• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2241-2246
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• 2015

Recently for efficient management, companies have collected and investigated information about customers' feedback by using a system that analyzes big data from social media. This paper proposes more accurate and efficient evaluation method of collecting and investigating customers' feedback using social big data for travel agency, which is representative company of hospitality industry. First, it designs service model and, as a test-bed, analyzes media channel, customer satisfaction, and brand-image etc. of big 5 travel agencies in Korea. In addition, we suggest an analysis result of evaluating preference with positive rate and negative rate by proposed evaluation method. It allows a travel agency to know which area should be improved corresponding to evaluation item; thus, suggested evaluation method is effective to manage customers even more efficiently.

• Knowledge Management Research
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• v.23 no.1
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• pp.1-26
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• 2022

With the spread of social networks, platform-based social commerce has grown rapidly with the use of multiple smart devices. Given the rapid growth of social commerce sites such as Coupang and Ticket Monster, it is very important to understand the user's purchase decision-making process in a social commerce environment. The purpose of this study is to develop a richer understanding of the goals of users using social commerce. Second, a methodological alternative for analyzing the user's goals is introduced. In this study, laddering interview and means-end chain analysis were used. As a result of interview conducted on 40 users who have more than 6 months of purchasing experience using social commerce, a hierarchical goal map showing the user's goal structure was derived. This map contains 22 ultimate goals of social commerce, including warm relationships with others, fun and enjoyment of shopping, accomplishment, satisfaction, financial saving, and convenience. In addition, there are various paths from activities to ultimate goals, so investigating the goals pursued by users can give us insight into understanding user.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.548-562
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• 2022

This study was conducted to diagnose the issues of AI ethics in global content and to discuss what kind of discourse is needed to strengthen human identity. To this end, the study selected Netflix original content "The Social Dilemma" for analysis and adopted narrative analysis as the research method. The analysis results confirmed that "Social Dilemma" showed the structure of a traditional current affairs documentary and mainly used experts and statistical data to develop the story. It also reinforced core content claims by enumerating domestic and foreign cases such as the 2021 Myanmar massacre and the spread of fake news. In addition, the relationship between the characters clearly revealed the binary opposition between developers and media companies as well as users and advertisers. For the solution to the problem, strong regulations on businesses and the suspension of social media use were reached. However, "The Social Dilemma" merely pointed out the misuse of AI technology and had a narrative that ignored human identity and social relationships. Such results raise the need for creating contents that emphasize the importance of human sociality, relationships, and learning ability in the age of AI.

• Electronics and Telecommunications Trends
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• v.26 no.4
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• pp.134-145
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• 2011

서비스 제공자 중심에서 소비자 중심으로 지식정보의 생산 및 유통이 변화한 새로운 형태의 서비스인 소셜 네트워크 서비스가 다양한 모습으로 발전하고 있다. 특히, 스마트폰으로 대표되는 다양한 스마트 디바이스의 발전으로 소셜 네트워크 서비스의 발전은 더욱 활성화되었다. 이에 따라 관련 산업이 크게 발전하고 있으나 소비자가 스스로 정보를 생산 및 유통하는 과정에서 발생하는 다양한 보안 위협들에 대한 인식 및 대응 방법이 미비하여 새로운 문제점들을 야기하고 있다. 본 고에서는 소셜 네트워크 서비스에서 발생하는 다양한 보안 취약성들을 정리하고 이를 개선하기 위한 기술들에 대해 살펴본다.

• Knowledge Management Research
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• v.22 no.4
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• pp.41-70
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• 2021

The use of social media has many advantages such as knowledge sharing, social networking, and communicating with other people. However, it has given rise to various side effects including stress, Which is defined as social network stress in this study. This study aims to conceptualize social network stress and investigate its effect on switching behavior in social media. For this purpose, we present a research model that consists of the antecedents and consequences of social network stress and test it empirically using LISREL 8.7 based on the structural equation model. The empirical results showed that knowledge sharing and self-disclosure had positive impact on social network stress, which in turn positively influenced social media switching behaviors. In conclusion, we discussed both theoretical and practical implications of this research and suggested its limitations.

• Informatization Policy
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• v.29 no.3
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• pp.3-25
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• 2022

Since social media's introduction, it has reached a point where almost all Internet users, or more than half of the world's population, use social media. As its use became a common activity for many people, social media inevitably induced a range of social phenomena, and numerous researchers have examined them from diverse perspectives. In order to understand the social media phenomenon and related studies better, this study incorporates and analyzes 1,038 articles of social media literature, explores their focuses, and provides an integrative knowledge of the social media phenomenon and research trend. Furthermore, by applying Ihde (1990)'s theories on human-technology relationships to social media literature, this study also investigates how the relationship between people and social media has changed. This study interprets the approaches used in literature in light of human-technology relationships and offers suggestions for future research.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.8
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• pp.883-892
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• 2018

Recently, as interest in social robots to support physical convenience and emotional sympathy has increased, and social internet has developed, a social robot has evolved as various services simply beyond robot function. Therefore, to develop a social robot service effectively, it is required to study the functional application and methods of interaction between user and social robot service. The purpose of this study is to classify social robot services and to suggest the types of elements that need to be considered in service development. To do this, we conducted in-depth case studies and analysis based on the theoretical definitions and characteristics of social robots. Then, based on the sympathy and functions, we classified social robot services into 1) emotional support type, 2) companion type, 3) guide type, and 4) life support type. In addition, in this study, we derive the considerable factors according to the classified types for the development of effective social robot services. This study will contribute to the understanding and development of various services using a social robot.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.249-257
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• 2020

The study aims to explore whether the Supplier's social medial activities and the consumer's social media activities mediate between the characteristics of purchasing cosmetics and the intention of purchasing. To answer this question, a total of 321 consumers participated in the study, and a self-report type of questionnaires were utilized to collect the data. For the data analysis, descriptive statistical analysis and structural equation modeling(SEM) were applied. The results from the study are as follows. First, the characteristics of purchasing cosmetics did not affect the intention of purchasing cosmetics. Second, both the Supplier's and the consumer's social media activities positively predicted the intention of purchasing, among which the consumer's activities were ascertained to make more influential impact on the intention of purchasing cosmetics. Third, both Supplier's and consumer's social media activities completely mediated between the characteristics of purchasing cosmetics and the intention of purchasing. More discussions are suggested for marketing strategies in the study.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.449-458
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• 2018

As the usage of social network services increases, event information occurring offline is spreading more rapidly. Therefore, studies have been conducted to detect events by analyzing social data. In this paper, we propose a graph based event detection scheme considering user interest in social networks. The proposed scheme constructs a keyword graph by analyzing tweets posted by users. We calculates the interest measure from users' social activities and uses it to identify events by considering changes in interest. Therefore, it is possible to eliminate events that are repeatedly posted without meaning and improve the reliability of the results. We conduct various performance evaluations to demonstrate the superiority of the proposed event detection scheme.

• Journal of Advanced Navigation Technology
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• v.17 no.3
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• pp.325-331
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• 2013

Social network services(SNS) has been used as a means of communication for user or express themselves user. Therefore, SNS has a variety of information. This information is useful to help the investigation can be used as evidence. In this paper, A study of mobile digital forensic procedure for crime investigation in social network service. Analysis of database file taken from the smartphone at social network service application for mobile digital forensic procedure. Therefore, we propose a procedure for the efficient investigation of social network service mobile digital forensic.