• Title/Summary/Keyword: online platform characteristics

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A Study on the Factors Affecting Learning Satisfaction and Continuous Use Intention of Real-Time Online Education Platform (실시간 온라인 교육 플랫폼의 학습만족도와 지속사용의도에 영향을 미치는 요인에 관한 연구)

  • Mei, Si-Yang;Lee, Dong-Myung
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.342-353
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    • 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.

A Study on the Required Characteristics of Collaborative Online Platform for Social Enterprises

  • Sun-Hwa Lee;Jong-Soo Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.129-137
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    • 2024
  • Social enterprises have a high cost structure, inefficient operation, and poor human and material resources due to a dual structure that must achieve both economic and social purposes. To solve this problem, collaboration, such as sharing resources and information between social enterprises, is emerging as an important management issue. Accordingly, in recent years, the establishment and operation of an online platform is being emphasized as a means to effectively support the problem of lack of resources (human resources, equipment, funds, and technology) between social enterprises, the promotion of joint projects between companies, and the establishment of organic information sharing and communication channels between companies. This study empirically analyzed how the required characteristics of the online platform that supports the collaboration of social enterprises vary depending on the characteristics of the enterprise (general characteristics, collaboration characteristics), and found that there are statistically significant differences depending on the size. These results are expected to be useful in deriving management plans for online platforms for cooperation support for domestic social enterprises in the future, and seeking ways to increase collaboration using the platforms.

Big data platform for health monitoring systems of multiple bridges

  • Wang, Manya;Ding, Youliang;Wan, Chunfeng;Zhao, Hanwei
    • Structural Monitoring and Maintenance
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    • v.7 no.4
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    • pp.345-365
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    • 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.

Which Online Shopping Platforms and Payment Options are Favored by Korean Online Seller?: Focusing on Online Shopping Platforms' and Payment Options' Characteristics (온라인 쇼핑 플랫폼 및 간편결제서비스 선택 시 판매자가 고려하는 요인에 대한 실증적 연구)

  • Lee, Hyerin;Bae, Hyunjin;Lee, Sang Woo
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.443-454
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    • 2019
  • The purpose of this research is to verify the sellers' preference of online shopping platform and simple payment service among the Korean domestic online shopping platforms and analyze which factors they consider depending upon their preferred platform and service. The result of this study shows that the reputation, ease of payment, and ease to navigate of online shopping platform should be considered seriously in choosing the online shopping platform. Also, the usability, ease of payment and service fee of simple payment service are influencing factors to select simple payment service for sellers. Meanwhile, the result confirms that the degree of reputation, ease to navigate, service fee, and ease of payment differs on each selected online shopping platform. Also, the degree of usability and security in simple payment service is different between each chosen simple payment services.

Mediating Effect of Information Sources and Platform Characteristics in E-commerce: A Comparison between Korea and China

  • Da-Sol Lee;Je-Man Boo
    • Journal of Korea Trade
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    • v.26 no.7
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    • pp.185-202
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    • 2022
  • Purpose - As overseas direct purchase transactions using e-commerce increase, the scale and scope of international trade are diversified, and the transaction volume using online platforms in e-commerce is increasing. The e-commerce market share will become more important because it is not only a medium connecting B2C, but also because it will expand the scope of trade. This study aims to reveal the factors that influence purchase intention according to Korean-Chinese consumers in e-commerce. In addition, the study has comprehensively confirmed the influence between each factor in the e-commerce environment by integrating and analyzing the characteristic factors of online information sources and platforms in one structural equation. Finally, the study confirmed that there is a significant difference in the influence relationship between Korean and Chinese consumers. Through this, the study will contribute to content production in the e-commerce market according to the target market and the expansion of the mutual entry of Korea and China. Design/methodology - This study aims to confirm the mediating effect of the details of the online information source characteristics and platform characteristics when the perceived quality affects purchase intention. It is confirmed that the factors affecting Korean and Chinese consumers differ. Findings - It was confirmed that differences exist according to the group of Korean or Chinese consumers for the entire research model. In the case of Korean consumers, the mediating factors when perceived quality affects purchase intention are expertise, reliability, entertainment, informativity, and convenience; in the case of Chinese consumers, the factors are expertise and informativity. Originality/value - This study proved that Korean and Chinese consumers cannot be regarded as having the same characteristics, and therefore, strategies aimed at each e-commerce market should be differentiated. In addition, although previous studies on online information sources and platform characteristics were not integrated, this study confirmed a significant influence relationship among the factors that could affect purchase intention in the actual e-commerce environment.

Am Empirical Study on the Tension of Insecurity and Autonomy of Online Platform Work (온라인 플랫폼 노동에서 불안과 자율성의 긴장관계에 대한 실증분석)

  • Joo, Jae Hun
    • The Journal of Information Systems
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    • v.31 no.2
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    • pp.111-136
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    • 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.

Concept and Characteristics of Intelligent Science Lab (지능형 과학실의 개념과 특징)

  • Hong, Oksu;Kim, Kyoung Mi;Lee, Jae Young;Kim, Yool
    • Journal of The Korean Association For Science Education
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    • v.42 no.2
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    • pp.177-184
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    • 2022
  • This article aims to explain the concept and characteristics of the 'Intelligent Science Lab', which is being promoted nationwide in Korea since 2021. The Korean Ministry of Education creates a master plan containing a vision for science education every five years. The most recently announced '4th Master plan for science education (2020-2024)' emphasizes the policy of setting up an 'intelligent science lab' in all elementary and secondary schools as an online and offline space for scientific inquiry using advanced technologies, such as Internet of Things and Augmented and Virtual Reality. The 'Intelligent Science Lab' project is being pursued in two main directions: (1) developing an online platform named 'Intelligent Science Lab-ON' that supports science inquiry classes, and (2) building a science lab space in schools that encourages active student participation while utilizing the online platform. This article presents the key features of the 'Intelligent Science Lab-ON' and the characteristics of intelligent science lab spaces newly built in schools. Furthermore, it introduces inquiry-based science learning programs developed for intelligent science labs. These programs include scientific inquiry activities in which students generate and collect data ('data generation' type), utilize datasets provided by the online platform ('data utilization' type), or utilize open and public data sources ('open data source' type). The Intelligent Science Lab project is expected to not only encourage students to engage in scientific inquiry that solves individual and social problems based on real data, but also contribute to presenting a model of online and offline linked scientific inquiry lessons required in the post-COVID-19 era.

Customer Satisfaction at Tiki.vn E-Commerce Platform

  • GIAO, Ha Nam Khanh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.4
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    • pp.173-183
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    • 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.

Data Control Methods of Online Application based on Multi-Platform (멀티 플랫폼 기반 온라인 응용의 데이터 제어 기법)

  • Kim, Jin-Deog;Jin, Kyo-Hong
    • The Journal of Korean Association of Computer Education
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    • v.5 no.4
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    • pp.79-89
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    • 2002
  • Several multi-user online applications which are operated by the existing fixed terminals(PC) are being changed into online application based on multi-platform operated by the several PC, PDA and mobile phones to perform concurrent works recently. The contents of current online application based multi-platform are, however, very unsophisticated because the applications don't consider the simultaneous accesses of shared data by multi-user and also the asymmetry of computing power and network bandwidth among each client. This paper proposed the methods of consistency control based on multi-platform, update propagation protocols among diverse clients, object management techniques which take the characteristics of mobile clients into account. We also implemented a chatting application based on multi-platform and it showed the proposed methods perform well.

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A Study on the Effect of Characteristics of Shopping Mall on Revisit -Focusing on the difference in online platform form- (온라인 쇼핑몰의 특성이 소비자 재방문 의도에 미치는 영향 -온라인 플랫폼 형태 차이를 중심으로-)

  • Shin, Jong-Kuk;Kim, Jea-Hun;Rhee, Sung-Hyun
    • Journal of Digital Convergence
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    • v.19 no.4
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    • pp.73-88
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    • 2021
  • The development of modern industry is changing the consumption pattern of consumers. With the advent of COVID-19, consumers' consumption using online e-commerce has begun to become more active. Online shopping malls where e-commerce takes place have four types of platforms: stand-alone, rental, open market and store farm. Among them, by comparing the stand-alone and store farm types, this study was conducted how the platform type affects consumers' purpose of using the online shopping mall and their intention to revisit the online shopping mall. This study analyzed 202 surveys within the last six months. According to the results of the study, reliability and information had a significant impact on psychological benefits. In addition, promotion and convenience have had a significant impact on economic benefits. The psychological and economic benefits, have been found to have a significant impact on the intention of revisit. However, there is no difference depending on the platform type.