• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.2
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• pp.266-276
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• 2000

This study was designed to examine the consumers' fashion store choice process based on the wedding dress stores, and also to find the consumers' shopping orientation and store attributes affects to store choice process. This study adapted a survey method. Each 48 wedding dress stores in Ahyun-dong and Kangnam were selected, and 325 women who got married within 2 years ago were recruited, convenient sampled as the subjects and the survey methodology was used for data collection. And convenience sampling method was used for data collection. The results of this study can be summarized as follows; First, wedding dress buyers wear classified into four subdivisions by shopping orientation; reputation-oriented group, utility-oriented group, fashion-oriented group, and time-oriented group. Second, there was significant differences in store choice type between shopping orientation group. Third, in case of important ranks on store attributes, evaluation of store attributes for each step-consideration step, visit step and choice step-was revealed to be coherent. Fourth, there was differences in important ranks among each groups. The most important attribute for all the groups was design, but reputation-oriented group raid importance to reputation of store, utility-oriented group and time-oriented group to economy, and fashion-oriented group to variety than other groups. Firth, there was no significant difference in attitude for wedding dress stores by shopping orientation groups and demographic characteristics.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.29 no.8
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• pp.49-54
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• 2015

Molded Circucit Breaker(MCCB) is a most widely used device to protect loads from the over-current in low power level distribution system. When the MCCB interrupts the over-current, the arc discharge occurred between fixed contact and moving contact to create hot gas. By the Lorentz force due to arc current, the occurred arc is bent to the grids. The grids extend and cool and divide it for arc extinguish. In the majority cases, the MCCB protects loads by interrupting the over-current successfully but in some cases the re-ignition is occurred by hot-gas created during process of interruption. The re-ignition arises when the recovery voltage(RV) is more higher than the recovery strength between contacts and it leads to interruption fault. Therefore to find out the dielectric recovery characteristics of protecting device has a great importance for preventing interruption fault. In this paper, we studies measurement method of the dielectric recovery characteristics considering inherent attribute of the MCCB. To measure the dielectric recovery characteristic of MCCB, we makes an experiment circuit for applying the over-current and the randomly recovery voltage. The measurement methode to find out the dielectric recovery voltage of the MCCB was established and the result was based on experiment results.

• Journal of Information Management
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• v.40 no.1
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• pp.113-132
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• 2009

Unlike existing other industries, the knowledge-based industry has the potential to grow increasingly with factor input unlimited. Importance of investigating knowledge and information evaluation cannot be overemphasized to promote economic development in that knowledge and information is accepted as an engine of new economy. We attempt to define the scope and value of knowledge and information and develop the knowledge and information value model. The results help policy-makers to manage and evaluate the knowledge and information with useful and responsible information.

• Journal of the Korea Institute of Building Construction
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• v.10 no.6
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• pp.77-85
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• 2010

Recently, with development of core technology for supertall building construction projects, the need for an improvement of the related legal system is increasing dramatically. Therefore, the supertall Buildings R&DB Center, which is funded by the Ministry of Land, Transport and Maritime affairs (MLTM), is studying the legal system for supertall buildings. This research, as one part of the 1st year research results, aimed at studying supertall building project related issues and problems to develop supertall building elements, and conducting an importance-performance analysis (IPA) of these elements in order to conclude a strategy and direction for an improvement of the related legal system. A total of 68 supertall building elements were derived, and the IPA method was used to analyze these elements based on attribute types. Furthermore, an improvement strategy and directions were suggested for upgrading the legal system related to supertall buildings to the level of global standards. These efforts can be the base for advancing the legal systems of the domestic construction industry in all areas, including supertall building construction.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.127-133
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• 2018

In recent years, the interest and importance of the sharing economy is increasing, and car sharing services are being activated. This study examined the effect of shopping value perceived by consumers on brand loyalty and intention to use the car sharing service. The purpose of this study is to identify the effects of these relationships on utilitarian and hedonic shopping values. To verify this, data were collected from 364 car sharing users and analyzed using structural equation modeling. As a result, both utilitarian shopping value and hedonic shopping value had a positive effect on brand loyalty. Brand loyalty had a positive effect on intention to use. Therefore, this study can confirm that the use situation of car sharing service is a theoretical and practical point in suggesting shopping value considering consumption attribute. This implies that a consumer-oriented approach to the sharing economy is needed.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.261-274
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• 2019

This paper aims to develop an appropriate methodology for establishing an investment strategy for 'demonstration of artificial rainfall technology using UAV' and that include establishment of a technology classification, set of indicators for technology evaluation, suggestion of final key technology as a whole study area. It is designed to complement the latest research trend analysis results and expert committee opinions using quantitative analysis. The key indicators for technology evaluation consisted of three major items (activity, technology, marketability) and 10 detailed indicators. The AHP questionnaire was conducted to analyze the importance of indicators. As a result, it was analyzed that the attribute of the technology itself is most important, and the order of closeness to the implementation of the core function (centrality), feasibility (feasibility). Among the 16 technology groups, top investment priority groups were analyzed as ground seeding, artificial rainfall verification, spreading and diffusion of seeding material, artificial rainfall numerical modeling, and UAV sensor technology.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.1-19
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• 2021

The graph-based tag recommendation algorithm FolkRank can effectively utilize the relationships between three entities, namely users, items and tags, and achieve better tag recommendation performance. However, FolkRank does not consider the internal relationships of user-user, item-item and tag-tag. This leads to the failure of FolkRank to effectively map the tagging behavior which contains user neighbors and item neighbors to a tripartite graph. For item-item relationships, we can dig out items that are very similar to the target item, even though the target item may not have a strong connection to these similar items in the user-item-tag graph of FolkRank. Hence this paper proposes an improved FolkRank algorithm named FolkRank++, which fully considers the user-user and item-item internal relationships in tag recommendation by adding the correlation information between users or items. Based on the traditional FolkRank algorithm, an initial weight is also given to target user and target item's neighbors to supply the user-user and item-item relationships. The above work is mainly completed from two aspects: (1) Finding items similar to target item according to the attribute information, and obtaining similar users of the target user according to the history behavior of the user tagging items. (2) Calculating the weighted degree of items and users to evaluate their importance, then assigning initial weights to similar items and users. Experimental results show that this method has better recommendation performance.

• Korean Journal of Community Nutrition
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• v.28 no.4
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• pp.329-339
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• 2023

Objectives: This study aims to explore consumer awareness and usage patterns of local food in Jecheon city during the COVID-19 pandemic, contributing to the establishment of the Jecheon City Food Plan. Methods: Surveys were conducted from July 24 to August 24, 2021, using a combination of web-link and self-administered methods for adults living in Jecheon city (n = 250). Descriptive analysis, t-test, importance and satisfaction analysis (ISA) of local food choice attributes were performed using SPSS Statistics. Results: Participants prioritized freshness when purchasing agricultural products. The freshness of Jecheon local food was the selection attribute with the highest consumer satisfaction and could provide purchase motivation. Approximately 73.6% of respondents understood the concept of local food, and 70% were familiar with Jecheon's local food. Notably, 94.8% expressed an intention to purchase but held negative views on selling local food in other areas. The need to increase the supply of local food to vulnerable populations and public school catering was highly recognized. The ISA identified 'affordable price', 'delivery service', and 'product information' as areas requiring improvement. On the other hand, 'freshness of products', 'quality for the price', and 'support for local farmers and economy' were identified as attributes to be maintained and strengthened. Conclusions: Consumers in Jecheon city recognized local foods as more than just 'consumer goods'. Our findings suggest the need for further research on local food revitalization and more comprehensive local food planning to enhance consumer satisfaction.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.229-243
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• 2022

The importance of digital economy and platform firms in the Korean economy is growing. However, the concept and definition of platform firms are still in vague. In addition, the construct of platform firms in ecosystem has not yet investigated. In this paper, we attempt to define the platform firm and to classify the platform depends on the attributes of firms and business. We find 552 platform firms compose Korean platform ecosystem. From this study, the understood of platform concept can be accurated. Specifically, from the perspective of a 'firm' rather than a business-oriented attribute, and furthermore, the type of platform firm and detailed classification of industries and services were proposed for empirical analysis in the future. In addition, through the analysis of the current status of the platform ecosystem, policy recommendations for the future development and activation of the ecosystem were presented.

• Korea Journal of Hospital Management
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• v.29 no.2
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• pp.18-36
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• 2024

This study delved into the complex nature of medical services as experience goods and trust services, investigating the profound impact of online word-of-mouth on medical consumers' decisions to visit hospitals. Considering the restrictive legal framework for medical advertising, consumers are increasingly dependent on unrestricted sources of information like online reviews. This research aimed to provide empirical evidence for the significant role online word-of-mouth plays in hospital selection. Utilizing data from Naver reviews, hospital choice factors were classified based on the Kano model, revealing the subtle yet significant influence that word-of-mouth has on consumers' hospital visit intentions beyond merely positive or negative messages. In particular, the study provided insights into how the categorized positive and negative information, along with the presence or absence of emotional expression, affects the efficacy of word-of-mouth. The experiment targeted medical consumers aged over 20 and, through analysis using the SPSS statistical program, yielded important findings. The direction of online word-of-mouth, the presence of emotional expression, and the interaction of Kano attributes all created significant differences in hospital visit intentions. Notably, emotional expression included in negative word-of-mouth concerning one-dimensional attributes markedly decreased visit intentions, whereas the absence of emotional expression in attractive attributes actually enhanced reliability and increased visit intentions. These findings offer critical implications for redefining strategies in medical marketing and online review management. The discoveries of this study underscore the importance of active engagement and strategic management of online reviews by medical service providers, urging careful consideration of the various elements of online word-of-mouth that influence medical consumers' hospital visit intentions.