• Journal of the Korean Applied Science and Technology
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• v.39 no.2
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• pp.340-347
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• 2022

This study aimed to provide basic data on how to strengthen competitiveness and operate efficiently by differentiated selection attributes by identifying the influence between satisfaction and continuous participation intention, focusing on the selection attributes of Taekwondo studio perceived by parents. Therefore, parents who had registered at a Taekwondo studio located in the metropolitan area and participated in their children were selected as samples and surveyed from February 1 to 26, 2021, and a total of 386 copies of data were used for the final analysis. Data processing used the SPSS (ver.21.0) program to conduct frequency analysis, exploratory factor analysis, internal consistency, correlation analysis, simple and multiple regression analysis. The main results of this study are as follows. First, the selection attributes of Taekwondo studio has been shown to influence the satisfaction in the order of facilities and environment, master, cost and program. Second, the satisfaction has been shown to influence the continuous participation intention. Third, the selection attributes of Taekwondo studio has been shown to influence the continuous participation intention in the order of accessibility, facilities and environment, master and program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.260-266
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• 2018

The concept of customer utility, which affects customer's adoption, is important to understand the process of technology diffusion and substitution regarding multiple generation technology. This research defined the concept of attribute-based customer utility and developed a model for measuring attribute-based customer utility. Based on the literature review and modeling, we provided the definition and a model regarding customer utility and the accuracy of the model is verified through a case study of the semiconductor industry. Customer utility for a multiple generation technology needs to consider changes by generation, or time within the same generation, and is defined as the summation of both technological and economic utilities. In addition, we can model the measurement of customer utility after converting technological and economical attributes into utilities. This research is valuable in understanding not only customer utility as a driver of customer adoption, but also for establishing technological strategy after forecasting diffusion and substitution paths based on customer utility.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.2
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• pp.57-66
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• 2017

The academic research on data governance is still in its infancy and focused on the definition of concept and components. However, we need to study of evaluation on data governance to help make decision of establishment. The purpose of this paper is to develop of attribute index in data governance framework. Therefore, in this paper, we used RGT (repertory grid technique) and Laddering techniques for experts interview and survey for validation of disinterested third party experts and analysis statistically. We completed data governance attribute index which is composed of data compliance area including 8 components, data quality area including 16 components and data organization area including 7 components. Moreover, the evaluation attributes is prioritized and ranked using the AHP. As a result of the study, this paper can be used for the base line data in introducing and operating data governance in an IT company.

• Korea Journal of Hospital Management
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• v.18 no.1
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• pp.18-41
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• 2013

This study was aimed to identify the current status of medical service quality of medical institutes; propose improvements; and find out the impact of medical service quality by its attribute on overall customer satisfaction. The research was conducted on the out-patients and in-patients in a high-level general hospital located in A city. To examine the research, the IPA was utilized to identify the priority requirements for improving the medical service quality. The study also applied an extended theory to the analysis on mismatch between the level of satisfaction and importance recognized by the clients, to examine the impact of the above mentioned factors on the overall satisfaction and intention to revisit and recommend the hospital. For out-patients, the result showed that "hospital hygiene" had a positive and negative impact on the clients' intention to revisit the hospital in priority improvements. In terms of the sustainable improvements, "doctor's skill" had a negative impact on the overall service satisfaction, whereas "state-of-the-art facility" and "nurse's instruction" had a positive impact on the intention to revisit the hospital. In long-term improvements,"complaint remedy" had a positive impact on the intention to recommend the hospital but there were no relevant factors in excessive investment. On the other hand, for in-patients, the result demonstrated that there were no relevant factors in priority improvements and sustainable improvements. The factor of"service procedure speed"had a positive as well as negative impact on the intention to revisit the hospital. In excessive investment,"nurse's empathy"had a positive impact on the intention to recommend the hospital.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1647-1656
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• 2007

With the growing international consensus regarding sustainable development of transportation, the plan of transportation infrastructure needs to meet various requirements toward enhancing environmental conditions. Accordingly, the upcoming long-term plan of high-speed rail network has to be reflecting the sustainability of transportation systems. In this paper, we propose methodologies based on multi-attribute utility theory for determining priorities of sustainable high-speed rail investment. The proposed methodologies identify indicators for sustainable transportation systems such as economic, environmental, social, and transportation-related ones and then, explain the way how to evaluate the overall sustainability by comparing the relative importance among indicators. This will help transportation agencies to prioritize high-speed rail investment toward sustainable transportation systems.

• Fashion & Textile Research Journal
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• v.11 no.3
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• pp.390-398
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• 2009

The research purposes are (1) to identify male market segmentation based on fashion involvement, (2) to compare purchase intention of clothing items and store attribute evaluation at two different retail formats, department store and internet shopping mall, and (3) to compare the influence of store attributes on intention to purchase fashion products at two retail formats among segments. The data are collected from 275 male consumers through internet research institute. The major results of this study are as follows. First, the dimensions of fashion involvement are identified into external involvement and internal involvement. Male respondents present high mean scores on external involvement items, emphasizing social roles of clothing. Two involvement factors generate three market segments: high involvement group(32.4%), external involvement group(44%), and low involvement group(23.6%). Second, high involvement group shows higher mean scores on purchase intention of seven clothing items than low involvement group. Third, department store attributes are identified into four factors, product assortment, quality per price, service, and symbolic image, while internet shopping mall includes assortment & convenience, quality per price, and symbolic image. High involvement group again presents higher mean scores on each retail attribute factor than low involvement group. Finally, quality per price is the most significant variable to explain the purchase intention at department store among three market segment, whereas assortment & convenience and quality per price are important predictors to increase purchase intention at internet shopping mall. However, relative importance of each attribute variable is different among three involvement groups.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.676-681
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• 2018

This paper is designed to address the extent of impacts that religious musicals may have upon on audience in contrast to the mainstream musicals by exploring choice attributes of Christian musicals, which are based on the stories of the Bible. Through empirical analysis, the paper shows that there is positive correlation between choice attributes and viewing satisfaction, while explaining choice attributes' impact on behavioral intention of audience, typically in word-or-mouth intention. It further shows that choice attribute of Christian musicals have direct positive impacts on both of behavioral and word-of-mouth intentions, which revisit intention is positively related to its reputation and the performance place. This study's significance lies in the use of Christian musicals to explore the complex interactions between choice attributes and audiences' behavioral intentions afterwards. However, it will also further benefit if future research include further mediating, control variable, including non-Christians.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.981-997
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• 2020

Blockchain technology can provide a high level security based on a decentralized distributed ledger and consensus-based structure. In order to increase the utilization of blockchain technology, it is necessary to find a way to use it in fields that require personal data processing such as health care and e-commerce. To achieve this goal, the blockchain based system should be able to comply with data privacy regulations represented by European Union(EU)'s GDPR(General Data Protection Regulation). However, because of the properties of the blockchain like the immutability and decentralized recorded data, it is difficult to technically implement the requirements of the existing privacy regulations on the blockchain. In this paper, we propose a multi-chain based access control system that can guarantee the rights of the personal data subject required by GDPR by utilizing Chameleon Hash and Attribute Based Encryption (ABE). Finally, we will show through security analysis that our system can handle personal data while maintaining confidentiality and integrity.

• Asia Marketing Journal
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• v.9 no.2
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• pp.23-47
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• 2007

A new chi-square test is proposed to assess significance of attributes for nonparametric conjoint models. The key idea is to form subsets of rankings and test the dependence between the attribute levels and the sets of rankings. The null hypothesis states that the rankings for profiles with the focal attribute are distributed randomly among the sets of rankings. The approach is simple, easy to use, and can be applied at the individual level as well as at the aggregate level. It can be used for the trade-off approach as well as for the full profile approach.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2550-2572
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• 2023

Epidemiological survey is an important means for the prevention and control of infectious diseases. Due to the particularity of the epidemic survey, 1) epidemiological survey in epidemic prevention and control has a wide range of people involved, a large number of data collected, strong requirements for information disclosure and high timeliness of data processing; 2) the epidemiological survey data need to be disclosed at different institutions and the use of data has different permission requirements. As a result, it easily causes personal privacy disclosure. Therefore, traditional access control technologies are unsuitable for the privacy protection of epidemiological survey data. In view of these situations, we propose a black box-assisted fine-grained hierarchical access control scheme for epidemiological survey data. Firstly, a black box-assisted multi-attribute authority management mechanism without a trusted center is established to avoid authority deception. Meanwhile, the establishment of a master key-free system not only reduces the storage load but also prevents the risk of master key disclosure. Secondly, a sensitivity classification method is proposed according to the confidentiality degree of the institution to which the data belong and the importance of the data properties to set fine-grained access permission. Thirdly, a hierarchical authorization algorithm combined with data sensitivity and hierarchical attribute-based encryption (ABE) technology is proposed to achieve hierarchical access control of epidemiological survey data. Efficiency analysis and experiments show that the scheme meets the security requirements of privacy protection and key management in epidemiological survey.