• Journal of Information Technology Applications and Management
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• v.20 no.3
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• pp.1-18
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• 2013

Software architecture is the blueprint for a software system and should provide consistent guidelines for design, implementation, and maintenance throughout the entire lifecycle of the system. Components, interactions between the components, well-formed structure, reasons, and various perspectives reflecting various stakeholders' concerns changing through the phases of software lifecycle are the key elements of software architecture. The architect identifies and engages the stakeholders, understands and captures stakeholder's concerns including those regarding life cycle, and lets the concerns reflected in the architecture. To do so, architect should take into consideration various contextual elements regarding the system too. We make an extended list of the elements, especially those of business application software architecture, that the architect should take into consideration and construct a model of the relationships between the elements.

• Journal of Information Technology Applications and Management
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• v.9 no.4
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• pp.179-204
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• 2002

The purpose of this study is to empirically Investigate the critical success factors affecting the participation of B2B e-marketplace from a perspective of buyers and sellers. The research model presented in this study suggests that the success of B2B e-marketplace depends on the degree of participation of buyers and sellers. It is hypothesized that the participation of buyers and sellers is related with several contextual factors. The contextual factors included: (a) industry and market factor; (b) Internal environment factor; (c) product factor; (d) Inter-organizational factor; and (e) B2B e-marketplace system and strategy factor. An analysis of data from 31 buyer firms and 31 seller firms reveals that those five factors have a significant effect on the participation and success of B2B e-marketplace. The implications of the study are discussed and further research directions are proposed.

• Korean Journal of Human Ecology
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• v.23 no.4
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• pp.633-652
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• 2014

The purpose of this study was to investigate the effect of personality traits of the middle aged on quality of life while mediated by self-concepts such as self-efficacy and self-derogation, as well as while moderated by subjective socio-economic variables such as economic status, social activities and employment. To verify the conceptual causality model and moderating effects of contextual variables, we analysed 353 cases out of purposively collected 400 cases from a medium sized city. As results, first, conscientiousness of personality traits positively affected quality of life of the middle aged while mediated by self-concepts. Second, neuroticism of personality traits negatively affected quality of life while mediated by self-concepts. Third, agreeableness of personality traits did not eventually affect quality of life, although affected negatively on self-efficacy and positively on self-derogation. Fourth, socio-economic variables such as economic status, social activities and employment moderated various paths in the model, which indicated dynamics of internal variables were affected by contextual variables.

• Journal of KIISE:Software and Applications
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• v.30 no.1_2
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• pp.81-92
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• 2003

Generalized LR parsing is one of the enhanced LR parsing methods so that it overcome the limit of one-way linear stack of the traditional LR parser using graph-structured stack, and it has been playing an important role of a firm starting point to generate other variations for NL parsing equipped with various mechanisms. In this paper, we propose a conditional Action Model that can solve the problems of conventional probabilistic GLR methods. Previous probabilistic GLR parsers have used relatively limited contextual information for disambiguation due to the high complexity of internal GLR stack. Our proposed model uses Surface Phrasal Types representing the structural characteristics of the parse for its additional contextual information, so that more specified structural preferences can be reflected into the parser. Experimental results show that our GLR parser with the proposed Conditional Action Model outperforms the previous methods by about 6-7% without any lexical information, and our model can utilize the rich stack information for syntactic disambiguation of probabilistic LR parser.

• KIISE Transactions on Computing Practices
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• v.22 no.8
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• pp.387-392
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• 2016

Context-aware systems require sensor data collecting model and context representing model to provide user-demand services. Sensor data collecting model consists of sensor access information, sensor value, and definition of value types. Context representing model involves certain keywords to symbolize environmental information including the field from sensor data collecting model that is described in markup language such as XML. However, duplicated keywords could be assigned to different contextual information by service developers. As a result, the system may cause misunderstanding and misleading wrong situational information from unintended contextual information. In this paper, we propose a context classification model for collecting appropriate access information and defining the specification of context.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.559-571
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• 2020

This study was conducted to analyze the effects of person-environment fit on the job performance in the National Assembly legislative support organization. Job performance was classified into task performance, contextual performance, and adaptive performance. Impacts of each factors on the job performance were identified through structural equation model. From the results of analysis, it was confirmed that supplementary fit of officials of legislative support organization of the National Assembly had a positive effect on task performance, contextual performance, and adaptive performance. However, complementary-fit does not directly affect task performance, contextual performance, and adaptive performance. Rather complementary-fit affects job performance by the mediating role of variable self-efficacy. The implications of this study confirm that it is important to match between organization members and jobs in order to improve the job performance of civil servants in the legislative support organization. The necessity of introducing self-efficacy enhancement program into the education and training process of the legislative support organization was proposed.

• Journal of KIISE
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• v.43 no.10
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• pp.1154-1164
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• 2016

To prevent the use of one's smartphone by another user, the authentication checks the owner in several ways. However, whenever the owner does use his/her smartphone, this authentication requires an unnecessary action, and sometimes he/she finally decides not to use an authentication method. This can cause a fatal problem in the smartphone's security. We propose a sustainable android platform-based authentication mode to solve this security issue and to facilitate secure authentication. In the proposed model, a smartphone identifies the current situation and then performs the authentication. In order to define the risk of the situation, we conducted a survey and analyzed the survey results by age, location, behavior, etc. Finally, a demonstration program was implemented to show the relationship between risk and security authentication methods.

• School Mathematics
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• v.9 no.3
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• pp.375-396
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• 2007

The purpose of this study is to analyze how a mathematics teacher and a high school student make the meaning in a graph and how aspects of the interpretation of a graph are interacted during the signification process, and to suggest considerations for teaching and learning of a graph. The findings of a case study have led to conclusions as follows: All of them have a difficulty in making the meaning in a graph and construct the meaning as a nested signification model. In the process which they make the meaning, they interrelate cognitive, contextual, and affective aspects and construct interpretants. In this process, a teacher focuses on cognitive aspect, based on a qualitative approach. But a student considers contextual aspect more, based on a quantitative approach. This study suggests three considerations for teaching and learning of a graph.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.84-92
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• 2015

Advertisement market using the augmented reality has been rapidly increasing recently due to integration with LBS(location based services). This study was conducted to examine the effect and acceptance intention of mobile augmented reality advertisement through TAM(Technology Acceptance Model). 'Contextual feature,' which is a characteristic of augmented reality advertisement, was selected as an outside effective variable, and perceived usefulness and perceived ease of use, which are the core variables of TAM, and attitude of advertisement and advertisement acceptance intention were selected as important evidences of Technology Acceptance Process. Also, the relationship between each evidences were investigated. As a result of the investigation of the outside influence on the acceptance model of augmented reality advertisement, it was shown that the contextual feature of augmented reality advertisement had meaningful influence on perceived usefulness and perceived ease of use, and it was also shown that it has positive influence on the attitude of advertisement and acceptance intention of advertisement.

• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.1
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• pp.19-45
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• 2010

Virtual Communities, which are formed on the Internet, are expected to serve the needs of members for e-collaboration, e-communication, information and knowledge sharing. The executives of organizations should consider virtual community as a new innovation or knowledge pool since members share knowledge. However, many virtual community have failed due to members' low willingness to engage and furthermore to share knowledge with other members. Thus, there is a need to understand and foster the determinants of members' sense of belonging behavior in virtual community. This study develops an integrated model designed to investigate and explain the relationships between contextual factors, personal perceptions of virtual community, usability, trust and sense of belonging in using a certain virtual community. Empirical data was collected from 201 and tested using structural equation modeling (SEM) to verify the fit of the hypothetical model. The results show that the perceived usability and community trust of members significantly influences sense of belonging in using the virtual community, and information quality, system quality, familiarity on the virtual community are significantly influence the usability but not reputation. And I confirmed that perceived shared vision and responsiveness play the role of determinants in making the member's trust, perceived risk influence the making community trust in directly. The results of the study can be used to identify the motivation underlying members' sense of belonging in a certain virtual community by investigating the impacts of contextual factors and personal perceptions on virtual community, the integrated model better explains behavior than other proposed models. This study might help executives of virtual communities and organizations to manage and promote these determinants of sense of belonging to stimulate members' willingness to engage the community and futhermore enhance their virtual community loyalty.