• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.358-368
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• 2022

Social media is a window for everyone, individuals, communities, and companies to spread ideas and promote trends and products. With these opportunities, challenges and problems related to security, privacy and rights arose. Also, the data accumulated from social media has become a fertile source for many analytics, inference, and experimentation with new technologies in the field of data science. In this chapter, emphasis will be given to methods of trend analysis, especially ensemble learning methods. Ensemble learning methods embrace the concept of cooperation between different learning methods rather than competition between them. Therefore, in this chapter, we will discuss the most important trends in ensemble learning and their applications in analysing social media data and anticipating the most important future trends.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.3
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• pp.1-17
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• 2022

The purpose of this study is to suggest a plan to improve the level of acceptance of related technologies and the transition to smart factories of small and medium-sized manufacturing enterprises by using 'technology readiness' and 'integrated technology acceptance model'. To this end, the research hypothesis was verified by collecting questionnaire data from 130 small and medium-sized manufacturing companies in Korea and conducting path analysis. First, optimism affects performance expectations, social influence, and facilitation conditions, innovation affects performance expectations, effort expectations, and social influence, discomfort affects performance expectations, social influence, and facilitation conditions, and anxiety affects effort expectations, social influence and facilitation conditions. has been proven to affect Finally, performance expectations, effort expectations, social influence, and facilitation conditions were verified to have a significant positive effect on the intention to accept technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2048-2061
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• 2014

This paper redefines the concept of social shopping as the part of social commerce and identifies the significant factors to the customer satisfaction and repurchase intention for the social shopping using the factor analysis based on the selected elements from the previous research results. Structural equation modeling(SEM) result shows that 3 significant factors to the customer satisfaction are price, convenience of web site use and fun. But Security, reliability, diversity did not affect significantly satisfactorily. From the resulting factors to the customer satisfaction, users of social shopping seems to be satisfied with site entertainment like looking around and comparison shopping. The main purpose of visiting social shopping sites is considered as not only purchase of goods or services but also entertainment in the community and cyberspace. The results of this study, it provides an indication of the aspects of marketing that can be used in social shopping practice.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3798-3814
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• 2022

Social recommendation algorithm can alleviate data sparsity and cold start problems in recommendation system by integrated social information. Among them, matrix-based decomposition algorithms are the most widely used and studied. Such algorithms use dot product operations to calculate the similarity between users and items, which ignores user's potential preferences, reduces algorithms' recommendation accuracy. This deficiency can be avoided by a metric learning-based social recommendation algorithm, which learns the distance between user embedding vectors and item embedding vectors instead of vector dot-product operations. However, previous works provide no theoretical explanation for its plausibility. Moreover, most works focus on the indirect impact of social friends on user's preferences, ignoring the direct impact on user's rating preferences, which is the influence of user rating preferences. To solve these problems, this study proposes a user bias drift social recommendation algorithm based on metric learning (BDML). The main work of this paper is as follows: (1) the process of introducing metric learning in the social recommendation scenario is introduced in the form of equations, and explained the reason why metric learning can replace the click operation; (2) a new user bias is constructed to simultaneously model the impact of social relationships on user's ratings preferences and user's preferences; Experimental results on two datasets show that the BDML algorithm proposed in this study has better recommendation accuracy compared with other comparison algorithms, and will be able to guarantee the recommendation effect in a more sparse dataset.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.1
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• pp.97-113
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• 2003

In numerous studios of Technology Acceptance Model ( TAM ), the social Influence construct has been operationalized as subjective norm. This study Proposes to stretch two construct to Include two more constructs : image and visibility. This paper also questions about the paths regarding this comprehensive construct. Due to the controversies regarding the significance of social Influence on IS usage, this study taps the possibility that social influence works as an antecedent to PU (Perceived Usefulness) and PEU ( Perceived Ease of Use) We could find the significant differences In path coefficients depending on how social Influence Is operationalzied.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.213-224
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• 2024

This study utilizes Roland Barthes' semiotic theory to explore how interface design elements of beauty camera apps, such as filters and stickers, icons and buttons, layout and structure, function as symbols of self-expression, and their impact on users' social identity and personal image. Through in-depth analysis of applications like BeautyPlus, Ulike, MeituPic, and Faceu, this research found that these apps emphasize usability, visual appeal, and social interactivity in their design. These elements not only enhance user experience and operational efficiency but also reflect popular cultural trends and aesthetic preferences. From Barthes' perspective, these interface elements have become "myths" with specific social meanings, which are naturalized in daily use and promote the widespread acceptance of particular aesthetic standards. These interface design elements are not just tools for self-expression; they are also powerful cultural symbols that shape modern social interactions and visual culture. This research offers a new perspective to understand the interactions between individuals and society in the digital age, emphasizing the role of technology, culture, and social interaction in shaping contemporary human behavior and social relationships.

• Journal of Animal Environmental Science
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• v.19 no.2
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• pp.149-154
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• 2013

This study was conducted to investigate the expression of harmful social behaviours in breeding pigs. Totally 64 pure breed pigs were assigned to determine the effect of breed (Yorkshire and Duroc) and sex (male and female) on the expression of each harmful social behaviours at the GGP level commercial breeding farm. Sucking, bothering, fighting and pushing behaviour were selected the notable harmful social behaviour. The most prevailing and the highest proportion of time spent in harmful social behaviours were bothering and sucking, respectively. Total frequency of bothering and fighting were more in Duroc than Yorkshire. Yorkshire had more proportion of time spent in sucking whereas fighting was more in Duroc. According to sex, female pigs had more frequency of sucking and pushing whereas fighting was significantly more in male pigs. The female pigs showed more time spent in sucking whereas bothering and fighting was more in male pigs.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.91-109
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• 2005

According to traditional theories of information systems, one of the reasons for using information technology is that users believe it to be helpful or useful for what they want to do, which is called extrinsic motivation. However, in addition to extrinsic motivation, there are other reasons for using it such as enjoying or playing with information technology itself, called intrinsic motivation, and just others around users, called social influence. The objective of this study is to provide a research model for using information technology considering intrinsic and extrinsic motivation, and social influence. For validation of this model, we survey the users of 'Minihompy' since it is one of the most popular blog services in Korea and there are relatively clear extrinsic and intrinsic motivation, and social influence respectively in using it. By analysing 549 valid samples by Partial Least Square(PLS), we show the suggested research model to be a valid one. That is, all hypotheses we suggested turn out to be statistically significant and $R^2$ of the dependent variable, the intention of use, explaining by the model to be higher than 40%. In addition to validation of the research model, it is found that intrinsic motivation may be more important than extrinsic motivation and social influence in using information technology.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.145-158
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• 2015

Currently, Social Commerces have increasingly gained popularity with the growth of Social Network Services (SNS). As the applications of smartphones are being applied in widespread areas, social commerces in the smartphone environment have entered a new chapter. The applications of social commerces on smartphones are widely used, which has increased the market share of social commerces exponentially. Thus, we tried to find out factors which may affect the user acceptance of social commerces in the smartphone environment. We develop a research model to examine how social commerces in the smartphone environment are accepted by users based on the academic factors-switch costs, trend-seeking tendency, richness in media. The theoretical model is validated through an survey of social commerce users in the smartphone environment from the undergraduates and the graduates in Seoul, Korea. The structural equation analysis is conducted based on the partial least square (PLS) approach. The results reveal that the switch cost will have positive mediating influences to the intention to use social commerce in the smartphone environment. We also find that the perceived usefulness of the smartphone is affected by the media richness. The results also suggest that the trend-seeking tendency has no influences to the users of social commerces in the smartphone environment. Also, theoretical and practical implications are discussed. The findings are believed to increase our understanding an interesting mobile phenomenon, as well as making contributions.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.93-102
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• 2019

This study is to examine the effects of business management competency, organizational management competency, relationship formation competency, marketing competency, and entrepreneurship, which are perceived by organizational members of social enterprise, on organizational performance, economic performance and social performance. The results of this study are as follows. First, the business management competency of the executives influencing the economic performance, which is the organization performance of the hypothetical social enterprise, was adopted. In other words, the organizational management competency (H1-1), the relationship formation competency (H1-2), the marketing competency (H1-3), and the entrepreneurship (H1-4), which are executive business management competency, have a positive effect on the organizational performance of the social enterprise respectively. Second, Hypothesis 2 indicates that the business management competency of social enterprise executives has a positive effect on organizational performance, social performance, and Hypothesis 2 has been adopted. In other words, the business management competency of the management on the social performance of the social enterprise is in the order of relationship forming competency (H2-2), marketing competency (H2-3), organizationalmanagement competency (H2-1), entrepreneurship (H2-4) Showed high influence. The higher the relationship formation competency, marketing competency, organizational competency, and entrepreneurship, which are the business management competency of the social enterprise management, the economic social performance of the social enterprise is more improved.