• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.1
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• pp.55-64
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• 2008

This study attempted to identify not only dimensions of clothing brand experience, but dimensions of perceived consumer-brand relationship. In addition, this study investigated the relationships among clothing brand experience, consumer-brand relationship and brand loyalty. 354 questionnaires were distributed to female and male respondents aged 20 to 30, and then analyed by SPSS and AMOS program. The results were as follows. First, it was identified that the dimension of clothing brand experience was composed of two dimensions; individual experience(personal dimension) and relational experience(social cultural dimension). Second, the type of consumer-brand relationship was found out as three dimensions; interdependence, love and passion, and partner. Third, these results showed that individual and relational experience of clothing brand was the most influential factor for love and passion dimension of consumer-brand relationship. Forth, love and passion dimension through clothing brand experience was the most influential factor for brand loyalty. Above results imply that the key of strong brand relationship lies in the emotion of love such as human relationship.

• Management & Information Systems Review
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• v.34 no.5
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• pp.295-312
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• 2015

Companies are recently emphasizing social capital that is formed by the network and trust among organization members to secure continuous competitive edge. Social capital induces the members' adaptation and immersion through the interactions with multidimensional factors within an organization, and contributes to increasing an organization's performance by causing cooperative behaviors as a passage of communications and participation. This study analyzed the influence of social capital and organizational support recognition formed in an organization on the turnover intention, and examined the moderating effect of organizational support recognition in the relationship between social capital and turnover intention. To achieve the purpose, this research conducted a survey on small and medium sized manufacturing companies in Busan and Gyeongnam and performed an empirical analysis using hierarchical regression analysis. According to the empirical analysis, the structural and relational dimensions of social capital had a negative (-) influence on the turnover intention. Especially, the relational dimension had a huge influence on the turnover intention, showing that it is important to form trust among an organization's members through their interactions. Second, organizational support recognition also had a negative (-) influence on the turnover intention, demonstrating that attention and complete support at an organizational dimension were needed for individual members. Third, organizational support recognition appeared to mediate the relationship between social capital and the turnover intention. The higher the organizational support recognition was, the lower the negative (-) influence of the relational dimension of social capital on the turnover intention was. Based on these results, this paper discussed the theoretical and practical implications of this research as well as future assignments.

• Journal of Preventive Medicine and Public Health
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• v.55 no.5
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• pp.436-443
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• 2022

Objectives: Previous studies have reported that self-neglect, which may be a sign of elder abuse, can result in suicide among older adults. The signs of self-neglect and its impact on the risk of suicide may differ by gender. Thus, this study explored the association between self-neglect and suicide risk in older Korean adults and examined the potential moderating effect of gender on this relationship. Methods: Data were collected from 356 Korean adults aged 65 or older through an online survey. Multiple regression analysis was used to test the research hypothesis. First, the associations between 4 sub-dimensions of self-neglect (i.e., daily life management issues, personal hygiene issues, financial management issues, and relational issues) and suicidal ideation were examined. Then, the moderating effect of gender on these relationships was investigated by including interaction terms. Results: Self-neglect was significantly associated with suicidal ideation in older adults. Aspects of self-neglect related to daily life management and relational factors were key predictors of suicidal ideation. Gender significantly moderated the effect of the relational dimension of self-neglect on suicidal ideation. The relational dimension of self-neglect was more strongly associated with suicidal ideation in older women than in older men. Conclusions: The findings suggest the importance of screening older adults with signs of self-neglect for suicide risk. Special attention should be paid to older women who experience relational issues as a high-risk group for suicidal ideation. Public programs and support systems should be established to improve daily life management and promote social relationships among older adults.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.4
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• pp.37-50
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• 2003

In the paper, we describe the query extension techniques for spatiotemporal query functionalities on object-relational DBMS. The spatial objects in real world change the shapes over time. Spatiotemporal databases support to manage a temporal dimension as well as a spatial dimension for history of the objects. The proposed techniques can make conventional object-relational databases to support spatiotemporal databases system by the implementation and inheritance of abstract data types. We define and implement spatial and temporal classes as superclass. And, spatiotemporal classes inherits and extends the classes. The proposed extensions make it easy that conventional database systems not only are transformed into the spatiotemporal database systems, but also do not need to be changed to support spatiotemporal applications.

• Management & Information Systems Review
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• v.36 no.5
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• pp.175-193
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• 2017

This study examines the effect of social capital formed on B to B inter - firm transactions on firm's performance through a research model developed around the mediating effect of knowledge absorption capacity. In other words, we examined how each level of social capital affects firm performance. by examining the dimensions of social capital that are not presented in previous studies, we have identified how each element of social capital affects corporate performance. in addition, the effects of knowledge absorption on firm performance are analyzed and presented in various ways. The results of the study are summarized as follows. First, social capital is divided into three dimensions. In other words, the relationship between structural elements, relational dimensions, and cognitive dimensions was verified. First, the structural dimension influenced the relational dimension, and the relational dimension had a positive effect on the cognitive dimension. this is meaningful in that it solved what is pointed out as a limit in previous studies. this is meaningful in that it verified what was pointed out as a limit in previous studies. secondly, the structural dimension influenced the cognitive dimension. Second, each component of social capital has a positive impact on knowledge absorption capacity. Finally, it was found that knowledge absorption capacity had a positive effect on the corporate culture, and it was confirmed that knowledge absorption capacity was important. the extent to which social capital is absorbed in BtoB transactions means that the performance of the two companies can be quite different.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.3
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• pp.225-240
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• 2015

This study aims to identify the factorial constructs of the relational benefits perceived by consumers of outdoor wear brands and their impacts on the consumers' trust in and satisfaction with outdoor wear brands. An online survey was conducted with females and males between the ages of 20 and 50 who have experienced buying outdoor wear brands. A total of 420 responses were analyzed by factor analysis, a reliability test, and multiple regression analysis. The results of this study were as follows: first, the results of factor analysis and the reliability test on the relational benefits perceived by outdoor wear brand purchasers clearly showed conceptual constructs that included informational benefits, social benefits, and psychological benefits. The sub-dimension of perceived relational benefits had significant effects on brand trust and satisfaction. Specifically, respondents revealed that they had higher brand trust if they felt psychologically comfortable, were offered useful information by outdoor wear brands, and had a favorable relationship with salespeople when they bought outdoor wear merchandise. Secondly, influences of perceived relational benefits on brand trust and satisfaction were not shown to differ depending on the congruity between outdoor wear brands and the purchaser's self-image. On the other hand, factors of perceived relational benefits revealed to differently have effects on brand trust and satisfaction depending on respondents' gender and age. Practical implications to understand outdoor wear target customers' relational benefits, self-image congruity and demographic characteristics and to enhance trust and satisfaction with outdoor wear brands are proposed.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.689-690
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• 2006

Relational discriminant analysis is a way of representing an object based on the dissimilarity measures among the prototypes extracted from feature vectors instead of the vectors themselves. Thus, by appropriately selecting a few number of representatives and by defining the dissimilarity measure, in this paper we propose a method of reducing the dimensionality and getting to achieve a better classification performance in both speed and accuracy. Our experimental results demonstrate that the proposed mechanism increases the performance as compared with the conventional approaches for samples involving artificial data sets.

• Korean Journal of Cognitive Science
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• v.21 no.1
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• pp.199-231
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• 2010

This study tried to contrast the relation-based and the dimension-based explanations and to suggest its implications on the noun-noun conceptual combination. In experiment 1, we investigated whether the dimension-based approach and intra-conceptual explanation can explain both thematic relational and property interpretations of conceptual combinations based upon the intrinsic and extrinsic features of constituent concepts. We defined intrinsic(or extrinsic) concepts according to the degree of dependency on intrinsic(or extrinsic) features. Property interpretation was facilitated when modifiers were the intrinsic concepts. This result implies that processing of conceptual combination can be influenced by the structures and information of constituent concepts. In experiment 2, exocentricity of the concepts used in Gagne(2000) was examined to reanalyze her data according to the dimension-based approach. The exocentricity was higher when the concepts were combined by their relational connections. Results of experiment 1 and 2 suggest the possibility that both approaches can be integrated through the diversities of information involved during interpreting conceptual combination. Implications and future directions of this study were discussed.

• Journal of Computing Science and Engineering
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• v.1 no.2
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• pp.177-194
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• 2007

Index selection is one of the most important decisions to take in the physical design of relational data warehouses. Indices reduce significantly the cost of processing complex OLAP queries, but require storage cost and induce maintenance overhead. Two main types of indices are available: mono-attribute indices (e.g., B-tree, bitmap, hash, etc.) and multi-attribute indices (join indices, bitmap join indices). To optimize star join queries characterized by joins between a large fact table and multiple dimension tables and selections on dimension tables, bitmap join indices are well adapted. They require less storage cost due to their binary representation. However, selecting these indices is a difficult task due to the exponential number of candidate attributes to be indexed. Most of approaches for index selection follow two main steps: (1) pruning the search space (i.e., reducing the number of candidate attributes) and (2) selecting indices using the pruned search space. In this paper, we first propose a data mining driven approach to prune the search space of bitmap join index selection problem. As opposed to an existing our technique that only uses frequency of attributes in queries as a pruning metric, our technique uses not only frequencies, but also other parameters such as the size of dimension tables involved in the indexing process, size of each dimension tuple, and page size on disk. We then define a greedy algorithm to select bitmap join indices that minimize processing cost and verify storage constraint. Finally, in order to evaluate the efficiency of our approach, we compare it with some existing techniques.

• Industry Promotion Research
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• v.9 no.3
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• pp.41-55
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• 2024

This study analyzes the impact of digital strategy on firm performance through relational behavior, cognitive dimensions, and continuous digital transformation based on social capital theory. The research model was tested using data collected from a survey of 300 domestic corporate employees who have worked for over a year, conducted from February 20 to 23, 2024, using Smart PLS 4.0. The key findings of the study are as follows: First, it was confirmed that digital strategy plays a crucial role in promoting cooperation and interaction within the organization, enhancing members' understanding and perception of digital technology, and strengthening the firm's competitiveness through continuous change and innovation. Second, continuous digital transformation and cognitive dimensions positively impact firm performance, while the influence of relational behavior dimensions was found to be insignificant. These findings suggest that digital strategy can significantly affect firm performance by fostering interaction and perception changes within the organization, beyond mere technology adoption, and provide strategic implications for Korean firms to effectively pursue digital transformation.