earnings quality. This research is expected to provide scholars and practitioners with a thorough understanding of the complex link among prior financial performance, organizational reputation and earnings quality. That helps them to deliver good decisions on the investment of suitable resources in maintaining and enhancing their organizational reputation, which assures a higher quality of reported earnings that in turn improves involved stakeholders’ confidence in their firm. This likely leads the firms to gain better performance in the future.
Determinants Influencing Housing-Option Decision of Gen Y: The Case of Vietnam
Ha Thu LUONG(Ha Thu LUONG ),Dung Manh TRAN(Dung Manh TRAN ),Dan Linh Ngoc NGUYEN(Dan Linh Ngoc NGUYEN ),Van Bao NGUYEN(Van Bao NGUYEN ),Anh Thuc LE(Anh Thuc LE ),Hieu Van PHAM(Hieu Van PHAM ) 한국유통과학회 2023 유통과학연구 Vol.21 No.7
Factors Affecting Online Payment Method Decision Behavior of Consumers in Vietnam
NGUYEN, Thi Phuong Linh,NGUYEN, Van Hau Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.10
E-commerce development led to the explosion of online payment. Consumers have many choices when deciding on the online payment method for each transaction. Using a combination of both qualitative and quantitative methods with the help of SPSS AMOS version 22.0, the article explores the factors that influence consumers' online payment method decision behavior in Vietnam. Research results show that awareness of usefulness, awareness of risk, awareness of trust, awareness ease of use, product uncertainly perception and perceived behavioral control have effects on the behavior of deciding on online payment methods. Awareness of risk has the strongest negative impact on online payment method decision behavior and awareness of usefulness has the strongest positive impact on online payment method decision behavior. Based on these important results, the article proposes a number of implications: (i) continuing to invest and upgrade modern technology to ensure customer information absolutely confidential; (ii) converting all ATM cards on the market to EMV chip standard card technology; (iii) improving service activities, quickly handle things to create confidence for customers; (iv) credit institutions operating in the field of online payment linked to e-commerce sites, supermarkets, convenience stores, restaurants must ask partners to increase transparency for the products.
NGUYEN, Van Hau,NGUYEN, Thi Phuong Linh Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.10
The purpose of this paper is to investigate the factors influencing the Vietnamese farmers' intention to accept organic farming based on the theory of planned behavior (TPB). After in-depth interviews with five agricultural researchers and five farmers, the authors have identified a formal research model and built a complete survey. Data were collected from 318 farmers in Hanoi, Vietnam, by surveying directly at their homes or farms. Statistical methods, such as Cronbach's alpha, exploratory factor analysis (EFA) and linear regression analysis, were used to analyze the data with the help of SPSS 22.0 and AMOS 24.0. The results show that attitudes, subjective norms, and perceived behavioral control have a positive influence on farmers' intention to accept organic farming in Vietnam. Based on the degree of impact of these factors, the authors give a few suggestions to state management agencies to promote the intention to accept organic farming in Vietnam: (i) increasing awareness of the difference between organic farming and conventional farming, the role of organic farming in health and the environment; (ii) increasing the activities of guiding the organic farming practices and facilitating the farmers to access these guides through many channels; and (iii) holding sessions to share practices in organic farming practices.
Nguyen Hoang Linh,Nguyen Minh Son,Tran The Quang,Nguyen Van Hoi,Vuong Thanh,Do Van Truong Materials Research Society of Korea 2023 한국재료학회지 Vol.33 No.5
This study uses first-principles calculations to investigate the mechanical properties and effect of strain on the electronic properties of the 2D material 1H-PbX<sub>2</sub> (X: S, Se). Firstly, the stability of the 1H Pb-dichalcogenide structures was evaluated using Born's criteria. The obtained results show that the 1H-PbS<sub>2</sub> material possesses the greatest ideal strength of 3.48 N/m, with 3.68 N/m for 1H-PbSe<sub>2</sub> in biaxial strain. In addition, 1H-PbS<sub>2</sub> and 1H-PbSe<sub>2</sub> are direct semiconductors at equilibrium with band gaps of 2.30 eV and 1.90 eV, respectively. The band gap was investigated and remained almost unchanged under the strain ε<sub>xx</sub> but altered significantly at strains ε<sub>yy</sub> and ε<sub>bia</sub>. At the fracture strain in the biaxial direction (19 %), the band gap of 1H-PbS<sub>2</sub> decreases about 60 %, and that of 1H-PbSe<sub>2</sub> decreases about 50 %. 1H-PbS<sub>2</sub> and 1H-PbSe<sub>2</sub> can convert from direct to indirect semiconductor under the strain ε<sub>yy</sub>. Our findings reveal that the two structures have significant potential for application in nanoelectronic devices.
Nguyen, Tuan Lam,Pham, Thi Quynh Nga,Hoang, Van Minh,Kim, Bao Giang,Phan, Thi Hai,Doan, Thu Huyen,Nguyen, Thuy Linh,Duong, Khanh Van,Luong, Ngoc Khue Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.no.sup1
Second-hand tobacco smoke (SHS) exposure at home, especially among children, is a serious issue in Viet Nam. During the past decade, much effort has been taken for tobacco control in the country, including various prgorammes aiming to reduce SHS exposure among adults and children. This article analysed trends and factors associated with SHS exposure at home among school children aged 13-15 in Viet Nam, using the Global Youth Tobacco Surveys conducted in 2007 and 2014. Descriptive and inferential statistical methods with logistic regression were applied. Overall, there was a significant reduction in the level of exposure, from 58.5% (95%CI: 57.6-59.3) in 2007 to 47.1% (95%CI: 45.4-48.8) in 2014. Of the associated factors, having one or both parents smoking was significantly associated with the highest odds of SHS exposure at home (OR=5.0; 95%CI: 4.2-6.1). Conversely, having a mother with a college or higher education level was found to be a protective factor (OR=0.5; 95%CI: 0.3-0.8).
Van Thanh, Nguyen,Jang, Hyun-Jae,Vinh, Le Ba,Linh, Kieu Thi Phuong,Huong, Phan Thi Thanh,Cuong, Nguyen Xuan,Nam, Nguyen Hoai,Van Minh, Chau,Kim, Young Ho,Yang, Seo Young Elsevier 2019 Bioorganic chemistry Vol.88 No.-
<P><B>Abstract</B></P> <P>In a search for anti-inflammatory activity in resources from Vietnamese mangroves, we found that a methanolic extract from the leaves of <I>Calophyllum inophyllum</I> (CIL) showed significant anti-inflammatory effects <I>in vitro</I>. Using various chromatographic techniques, we subsequently isolated 12 compounds (<B>1</B>–<B>12</B>) from a methanolic extract of CIL, including two novel compounds (<B>1</B>–<B>2</B>). The inhibitory effects of these compounds on lipopolysaccharide-induced nitric oxide (NO) production in RAW264.7 cells were also evaluated. Compound <B>1</B> significantly suppressed NO production (IC<SUB>50</SUB> = 2.44 ± 0.88 µM), the secretion of pro-inflammatory cytokines (including interleukin-1 beta and tumor necrosis factor alpha), and the expression of inducible nitric oxide synthase through downregulation of nuclear factor-kappa-B signaling cascades. These results suggest that <I>C. inophyllum</I> leaves might be a useful resource for the development of drugs for the treatment of inflammation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Twelve compounds were isolated from Vietnamese mangrove <I>Calophyllum inophyllum</I>. </LI> <LI> Two new compounds <B>1</B> and <B>2</B> were determined by spectroscopic methods. </LI> <LI> Compound <B>1</B> showed significant anti-inflammatory activity. </LI> <LI> These results suggested that <I>C. inophyllum</I> might useful as the anti-inflammation drug. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Deep Learning-based Approach to Smart Factory
Van Quan Nguyen,Linh Van Ma,Jinsul Kim 한국정보기술학회 2018 Proceedings of KIIT Conference Vol.2018 No.6
스마트 제조는 수집, 분석, 시각화 및 의사 결정에서의 시스템 성능 향상을 의미합니다. 우리는 장치 기반 및 네트워크 기반 기술뿐만 아니라 센서 데이터 조작에 있어 고급 프로세스를 시작하기 위해 기계 학습을 널리 사용하는 것을 목격 해 왔습니다. 이 글에서는 산업용 시스템의 센서 데이터를 분석하기위한 LSTM 아키텍처 기반의 반복적 인 신경망을 제시합니다. 시계열 데이터는 타임 라인에 따라 개체의 상태에 반영되기 때문에 많은 시스템에서 중요한 부분이 되었습니다. 왜 우리가 반복적 인 신경망을 데이터의 순서를 탐색하는 솔루션으로 사용하는지에 대한 주된 이유. LSTM 신경 회로망의 응용을 증명하기 위해 이상 검출 알고리즘을 제안하고 여러 데이터 집합에서 수행한다. Smart manufacturing refers to using advanced techniques in collecting, analyzing, visualization and decision making in management to improve system’s performance. We have been witnessing the widespread of machine learning to launch advanced process in the manipulation of sensor data as well as managing devices and productions based on network technologies. This article presents recurrent neural network with LSTM architecture-based approach to analyzing sensor data for the industrial system. Using time series data has become a critical part of many systems because this explored information reflect the state of objects according to the timeline. This is the major reason why we use Recurrent Neural Networks as a solution to explore the sequence of data. In order to prove the application of LSTM neural network, anomaly detection algorithm is proposed and perform on time series datasets.