• Asia Marketing Journal
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• v.9 no.3
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• pp.117-149
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• 2007

It can be explained by congruity theory as a process that consumers engage in a matching process to identify personal community that is congruent with their self-images to find the identification between the self and the personal community. Personal community cues that evoke certain images are viewed as activating similar beliefs about the self (e.g., high status). Individuals prompt a comparison process to determine whether the personal community and self-image are congruent and imagine prototypical users of the personal community and select ones that maximize similarity to their actual or desired self-concept. Identity is devided into personal identity and social identity. Consumers are likely to be influenced by both personal identity and social identity. In this article the influencing factors of the commitment to on-line personal community are explored by the sources of both personal identification and social identification. The results are as follows. The maintenance expression and enhancement expression of personal self influence the level of personal identification positively and the maintenance expression and enhancement expression of social self influence the level of social identification positively. The level of both social and personal identification positively influence the commitment to on-line personal community which gives positive responses to the source enterprise that allows the cyberspace and the other benefits to be used.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.9
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• pp.916-927
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• 2012

In the $21^{st}$ century, woman leaders are able to influence society through improved social status and economic power. From 1980-1990 there was a rapid global social development of feminism and improved media perceptions. The progression of this process is reflected by female characters in feminism films that included a new dress style. The power suit emerged in the U.S.A of the 1980s, as a dress code that showed the workplace uniform of a professional woman and spread to Korea as an influential style. This study defines the different and similar aspects in the development of women's position and the role involved in a structural background through a comparison of the socio-cultural meaning of the power suit expressed in American and Korean feminism films. For analysis, this study chose American films in the 1980s and Korean films in 1990s that fulfilled elements about feminism films. Subsequently in American feminism films, the power suit expressed an equal authority with men, strategic use of femininity according to task type, and a dissipation of symbolic effects like a rich look. In Korean feminism films, the power suit expressed an end of femininity like female transvestite, independent female images with the masculinization of appearance, and a mix of new and traditional styles.

• Journal of the Korean Data and Information Science Society
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• v.16 no.3
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• pp.557-566
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• 2005

Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. In this paper we used k-means clustering of several clustering techniques. The k-means Clustering Is classified as a partitional clustering method. We analyze 2002 Gyeongnam social indicator survey data using k-means clustering techniques for environmental information. We can use these outputs given by k-means clustering for environmental preservation and environmental improvement.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2003.05a
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• pp.244-248
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• 2003

Recently social demands of fuel economy and environmental regulations require the development of light materials and new manufacturing technologies. In this point, the aluminum tube hydroforming process which is satisfied with good strength-to-weight ratio and recyclability is innovative concept. However the level of the aluminum tube hydroforming technology is low in comparison with that of steel tube hydroforming. In this paper, the hydroformability of aluminum tubes in different heat treatments is presented. Theoretical results for forming limits of the wrinkling and bursting are compared with experimental results of aluminum tubes.

• 한국데이터정보과학회:학술대회논문집
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• 2004.10a
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• pp.77-86
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• 2004

Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. In this paper we used k-means clustering of several clustering techniques. The k-means Clustering is classified as a partitional clustering method. We analyze 2002 Gyeongnam social indicator survey data using k-means clustering techniques for environmental information. We can use these outputs given by k-means clustering for environmental preservation and environmental improvement.

• The Journal of the Korea Contents Association
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• v.9 no.3
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• pp.270-277
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• 2009

As social diversity is increased recently, conflict between government and non-government organizations is also being increased. This conflict disturbs social development and also social cost to solve the conflict is very high. Therefore, it is necessary to set up a mediation organization which can draw reasonable decision making while minimizing social conflict. In this study, we compares Samangeum reclamation project and Youngweol dam case to find out how their recognition framings are formed, confronted, or adjusted and also how the process affects their conflict.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.363-372
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• 2022

The purpose of this study is to investigate COVID-19's impact on firm survival, as well as the management accounting system's role in adjusting operation efficiency for business survival. Two sets of data comprising small enterprises in the service sector were used. The first business group serves customers who have changed their lifestyle to a new normal. The second business group serves customers who are affected by social distancing measures. The data was collected based on an in-depth interview method. The data was then evaluated using content analysis and analytic comparison. The results show that the COVID-19 situation positively impacts the business survival of the service businesses group that serves customers who have changed lifestyles. However, COVID-19 has a negative effect on the survival of service business groups that serve customers affected by social distancing measures. In addition, the management accounting used during COVID-19, small enterprises have analyzed the operating environment and used the information stored in the database to determine goals for the operation. This study provides comprehensive economic effects and the utilization of management accounting systems. The accounting systems helped to decide to adjust the operation process during the quick changing of the environment of the small enterprise in the service sector.

• 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.

• The Journal of Fisheries Business Administration
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• v.38 no.1 s.73
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• pp.19-45
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• 2007

There have not been many studies which considered both quantitative and qualitative location factors on the issues of site selection problems for a fish farm. This study develops AHP(analytic hierarchy process) model to resolve site selection problem for a fish raising farm by using quantitative and qualitative factors. In order to evaluate the validity of the location factors found in the literature review, the study used advice from fish raising farmers and related academic experts. Four major factors have been selected as economic factors, social factors, natural environmental factors and infrastructures. An AHP structural diagram has developed by considering the factors and potential sites proposed for fish farming. Through the survey on the preference of factors and potential sites, pairwise comparison matrices have been estimated and used to calculated the relative weights of each potential site. The AHP model process shown in the study can be applied to resolve site selection problems for fish raising farmers.

• Journal of Korean Society of Forest Science
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• v.95 no.6
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• pp.696-704
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• 2006

This study was carried out to evaluate the forest sustainability index of metropolitan and provincial districts in Korea. The forest sustain ability was assessed on the bases of economic, social, environmental axes (phase), which are essential for sustainable development, and establishment. Score of importance for each phase was analyzed by the pairwise comparison of analytic hierachy process (AHP). The forest sustainability indices were measured by 15 indicators of each 3 indicators in economic, social and environmental aspects and 6 indicators in the establishment of infrastructure. The extra weight values of indicators were assigned by the value sum weight method. The forest sustainability indices were assessed for each phase, forest management and health, and integrated index, based on the data from 1995 to 2004. The forest sustain ability indices showed the highest score of 71.8 in Gyeongsangbuk-do and the lowest score of 22.9 in Incheon as of 2004.