• Knowledge Management Research
• /
• v.14 no.1
• /
• pp.21-37
• /
• 2013

Due to the development of social networks and smartphones, many different kinds of issues have emerged in business and society. By reflecting these trends, social network sites have appeared and they are recognized as the new concept of sites. The major feature of the social network sites is that the social relationship had been taken to the online space. Social network sites support the formation of a network and offer users the relationship between users offline as well as online. Based on the features mentioned above, users enjoy the benefits using social network sites. These social network sites in the enterprise can be used to form relationships with customers. This study identified the influencing factors as relational benefits and social influence on relationship commitment in social network sites. In addition, we analyzed that how the relationship commitment between users affects user loyalty after their using social network sites. We presented empirical results by utilizing structural equation model with 244 respondents and the significant implications for the academy and the practice with discussions.

• Journal of Information Science Theory and Practice
• /
• v.5 no.4
• /
• pp.26-38
• /
• 2017

Even through many professional organizations increasingly use Q&A sites in their online communities for information sharing, there are few studies which examine what is really going on in the Q&A activities in professional online communities (POC). This study aims to examine the interaction patterns and contents posted in the Q&A site of a POC, KOSEN, a science and technology online community in South Korea, focusing on how actively scientific information and knowledge are shared. The interaction patterns among the participants were identified through social network analysis (SNA) and the contents in the Q&As were examined by content analysis. The results show that the overall network indicated a moderate level of participation and connection and answerers especially tended to be active. Also, there are different interaction patterns depending on academic fields. Relatively few participants were posting leaders who seemed to steer the overall interactions. Furthermore, some content related to manipulation and explanation for experiments, which are in urgent need, seem to be posted in the sites more frequently with more amounts. Combining both SNA and content analysis, this study demonstrated how actively information and knowledge is shared and what types of contents are exchanged. The findings have practical implications for POC managers and practitioners.

• International Journal of Computer Science & Network Security
• /
• v.21 no.12spc
• /
• pp.483-490
• /
• 2021

The COVID-19 pandemic has posed significant community challenges towards higher education around the world. The urgent and unexpected request for full-time university courses to switch over to online teaching was a particular challenge. Online learning and learning imply a certain pedagogical knowledge content (PKC), mainly related to the design and organization for better learning and the creation of unique learning environments using digital technologies. With the help of the present academic paper, we provide some expert opinion on the PKC connected with online learning with the aim of helping non-university professionals (that is, those with lack of online learning experience) navigate these challenging times. Our findings point to the planning of learning activities with certain features, a combination of three types of presence (social, cognitive and facilitative) and the need to adapt the assessment system to new learning requirements. We will conclude by contemplating on how responding to a crisis can improve teaching and learning practices in the post-digital era.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.163-171
• /
• 2022

Online services are widely spread, and their use increases day by day. As COVID-19 spread and people spent much time online, fraud scams have risen unexpectedly. Manipulation techniques have become more effective at swindling those lacking basic technological knowledge. Unfortunately, a user needs a quorum. The interest in preventing scammers from obtaining effective quality service has become the most significant obstacle, increasing the variety of daily Internet platforms. This paper is concerned with analyzing purchase data and extracting provided results. In addition, after examining relevant documents presenting research discussing them, the recommendation was made that future work avoids them; this would save a lot of effort, money, and time. This research highlights many problems a person may face in dealing with online institutions and possible solutions to the epidemic through theft operations on the Internet.

• Knowledge Management Research
• /
• v.14 no.2
• /
• pp.71-88
• /
• 2013

The aim of this study was to investigate why people voluntarily contribute knowledge to others, primarily strangers, in the electronic network of practice for job examination expected potential competing. This paper is organized as follows. First, we introduce the electronic network of practice which is the knowledge sharing community for job examination, and discuss the key issues for understanding knowledge sharing in these networks on the basis of individual motivations, relational capital, sense of community, and sense of rivalry to develop a research model for this study. To test the proposed research model, we adopted the survey method for data collection, and examined our hypotheses by applying the multiple regression analysis method to the collected data. Our unit of analysis was the individual. The findings of this study show that the intention of knowledge sharing is influenced by the reputation and the enjoy helping as the factors of individual motivations, by the reciprocity as the factor of relational capital, and by a sense of rivalry as a psychological factor. Lastly, contributions of this study and future research opportunities are also discussed.

• Korean Journal of Construction Engineering and Management
• /
• v.7 no.1 s.29
• /
• pp.159-167
• /
• 2006

Better utilization of the knowledge of employees in any organization has long been accepted as a vital component of a corporation's competitiveness. This has been considered even more important in the construction industry due to the dynamic and intermittent nature of construction projects. With the rapid advance of network technologies during the last decade, construction companies quickly shifted their focus of knowledge management to interactive online repositories. However, the efforts of leveraging organizational knowledge has remained fragmented in the construction industry until recent years. In addition, companies have begun to realize that actual returns on this investment in network technologies would be far less than initial expectations if online efforts do not incorporate companies' general offline knowledge management efforts, which are done without the use of computer network. Thus, this paper focused on assessment of implementing current Lessons-Learned Systems at the large construction companies in Korea to provide the foundation for developing a renovated conceptual Lessons-Learned System model.

• Journal of Korea Game Society
• /
• v.6 no.1
• /
• pp.11-20
• /
• 2006

It is necessary that the developer has advanced programming skill for development of network or online game. It takes a lot of time and effort to learn the professional knowledge and program for network communication. We show the case analysis for development for network or online game by developing P2P connection module based on the Virtools engine. It should profitable to reduce the development time and cost.

• Knowledge Management Research
• /
• v.23 no.1
• /
• pp.187-201
• /
• 2022

Online reviews written by tourists provide important information for the management and operation of the tourism industry. The star rating of online reviews is a simple quantitative evaluation of a product or service, but it is difficult to reflect the sincere attitude of tourists. There is also an issue; the star rating and review content are not matched. In this study, a star rating prediction model based on online review content was proposed to solve the discrepancy problem. We compared the differences in star ratings and sentiment by continent through sentiment analysis on tourist attractions and hotels written by foreign tourists who visited Korea. Variables were selected through TF-IDF vectorization and sentiment analysis results. Logit, artificial neural network, and SVM(Support Vector Machine) were used for the classification model, and artificial neural network and SVR(Support Vector regression) were applied for the rating prediction model. The online review rating prediction model proposed in this study could solve inconsistency problems and also could be applied even if when there is no star rating.

• Knowledge Management Research
• /
• v.13 no.2
• /
• pp.1-18
• /
• 2012

This article describes how attributes of social network contribute to enhance innovativeness of corporation which is considered to be one of the competitive factors in this global market. The study especially focused on employees' formal and informal communication that is expected to play a mediating role between the factors. 211 employees were randomly selected to participate in an online survey. The result has shown that the static correlation exists between social network, communication, and innovativeness. Closeness of social network was the only influencing factor on communication and innovativeness, and had a partial mediated effect between social network and innovativeness. Based on the suggested contribution for HRD intervention, various communication channels should be developed and supported in order to enhance innovation among social networks in organizations.

• Journal of Digital Convergence
• /
• v.8 no.1
• /
• pp.71-79
• /
• 2010

Impact of online social network to cyber community has increased much attention recently. The biggest challenge in fostering a social network is to the extent whether it helps to build human capital network or social community. We propose what critical factors influence the formation of online capital network. The study uses three independent factors as motivation, self disclosure, and interactivity and two dependent factors as knowledge sharing and strengthening relationships to create virtual capital connection. Data collected from 256 university students to test the proposed model. The results of the study shows that all hypothesis are supported except one with strengthening relationship. Implications and limitations of this research are discussed.