As social media penetrates more deeply into people's everyday lives, social commerce (a type of commerce that combines SNS features and possibility for commercial transactions) has enjoyed unprecedented growth. Shopping on Facebook is a representative example of social commerce platform that allows consumers to interact with other users, exchange information and purchase products without leaving a Facebook page. Social commerce presents great opportunities for marketers in terms of leveraging social aspects of shopping experience. It also offers a large potential for Korean companies to reach various target markets, as well as establish their presence abroad. Yet, acceptance of social commerce as a legitimate shopping channel has been slow, and consumers are still hesitant to shop via Facebook. This study draws on uses and gratification theory and the concept of perceived risk to examine how different motives for SNS use and the associated types of perceived risks can affect the purchase intention on the platform. Empirical data from 288 young users of Facebook were analyzed. Findings identified two main motives for SNS use: information-related motive and communication-related motive. Information-related motive significantly affected the intention to shop on Facebook, whereas communication-related motive did not have any significant influence. Risks associated with shopping via Facebook included delivery risk, security risk, social risk and economic risk. Overall, consumers perceived a higher level of security and social risk associated with shopping on Facebook. However, only social risk had a significant negative influence on the purchase intention. Awareness and previous experience of buying via social commerce platform positively affected consumers' purchase intention.
SNS enables people to easily connect and communicate with each other. People share information, including personal information, through SNS. Users are concerned about their privacies, but they unconsciously or consciously disclose their personal information on SNS to interact with others. The privacy of a self-disclosed person can be intruded by others. A person can write, fabricate, or distribute a story using the disclosed information of another even without obtaining consent from the information owner. Many studies focused on privacy intrusion, especially from the perspective of a victim. However, only a few studies examined privacy intrusion from the perspective of an intruder on SNS. This study focuses on the intention of privacy intrusion from the perspective of an intruder on SNS and the factors that affect intention. Privacy intrusion intentions are categorized into two types. The first type is intrusion of privacy by writing one's personal information without obtaining consent from the information owner;, whereas the other type pertains to intrusion of privacy by distributing one's personal information without obtaining consent from the information owner. A research model is developed based on motivation theory to identify how these factors affect these two types of privacy intrusion intentions on SNS. From the perspective of motivation theory, we draw one extrinsic motivational factor (response cost) and four intrinsic motivational factors, namely, perceived enjoyment, experience of being intruded on privacy, experience of invading someone's privacy, and punishment behavior. After analyzing 202survey data, we conclude that different factors affect these two types of privacy intrusion intention. However, no relationship was found between the two types of privacy intrusion intentions. One of the most interesting findings is that the experience of privacy intrusion is the most significant factor related to the two types of privacy intrusion intentions. The findings contribute to the literature on privacy by suggesting two types of privacy intrusion intentions on SNS and identifying their antecedents from the perspective of an intruder. Practitioners can also use the findings to develop SNS applications that can improve protection of user privacies and legitimize proper regulations relevant to online privacy.
Continuous use of SNS with having SNS fatigue influences users mentally as well as physically. Although it is reported that they eventually leave SNS due to experience of fatigue, the determinants of SNS fatigue have not been discovered yet. Thus this study aims to find the psychological factors causing SNS fatigue. This study (1) found out the factors causing SNS fatigue, and (2) explored the relationships between the factors and intentions to discontinue/continue to use SNS. Findings of the study suggested that there are seven types of determinants: Sense of relative deprivation, Relationship concern, Management burden, Information overload, Privacy concern, Reputation concern(after posting), Reputation concern(before posting). It is also found that sense of relative deprivation negatively predicted the intention to keep using SNS while management burden, reputation concern(before posting) predicted positively. Furthermore, the sense of relative deprivation and information overload positively predicted the intention to discontinue using SNS while reputation concern(before posting) predicted negatively. This research examined how the determinants of SNS fatigue affect the intentions to keep/stop using SNS from the two different points of view. The determinants of SNS fatigue experienced by SNS viewers influenced them to have intentions to stop using it, whereas those felt by SNS writers affected them to keep using it.
Purpose Social networking service (SNS) platforms employ distinct networking strategies to meet the varying needs of their users, resulting in divergent sets of technological functionalities offered by each platform. Consequently, unique features on various SNSs give rise to distinct social issues. Moreover, the available technical coping mechanisms for users vary significantly across platforms. Design/methodology/approach Therefore, this study analyzes the factors affecting technical coping intention based on technical functions of SNSs for users exposed to cybercrime, such as sexual harassment. We divide coping intention into active and passive coping intention. Furthermore, this research focuses on trust as an antecedent of coping intention and verifies how human and system-like trust affects two coping intentions in different directions. Findings Findings reveal that system-like trust significantly affects both active and passive coping intention as a belief in whether the technology will work properly. However, in the case of human-like trust, trust in the platform provider was found to negatively affect passive coping, which is considered unsocialized behavior on SNS platforms. Therefore, both human-like and system-like trust for the platform must be appropriately applied to cope with the problem while activating the platform.
Recent popularity of the smartphone market, with the explosive growth of mobile location-based SNS(Social Network Service), is into the mainstream. SNS aims to cooperate and share information with all users, but mobile SNS is still not easy people with disabilities. In addition to using the Web, it has difficulty to provide an appropriate interface to access such as smartphone for people with disabilities. This paper will specify and analyze the context-awareness technology and SNS function, and study a variety of information that students with disabilities such as time, location and activity states including data collection and analysis of the situation by converting the status information. It has provide that students with disabilities to lead comfortable life in school according to the various types of disabilities, and school information and safety services using mobile location-based SNS.
Journal of the Korean Society of Clothing and Textiles
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v.42
no.1
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pp.1-13
/
2018
The influence of the emotion of envy as a variable in the brand attitude has increased. This study validates the influence of envy types, brand awareness, and regulatory focus chronic of consumers on favorability of luxury fashion brand. This study was designed with the mixed factorial design of 2 (envy types: benign vs malicious) ${\times}$ 2 (brand awareness types: high vs low) ${\times}$ 2 (regulatory focus chronic types: promotion focus vs prevention focus). The data for this research was collected from a questionnaire distributed to 302 subjects aged between 20 and 39 in the Seoul and Gyeonggi areas; consequently, a total of 275 data were analyzed. Data were analyzed with SPSS 23 program and three-way ANOVA, Simple interaction effects and simple main effects analysis were conducted. The results of this research were as follows. First, envy type and brand awareness showed significant interaction for the favorability of a luxury fashion brand. Second, envy type, brand awareness, and consumers' regulatory focus chronic showed significant interaction on the favorability of luxury fashion brand. Based on the findings, the characteristics of consumers' regulatory focus in brand attitude must be taken into consideration by luxury fashion brand marketers. The use of SNS strategies to induce emotions of benign envy through the comparisons to close acquaintances is recommended in order to raise brand preferability.
This study examines the trend and issues of sociological studies of social network service(SNS). For this purpose, the studies were classified into three types. The first type of study concerns spatial characteristics of SNS. It deals with the impact of such SNS usage on individual attitudes and behaviors. The second type of the study focuses on the formation process of interrelationship among users. It is based on sociological concepts such as trust and social capital. The last type of study emphasizes the impact of SNS on society. The study includes the issues of social movement and political participation. In the future study of SNS, more diverse sociological subjects, such as social integration, exclusion, public welfare, and affective support need to be dealt with.
This study systematically analyzed types of fashion brand application focusing on accounts created in Korea. While referring to 'Chanel' which has developed a fashion brand app for the first time in August of 2008, not only for App store by Apple Inc. of the greatest market share but also for Android market, the one and only competitor of App store, the study examined cases of fashion brand app in Korea and foreign countries which have been in service till August of 2013 since the year of 2008. To achieve the research goal, the study conducted a literature research and a case review, categorizing the app by their distinctive functions which were Basic Information, SNS, AR, LBS, Entertainment, Mobile Shopping and Live Streaming. As for the first function, Basic Information, it was considered to provide information on a brand such as prices, sizes and colors of products which should be the most fundamental function of a fashion brand. The function would include look book, catalogues, photographs and others of products, helping users of the app with their understanding on images and concepts of the brand. Second, SNS function was considered useful for its mobility and communication and with the help of theirs, the users share fashion information with each other. Third, AR function as in a filed of virtual reality would edit virtual objects to look real in an actual environment. This would eventually offer the users a chance to try for clothes virtually. The fourth function, LBS, would work with GPS to find a store closest from a present location. This would be a help when the users try to find stores holding promotion events or trails while hiking in mountains. The fifth Entertainment function would include all sorts of games and chances for the users to listen to music and keep fashion diaries. The sixth function, Mobile Shopping, would help the users purchase items online via the app as they would not visit a store in person. The seventh function, Live Streaming, would give the users chances to actually see fashion collections in real time, held all over the world in every season. Because of this function, not only fashion experts but also regular people have become able to enjoy the fashion shows. The distinctive characteristics of the fashion brand application discussed in the study will be a useful reference when any relevant fields try to design other new fashion brand application.
Purpose One of the main characteristics of Social Network Service(SNS) is that users in an open space makes posts through voluntary participation and sharing among them. This makes SNS a very attractive channel to companies that need to send their messages to consumers. As a matter of fact, there are many companies doing marketing activities through a platform of Fan Page as a space for corporations and consumers to act together. This study defines the values and types of companies' advertising posts on Facebook, empirically analyzes the results of them, and investigates factors that could enhance the customer engagement. Design/methodology/approach A research model was built to demonstrate which values and types of posts were combined by corporations' posts on Facebook and create their messages and which of those combinations would lead to high results of customer engagement. Findings The results show differences in the values of posts between the group of high customer engagement and the other group on Facebook. This study makes its contribution by conducting elaborate analysis of posts on Facebook and thus proposing marketing strategies that companies, which had difficulties with systematic marketing activities due to cost limitations, could use on Facebook.
International Journal of Computer Science & Network Security
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v.23
no.11
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pp.59-66
/
2023
Text mining (TM) is most widely used to find patterns from various text documents. Cyber-bullying is the term that is used to abuse a person online or offline platform. Nowadays cyber-bullying becomes more dangerous to people who are using social networking sites (SNS). Cyber-bullying is of many types such as text messaging, morphed images, morphed videos, etc. It is a very difficult task to prevent this type of abuse of the person in online SNS. Finding accurate text mining patterns gives better results in detecting cyber-bullying on any platform. Cyber-bullying is developed with the online SNS to send defamatory statements or orally bully other persons or by using the online platform to abuse in front of SNS users. Deep Learning (DL) is one of the significant domains which are used to extract and learn the quality features dynamically from the low-level text inclusions. In this scenario, Convolutional neural networks (CNN) are used for training the text data, images, and videos. CNN is a very powerful approach to training on these types of data and achieved better text classification. In this paper, an Ensemble model is introduced with the integration of Term Frequency (TF)-Inverse document frequency (IDF) and Deep Neural Network (DNN) with advanced feature-extracting techniques to classify the bullying text, images, and videos. The proposed approach also focused on reducing the training time and memory usage which helps the classification improvement.
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