• International Commerce and Information Review
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• v.7 no.3
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• pp.3-25
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• 2005

It is high time to prepare the online publication system of academic research paper. Online publications like digital research paper, e-Book, etc. are increased day by day as the information technology(IT) is developing continually. But, the legal aspect of publication system of academic research paper in Korea is not prepared yet. The purposes of this study are to examine the problems on the publication system of academic research paper in the context of digital goods and to frame a policy of legal proceedings in relation to the social science. The methodology used in this paper is theoretical analysis which is examining the case of academic research system and scientific journal in Korea. As a result of this study, following measures are suggested: (1) Legal provisions on the online publication system, that is, "Research Promotion Law of Korea" controlled by KRF(Korea Research Foundation) and MOE(Ministry of Education) should be revised. (2) Solution like software program and DB system proceeding the data on academic research paper should be prepared newly. (3) From the viewpoint of digital goods, both protecting the intellectual property right and settling the reliance upon online publication system should also be considered simultaneously.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.71-84
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• 2024

This paper presents a critical analysis of the current application of big data in higher education and how Learning Analytics (LA), and Educational Data Mining (EDM) are helping to shape learning in higher education institutions that have applied the concepts successfully. An extensive literature review of Learning Analytics, Educational Data Mining, Learning Management Systems, Informal Learning and Online Social Networks are presented to understand their usage and trends in higher education pedagogy taking advantage of 21st century educational technologies and platforms. The roles of and benefits of these technologies in teaching and learning are critically examined. Imperatively, this study provides vital information for education stakeholders on the significance of establishing a teaching and learning agenda that takes advantage of today's educational relevant technologies to promote teaching and learning while also acknowledging the difficulties of 21st-century learning. Aside from the roles and benefits of these technologies, the review highlights major challenges and research needs apparent in the use and application of these technologies. It appears that there is lack of research understanding in the challenges and utilization of data effectively for learning analytics, despite the massive educational data generated by high institutions. Also due to the growing importance of LA, there appears to be a serious lack of academic research that explore the application and impact of LA in high institution, especially in the context of informal online social network learning. In addition, high institution managers seem not to understand the emerging trends of LA which could be useful in the running of higher education. Though LA is viewed as a complex and expensive technology that will culturally change the future of high institution, the question that comes to mind is whether the use of LA in relation to informal learning in online social network is really what is expected? A study to analyze and evaluate the elements that influence high usage of OSN is also needed in the African context. It is high time African Universities paid attention to the application and use of these technologies to create a simplified learning approach occasioned by the use of these technologies.

• Science of Emotion and Sensibility
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• v.15 no.2
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• pp.283-296
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• 2012

The goal of this study is to determine the social emotion model as an emotion sharing relationship and information sharing relationship based on the user's relations at social networking services. 26 social emotions were extracted by verification of compliance among 92 different emotions collected from the literature survey. The survey on the 26 emotion words was verified to the similarity of social relation types to the Likert 7-points scale. The principal component analysis of the survey data determined 12 representative social emotions in the emotion sharing relation and 13 representative social emotions in the information sharing relation. Multidimensional scaling developed the two-dimensional social emotion model of emotion sharing relation and of information sharing relation based on online communication environment. Meanwhile, insignificant factors in the suggest social emotion models were removed by the structural equation modeling analysis, statistically. The test result of validity analysis demonstrated the fitness of social emotion models at emotion sharing relationships (CFI: .887, TLI: .885, RMSEA: .094), social emotion model of information sharing relationships (CFI: .917, TLI: .900, RMSEA : 0.050). In conclusion, this study presents two different social emotion models based on two different relation types. The findings of this study will provide not only a reference of evaluating social emotions in designing social networking services but also a direction of improving social emotions.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.109-117
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• 2021

Although previous studies on social commerce have provided much insight, more studies in the perspective of social network are needed because social commerce happens within online communities or virtual groups, where buyers connect and interact with each other by sharing information. So, the purpose of this study is to investigate how transactive memory as network characteristic can affect social commerce behavior through social support and relationship quality. We verified the relational effect among social support, relationship quality, and social commerce intention in the Korean market context. Moreover, we found transactive memory capability also played an essential role in the field of social commerce. Specifically, we found consumer's transactive memory capability plays a significant moderating role in the relation between social support and relationship quality.

• Journal of Distribution Science
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• v.15 no.7
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• pp.43-52
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• 2017

Purpose - This study investigates shopping behaviors and effects focusing on the seniors in 50s and 60s based on their buying satisfaction in online shopping. The study investigated causal relation between effects having influence upon online shopping behavior to give theoretical base on the use of online shopping. The study gave implications of consumption attitude of silver generation as well as senior consumers in aging society. Research design, data, and methodology - The subject was senior consumers who have experienced online shopping to be sensitive to the fashion and to have active and reasonable consumption pattern and to be active and to have positive value. Results - This study investigated the mediating effect on purchase satisfaction of the 50s and the 60s upon online shopping to examine online shopping use and effects. The subject was the ones in their 50s and 60s in Gyeonggi and Chungnam who had experienced online shopping. All of hypotheses of models at PLS analysis were supported. Conclusions - Both information innovation and self-satisfaction showed positive influence upon the ease of and also access of the use. In addition, the access to the use had positive influence upon the purchase intention in retailers' online shopping.

• Industry Promotion Research
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• v.8 no.4
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• pp.177-186
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• 2023

Modern society is operated based on the internet, wireless networks, and digital devices to the extent that it is called a digital society. In particular, as most of financial transactions, information movement, and commercial activities are based online, various social problems and side effects related to this are increasing rapidly. Representative examples include industrial espionage activities and leakage of industrial technology, and social problems such as illegal goods trade such as drugs using online and online gambling are increasing to a serious level. These digital-based social problems cannot be solved only by the activities and capabilities of judicial institutions such as police and prosecutors. Now that the private investigation market is open, active intervention using them is necessary. To this end, it is necessary to actively cultivate private investigator's ability to investigate and collect evidence in relation to digital social and criminal problems. In addition, each private investigation education institution or association should actively invest and research this.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.1
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• pp.17-25
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• 2018

Recently, with the development of ICT technology and the rapid spread of smart devices, a huge amount of information is being generated. The recommendation system has helped the informant to judge the information from the information overload, and it has become a solution for the information provider to increase the profit of the company and the publicity effect of the company. Recommendation systems can be implemented in various approaches, but social information is presented as a way to improve performance. However, no research has been done to utilize trust cluster information among users in the recommendation system. In this paper, we propose a method to improve the performance of the recommendation system by using the influence between the intra-cluster objects and the information between the trustor-trustee in the cluster generated in the online review. Experiments using the proposed method and real data have confirmed that the prediction accuracy is improved than the existing methods.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.101-106
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• 2023

In this busy world actually stress is continuously grow up in research and monitoring social websites. The social interaction is a process by which people act and react in relation with each other like play, fight, dance we can find social interactions. In this we find social structure means maintain the relationships among peoples and group of peoples. Its a limit and depends on its behavior. Because relationships established on expectations of every one involve depending on social network. There is lot of difference between emotional pain and physical pain. When you feel stress on physical body we all feel with tensions, stress on physical consequences, physical effects on our health. When we work on social network websites, developments or any research related information retrieving etc. our brain is going into stress. Actually by social network interactions like watching movies, online shopping, online marketing, online business here we observe sentiment analysis of movie reviews and feedback of customers either positive/negative. In movies there we can observe peoples reaction with each other it depends on actions in film like fights, dances, dialogues, content. Here we can analysis of stress on brain different actions of movie reviews. All these movie review analysis and stress on brain can calculated by machine learning techniques. Actually in target oriented business, the persons who are working in marketing always their brain in stress condition their emotional conditions are different at different times. In this paper how does brain deal with stress management. In software industries when developers are work at home, connected with clients in online work they gone under stress. And their emotional levels and stress levels always changes regarding work communication. In this paper we represent emotional intelligence with stress based analysis using machine learning techniques in social networks. It is ability of the person to be aware on your own emotions or feeling as well as feelings or emotions of the others use this awareness to manage self and your relationships. social interactions is not only about you its about every one can interacting and their expectations too. It about maintaining performance. Performance is sociological understanding how people can interact and a key to know analysis of social interactions. It is always to maintain successful interactions and inline expectations. That is to satisfy the audience. So people careful to control all of these and maintain impression management.

• Management & Information Systems Review
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• v.31 no.4
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• pp.517-538
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• 2012

The purpose of this study is to explore key factors that influence the intention of continuous use of social network service users in the online environment. Since the intention of continuous use is one of the most critical factors in the profit model of social network service, the findings of this study should be useful to the SNS firms. This study use the personal and network aspects as major behavior intention of that influence user's attachment to a social network service. The results are summarized as follows. First, use motivation in self-determination have effects on emotional attachment, information sharing intention, loyalty. The world's most leading social network services now, the social network service has developed very fast as a kind of new online service. During the past few years, the number of Twitter's registered users around the world has already exceeded 170 million. Not only have the United Sates, many countries around the world have also been hit by the wave of SNS, including those in Korea. Since the intention of continuous use is one of the most critical factors in the profit model of social network service, the findings of this study should be useful to the SNS firms. We need to continue the study of social network.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.4
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• pp.752-758
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• 2012

SNS(Social Networking Services) is oneline service that enable users to construct human network through their relation on web, such as following relation, friend relation, and etc. Recently, owing to the advent of digital devices (smart phone, tablet PC) which embedded GPS some applications which provide services with spatial relevance and social relevance have been released. Such an online service is called LBSNS. It is required to use spatial filtering so as to build the LBSNS system that enable users to subscribe information of interesting area. For spatial filtering, user and tweet attaches location information which divide into static property presenting fixed area and dynamic property presenting user's area changed along the moving user. In the case of using a location information including dynamic property, Continuous query occurred from the moving user causes the problem in server. In this paper, we propose spatial filtering algorithm using Virtual Grid for reducing frequency of query, and conclude that frequency of query on using Virtual Grid is 93% decreased than frequency of query on not using Virtual Grid.