• Structural Monitoring and Maintenance
• /
• v.7 no.4
• /
• pp.345-365
• /
• 2020

At present, many machine leaning and data mining methods are used for analyzing and predicting structural response characteristics. However, the platform that combines big data analysis methods with online and offline analysis modules has not been used in actual projects. This work is dedicated to developing a multifunctional Hadoop-Spark big data platform for bridges to monitor and evaluate the serviceability based on structural health monitoring system. It realizes rapid processing, analysis and storage of collected health monitoring data. The platform contains offline computing and online analysis modules, using Hadoop-Spark environment. Hadoop provides the overall framework and storage subsystem for big data platform, while Spark is used for online computing. Finally, the big data Hadoop-Spark platform computational performance is verified through several actual analysis tasks. Experiments show the Hadoop-Spark big data platform has good fault tolerance, scalability and online analysis performance. It can meet the daily analysis requirements of 5s/time for one bridge and 40s/time for 100 bridges.

• The Journal of the Korea Contents Association
• /
• v.20 no.11
• /
• pp.145-156
• /
• 2020

Recently, as a culture that values work-life balance has become more important in society as a whole, interest in hobbies and leisure activities that will enrich life is increasing. This phenomenon is due to an increase in platforms where people can enjoy and learn hobbies online. Among them, craft-related content is growing rapidly, and as offline education has been brought online, learning immersion has been reduced online. Therefore, in this study, we want to identify current problems in online and offline craft learning and seek ways to improve UI design to solve them. To this end, we conducted a literature survey on the online learning platform, online craft learning platform and UI design, and based on this, conducted case investigation and analysis to derive the third stage of the learning process of the online craft learning platform. Subsequent surveys showed that as a result, the online craft learning platform was able to find improvements in terms of differentiating the content exploration process, visualizing the craft progress stage, ease of working with video tools, and providing smooth feedback, and in addition to the need for a device for active learning. Through the results of this study, we hope to expand the craft content market by making it easier for users to enjoy the contents provided on the online craft learning platform.

• The Journal of Information Systems
• /
• v.31 no.2
• /
• pp.111-136
• /
• 2022

Purpose The purpose of this study is to examine the effect that insecurity and autonomy of platform work have an influence on work-life balance and psychological well-being in an era of platform economy based on two characteristics of online platform work and self-determination theory. Design/methodology/approach This study suggested the structural equation model integrating two antecedents, insecurity and autonomy, work-life balance, and psychological well-being and proposed five hypotheses driven from the research model. A total of 334 valid samples were collected from platform workers by employing questionnaire including 24 question items of four constructs. Findings Three hypotheses were supported and one hypothesis was not supported at the significance level of 0.05. Insecurity of platform work has a negative influence on work-life balance at the significance level of 0.01, whereas insecurity of platform work has no a significant influence on psychological well-being. Autonomy of platform work has a positive influence on both work-life balance and psychological well-being at the significance level of 0.01. Work-life balance has a positive impact on psychological well-being at the significance level of 0.001. Insecurity have an influence on psychological well-being indirectly through mediation of work-life balance. Implications for academicians and practitioners were suggested.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.8
• /
• pp.2732-2748
• /
• 2021

In post-COVID-19 pandemic era, students' learning effects and experience may sharply decrease when teaching is transferred from offline to online. Several tools suitable for online teaching have been developed to guarantee and promote students' learning effects. However, they cannot fully consider teacher-student interaction in online teaching. To figure out this issue, this paper proposes integrated media platform-based virtual office hours implementation for online teaching. Specifically, an integrated media platform (IMP) is first constructed. Then, virtual office hours (VOH) is implemented based on the IMP, aiming at increasing student-teacher interactions. For evaluating the effectiveness of this scheme, 140 undergraduate students using IMP are divided into one control group and three experimental groups that respectively contain text, voice and video modes. The experiment results indicate that applying VOH in the IMP can improve students' online presence and test scores. Furthermore, students' participating modes during VOH implementation can largely affect their degree of presence, which can be well classified by using principal component analysis. The implication of this work is that IMP-based VOH is an effective and sustainable tool to be continuously implemented even when the COVID-19 pandemic period ends.

• Korea Trade Review
• /
• v.47 no.3
• /
• pp.93-110
• /
• 2022

This study aims to develop online convention service quality and examine the effect of online convention service quality on re-participation intention in the same convention and other types of online conventions. Based on an extensive literature review, the study chose five main factors of online convention service quality: human service, program service, platform service, platform aesthetics, and interaction. A total of 284 data were collected from online convention participants from July 26 to August 6, 2021. For the hypotheses test, multiple regression analysis was used. As a result, interaction and program service quality had positive effects on re-participation intention in the same convention, but except for platform aesthetic, all factors positively affected re-participation intention in other types of online conventions. This study also found that online service quality factors are more helpful in predicting the intention of re-participation in other types of online conventions rather than re-participation in the same convention. Based on the results, theoretical and practical implications were discussed

• The Journal of the Korea Contents Association
• /
• v.22 no.6
• /
• pp.342-353
• /
• 2022

This study aims to help revitalize the real-time online education platform market by analyzing the instructor characteristics, content characteristics, and platform characteristics of real-time online education platforms for local learners in China. A total of 670 questionnaires were collected through an online survey and an empirical analysis was conducted. As a result of the analysis, first, except for attractiveness, which is the characteristic of the instructor, professionalism and sincerity had a significant positive influence on both learning satisfaction. Second, the usefulness, abundance, and appropriateness of content characteristics had a significant positive influence on learning satisfaction. Third, except for interaction, which is a platform characteristic, technology and convenience confirmed a significant positive influence relationship on both learning satisfaction. Fourth, learning satisfaction had a significant positive effect on the intention to continue using. This study presented practical implications for real-time online education platform and future research directions.

• 한국벤처창업학회:학술대회논문집
• /
• 2017.08a
• /
• pp.37-47
• /
• 2017

The digital multi-sided platform has led the growth of industries. Accelerating this growth, generativity allowed innovation based on boundary-less modularity. Online games are a rich source of research but most of the research is dedicated in examining only the online game itself. However, there is a growing need to understand online games in an ecosystem level for a new phase of evolution is starting based on generativity. With generativity, online game users now make new graphics and quest that can be added and shared to the already existing game environment. The ecosystem is moving towards finding an amicable multi-sided distribution platform for these user generated game contents. Preliminary data suggest the possibility of actual connection between generativity and users' game engagement. Interviews and surveys will be prepared to find out the details of the possible relationship and how the ecosystem will shape accordingly.

• The Journal of the Korea Contents Association
• /
• v.20 no.4
• /
• pp.181-188
• /
• 2020

Many areas are on the verge of disappearing soon due to low birth rates and an increasing number of elderly people. To overcome this crisis, efforts must be made to escape the destruction of the area through the village community. This study was conducted to find out the use of online platforms for village communities and through literature research, current status surveys, and surveys, we wanted to find out how online platforms are being utilized. The study results are summarized as follows. First, urban renewal support projects are currently being conducted under the government-led initiative to revitalize the village community, and online platforms are being used mainly by local governments' urban renewal support centers. Second, if you look at the frequency of online platform usage by ordinary people, you are using Naver the most in all age groups, and next, you are using the website. People in their 20s and 30s use Instagram more than Facebook, while those in their 40s and 50s use Facebook more than Instagram. In utilizing the online platform for the village community, the status and frequency of use of the online platform should be taken into account comprehensively.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.4
• /
• pp.173-183
• /
• 2020

This study has four objectives: (1) Identifying factors that affect customer satisfaction on online service quality of Tiki.vn, (2) Measuring the level of impact of the factors, (3) Testing the difference in satisfaction among groups of customers with different characteristics in terms of gender, age, income, academic level, and occupation, and (4) Proposing some managerial implications to improve the quality of online services by interviewing directly and online 200 individual customers who have shopped at Tiki.vn E-commerce platform for at least the last six months, using the convenient sampling method. This study analyzes the reliability of the scale through the Cronbach's alpha coefficient, Exploratory factor analysis, and Linear regression analysis. The findings identified four factors that influence positively customer satisfaction regarding the quality of online services in Tiki.vn E-commerce platform in the order of descending strength: (1) Trust, (2) Customer service, (3) Web design and (4) Safety. In addition, the results show no difference in customer satisfaction according to different academic levels, but in terms of occupation and income, gender, and age. The results show that the factors influencing most customer satisfaction are Reliability and Customer Service. Some managerial implications are then proposed to improve the quality of online shopping services at Tiki.vn.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.481-489
• /
• 2020

The study examines the role of facilitating conditions and user habits in the use of technology in Online Learning Platform (OLP) in Indonesia. The adoption of online learning, persistence, and learning results in online platforms is essential for ensuring that education technology is implemented and gets as much value as possible. People who use technology and systems will embrace new technologies even more. This quantitative study is based on a survey of 254 respondents, who were active users of the technology, and considers the facilitating conditions and user habits variables. Two research hypotheses were tested using the Partial Least Square-Structural Equation Modeling method. Cronbach's Alpha, path coefficient, AVE, R-square, T-test were applied. The results showed that the factors significantly influence the Online Learning Platform technology behavioral intention. This impact is primarily associated with the availability of the resources required to use OLP technology. The availability of these resources includes supporting infrastructures such as widespread Internet access, easy access to mobile devices, and file sizes that affect access speed. The findings of this study suggest that it is necessary to introduce and increase the availability of resources for using OLP technology, and familiarize people with the technology features.