• The Journal of Asian Finance, Economics and Business
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• 제7권5호
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• pp.81-90
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• 2020

This study investigates the nexus between the level of Corporate Social Responsibility Disclosures (CSRD) and Risk of Bankruptcy of companies that are listing in the Stock Exchanges of Vietnam. To investigate that relationship, this study collected secondary data from annual audited financial statements from 2014 to 2018 of listing companies. Applying two different regression models with two dependent variables and six independent and control variables, we find out that Vietnamese firms with higher level of CSRD performance can rapidly reduce their risk of bankruptcy. This phenomenon happens in the current year and in the coming years in all firms in the research sample. This result may be that the disclosures of social responsibility information can bring financial and non-financial benefits to the firms. In addition, the results also point out that there is a difference in risk of bankruptcy between the group of companies, which discloses and the one which does not disclose corporate social responsibility on their annual reports. This might be from the effects of various factors such as business size, financial leverage, market to book ratio, return on assets, cash flow from operations, etc. Our research results can be applied to other firms in Vietnam and in other similar jurisdictions.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.1201-1213
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• 2021

This paper describes the intent of learners to acquire university education, the basis for selecting study courses, the means to assess the quality of higher education, what the challenges faced by the learners are, as well as suggestions for improvement. The design and system thinking approach has been adapted to address the well-being issues of B40 young people in Bangladesh, through understanding their need, followed by building conceptual business models using modeling tools, i.e., Business Model Canvas (BMC) and Value Proposition Canvas (VPC) model. The main objective of this paper is to investigate the contribution and the role of a Malaysian University to solve problems of quality of higher education in Bangladesh and what initiatives should be taken to overcome this problem. This paper offers a validated conceptual Malaysian University of the Future (UotF) business model with the focus on international community engagement programs to help Bangladeshi students to acquire knowledge, abilities, skills, and values toward developing a harmonious and sustainable society. The contribution of this paper is the presentation of a conceptual, validated business model in both BMC and VPC formats. This conceptual business model can further be applied to civic engagement operations by other universities.

• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.183-194
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• 2022

The objective of this article is to assess the impact of corporate social responsibility (CSR) implementation on Corporate Brand Value (CBV) and Corporate Financial Performance (CFP). At the same time, the article examines the mediated role of CBV on the relationship between CSR implementation and CFP. In-depth interviews and observation techniques were used in this article on 4 experts to collect qualitative information. Quantitative analysis was based on primary data obtained from 454 employees working at enterprises providing Bancassurance services. The article uses various models of Cronbach's Alpha coefficient, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Analysis (SEM) using SPSS 22.0 and AMOS 20.0 software. In addition, a 5-point Likert scale is used to measure observed variables. Research results show that CBV plays an intermediate role in the relationship between CSR implementation and CFP. At the same time, the implementation of CSR toward communities, customers, and workers directly impacts CBV and CFP. The article draws a new conclusion; there is no relationship found between the implementation of CSR and CFP. The result proposes implications for the state and Bancassurance service providers to develop and implement CSR-related policies and activities to enhance their brand value and financial performance.

• 기술혁신연구
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• 제9권2호
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• pp.1-16
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• 2001

Technology transfer is recognized as a critical issue to strengthen industri competitiveness in today's global and knowledge-based economies. The vertical transfer of technology from R&D labs to industries is becoming more emphasized than the horizontal company-to-company transfer of commercialized technology. The network and cooperation among technology transfer intermediaries are becoming more important with the increasing demand of the comprehensive technology transfer services. This paper presents the configuration models for technology transfer from universities and research institutes to industries. The configuration models are classified and discussed from the viewpoint of information flow, and also technology and knowledge transfer.

• Journal of Information Processing Systems
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• 제17권1호
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• pp.163-177
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• 2021

Many methods of discovering social networking communities or clustering of features are based on the network structure or the content network. This paper proposes a community discovery method based on topic models using a time factor and an unsupervised clustering method. Online community discovery enables organizations and businesses to thoroughly understand the trend in users' interests in their products and services. In addition, an insight into customer experience on social networks is a tremendous competitive advantage in this era of ecommerce and Internet development. The objective of this work is to find clusters (communities) such that each cluster's nodes contain topics and individuals having similarities in the attribute space. In terms of social media analytics, the method seeks communities whose members have similar features. The method is experimented with and evaluated using a Vietnamese corpus of comments and messages collected on social networks and ecommerce sites in various sectors from 2016 to 2019. The experimental results demonstrate the effectiveness of the proposed method over other methods.

• Ocean and Polar Research
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• 제37권4호
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• pp.357-368
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• 2015

This study analyzed structural changes and asymmetry of price volatility during the period before and after a point of structural change in price volatility, using the Korean fresh common squid daily retail price data from January 1, 2004 to September 30, 2015. This study utilized the following analytical methods: the unit-root test was applied to ensure the stability of the data, the Quandt-Andrews breakpoint test was applied to find the point of structural change, and the Glosten-Jagannathan-Runkle GARCH and EGARCH models were applied to investigate the asymmetry of price volatility. The empirical results of this study are as follows. First, ADF, PP, KPSS and Zivot-Andrews tests showed that the daily retail price change rate of the Korean fresh common squid differentiated by logarithm was stable. Secondly, the ARIMA (2,1,2) model was selected by information criteria such as AIC, SC, and HQ. Thirdly, the Quandt-Andrews breakpoint test found that a single structural change in price volatility occurred on June 11, 2009. Fourthly, the Glosten-Jagannathan-Runkle GARCH and EGARCH models showed that estimates of coefficients within the models were statistically significant before and after structural change and also that asymmetry as a leverage effect existed before and after structural change.

• Asian Journal of Business Environment
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• 제6권4호
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• pp.5-12
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• 2016

Purpose - Not all firms are able to completely eliminate the risk arising out of the crisis. Success hides in the ability to perceive the market expectations accurately and take correct decisions. This study aims to analyze the firms' decisions at gross-root level. Research Design, Data, and Methodology - Primary data is obtained with the help of specially designed questionnaires from the agriproducts export firms that are members of export union of Turkey. The study is based on four theoretical structures: general planned behavior theory model, perception-leading behavior control and subjective norm model, perceived-behavioral-control leading perception and subjective norm models, and perceptions and subjective norms leading behavior control model. Structural Equation Models (SEM) is used to conduct the empirical analysis. Results - The findings show perceptions and subjective norms leading behavior control model as the best one, concluding that the environmental pressures and positive perceptions have significant effect on the strategic decisions of the agriproducts export firms. Conclusion - Policy tools like creating positive perception in the markets, providing sufficient information and financial support to the firms and increasing market competition can be used effectively to achieve the said objective.

• 정보기술응용연구
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• 제1권
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• pp.173-211
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• 1999

The task of classification permeates all walks of life, from business and economics to science and public policy. In this context, nonlinear techniques from artificial intelligence have often proven to be more effective than the methods of classical statistics. The objective of knowledge discovery and data mining is to support decision making through the effective use of information. The automated approach to knowledge discovery is especially useful when dealing with large data sets or complex relationships. For many applications, automated software may find subtle patterns which escape the notice of manual analysis, or whose complexity exceeds the cognitive capabilities of humans. This paper explores the utility of a collaborative learning approach involving integrated models in the preprocessing and postprocessing stages. For instance, a genetic algorithm effects feature-weight optimization in a preprocessing module. Moreover, an inductive tree, artificial neural network (ANN), and k-nearest neighbor (kNN) techniques serve as postprocessing modules. More specifically, the postprocessors act as second0order classifiers which determine the best first-order classifier on a case-by-case basis. In addition to the second-order models, a voting scheme is investigated as a simple, but efficient, postprocessing model. The first-order models consist of statistical and machine learning models such as logistic regression (logit), multivariate discriminant analysis (MDA), ANN, and kNN. The genetic algorithm, inductive decision tree, and voting scheme act as kernel modules for collaborative learning. These ideas are explored against the background of a practical application relating to financial fraud management which exemplifies a binary classification problem.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권2호
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• pp.767-785
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• 2021

With the rapid development of information technology, it is now possible to analyze the spatial patterns of cultivated land and its evolution by combining GIS, geostatistical analysis models and spatiotemporal big data for the dynamic monitoring and management of cultivated land resources. The spatial pattern of cultivated land and its evolutionary patterns in Luoyang City, China from 2009 to 2019 were analyzed using spatial autocorrelation and spatial autoregressive models on the basis of GIS technology. It was found that: (1) the area of cultivated land in Luoyang decreased then increased between 2009 and 2019, with an overall increase of 0.43% in 2019 compared to 2009, with cultivated land being dominant in the overall landscape of Luoyang; (2) cultivated land holdings in Luoyang are highly spatially autocorrelated, with the 'high-high'-type area being concentrated in the border area directly north and northeast of Luoyang, while the 'low-low'-type area is concentrated in the south and in the municipal area of Luoyang, and being heavily influenced by topography and urbanization. The expansion determined during the study period mainly took place in the Luoyang City, with most of it being transferred from the 'high-low'-type area; (3) elevation, slope and industrial output values from analysis of the bivariate spatial autocorrelation and spatial autoregressive models of the drivers all had significant effects on the amount of cultivated land holdings, with elevation having a positive effect, and slope and industrial output having a negative effect.

• 정보관리연구
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• 제25권1호
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• pp.63-79
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• 1994

일본(日本)의 경제(經濟) 산업(産業) 분야의 분석(分析) 시스템 및 데이터베이스 역사는 장구하나, 전문성(專門性)이 강하여 이용자(利用者)가 한정되었다. 시스템 서비스가 본격화 된 것도 얼마되지 않는다. 본고(本稿)에서는 이 시스템 서비스의 대표적인 것을 해설하였다. 활용예(活用例)에 관해선 금리예측(金利豫測)을 예로 하여 도입(導入) 활용(活用) 상(上)의 유의점에 관해서도 설명하였다. 그밖에 신문정보(新開情報)의 확인에서 보다 고도의 것으로서 경제예측(經濟豫測)이나, 경제예측(經濟豫測)을 기반으로 한 각종 모델의 이용과 산업분석(産業分析)에 관해서도 다루었다. 조사(調査)나 연구(硏究)는 상호작용의 부분이 많아서 평상시부터 시스템에 익숙해야 하며, 이용자끼리 정보를 교환하고, 기회가 있을 때마다 헬프데스크를 활용하는 등 꾸준한 노력이 필요하다.