• Culinary science and hospitality research
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• v.20 no.5
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• pp.1-10
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• 2014

The employment rate has become the standard for university values. This raises the need to investigate the antecedents of university students' career exploration. Focused on the hospitality majored students, this study aims to investigate both individual and relational factors that influence their career exploration behaviors. Differentiation of self has been chosen as the individual and the relational antecedents based on Bowen's theory. It was investigated whether each dimension(I-position, emotional reactivity, fusion with others, and emotional cutoff) explains the amount of self-exploration and the amount of environmental exploration. The university students majoring in hospitality were surveyed and a total of 269 cases out of 300 cases were analyzed employing descriptive statistics and multi-variate analysis of variance, and structural equation modeling(SEM). The study found that I-position positively influenced self-exploration and environmental exploration. Emotional reactivity made an influence on environmental exploration, while it failed to explain self-exploration. Fusion with others and emotional cutoff also significantly influenced environmental exploration, however, it didn't make any significant influence on self-exploration. This study implies that the college of hospitality majors needs to understand that differentiation of self forms through family relationship and needs to provide the students the programs of how to understand themselves and what to do for their career exploration.

• Asia Marketing Journal
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• v.9 no.3
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• pp.33-73
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• 2007

This paper explores major factors that drive relationship quality and strength in business-to-business transactions. Three major factors, including offering characteristics, managers' interpersonal factors (similarity, expertise), and relational factors (relationship length, cooperation, and dependence), were proposed to affect relationship quality, and indirectly affect relationship strength. In addition, both economic/instrumental dimension (offering characteristics) and affective, relational dimensions (trust and commitment) are also expected to influence relationship strength. In the empirical study which used the textile-dyeing company managers' ratings of local exporters, structural equation modeling presented a well-fit evidence that relationship quality variables and strength are influenced by their proposed antecedents. Specifically, it was found that all characteristics (except relationship length) have direct effect on their relationship quality with local exporters, and indirectly impact on relationship strength which was measured along dimensions of intention to continue the business relationship in the future and the current share of business given to a local exporter. Together with the minor influence that instrumental dimension (offering characteristics) has on relationship strength, this study suggests that the willingness to remain in business relationship or current proportion of business shared is influenced more by affective assessment like relationship quality than by calculative motivation.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.318-325
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• 2010

This study is to examine loyalty building model which reflected differentiated traits of professional service to establish strong loyalty for gaining competitive edge. Professional service is where consumer can not easily predict the result of service as well as other common traits. It also has trait that is difficult to evaluate service satisfaction and quality even after using the service because knowledge imbalance between service provider and user is great. Therefore, in professional service, satisfaction and emotion that consumer perceives in the service use process will play critical role in loyalty formation. As a result, the model of this study divided dimension into responsiveness satisfaction which is satisfaction dimension of professional service use process, interaction satisfaction, technical satisfaction and structurally examined the relationship between emotional commitment and cognitive commitment and the relationship between dimension of commitment and loyalty. The analysis result show that dimension of satisfaction which perceived in professional service use process increases both emotional commitment and cognitive commitment and these commitments effect to loyalty formation.

• The Transactions of the Korea Information Processing Society
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• v.4 no.12
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• pp.2947-2959
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• 1997

Temporal data model is able to handle the time varying information, which is to add temporal attributes to conventional data model. The temporal data model is classified into three models depending upon supporting time dimension, that are the valid time model to support valid time, the transaction time model to support transaction model, and the bitemporal data model to support valid time and transaction time. Most temporal data models are designed to process the temporal data by extending the relational model. There are two types or temporal data model, which are the tuple timestamping and the attribute timestamping depending on time dimension. In this research, a concepts of temporal data model, the time dimension, types of thc data model, and a consideration for the data model design are discussed Also, temporal data models in terms of the time dimension are compared. And the aggregate function model of valid time model is proposed, and then logical analysis for its computing consts has been done.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2643-2657
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• 2023

Scene graphs are structured representations that can clearly convey objects and the relationships between them, but are often heavily biased due to the highly skewed, long-tailed relational labeling in the dataset. Indeed, the visual world itself and its descriptions are biased. Therefore, Unbiased Scene Graph Generation (USGG) prefers to train models to eliminate long-tail effects as much as possible, rather than altering the dataset directly. To this end, we propose Geometric and Semantic Improvement (GSI) for USGG to mitigate this issue. First, to fully exploit the feature information in the images, geometric dimension and semantic dimension enhancement modules are designed. The geometric module is designed from the perspective that the position information between neighboring object pairs will affect each other, which can improve the recall rate of the overall relationship in the dataset. The semantic module further processes the embedded word vector, which can enhance the acquisition of semantic information. Then, to improve the recall rate of the tail data, the Class Balanced Seesaw Loss (CBSLoss) is designed for the tail data. The recall rate of the prediction is improved by penalizing the body or tail relations that are judged incorrectly in the dataset. The experimental findings demonstrate that the GSI method performs better than mainstream models in terms of the mean Recall@K (mR@K) metric in three tasks. The long-tailed imbalance in the Visual Genome 150 (VG150) dataset is addressed better using the GSI method than by most of the existing methods.

• Journal of Distribution Research
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• v.13 no.2
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• pp.1-27
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• 2008

In a power-asymmetry relationship like franchise system, a high dependent franchisee must often rely on its powerful partner. Therefore, in order to build up 'win-win' systems, therefore channel members should increase trust and commitment each other to enhance the relationship quality to sustain long-term cooperative relationships. First of all, to increase the relationship quality in franchise system, franchisor should increase franchisee's perception of the powerful franchisor's justice. The point of this research, I established basic hypotheses and comparative hypotheses to examine franchisor's behavior what franchisee expected which influences on franchisee's attitude and behavior in power - asymmetry relationship in franchise system. For the purpose of the empirical testing, managers of franchisee in the food service industry of Korea had been selected and analyzed, and major findings in this study as follow: First, the relational norm between franchisor and franchisee increased both distributive justice and procedural justice, especially relational norm had more effect on procedural justice than distributive justice. Second, distributive justice increased both economic commitment and social commitment while procedural justice just increased social commitment only but economic commitment. So, on the relational commitment, distributive justice was more important element than procedural justice. On the other hand, procedural justice had indirect effect on economic commitment through distributive and social commitment.

• International Commerce and Information Review
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• v.14 no.2
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• pp.55-79
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• 2012

The previous studies based on a resource-based view of firm highlighted the role of resources within a firm in creating and sustaining competitive advantage. Recent research, however, the relational view points to the importance of inter-firm sources(or relational capital) in creating firm competitiveness. In international business field, the studies on born-global firms also states that when firms are lack of ownership-specific advantages in their internationalization process, they resort to the external partners and social networks to complement their resource scarcity. By adopting the relational view and born-global firms concept, a network-based approach needs to be applied to explain the international strategy of Korean service firms. This is because most of Korean service firms own less ownership-specific advantages than global competitors. This study proposes Korean firms' global network building and exploiting strategy to enhance their international stages of development. The network, for example, Global Korean Tourism Network, enables network members access to the valuable resources and capabilities they are lack of when undergoing internationalization process. This study's contribution is along two dimension. First, even global Korean network is emerging as a major issue in recent years, we could not figure out how to build global Korean network for service firms. This studies gives an answer. Second, we derived what benefits can be gained from the network if Global Korean Tourism Network is developed for hotel, tourism, convention firms' internationalization.

• Asia pacific journal of information systems
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• v.15 no.4
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• pp.153-164
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• 2005

Nowadays, large amounts of XML documents are available in the Internet. Thus, we need to analyze them multidimensionally in the same way as relational data. In this paper, we propose a new framework for multidimensional analysis of XML documents, which we call XML-OLAP. We base XML-OLAP on XML warehouses where all fact and dimension data are stored as XML documents. We build XML cubes from XML warehouses. We propose a new OLAP language for XML cubes, which we call XML-MDX. XML-MDX statements target XML cubes and use XQuery expressions to designate measure, axis and slicer. They incorporate text mining operations for aggregating text data. We apply XML-OLAP to the United States patent XML warehouse to demonstrate multidimensional analysis of XML documents.

• Proceedings of the Korea Association of Information Systems Conference
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• 2005.05a
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• pp.65-78
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• 2005

Nowadays, large amounts of XML documents are available on the Internet. Thus, we need to analyze them multi-dimensionally in the same way as relational data. In this paper, we propose a new frame-work for multidimensional analysis of XML documents, which we call XML-OLAP. We base XML-OLAP on XML warehouses where every fact data as well as dimension data are stored as XML documents. We build XML cubes from XML warehouses. We propose a new multidimensional expression language for XML cubes, which we call XML-MDX. XML-MDX statements target XML cubes and use XQuery expressions to designate the measure data. They specify text mining operators for aggregating text constituting the measure data. We evaluate XML-OLAP by applying it to a U.S. patent XML warehouse. We use XML-MDX queries, which demonstrate that XML-OLAP is effective for multi-dimensionally analyzing the U.S. patents.

• Korean Journal of Computational Design and Engineering
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• v.3 no.3
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• pp.177-182
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• 1998

The computer related techniques have been developed rapidly in the field of metal removal industry. The electronic catalog for mechanical elements is one of such developments realized in recent years. As the emergence of the electronic catalogs in the 90s, it breaks the restriction of the traditional catalog and becomes a helpful and efficient tool in the field. In this paper, we develop an electronic catalog for the cutting tools of the Korea Tungsten Co. Ltd. The catalog consists of three parts: a preprocessor for tool selection, a database for tool, and a postprocessor for search result. A preprocessor for tool selection is developed under a user-friendly consideration. A database for tool consists of milling, drilling, and reaming tools with a list of cutters, inserts, and components. A postprocessor for search result consists of weight, dimension. drawing, product order number etc. of the tools. It also suggests the optimized cutting condition of the selected tool using a neural network technique which is done by an independent research group.