• Annual Conference of KIPS
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• 2012.04a
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• pp.586-589
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• 2012

Web Services have been utilized in a wide variety of applications and have turned into a key technology in developing business operations on the Web. Originally, Web Services can be exploited in an isolated form, however when no single Web Service can satisfy the functionality required by a user, there should be a possibility to compose existing services together in order to fulfill the user requirement. However, since the same service may be offered by different providers with different non-functional Quality of Service (QoS), the task of service selection for Web Service composition is becoming complicated. Also, as Web Services are inherently unreliable, how to deliver reliable Web Services composition over unreliable Web Services should be considered while composing Web Services. In this paper, we propose an approach on a QoS-aware Web Service selection for reliable Web Service composition. In our approach, we select and classify Web Services using Decision Tree based on QoS attributes provided by the client. Service classifier will improve selection of relevant Web Services early in the composition process and also provide flexibility to replace a failed Web Services with a redundant alternative Web Services, resulting in high availability and reliability of Web Service composition. We will provide an implementation of our proposed approach along with efficiency measurements through performance evaluation.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.152-159
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• 2021

Small local businesses such as corner shops and street markets have been severely impacted by the COVID-19 pandemic and declining consumption. A community currency is a local currency that can be used to exchange for one of the local currencies within an online community. Community currencies can be effective not only in supporting small businesses, but also in helping the local economy more vibrant, benefiting consumers in the community. An important goal of Community Currency is to foster a vibrant local economy by building mutually beneficial relationships between local business owners and customers. The purpose of this study was to identify how the existing community currencies of participating SMEs and self-employed in Seoul and Gyeonggi-do metropolitan areas contributed to commercial revitalization by category and to suggest a new or better approach to community currency operation. It also focused on presenting the best solutions for the future direction of mobile community currencies, measures that are better than current currency operations, revitalize the community and develop the economy.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.375-380
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• 2021

Internal control is important for monitoring operations of organizations. In order to achieve the quality of internal control, organizations need to recognize different perspectives in which the components of internal control play a decisive role. Internal control is a process designed by the manager and it is applied within the organization to provide reasonable assurance of the reliability of financial information and to comply with policies, procedures, rules, regulations and laws. The article uses the ordinary least squares method and the seven-point Likert scale to test the variables affecting the quality of internal control in 18 Vietnamese listed banks. The article surveyed 179 leaders of listed banks. The results show that there are three variables out of a total of five variables that positively affect the quality of internal control, including the control environment, control activities, and monitoring. Accordingly, the managers of Vietnamese listed banks need to pay attention to building a corporate culture environment, improve the quality of control activities, and periodically and regularly conduct the monitoring. It contributes to improving the quality of internal control and is also an opportunity to increase economic benefits for Vietnamese listed banks in the context of international economic integration.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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• pp.540-557
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• 2021

Privacy vulnerability of social networks is one of the major concerns for social science research and business analysis. Most existing studies which mainly focus on un-weighted network graph, have designed various privacy models similar to k-anonymity to prevent data disclosure of vertex attributes or relationships, but they may be suffered from serious problems of huge information loss and significant modification of key properties of the network structure. Furthermore, there still lacks further considerations of privacy protection for important sensitive edges in weighted social networks. To address this problem, this paper proposes a privacy preserving method to protect sensitive weighted edges. Firstly, the sensitive edges are differentiated from weighted edges according to the edge betweenness centrality, which evaluates the importance of entities in social network. Then, the perturbation operations are used to preserve the privacy of weighted social network by adding some pseudo-edges or modifying specific edge weights, so that the bottleneck problem of information flow can be well resolved in key area of the social network. Experimental results show that the proposed method can not only effectively preserve the sensitive edges with lower computation cost, but also maintain the stability of the network structures. Further, the capability of defending against malicious attacks to important sensitive edges has been greatly improved.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.81-90
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• 2018

Modern investment theory has empirically proved that stock returns can be explained by several factors such as market risk, firm size, and book-to-market ratio. Other unknown factors affecting stock returns are also believed to still exist yet to be found. We believe that one of such factors is the operational efficiency of firms in transforming inputs to outputs, considering the fact that operations is a fundamental and primary function of any type of businesses. To support this belief, this study intends to empirically study the relationship between firm efficiency and stock price performance. Firm efficiency is measured using data envelopment analysis (DEA) with inputs and outputs obtained from financial statements. We employ cross-efficiency evaluation to enhance the discrimination power of DEA with a secondary objective function of aggressive formulation. Using the CAPM-based performance regression model, we test the performance of equally weighted portfolios of different sizes selected based upon DEA cross-efficiency scores along with a buy & hold trading strategy. For the empirical test, we collect financial data of domestic firms listed in KOSPI over the period of 2000~2016 from well-known financial databases. As a result, we find that the porfolios with highly efficient firms included outperform the benchmark market portfolio after controlling for the market risk, which indicates that firm efficiency plays a important role in explaining stock returns.

• The Journal of Information Systems
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• v.27 no.4
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• pp.35-70
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• 2018

Purpose Recently, 3D factory simulation technology has emeged as a powerful tool for modeling and analysis of a wide range of production systems, however, it has been not paid much attention in Korea. In this context, this paper aims to provide a comprehensive literature review on discrete event simulation softwares and introduce a promising 3D factory simulation software called FlexSim and its application domains. Design/methodology/approach In order to demonstrate worldwide popularity and technical superiority of FlexSim software, we analyzed the recent list of rankings for commercial discrete simulation softwares released by winter simulation conference and users' opinions collected from business software review site. Moreover, several main application domains are derived from a review of the previous research papers that deal with applications of FlexSim software. Findings FlexSim software recently moved up the list of major commercial simulation softwares, and technical superiorities of the software demonstrate that it is a promising tool for practical 3D factory simulation. Moreover, recent research papers suggest that FlexSim software can be used as a component of smart factory system. In this context, it is expected that FlexSim software becomes more popular in the era of industry 4.0.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.816-818
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• 2016

The Industry 4.0 should decide work operation of manufacture facilities by itself. But small and medium sized enterprises(SMEs) still not prepared these work operations. In this paper, we had research that work operation manufacture facilities of a management system of mold life-cycle based on CPS. The management system of mold manages life-cycle using by shot, this information offers users by cloud system. This system will help SMEs products quality improve and business operation more efficiency.

• Journal of Korea Multimedia Society
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• v.22 no.9
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• pp.1036-1045
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• 2019

Relational databases have a notion of normalization, in which the model for storing data is standardized according to the organization's business processes or data operations. However, the graph database is relatively early in this standardization and has a high degree of freedom in modeling. Therefore various models can be created with the same data, depending on the database designers. The essences of the graph database are two aspects. First, the graph database allows accessing relationships between the objects semantically. Second, it makes relationships between entities as important as individual data. Thus increasing the degree of freedom in modeling and providing the modeling developers with a more creative system. This paper introduces different graph models with test data. It compares the query performances by the results of response speeds to the query executions per graph model to find out how the efficiency of each model can be maximized.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.455-463
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• 2021

The purpose of this study is to identify the relationship between firm's green marketing approach and firm's reputation improvement among customers. To investigate the object of the current study and provides adequate material to fill a gap in the literature, the current author collected abundant textual data from numerous extant literature. Because the author needed to augment about reliability and validity, textual data from trusted peer-reviewed sources was obtained from numerous databases. Based on a large body of literature, this study suggests that companies have to declare their stand based on their positioning to safeguard their reputation as an entity and that of its products and services. The five components of a company adopting a recognized environmental marketing strategy include product strategy, demand strategy, pricing strategy, distribution strategy, and labeling strategy Thus, firms' environmental marketing strategies have to be designed with the complete intent of transformation as a solution to enhance their reputation. The current study concludes that the comparison of environmental marketing strategies does not correctly help in ranking the concern in an effective way, and describe the exact details needed in each of the five categories for a company to carry its operations in a sustainable fashion.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.3
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• pp.546-558
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• 2021

As consumers' demand for corporate social responsibility (CSR) has increased, luxury fashion brands have been providing support for arts and culture as CSR activities. The purpose of this study is to examine patronage of arts and culture as corporate philanthropy and to analyze the motives luxury fashion brands have for supporting arts and culture. The study investigates patronage of arts and culture through literature reviews and conducts case studies of luxury fashion brands' patronage. The results of the analysis are as follows: first, patronage based on public interest reduces the social costs of arts and culture and helps to create aesthetic experiences for the public; second, sustainable patronage is not only priceless PR for luxury fashion brands, it also supports the development of arts and culture; third, authentic patronage obviates the criticism that luxury fashion brands only support arts and culture for the purposes of profit, by separating business operations from patronage. In conclusion, those three elements are at the heart of patronage for the arts and culture and fashion companies need to support culture and the arts by taking a long-term perspective when it comes to creating social value.