• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.201-206
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• 2005

Our goal is aimed at positive-analyzing how quality level of mobile banking service is composed of by 22 questions from SERVQUAL of existing PZB. As a result of positive-analysis, 4 different factors-reliability, empathy, tangibilities, assurance- were deduced, different with 5 levels. Responsiveness is absorbed other dimensions. Also, we tried to find out the appropriate method between SERVQUAL method, showing the difference between the consumers' expectations and the assessment of the actual performance, and model of SERVPERF, measuring performance recognized points while dealing with the concept of SERVQUAL to scale the service qualities of mobile banking.

• Asia pacific journal of information systems
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• v.8 no.2
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• pp.69-83
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• 1998

Some simulation tools have been developed to support business process reengineering. These tools can be used to not only analyze an as-is model of the existing process but also assess the potential value and feasibility of to-be models. But most of them are restricted to analyzing and redesign of the workflow only. Little attention is paid to the organization of people and their roles. This paper Presents a new methodology for business process simulation modeling and analysis. The methodology is based on the concepts of roles and customer-supplier chains. So the proposed methodology allows for tracking people and their roles affected by reengineering the business process. It enables one to analyze and evaluate not only workflow, but roles that are part of the flow. This paper developed a simulator to systematically construct simulation models and conduct simulations easily and efficiently. A case study is also presented as an illustrative example.

• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.60-65
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• 2006

The authors map some of the current Business Models in the Massively Multiplayer Online Player scenario. These maps represent Value Creation Systems by resorting to Value Net constructs and notations, and are offered here as a proof of concept and utility. The authors claim that these mappings can enable readers, managers and IT experts, to build new insights onto such Business Models and develop requirements for Information System infrastructure. When approaching the Value Creation System as a Value Net the goal is to think outside the conceptual box of Value Chains and understand how the different activities interact, by exposing the multiplicity of value types and flows. In doing this study the authors are attempting to synthesize a new Business Model proposal that could underlie the development of an infrastructure for the collaborative creation, distribution and exploration of online massively multiplayer games, beyond the traditional producer-consumer roles.

• Journal of the Korean Society for Precision Engineering
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• v.13 no.12
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• pp.63-69
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• 1996

As the significance of quality in the sense of customer satisfaction is growing, the management of quality becomes one of the main interests in the manufacturing systems research. This paper presents the concept of quality-driven CIM(Computer Integrated Manufacturing) system which is composed of a business process domain and a quality domain. In the business process domain, business functions are integrated by conventional design and manufacturing databases on the one hand, and an integrated quality system is interlinked to them via several quality modules on the other hand. Quality information model connects the business process domain with the quality domain where various types of quality data are stored in the form of quality database. This framework helps a manufacturing enterprise to implement the quality-driven CIM system to achieve its final objective "customer satisfaction".ion".uot;.

• Journal of Korean Society for Quality Management
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• v.49 no.2
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• pp.201-211
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• 2021

Purpose: This paper proposes a density adaptive grid algorithm for the k-NN regression model to reduce the computation time for large datasets without significant prediction accuracy loss. Methods: The proposed method utilizes the concept of the grid with centroid to reduce the number of reference data points so that the required computation time is much reduced. Since the grid generation process in this paper is based on quantiles of original variables, the proposed method can fully reflect the density information of the original reference data set. Results: Using five real-life datasets, the proposed k-NN regression model is compared with the original k-NN regression model. The results show that the proposed density adaptive grid-based k-NN regression model is superior to the original k-NN regression in terms of data reduction ratio and time efficiency ratio, and provides a similar prediction error if the appropriate number of grids is selected. Conclusion: The proposed density adaptive grid algorithm for the k-NN regression model is a simple and effective model which can help avoid a large loss of prediction accuracy with faster execution speed and fewer memory requirements during the testing phase.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.691-697
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• 2007

UCC comes into the spotlight as keyword to lead forward web business with appearance of web 2.0 that has characteristic of 'participation, opening and sharing'. Despite continuous magnification of UCC's influence by spread of prosumer that consuming public participates actively in production and development of new platform, there is no clear business model of UCC. So, inside and outside of the country industry is trying various effort to break this situation. As basis research for establishment business model of UCC, this paper wished to examine the prospects of development by analyzed present condition of UCC service. That is, it drew problems of UCC service after examine concept and type of UCC, direction technology development and profit model through analyzed foreign countries and domestic example of UCC's service. It wished to watch the development direction of UCC service from that.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.461-472
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• 2020

In recent decades, the research field of entrepreneurship phenomenon has significantly increased in both quantity and sophistication. In Vietnam, paradoxically, while creating a new business venture has become a tendency, the interest in studying entrepreneurs seems not to be thoroughly investigated. This research aims to evaluate the factors that affect the entrepreneurial intention of information technology (IT) students in Vietnam. The authors make use of mixed methods including both quantitative research method and qualitative research method. The qualitative research method is employed to identify meanings, confirmations, adjustments, and compliments for concept-measurement variables in the conceptual model. Quantitative research is conducted from a sample of 424 IT senior students across many universities in Vietnam. Questionnaires have been sent to students to evaluate the measurement scale and appropriateness of the research model. Results from multiple regression highlighted five independent variables affecting the dependent variable, the entrepreneurial intention, in a descending order as following: entrepreneurial educational environment, personal characteristics, perception of feasibility, entrepreneurial supports, and financial accessibility. In addition, this research has proved that the variable attitudes towards entrepreneurship partially mediated among the interrelationship of the aforementioned variables. From this research, the authors make some recommendations to enhance entrepreneurial intentions of IT students in Vietnam.

• Smart Media Journal
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• v.7 no.3
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• pp.57-63
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• 2018

With many types of data generated in the shift of business environment as a result of growth of an organization or enterprise, there is a need to improve the data-processing efficiency in smarter means with a single domain model such as Data Lake. In particular, creating a logical single domain model from physical partitioned multi-site data by the finite resources of nature and shared economy is very important in terms of efficient operation of computing resources. Based on the advantages of the existing Data Lake framework, we define the CDA-Concept (connected data architecture concept) and functions of Data Lake Framework over Abyss Storage for integrating multiple sites in various application domains and managing the data lifecycle. Also, it performs the interface design and validation verification for Interface #2 & #3 of the connected data architecture-concept.

• Journal of the Korean Society of Costume
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• v.53 no.5
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• pp.155-169
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• 2003

The purpose of this study was to find out criteria for classifying fashion brand from the viewpoint of fashion business practice in order to develop strategy of fashion brands and to manage brand effectively and systematically, and to suggest theoretical frame for application of these criteria. Survey was implemented for this research. 388 Data from the people who works for merchandising, sales or design in fashion business company was analyzed. Questionnaires were developed based on 37 fashion brand classification criteria. SPSS package and LISREL program were used to analyze data. Factor analysis, one-way ANOVA, $$\mu$tiple response analysis, correlation analysis, and structure equation model analysis were applied. The results of this study were as follows First, factor analysis considering 37 classification criteria identified 7 factors as classification criteria which can be used effectively by fashion business company. Second, in two cases, based on the job description and the responsible items, analysis showed that importance of the 7 classification criteria factors was different. And all of 7 criteria were correlated to each other. Third, the effective method to classify fashion brands was proposed by establishing the model of the relationship among the values of 7 criteria and by proving it by the structure equation model analysis. And the two types of the courses to classify fashion brand were shown. Forth, according to the evaluation of these criteria in the importance of appropriateness and difficulty of implementing, classification criteria factor of "the level of product concept" was found to be very effective and "the level of brand value" was ineffective to apply.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.41-52
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• 2020

This paper investigates the stress-reducing preventive maintenance model through numerical experiments. The preventive maintenance model is used to analyze the relationship between related conditions and variables to gain insight into the efficient operation of the system when performing preventive maintenance in real-world situations. Various preventive maintenance models have been developed over the past decades and their complexity has increased in recent years. Increasing complexity is essential to reflect reality, but recent models can only be interpreted through numerical experiments. The stress-reducing preventive maintenance is a newly introduced preventive maintenance concept and can only be interpreted numerically due to its complexity, and has received little attention because the concept is unfamiliar. Therefore, for information purposes, this paper investigates the characteristics of the stress-reducing preventive maintenance and the relationship between parameters and variables through numerical experiments. In particular, this paper is focusing on the economic feasibility of stress-reducing preventive maintenance by observing changes in the optimal preventive maintenance period in response to changes in environmental stress and the improvement factor. As a result, when either the environmental stress or the improve effect of stress-reducing preventive maintenance is low, it is not necessary to carry out the stress-reducing preventive maintenance at excessive cost. In addition, it was found that the age reduction model is more economical than the failure rate reduction model.