• Journal of the Korean Society of Food Culture
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• v.26 no.2
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• pp.170-177
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• 2011

We examined household's food expenditures in this study. The empirical work outlined here used quarterly data from 2003 Q1 to 2010 Q3. All variables are in log form and were obtained from the Korea National Statistical Office. The food items included cereals, dairy products, fruits, meat, vegetables, and alcoholic beverages. We applied the ordinary least squares method to a model consisting of household income and seasonal dummies. This is because household expenditures are ordinarily a function of income and have seasonal characteristics. The household's food consumption patterns also reflect the prevailing social and environmental circumstances. This study showed that the income coefficients of cereals, meat, dairy products, and alcoholic beverages tend to increase in the long-run, whereas those of vegetables and fruits decreased. The results also revealed that consumption of alcoholic beverages and meat was greatly affected by household income fluctuations, whereas those of vegetables and dairy products were not sensitive to income. The impulse response functions indicated that expenditures not only increased slowly before peaking one to eight quarters after the income shock but declined very slowly to pre-shock levels. The response of dairy products at the twelfth step was three times as large as that of the first step.

• Archives of design research
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• v.16 no.4
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• pp.151-162
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• 2003

Today's propensity to consume is described as a side view of distinct personality, which is different from others, and self-identity. While general enterprises understand the consumer's pattern and reflect it into the marketing, the university is based on conservative spirit and dose not cope with the needs of the times. Therefore the service provided by the university dose not make effective products that reflect the taste of the new generation who is the major customer. University diary, which is one of the typical brusher and costs ten millions won every year, is an example of the ineffective products. As compared with other university advertisements or public relations which the university is recently trying to improve, no interest is given to professional planning and cares for the design of the university diary. In this paper, we study the university identity and information to increase the usefulness of the university diary. To propose a practical improvement method of the design, we analyze real cases and examine the demands of students as a customer.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.143-153
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• 2014

The purpose of this study is to investigate the effect of factors related to consumer lifestyle and media usage on the adoption of Nscreen service, which is fundamentally changing both the competitive landscape for business and the daily lives of consumers. The data of 8,524 consumers used in this study were drawn from the first Korea Media Panel Study in 2012 of Korea Information Society Development Institute and the characteristics of adopters and non-adopters were compared. The study also aims to explore the usage pattern of Nscreen as well as antecedent variables that affect the innovative service usage. Logistic regression analysis shows various factors affects the acceptance of this innovation. This is only a first step in the important process of understanding the nature of relationship between consumer lifestyle and the adoption of Nscreen service. Gaining a comprehensive understanding of the drivers of Nscreen usage will help engineers and marketers to develop effective strategies that meet consumer needs for innovative services.

• Korean Journal of Remote Sensing
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• v.27 no.5
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• pp.587-599
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• 2011

As one measure of image interpretability, NIIRS(National Imagery Interpretability Rating Scale) has been used. Unlike MTF(Modulation Transfer Function), SNR(Signal to Noise Ratio), and GSD(Ground Sampling Distance), NIIRS can describe the quality of overall image at user's perspective. NIIRS is observed with human observation directly or estimated by edge analysis. For edge analysis specially manufactured artificial target is used commonly. This target, formed with a tarp of black and white patterns, is deployed on the ground and imaged by the satellite. Due to this, the artificial target-based method needs a big expense and can not be performed often. In this paper, we propose a new edge analysis method that enables to estimate NIIRS accurately. In this method, natural targets available in the image are used and characteristics of the target are considered. For assessment of the algorithm, various experiments were carried out. The results showed that our algorithm can be used as an alternative to the artificial target-based method.

• The Korean Journal of Health Service Management
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• v.1 no.1
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• pp.1-15
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• 2007

CRM의 장점은 원하는 고객에 대해서 마케팅 노력을 기울일 수 있고 그 결과로 마케팅 비용을 줄이고 효율을 높일 수 있는 것이다. 그리고 마케팅 전략 수립에 대한 방법의 변화와 그 수행방법의 변화가 CRM에 있기 때문에 여기에 따른 절차와 문화, 조직구조까지 변화 시킬 수 있다. 이를 방지하기 위하여 CRM교육이 필요하며, 그 중요성을 인식하고 실행하여야 한다. 그리고 경영환경에 적합한 마케팅 전략 수립이 필수적이다. CRM의 정확한 이해와 적합한 수행이 있어야만 병원경영의 목표달성에 도움이 된다. 그러나 CRM자체의 문제가 없는 것도 아니다. 무엇보다 전문 인력이 부족하면 시스템 구축과 마케팅이나 컨설팅 인력을 확보하여 프로젝트의 부실화를 방지하여야 한다. 다음은 실업자들의 업무패턴을 파악하고 사용자의 편의를 고려한 적용이 있어야 한다. 고가의 비용을 투입하여 CRM을 실행하였다 해도 사용자 교육의 미비가 생기면 효율이 감소될 것이다. 역시 CRM의 적용에 있어서 호환이 되지 않으면 통합비용으로 별도의 비용이 지출해야 하므로 비용의 증가를 감수하여야 한다. 환자의 의료의 질에 대한 만족은 환자의 주관적 개념으로 동일한 의료서비스에 대하여 환자들은 저마다 다르게 의료의 질을 평가하게 된다. 대부분의 환자들은 자신의 욕구와 의료의 질에 대한 기대를 가지고 병원을 방문하여 의료의 질을 평가하게 된다. 대부분의 환자들은 자신의 욕구와 의료의 질에 대한 기대를 가지고 병원을 방문하여, 그것을 의료제공자가 충족시키는 정도가 환자의 만족도를 결정하게 된다. 의료의 질은 의료서비스에 대한 만족과 밀접한 관련이 있다. 의료의 질과 만족은 강하게 연관이 있으면서도 양자는 분명히 다르다. 의료의 질에 대한 평가와 만족도는 매우 일치도가 높다고 볼 수 있다. 이것은 의료의 질적 수준이 높으면 환자만족도도 높다는 것을 의미한다. 따라서 본 연구는 병원의 환자관리를 위한 CRM 마케팅의 전기를 실증적으로 역설하고 이의 도입을 통한 효과와 문제점, 이에 대한 대응방안을 제시하고, 모범적인 CRM운영 사례를 제시함과 동시에 효과적인 의료의 질 경영을 구현하고 이것이 환자의 의료서비스 만족도를 높이는 결과인 것을 모색하는 것이 본 연구의 목적이다.

• Journal of the Korean Home Economics Association
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• v.26 no.4
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• pp.113-127
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• 1988

This paper attempts to investigate and analyze the change of the proportion of discretionary consumption expenditure (DCE) of main consumer goods among total household expenditure from 1964 to 1986 in Korea by reorganizing various data, particularly "Annual Report of Citizen's Household Experditure in Sooul".The result of the author's analysis can be summarized as follows. 1. The analysis shows that while the proportion of DCE in food has been increased during this period as the Korean economy developed, the value of income elasticity for beverages, liguor, out-door eating and processed food products which consist of major part of food, has been successively decreased. And also, though the absolute value of income elasticity for grain products has been increased, its proportion among total expenditure has been successively decreased. From these trends, we can conclude that general consumption pattern has a tendency to change from dependence on main grain products to the more utilization of out-door eating or processed food products. 2. The ratio of DEC of furnitures to housing expenditure has played a role of indicator of business cycle, reflecting the consumers' psychological expectation fro general economic trend. 3. In case of the proportion of DCE of clothes, there has been no great change. 4. As for as DCE of sundry expenditure is concerned, there has been no-great change in The proportion itself/ However. as the ratio of sundry expenditure to total household expenditure has been greatly increased, expenditure for leisure disproportionately increased. 5. The proportion of total DCE in total consumption expenditure, as in the case of housing, has been increased, which coincided exactly with business cyele appeared during this period. In fact, when Korea economy experienced a severe recession in 193 and 1980, that proportion deeply went down respectively, and again went up after those years. Accordingly, we can generalize that the size of DCE deperds on the formation of consumer's psychological expectation toward economy, which confirms George Katona's early proposition.

• Journal of the Korean Society of Food Culture
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• v.20 no.5
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• pp.608-614
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• 2005

The object of this research is to analyze and classify the dining-out behavior and preference on Korean food by age groups and to make counter proposals for better marketing and planning strategies. Major dining out motives were lack of time, the easiness of preparation, and schedule. For lunch, the schedule was the major dining-out motive. For dinner, the respondents in their 30s and below answered social gathering was their major dining-out motive (40.7% and 31.3% respectively). On the other hand, for the respondents in their 40s and 50s, the family gathering was the major dining motive (50.4% and 55.3% respectively) (${\chi}^{2}=68.081,\;p<0.001$). For dining out frequency, 1-2 dining out per a week had the highest percentage, among which the respondents in their 30s was 42.9% (the highest) and the respondents in their 50s was 18% (the lowest). For the dining-out cost, the respondents in their 30s and below spent more on dinner rather than breakfast or lunch. For the menu preference of Korean foods, Doenjangjigae had the highest percentage. In case of Kimchi, the respondents in their 40s showed higher preference than the respondents in their 30s. Interestingly, the preference for Kimchi was higher in the respondents younger than 30 rather than in the respondents in their 30s. and the respondents older than 40 (p<0.05). Preference for Jangachi was considerably low in the respondents younger than 40, which implies that younger people don't incline to traditional Korean Mitbanchan. The dining-out motive was different in each age group. Now, the dining out motive is not restricted to home meal replacement. Social gatherings are increasing and the consumers of dining-out industry are being diversified. These suggest the increased need for classifying and analyzing the consumers by age groups to get more information on consumer behavior and tastes.

• Journal of the Korean Geographical Society
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• v.28 no.3
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• pp.227-246
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• 1993

Gender differences in the seperation of emplo-yment from home and commuting patterns of the Seoul Area are examined in this paper. Throughout the analysis, it is found that there exist a substantial gender variation in comm-uting rates. Even though the regional variation of commuting rates of male workers is very small, the female workers' regional variation of commuting rates is substantial. Especially, the area around the traditional central place of Kangbuk, the area near the Youngdungpo and Kuro where manufacturing and retailing activities are concentrated, and the area where low-income families are concentrated show high rate of female commuting. In contrast, the traditional residential area, especially the high-income area of Kangnam, shows lower rate of female commuting. Generally, female workers tend to work closer to home than male workers. Accordingly, the job search range of female workers is smaller than that of mle workers. But the areal unit of job search range of female workers is wider at least than Dong. The fact that female workers' job search area is smaller than male workers' implies that the job opportunity around the home location could have more impacts on female workers' job search process than male workers' job search process. There is a substantial difference in commuting behavior between male and female workers. In general, male workers commute longer, use more expensive transportation mode, and pay higher transportation cost in comparision with female workers. These gender differences in commuting behavior could be resulted not only form the gender difference in the seperation of employment form work, but also form the gender difference in the social status in both work place and home.

• Journal of Navigation and Port Research
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• v.44 no.3
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• pp.158-165
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• 2020

Buoys are a necessary component for the safety of vessel traffic. However, if the buoy becomes inoperable from damage and loss, it can have significant impact on vessel traffic safety as well as unexpected budget spending. The purpose of this study was to evaluate the risk of accidental contact by applying the marine traffic assessment index that can reflect the traffic flow in the sea area. First, Busan Port No. 5 fairway, with a high number of buoys and many contact accidents, was set as the sea area for assessment. to investigate the status of accidental contact and evaluate risk of contact accidents based on the IALA Waterway Risk Assessment Programme (IWRAP MkII) and Potential Assessment of Risk Model (PARK Model). As a result, buoys are near the P recautionary Area wherein the traffic flow was complicated by the Masan port vessel and Busan new port vessel, and buoys are near the entrance of the Gadeok waterway, wherein vessels show a pattern of navigation across the fairway and buoys are near the breakwater in the inner fairway were considered as high risk for contact accidents. This study can be used as basic data for establishing an integrated model to evaluate the risk of buoy contact accidents.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.