• Korean Institute of Interior Design Journal
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• v.14 no.6 s.53
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• pp.120-131
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• 2005

Nowadays, food style would be changing as western and much like simple. because there was changing for customer both life style and recognition of what the food is, so that the customer would like to get something that has a high qualified and special. In the society changing continuary, the upgraded speed of atmospher and competition between bakery company is running quickly. in order to follow the customer who are different individually and pursuit lots of kind of things. In fact, it's not only making atmosphere that could give relaxation and rich life but also supporting commodity and many kinds of information to effect the sale's effectiveness, so the various alternative need to be checked out to treat the difference of atmosphere. importance of space composition plan considerating specific character is confirmed each commercial area of alternatives. In this study, we want to provide the most important standard of space composition of several visible or invisible environment factor making an bakery store. commercial rights are defferentiated between center commercial land and dwelling commercial land and we can strengthen the competitveness by bringing inspect, analysis, comparison about product make-up price each commercial land in space organixation of in-store actively in the 21 century's new bakery competition. In the 21st century, we should recognize we are in the new period about these a aggressive goal of maximization of sales and performed space construction through plan specialization to build reasonably and effectively. composition plan for store space as composition rate of product would be basic plan. so when the opening store is decided it need to be basic composition plan space which Is proper to situation of area.

• Journal of Korean Library and Information Science Society
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• v.44 no.4
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• pp.93-122
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• 2013

This study purpose to identifying the roles of Health Information Librarian which its role is increasing according to increase recent interest in wellness and health. In other words, this study will present the Education, careen duties and so on, which should be possed by Health Information Librarian, based on the analysis of Job Site. As as result, first, health information professional librarian's name appears very diverse, and consumer health information librarian will be appropriate name for public libraries and medical librarian will be appropriate for medical library and hospital library. Second, education experience required for health information librarian is master's degree of library and information science and bachelor's or more health related degree. Third, at least two years of health-related field experience, particularly health information service experience, is required. Forth, excellent communication skills and interpersonal skills are required, expecially higher knowledge for health-related information resources is required. Fifth, the main duties what health information librarian need to perform, are library management services, training services, research services, access to and sharing of information resources, collection management, information management, information management technology, and advocacy.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.127-141
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• 2017

Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.

• Korean Journal of Oriental Medicine
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• v.12 no.3 s.18
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• pp.31-47
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• 2006

Nowadays Korean governments use Information Technology to improve the quality of life for a people. One of these tries is building the Food Tracing System based on Information Technology. Koreans have big concern about food that is good for health. The Food Tracing System means that the system can follows, traces, and records every steps of production and delivery of food and its ingredient. And this process should be identified and grouped by using tags, marks, and other methods. For example, producer of ingredient, processing steps of food, delivered place could be traced. In addition to food, medical herbs need consumer's trust in production and delivery. To trace and prosecute contaminated medical herbs, medical herbs also need this kind of Tracing System based on Information Technology. This study shows current medical herbs tracing ways and RFID(Radio Frequency IDentification) technology trend. As preceding study for future RFID based medical herbs tracing system, this study suggests the building plan and scenario of the Medical Herbs Tracing System. The determination of the main body for sticking RFID Tags is very important to design for RFID Traceability System. In this study, the starting point of information to medical herbs is an inspection agency. The Medical Herbs to product domestically or import moved to an inspection agency. An inspection agency bond the RFID Tags to packing of the Medical Herbs after examining the a basic its component. At the same time inspector give the information of production or importation to the Tags. This Tags are moved for logistical process to end point, the Korean medicine agency. The customer confirmed the traceability and certification information of the Medical Herbs. For success tracing of medical herbs, institutional support and close cooperation between related organizations is necessary besides good system design.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.1-20
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• 2008

Based on the multi-attribute utility theory (MAUT), we present a survey method to measure consumer preferences. The multi-attribute utility theory has been used to make decisions in OR/MS field; however, we show that the method can be effectively used to estimate the demand for new services by measuring individual level utility function. Because conjoint method has been widely used to measure consumer preferences for new products and services, we compare the pros and cons of two consumer preference survey methods. Further, we illustrate how swing weighing method can be effectively used to elicit customer preferences especially for new telecommunications services, Multi-attribute utility theory is a compositional approach for modeling customer preference, in which researchers calculate overall service utility by summing up the evaluation results for each attribute. On the contrary, conjoint method is a decompositional approach, which requires holistic evaluations for profiles. Partworth for each attribute is derived or estimated based on the evaluation, and finally consumer preferences for each profile are calculated. However, if the profiles are quite new and unfamiliar to the survey respondents, they will find it very difficult to accurately evaluate the profiles. We believe that the multi-attribute utility theory-based survey method is more appropriate than the conjoint method, because respondents only need to assess attribute level preferences and not holistic assessment. We chose swing weighting method among many weight assessment methods in multi-attribute utility theory, because it is designed to perform in a simple and fast manner. As illustrated in Clemen and Reilly (2001), to assess swing weights, the first step is to create the worst possible outcome as a benchmark by setting the worst level on each of the attributes. Then, each of the succeeding rows "swings" one of the attributes from worst to best. Upon constructing the swing table, respondents rank order the outcomes (rows). The next step is to rate the outcomes in which the rating for the benchmark is set to be 0 and the rating for the best outcome to be 100, and the ratings for other outcomes are determined in the ranges between 0 and 100. In calculating weight for each attribute, ratings are normalized by the total sum of all ratings. To demonstrate the applicability of the approach, we elicited and analyzed individual-level customer preference for new telecommunication services-WiBro and HSDPA. We began with a randomly selected 800 interviewees, and reduced them to 432 because other remaining ones were related to the people who did not show strong intention for subscription to new telecommunications services. For each combination of content and handset, number of responses which favored WiBro and HSDPA were counted, respectively. It was assumed that interviewee favors a specific service when expected utility is greater than that of competing service(s). Then, the market share of each service was calculated by normalizing the total number of responses which preferred each service. Holistic evaluation of new and unfamiliar service is a tough challenge for survey respondents. We have developed a simple and easy method to assess individual level preference by estimating weight of each attribute. Swing method was applied for this purpose. We believe that estimating individual level preference will be quite flexibly used to predict market performance of new services in many different business environments.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.109-128
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• 2010

The purpose of our research is to figure out the 'non-financial value' of consumers applying networks amongst consumer groups, the data-based marketing strategy to the analysis and delve into the ways for enhancing effectives in marketing activities by adapting the value to the marketing. To verify the authenticity of the points, we did the empirical test on the consumer group using 'the Essence Cosmetics Products' of high involvement that is deeply affected by consumer perceptions and the word-of-mouth activities. 1) The empirical analysis reveals the following features. First, the segmented market for 'Essence Consumer' is composed of several independent networks, each network shows to have the consumers that is high degree centrality and closeness centrality. Second, the result proves the authenticity of the non-financial value for boosting corporate profits by the high degree centrality and closeness centrality consumer's word-of-mouth activities. Lastly, we verify that there lies a difference in the network structure of 'Essence Cosmetics Market'per each product origin(domestic, foreign) and demographic characteristics. It does, therefore, indicate the need to consider the features applying mutually complementary for the network targeting.

• Journal of the Korea Fashion and Costume Design Association
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• v.8 no.2
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• pp.95-108
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• 2006

The purpose of this study was to analyze the historical change of Paris Collection in relation to the social and cultural environment. Together with the various changes in society, creates fashion, the historical background of the Paris Collections is analyzed from the end of the 19th century until the present. The research method includes analysis entered on data from literature and magazines. From this study, the following conclusions can be reached. 1. Paris Collection is composed of various situations such as the economic aspect, the changing society, the change of the costumes, the change of consumer's consciousness, etc,. 2. The position and role of Paris Collection will be changed in the future. But, there is no alternative. Paris Collection is the best system which we need in our society. 3. Since the level of the planning of the apparel industry becoming raised rapidly, Paris collection tend to avoid the traditional aspect. 4. In order to make good product, good understanding of the historical background need. It must be considered to understand changes such as consumers lifestyles, social trend, etc.

• Ocean and Polar Research
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• v.33 no.2
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• pp.149-157
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• 2011

As tourist are becoming increasingly environmentally conscious, government and related companies need to establish policies or strategies that encourage ecotourism. The aim of this study is to analyze individual preferences and estimate shadow prices, namely, willingness to pay for coastal wetland ecotourism. This study applies a contingent choice method to measuring marginal WTP for each attribute (tour duration, number of visitors, guide, program) of coastal wetland ecotourism. The finding herein contribute to complementing the valuation methods by estimating various attributes of coastal wetland ecotourism and providing policy-makers with useful methodological framework and quantitative information in the decision-making process related to ecotourism.

• Journal of the Korean Home Economics Association
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• v.42 no.12 s.202
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• pp.93-106
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• 2004

This study examines the economic status and effect variables of expenditure of single elderly households using the 1996 Expenditure Survey of Urban Families from the Korea National Office. This study examined gender differences in total house income, expenditure and effect variables of expenditure. The results show that women had lower economic condition than men and that income is the most effective variable of expenditure for both. The result imply the need of employment and active support to improve household income especially for women who have a higher possibility of poverty.

• Korean Journal of Computational Design and Engineering
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• v.13 no.5
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• pp.391-402
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• 2008

Today's product development environment is characterized as abrupt changes in consumer needs and short lifecycle of the product, which requires manufacturing companies to be equipped with time-to-market and time-to-volume strategies as prime factors for the successful product launch on market. They especially need to bring a product to the market faster with smart methodologies that enable assembly manufacturers to efficiently simulate and manage part assembly information throughout product development process. The research in this paper provides n e-manufacturing methodology considering geometric constraints in order to decide assembly process sequences. The methodology organizies the part layout (position & orientation) in order to optimize human postures during the assembly processes. As the case studies, assembly parts for two commercial products have been generated as CAD models and analyzed for the desired solutions for part assembly sequences using the proposed methodology.