• The Journal of Information Systems
• /
• v.29 no.1
• /
• pp.113-136
• /
• 2020

Purpose In recent years, "Internet + " is a new social form. Has already brought the vitality of social and economic entities. The rapid development of Internet globalization, promote the development of an emerging network interaction, "Live broadcast". Viewers from all over the world can watch various types of live programs by connecting to the Internet. Viewers and live broadcasters can generate instant and efficient interactions. Design Many companies have taken advantage of the advantages of the live broadcast platform. Use live broadcasts for brand marketing activities. Branding compared to offline, online advertising is cheaper, Spread more quickly, get feedback from consumers more realistic. Merchants are also aware that this type of interaction creates a closer connection between consumers and businesses. This article will deduce a unique research model through lots of prior studies. Establish independent variables from two aspects of live software features and consumer features, and from the seven hypotheses derived, summarize how to make consumers more loyal to the same brand. The audience of Korean and Chinese live broadcast software is also growing. In order compare the differences between the consumer groups in Korea and China, this article uses the same research model, analysis of consumers in Korea and China. Findings Finally based on the results of the study. Proposal for rationalization of companies that use Korean-Chinese live broadcast platforms for brand marketing.

• Journal of Information Technology Applications and Management
• /
• v.20 no.2
• /
• pp.109-125
• /
• 2013

As the number of SNS users is increasing, it has been very important how companies use SNS strategically. As a result, studies have been performed for the utilization of SNS. Most of the studies, however, focused on the overall characteristics of SNS and did not consider the characteristics of individual SNS. This study classified the main purpose of SNS use as relation-oriented purpose and information-oriented purpose, and identified the types of SNS from two viewpoints : service type and openness. Based on the classification, this study identified the characteristics of Cyworld, Facebook, and Twitter respectively, and analyzed the difference of the purpose of SNS users according to the characteristics of each service. The results showed that more users had the information-oriented purpose in the order of Twitter, Facebook, and Cyworld. There was no difference in the relation-oriented purpose among the three services. The analyses of the motive to join a group or a party made similar results. The results of additional analyses showed that the ratio of users with many acquaintances was high in the order of Facebook, Twitter, and Cyworld. In addition, more users checked their timeline or news feed more frequently in the order of Facebook, Twitter, and Cyworld.

• The Journal of Asian Finance, Economics and Business
• /
• v.6 no.1
• /
• pp.249-259
• /
• 2019

Studies looking at many aspects of SNS addiction have dramatically increased in recent years. Most of the SNS addiction research has focused on individual behaviors. There is little academic research about SNS addiction in the workplace. This study, therefore, plans to examine the organizational behaviors related to SNS addiction in the workplace. We investigate whether negative behaviors in the workplace induce SNS addiction, and how SNS addiction influences the organizational or social attitudes of employees. We also explore the possible mediating effect of SNS addiction. We use an online survey and collected 285 responses from office workers in South Korea. The results tested by a structural equation modeling indicate, first, that both abusive supervision and workplace bullying have aroused SNS addiction among employees; second, employees' SNS addiction increases both from work-to-family-conflicts and family-to-work-conflicts; and third, SNS addiction fully mediates the relationship between abusive supervision and workplace bullying, as well as the relationship among abusive supervision, workplace bullying, and work-family conflicts. The study finds that abusive supervision and workplace bullying are important antecedents of SNS addiction, and that SNS addiction affects conflicts in both work-to-family and family-to-work situations. Therefore, companies should be cognizant of potential mediating influences in monitoring employees' SNS usage in order to improve their work environments.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.4
• /
• pp.64-79
• /
• 2022

The concept of Virtual Character has been developed for a long time with people's demand for cultural and entertainment products such as games, animations, and movies. In recent years, with the rapid development of concepts and industries such as social media, self-media, web3.0, artificial intelligence, virtual reality, and Metaverse, Virtual Character has also expanded new derivative concepts such as Virtual Idol, Virtual YouTuber, and Virtual Digital Human. With the development of technology, people's life is gradually moving towards digitalization and virtualization. At the same time, under the global environment of the new crown epidemic, human social activities are rapidly developing in the direction of network society and online society. From the perspective of digital media content, this paper studies the production technology of Virtual Character related products in the Chinese market, and analyzes the future development direction and possibility of the Virtual Character industry in combination with new media development directions and technical production methods. Consider and provide reference for the development of combined applications of digital media content industry, Virtual Character and Metaverse industry.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.20 no.2
• /
• pp.37-47
• /
• 2024

The food tech market, which uses artificial intelligence robots for the restaurant industry, is gradually expanding. Among them, the robot barista, a representative food tech case for the restaurant industry, is characterized by increasing the efficiency of operators and providing things for visitors to see and enjoy through a 24-hour unmanned operation. This research was conducted through text mining analysis to examine trends related to robot baristas in the restaurant industry. The research results are as follows. First, keywords such as coffee, cafe, certification, ordering, taste, interest, people, robot cafe, coffee barista expert, free, course, unmanned, and wine sommelier were highly frequent. Second, time, variety, possibility, people, process, operation, service, and thought showed high closeness centrality. Third, as a result of CONCOR analysis, a total of 5 keyword clusters with high relevance to the restaurant industry were formed. In order to activate robot barista in the future, it is necessary to pay more attention to functional development that can strengthen its functions and features, as well as online promotion through various events and SNS in the robot barista cafe.

• International journal of advanced smart convergence
• /
• v.13 no.2
• /
• pp.166-171
• /
• 2024

Recently, there has been an increasing trend in the role of social media in tourism marketing. We analyze changes in tourism marketing trends using tourism marketing keywords through social media networks. The aim is to understand marketing trends based on the analyzed data and effectively create, maintain, and manage customers, as well as efficiently supply tourism products. Data was collected using web data from platforms such as Naver, Google, and Daum through TexTom. The data collection period was set for one year, from December 1, 2022, to December 1, 2023. The collected data, after undergoing refinement, was analyzed as keyword networks based on frequency analysis results. Network visualization and CONCOR analysis were conducted using the Ucinet program. The top words in frequency were 'tourists,' 'promotion,' 'travel,' and 'research.' Clusters were categorized into four: tourism field, tourism products, marketing, and motivation for visits. Through this, it was confirmed that tourism marketing is being conducted in various tourism sectors such as MICE, medical tourism, and conventions. Utilizing digital marketing via online platforms, tourism products are promoted to tourists, and unique tourism products are developed to increase city branding and tourism demand through integrated tourism content. We identify trends in tourism marketing, providing tourists with a positive image and contributing to the activation of local tourism.

• Asia pacific journal of information systems
• /
• v.32 no.1
• /
• pp.1-31
• /
• 2022

Personalization and customization of product and service designs involving firms and customers using online design interfaces across the Internet is increasingly being facilitated by brands. Research on the role of information technology and value co-creation across various research disciplines in management has provided learnings on ways to creatively improve products and services by integrating customers and firms in web portals. This paper provides a comprehensive analysis of the specific attributes of value co-creation between customers and firms relevant to business logic, learnings, projects, personalized products and services, social network innovations, brand management and markets across the Internet for the purpose of enhancing information management of value co-creation for industries and research. The paper draws on published research and industry surveys on how value co-creation is growing in the digital economy. An industry survey of managers who use web portals for their business responded to a questionnaire on how various social, economic and intellectual motivation factors of firm-customer interactions result in value co-creation for customers and firms. These motivation factors can lead to improved learning systems for business process improvements and service management for industries, customers and firms and may also be classified.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.6
• /
• pp.2946-2959
• /
• 2018

Choi et al's work [1] in 2015 demonstrated that the resident registration numbers (RRNs) of individuals could be conveniently estimated through their personal information that is ordinarily disclosed in social network services. As a follow-up to the study, we introduce the status of the RRN system in Korea in terms of its use in the online environment, particularly focusing on their secure use. We demonstrate that it is still vulnerable against a straightforward attack. We establish that we can determine the RRNs of the current president Moon Jae-In and the world-class singer PSY.

• International Journal of Contents
• /
• v.12 no.1
• /
• pp.60-64
• /
• 2016

As new applications of cloud data management system (CDMS) such as online games, cooperation edit, social network, and so on, are increasing, transaction processing capabilities for CDMS are required. Several transaction processing methods for cloud data management system (CDMS) have been proposed. However, existing transaction processing methods have some problems. Some of them provide limited transaction processing capabilities. Some of them are hard to be integrated with existing CDMSs. In this paper, we proposed a new concurrency control method to support transaction processing capability for CDMS to solve these problems. The proposed method was designed and implemented based on Spark, an in-memory distributed processing framework. It uses RDD (Resilient Distributed Dataset) model to provide fault tolerant to data in the main memory. In our proposed method, database stored in CDMS is loaded to main memory managed by Spark. The loaded data set is then transformed to RDD. In addition, we proposed a multi-version concurrency control method through immutable characteristics of RDD. Finally, we performed experiments to show the feasibility of the proposed method.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.3
• /
• pp.73-81
• /
• 2016

With the increasing popularity of social network services (SNSs), there have been many attempts to analyze the users of SNSs. By doing so, the characteristics and preferences of the users can be understood, which can help companies provide personalized information and services that they need or are relevant for them. This study aimed to analyze the usage behavior of Korean Twitter users from various perspectives to deepen the understanding of it. For this research goal, an online survey was conducted for the users of Twitter and the data about their actual usage were collected using the open API of Twitter. Factor analysis of the data revealed five factors that explain about 69.3% of the usage variables. It was also investigated how the factors are related to gender, age, and brand preferences. The results showed that the usage behavior of Twitter is largely affected by age (p<0.001), and also by gender through an interaction effect (p<0.05). Also, the factors showed significant statistical correlations with the brand preferences of the users.