• 디지털융복합연구
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• 제16권6호
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• pp.1-8
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• 2018

이 논문의 목적은 첫째 온라인에서 학습활동을 하는 e-러닝 이용자의 사후 태도에 영향을 미치는 선행요인을 파악하고, 어떤 요인들이 사후태도에 주로 영향을 미치는가를 파악하는 것이다. 둘째, 한국, 베트남, 싱가폴의 e-러닝 사용자들을 조사 대상으로 하여 3개국 간에 사회적, 문화적, 지리적 차이에 따라 e-러닝과 관련된 선행요인과 사후태도에 유의한 차이가 있는가를 파악하는 것이다. 이 논문에서는 ANOVA 기법을 사용하여 e-러닝 선행요인에 차이가 있는지 확인했으며, 회귀분석을 통하여 3개 국가별로 어떠한 선행요인이 e-러닝 후행요인에 영향을 주는지 밝히고, 국가간 차이를 확인하였다. 분석결과 국가간에 선행요인에 차이가 있었으며, 각 국가별로 e-러닝 후행요인에 영향을 미치는 선행요인도 차이를 발견할 수 있었다. 발견된 국가별 차이점은 각국의 e-러닝 사업 실무자에게 의미있는 시사점을 제공할 수 있다. 향후 조사대상을 초중고생에까지 확대 연구할 수 있을 것이다.

• 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.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.311-321
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• 2020

This paper aims to investigate the effect of the factors on the e-invoice at its infant stage of adoption in the context of Vietnam. Data were collected by using a questionnaire delivered to 318 participants who are managers and accountants of companies in Vietnam from June to September 2019. The statistical methods approaches are employed to address the research issues including Cronbach's Alpha testing, Explanatory Factor Analysis (EFA), and Confirmation Factor Analysis (CFA). Then, Structural Equation Modeling (SEM) is employed to assess the proposed hypotheses model of e-invoice adoption in Vietnam. The research findings showed that direct factors have a statistically significant impact on the e-invoice adoption towards behavior, and perceived behavioral control. Perceived usefulness and perceived ease-of-use positively affect attitude towards the behavior. These factors, in turn, are impacted by perceived compatibility. Based on the research results, some practicable suggestions are proposed in order to boost the number of Vietnamese enterprises voluntarily adopting e-invoice. This study indicates the important impacts of the user's attitude and perception about control ability on intention to use. In addition, some key intuitive recommendations were proposed aiming to improve the success of the e-invoice adoption of enterprises in the context of Vietnam.