• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2061-2083
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• 2020

Social commerce, integration of social media and e-commerce, provides potential opportunities for consumers to talk about their ideas and exchange product-related information on online shopping platforms. Given the substantial prospects related to business opportunities and consumers' perceptions, this study explores the factors driving fulfillment of the psychological contract in social commerce platforms. This research proposes, examines, and proves a theoretical model for the post-purchase behavior of the consumers, through an empirical investigation of online questionnaire-based data, gathered from 367 consumers in a cross-sectional setting. Results show that the fulfillment of psychological contract, consumer loyalty, and affective commitment fully mediate the impact of consumer trust on platform and repurchase intention. The level of commitment toward the consumer by the platform is strongly related to the degree of consumer trust, which is reciprocated through re-purchase intentions. This study offers essential theoretical implications with regards to the social exchange theory, attribution theory, and an moderating effect of the platform empathy on consumers' trust-psychological contract fulfillment relationship. Likewise, this research has significant implications for practitioners and managers.

• Atmosphere
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• v.30 no.3
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• pp.237-248
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• 2020

In order to effectively prepare for damage caused by weather events, it is important to proactively identify the possible impacts of weather phenomena on the domestic society and economy. Text mining and Network analysis are used in this paper to build a database of damage types and levels caused by heat wave. We collect news articles about heat wave from the SBS news website and determine the primary and secondary effects of that through network analysis. In addition to that, based on the frequency with which each impact keyword is mentioned, we estimate how much influence each factor has. As a result, the types of impacts caused by heat wave are efficiently derived. Among these types of impacts, we find that people in South Korea are mainly interested in algae and heat-related illness. Since this technique of analysis can be applied not only to news articles but also to social media contents, such as Twitter and Facebook, it is expected to be used as a useful tool for building weather impact databases.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.443-454
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• 2017

A positive destination image has an impact on the tourist arrivals and economic growth of the tourist destination. Recently, the content generated by sharing tourist experiences and destination information on the internet has been increasing. The online content has the potential to become a major tourist decision source and provide more in-depth materials and richer content to extract destination image, insight and tourist's perceptions of the destination. This study was designed to explore the destination image of Daegu online and draw lessons for successful image management in an era of big data. Text mining approach and social network analysis were conducted to extract destination image determining elements and assess the influence of the elements. The result showed that destination image elements related to tourist infra-structures and culture, history and art affected the overall destination image of Daegu. Destination marketers should make an effort to grasp these precise destination image and seek ways to boost competitiveness as a tourist destination.

• International Commerce and Information Review
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• v.14 no.1
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• pp.391-418
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• 2012

The use of SNS (Social Network Service) has been increasing in world society and the SNS has been used to satisfy different purposes of social groups over the years. In the beginning, the SNS were formed using e-mail, listserve, newsgroup, etc., where information was shared among relatively homogeneous groups of people. Now different groups including corporations have been using SNS such as personal web pages, blogs, Facebook and Twitter for their social media marketing. This study intends to verify the relationship between SNS use and export marketing performance. To achieve this, different types of SNS use were analyzed in order to verify their relationship with export marketing performance. The conceptual model is suggested in this paper and several research constructs are identified. The constructs used in this paper include export marketing performance, SNS use, degree of innovation, product online fitness, marketing competence, and internationalization competence. According to the results, the SNS use directly influences the export marketing performance. In addition, the factors which determine the level of SNS use are product's online fitness and organizational willingness to undertake innovation. Therefore, it is suggested to increase SNS use in different marketing purposes for future research.

• Fashion & Textile Research Journal
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• v.15 no.6
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• pp.971-976
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• 2013

This study provides insight into current social media influences and purchasing power of the young generation in that the size of both of these demographic groups will impact the apparel companies and retail market for the predictable future Denim apparel companies are aware of the discretionary spending power of the Y and Z Generations. The characteristics of current teens are so similar to college-age individuals in that they have grown up with digital technology and they prefer to communicate via social networking sites. Retailers have utilized these social media platforms in order to capture the attention of the generations. Traditionally marketing campaigns have differentiated between teens and the college-age population. However, the teens actually have larger spending power and more discretionary income. A survey consisted of 32 questions pertaining to Internet media influences, influence of people, and decision factors on decisionmaking related to purchasing selection. A random sampling of 163 females responded to a set of questionnaires. Teens, like college students desire to make their own decisions when they select and purchase denim jeans. Overall 40% of them wanted to make their own decisions when purchasing their jeans, however, a significant number are influenced by their friend's opinions (34%) and the opinions of family members (15%). However, celebrities (10%) had the least influence on their decisions. Teens, like colleges students make decisions based on the same decision factors: fit (63%), cost (23%), brand (10%) and color (2%). The most important factor in determining preference was "fit".

• Smart Media Journal
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• v.7 no.1
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• pp.45-51
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• 2018

Avian influenza (AI) is notorious for its rapid infection rate, and has a serious impact on consumers and producers alike, especially in poultry farms. The AI outbreak, which occurred nationwide at the end of 2016, devastated the livestock farming industries. As a result, the prices of eggs and egg products had skyrocketed, and the event was reported by the media with heavy emphasis. The purpose of this study was to investigate the correlation between the egg price fluctuation and the keyword changes in online news articles reflecting social issues. To this end, we analyzed 682 cases of AI-related online news articles for fourteen weeks from November 2016 in South Korea. The results of this study are expected to contribute to understanding the relationship between the actual price of eggs and the keywords from news articles related to social issues.

• Fashion & Textile Research Journal
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• v.22 no.4
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• pp.432-445
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• 2020

This study identified the utilization characteristics of individual fashion taste expression on Instagram, and examined the impact of the use of the media on the formation and change of fashion taste. The research method conducted 1:1 indepth interviews with 19 people in their 20s and 30s using 501 images for analysis. The results of this study are as follows. Posting, searching, and reading behavior on Instagram were identified in three dimensions (self-expression, information gathering, and relationship orientation). In the image of self-expression, clothes were displayed at the time so that they could be checked and applied in other ways. Accumulated posts inspired people to look back on past styles and use them to reflect on the present. A media environment that was constantly exposed to information in real time allowed people to try various styles by imitating other users' posts and share in a process of creatively exploring styles to help organize fashion tastes developmentally. Participants had selective relationships with people of similar tastes who experienced the pleasure of enjoying through the exchange of tastes in fashion. These taste mates directly influenced the formation or change of tastes, serving as a criteria for styles or presenting new styles. In this study, fashion taste was formed by individual efforts of pursuit (not a collective social class choice) and was a continuous process of constantly changing that also exploring discriminatory styles.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.2
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• pp.370-396
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• 2024

COVID-19 was declared a pandemic by the World Health Organization (WHO) on 30 January 2020. The lifestyle of people all over the world has changed since. In most cases, the pandemic has appeared to create severe mental disorders, anxieties, and depression among people. Mostly, the researchers have been conducting surveys to identify the impacts of the pandemic on the mental health of people. Despite the better quality, tailored, and more specific data that can be generated by surveys,social media offers great insights into revealing the impact of the pandemic on mental health. Since people feel connected on social media, thus, this study aims to get the people's sentiments about the pandemic related to mental issues. Word Cloud was used to visualize and identify the most frequent keywords related to COVID-19 and mental health disorders. This study employs Majority Voting Ensemble (MVE) classification and individual classifiers such as Naïve Bayes (NB), Support Vector Machine (SVM), and Logistic Regression (LR) to classify the sentiment through tweets. The tweets were classified into either positive, neutral, or negative using the Valence Aware Dictionary or sEntiment Reasoner (VADER). Confusion matrix and classification reports bestow the precision, recall, and F1-score in identifying the best algorithm for classifying the sentiments.

• International Journal of Contents
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• v.16 no.2
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• pp.78-91
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• 2020

In this study, an investigation was conducted into the influencing factors for the learning motivation of players in the game, including experience, vicarious experience, the need of achievement, the need of power, and mastery motivation. Then, a discussion was conducted regarding the role played by learning motivation, learning performance, and satisfaction with continuous use. A survey was conducted with 519 players, most at the intermediate gaming level in . As demonstrated by the results of this study, experience, vicarious experience, the need of power, and the mastery of motivation have significant positive association with the players' motivation of learning the game. Learning performance and satisfaction have a positive impact on the continuity of use. Additionally, the correlation between the need of achievement and learning motivation is insignificant. Overall, the research results confirm the significance of the social-cognitive theory relative to the learning motivation. Players began to transform, satisfied with their achievements in the game, as well as gradually evolving toward self-improvement to achieve satisfaction. It offers a new explanation and crucial reference for mastering the gaming trend among the contemporary players.

• Journal of Internet Computing and Services
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• v.19 no.2
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• pp.49-56
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• 2018

Internet news consumption is rapidly growing in Korea, and majority of that is being done through Naver, Korea's primary search engine. Naver is also the go-to search engine for smartphone use. This study analyzed 824 most popular news accessed via mobile gears; the news items were selected from Naver's 'Daily Top 10 Stories,' dating from March 2016 to December 2016. The results indicate that entertainment news were the most viewed, while political and social issue news were the most liked and commented by mobile users. With regard to news value, 'prominence' and 'impact' were the two most important factors that influenced a user's news selection process in a mobile environment. The degree of a news' 'prominence' was the most important factor that determined the number of views, while 'impact' was critical to determining "the most commented-upon" and "the most liked" news. The results also indicate that mobile news consumers prefer more dramatic storylines and events that incite public anger or grief, threaten the safety of citizens, or evoke emotional sympathy rather than 'hard news' about such subjects as politics and economics.