• Korean Journal of Community Nutrition
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• v.11 no.5
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• pp.650-660
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• 2006

Recently, according to increase in production of pond snails resulting from the widespread organic farming, organic farmers are showing a lot of interests in the promotion of consumption and extending the market of pond snails. This study was performed to suggest the process of product development of the ready-to-eat pond-snail Mandu as a health food, to show the results of market test of the pilot product, and to investigate the change of the sensory characteristics during storage periods. For the market test of pond-snail Mandu, the survey was developed and delivered to consumers. The questionnaire consisted of 3 parts such as respondents demographic characteristics, customer's perception of pond-snail Mandu before tasting, and customer's perception of that after tasting. And the market test was carried out with university students, welfare institution residents and apartment residents in the Seoul and Gyeonggi areas. As a result of the test, the most important purchasing factors were determined in the order of taste (49.5%), hygienic quality (12.5%), nutritional value (10%) and price (9%). And only 4.2% of respondents selected brand name as an important purchasing factor. After tasting pond-snail Mandu, consumers had suggested the better taste (t=6.986, p<0.000) and price (t=2.082, p<0.05) than those of before tasting. In response to favorable impression of pond-snail Mandu, 54.5% of total respondents evaluated positively. The favorable impressions came from iron-rich Mandu (27.6%), high protein and nutritious Mandu (24.4%), calcium-rich Mandu (17.9%), diet Mandu (13.3%), and delicious Mandu (12.5%) respectively. Sensory characteristics of pond-snail Mandu were evaluated by professional panels in terms of the softness of Mandu skin, chewiness, moistness, toothpacking, color, aroma, saltiness, and degree of plain, taste, and aftertaste. The evaluation of sensory characteristics on a 7-point scale, showed that softness of mandu skin (4.44) and aftertaste (4.11) got a low scores. The statistical difference of the tastes (p>0.05) was not founded by storage period of 7, 14, 21 and 28 days. Based on the result, the improvement of these characteristics are desired in developing the pond-snail Mandu. Research method applied to this study can be useful for developing a new product.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.801-815
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• 2011

This study examines the characteristics of marketing and customer that influence the selection of multichannel (preference/frequency of use) in the fashion retail. The subjects of this study are men and women live in Seoul/Gyeonggi province and Busan/Gyeongsangnam-do in their 20s-40s who have shopping experiences in fashion items of more than 2 shopping channels among offline stores, catalogs, and the internet. The survey period was from March to May 2010 and 411 forms were used in this survey. The data were analyzed by a reliability analysis (Cronbach's ${\alpha}$), a factor analysis, t-test and one-way ANOVA. The main results of this study are summarized as follows. First, marketing characteristics, which effect the selection of multichannel (preference/frequency of use), consist of sales promotion, service, price, merchandise, and distribution. Those have a significant influence (***p${\leq}$.001) on choosing multichannel of fashion retail. Price has a significant impact on the preference of multichannel and merchandise affect for frequency of use in multichannel shopping. Second, customer characteristics have a significant influence (***p${\leq}$.001) on the monthly average purchasing amount, shopping hours, shopping frequency, brand knowledge, and price sensitivity. Particularly, monthly average purchasing amount & shopping frequency have meaningful differences in the frequency of using multichannel; in addition, shopping hours were affected by preference & frequency of use. Price sensitivity has a greater influence on the frequency of using multichannel and brand knowledge has a greater effect on multichannel preference. Customer's information searching characteristics have main 3 factors through the use of marketing information, personal information and experience information. Application of experience information is the main factor in preference and frequency of using multichannel shopping. The customer demographic characteristics of age (*p${\leq}$.05, **p${\leq}$.01) and gender (*p${\leq}$.05) show a difference for selecting multichannel. There is no difference for marital status, average household income per month, and job.

• Journal of the Korean Home Economics Association
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• v.40 no.12
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• pp.85-108
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• 2002

The objectives of this study were to investigate the trend of the attitude and the behavior about consumer's internet premium advertisement and its application and the factors which influence on the attitude and the behavior about consumer's premium advertisement and its application; the demographic variables, internet communication-environment variables and variables in relation to consumer's premium advertisement application. For these purpose, the data collected two way: internet survey and questionnaire survey. The data used in this study included people who have looked an internet Premium Advertisement more than once during internet use. Major findings were as following: (1) The attitude of internet premium advertisement and its application could be described as the mean 34.16 md 24.61 separately(3.11 and 2.73 point on 5.00 points scale). The behavior of application about internet premium advertisement was measured as a behavior of application whether or not; application 18.7% and unapplication 81.3%. (2) The attitude of application about internet premium advertisement was significantly different according to age, joining frequency on internet, past experience of winning a premium, purchasing information search, interesting connection on the internet, the risk about the money loss and negative evaluation of other persons, the economical values of premiums, winning possibility, and preferable premiums. The behavior of application about internet premium advertisement, the behavior of application whether or not was significantly different according to sex, age, school career, a circuit speed, a period of using, joining frequency and a using place, past experience of winning a premium, purchasing information search, interesting connection on the internet, the risk about the negative evaluation of other persons, the economical values of premiums, winning possibility, and preferable premiums. (3) When looking at the influence of variables about the attitude of application about internet premium advertisement, the most influence variables was the past experience of winning a premium, and next was winning possibility, sex, the interest about the premiums which made the consumer want to apply, the economical values of premiums, the purpose of purchase information search and the using time. The explanation of those variables were 22.6%. As the result of the Logistic analysis, it was found that the frequency of the internet connection, the past experience of winning premiums, the risk about the outflow of credit information, interesting premiums, and premium advertisement were the most important variables to affect the possibility of the behavior of application about internet premium advertisement critically.

• Korean Journal of Construction Engineering and Management
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• v.20 no.1
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• pp.32-40
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• 2019

This study analyzed operating condition and the problems of damage compensation insunace (property insurance) for qualified architect and derived some suggsetions for improvement. The Certified Architects Act requires all building design and construction supervision to buy property insurance. This study proposes following suggestions to solve problems of current architect property insurance. Firstly, we need to increase the insurance purchasing rate of damage compensation insurance for qualified architect. It is necessary to clearly specify the matters concerning the submission of insurance policies by the architects, which is currently carried out by the Minister's official letter, in the form of official announcement. Secondly, proper insured amount should be adjusted. In order to insured substantial compensation capacity, total amount of insurance should be enlarged. Thirdly, the insurance period should be extended to one year after completion of building to allow compensation for accidents due to design negligence. Generally, the design defect can mostly be identified within one year after completion. Fourthly, insurance coverage should be extended. In the long run, it is essential to enlarge the scope of the security not only to property damage but also to human losses. Finally, an accident record sharing system should be established among insurance companies, so that proper insurance premiums or discounts can be made based on the system.

• The Korean Journal of Franchise Management
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• v.3 no.2
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• pp.55-78
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• 2012

The purpose of this study is to devise successful strategies for launching of new brands in franchise companies based on cases of 'Gamarogangjung' of Masedarin Inc. The results of case analysis shaw following successful strategies. First, Masedarin Inc. has used its core competence; Masedarin Inc., which managed chicken franchises for many years, launched the new brand, 'Gamarogangjung' based on its differentiated technologies and infrastructure. Second, the brand, 'Gamarogangjung' has used market oriented strategy actively; the brand has reflected customers' needs to its adminstration immediately by understanding and sharing of customers' needs at the corporate level. Third, Masedarin Inc. has differentiated a business model from other companies; by using 'take out' purchasing system instead of 'delivery to doors' or 'purchasing by visiting', the company has saved huge management cost. Fourth, Masedarin Inc. developed a new kind of business which is differentiated from existing chicken franchise brands or take-out restaurants. Fifth, Masedarin Inc. has appealed its sincerity to franchisees; its business information session, which explains about the business openly without exaggeration, has drawn a high rate of franchise agreement. Sixth, Masedarin Inc. changed its way of thinking about conditions of a location for member stores. The company has selected 'A' level locations for their member stores which enables 'quick sales at small profits' while other take-out stores are usually located at 'B' level location. Lastly, Masedarin Inc. has given thorough instructions to the staff of member stores. And immediately after opening of the stores, franchisees were able to operate the stores comfortably because the company educated the staff repeatedly over a long period to make them master skills before the opening of the store.

• Advanced Industrial SCIence
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• v.2 no.3
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• pp.22-28
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• 2023

In this study, we conducted research on the automated trading of U.S. stocks through a volatility strategy using the Fear and Greed index. Volatility in the stock market is a common phenomenon that can lead to fluctuations in stock prices. Investors can capitalize on this volatility by implementing a strategy based on it, involving the buying and selling of stocks based on their expected level of volatility. The goal of this thesis is to investigate the effectiveness of the volatility strategy in generating profits in the stock market.This study employs a quantitative research methodology using secondary data from the stock market. The dataset comprises daily stock prices and daily volatility measures for the S&P 500 index stocks. Over a five-year period spanning from 2016 to 2020, the stocks were listed on the New York Stock Exchange (NYSE). The strategy involves purchasing stocks from the low volatility group and selling stocks from the high volatility group. The results indicate that the volatility strategy yields positive returns, with an average annual return of 9.2%, compared to the benchmark return of 7.5% for the sample period. Furthermore, the findings demonstrate that the strategy outperforms the benchmark return in four out of the five years within the sample period. Particularly noteworthy is the strategy's performance during periods of high market volatility, such as the COVID-19 pandemic in 2020, where it generated a return of 14.6%, as opposed to the benchmark return of 5.5%.

• Food Science and Preservation
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• v.22 no.2
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• pp.232-240
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• 2015

This study investigated the microbiological and nutritional characteristics of bimonthly radish sprouts purchased at a local market. The total bacteria and coliform measurements were highest in summer (June and August) and lowest in winter (February and December). The total phenol content was $16.82{\pm}0.69GAEmg/g$, and it did not significantly differ during the investigation period. The total carotenoid contents were highest in February (about $12.81{\pm}0.49$ ${\beta}$-carotene mg/g) and lowest in April (about $8.09{\pm}1.01$ ${\beta}$-carotene mg/g). However although total glucosinolates content differ between the total crude glucosinolate and the sum of the individual glucosinolates, it was highest in December. The individual glucosinolates were found to have been gucoraphenin, glucoerucin, glucobrassicin and gluconasturtiin in radish sprouts via HPLC analysis. The purchasing time of the glucoraphenin content did not significantly differ. The measured glucoerucin was highest in February and lowest in October. The gucobrassicin and gluconasturtiin were higher in summer than in winter, but did not significantly differ. The antioxidant activity (i.e., the $IC_{50}$ values of the DPPH radical scavenging) was highest in February. In conclusion, the microbial contamination, total carotenoids, and antioxidant activity changed according to the purchasing season, but the total phenolic compounds and total glucosinolates were maintained regardless of the time in the radish sprouts.

• Journal of Nutrition and Health
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• v.45 no.6
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• pp.541-551
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• 2012

In our previous work, we reported consumers' perceptions of body shape and weight control. In an ongoing effort, we analyzed the purchasing behavior, intake patterns, future purchasing decisions, and degree of satisfaction in individuals consuming dietary formula for weight control (DF) or heath/functional foods (HFFs) by using the same survey questions. Portfolio analysis for marketing strategy was also investigated. Subjects were divided into two groups according to consumption of DF or HFF during the previous year : DF group (n = 89) and HFF group (n = 110). Average intake frequency was $1.7{\pm}0.7$ per day for HFFs and $1.5{\pm}0.9$ per day for the DF, and the most prevalent form was pill (58.2%) for HFFs and bar (42.7%) for DF. Duration of intake was $3.1{\pm}2.3$ months for HFFs versus $3.9{\pm}3.5$ months for DF. The average degree of satisfaction was $3.6{\pm}0.6$ on a 5-point scale, meaning 'relatively satisfied'. For the weight control method to be used in the future, 44.5% of the HFF group selected 'HFFs' while 47.2% of the DF group selected 'DF', showing a tendency to use the current product type in the future. The average planned period for the intake was $3.8{\pm}3.7$ months for HFFs and $3.0{\pm}2.4$ months for DF (p < 0.05). The HFF group emphasized efficacy, functional ingredients of the products, reliable products, and higher satisfaction, whereas the DF group emphasized the added materials in addition to weight control effects.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.85-107
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• 2019

Online consumers browse products belonging to a particular product line or brand for purchase, or simply leave a wide range of navigation without making purchase. The research on the behavior and purchase of online consumers has been steadily progressed, and related services and applications based on behavior data of consumers have been developed in practice. In recent years, customization strategies and recommendation systems of consumers have been utilized due to the development of big data technology, and attempts are being made to optimize users' shopping experience. However, even in such an attempt, it is very unlikely that online consumers will actually be able to visit the website and switch to the purchase stage. This is because online consumers do not just visit the website to purchase products but use and browse the websites differently according to their shopping motives and purposes. Therefore, it is important to analyze various types of visits as well as visits to purchase, which is important for understanding the behaviors of online consumers. In this study, we explored the clustering analysis of session based on click stream data of e-commerce company in order to explain diversity and complexity of search behavior of online consumers and typified search behavior. For the analysis, we converted data points of more than 8 million pages units into visit units' sessions, resulting in a total of over 500,000 website visit sessions. For each visit session, 12 characteristics such as page view, duration, search diversity, and page type concentration were extracted for clustering analysis. Considering the size of the data set, we performed the analysis using the Mini-Batch K-means algorithm, which has advantages in terms of learning speed and efficiency while maintaining the clustering performance similar to that of the clustering algorithm K-means. The most optimized number of clusters was derived from four, and the differences in session unit characteristics and purchasing rates were identified for each cluster. The online consumer visits the website several times and learns about the product and decides the purchase. In order to analyze the purchasing process over several visits of the online consumer, we constructed the visiting sequence data of the consumer based on the navigation patterns in the web site derived clustering analysis. The visit sequence data includes a series of visiting sequences until one purchase is made, and the items constituting one sequence become cluster labels derived from the foregoing. We have separately established a sequence data for consumers who have made purchases and data on visits for consumers who have only explored products without making purchases during the same period of time. And then sequential pattern mining was applied to extract frequent patterns from each sequence data. The minimum support is set to 10%, and frequent patterns consist of a sequence of cluster labels. While there are common derived patterns in both sequence data, there are also frequent patterns derived only from one side of sequence data. We found that the consumers who made purchases through the comparative analysis of the extracted frequent patterns showed the visiting pattern to decide to purchase the product repeatedly while searching for the specific product. The implication of this study is that we analyze the search type of online consumers by using large - scale click stream data and analyze the patterns of them to explain the behavior of purchasing process with data-driven point. Most studies that typology of online consumers have focused on the characteristics of the type and what factors are key in distinguishing that type. In this study, we carried out an analysis to type the behavior of online consumers, and further analyzed what order the types could be organized into one another and become a series of search patterns. In addition, online retailers will be able to try to improve their purchasing conversion through marketing strategies and recommendations for various types of visit and will be able to evaluate the effect of the strategy through changes in consumers' visit patterns.

• Journal of Korean Society of Rural Planning
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• v.14 no.2
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• pp.33-42
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• 2008

Recently, rural leisure by urban dwellers has been recognized as a catalyst for regional development or restoration. The federal government implemented several regional planning policies attempting to address this phenomenon in the late nineties. However, most of these policies focused on supply-centered planning, which caused a diverse set of problems relating to the sustainability and economic validity of the planning. Instead, this study focuses on the re-visitation one of the demand variables, with the intention of analyzing the character of rural leisure demand and its re-visitation choice attributes. For these reasons, this study investigates the character of current rural leisure demand, and develops functional equations about urban people who visit rural areas, using logit model. The results of this study can be summarized as follow: Urban people are visiting rural areas from nearby cities or metropolitan areas that are within 3 hours driving distance, and over 80% of rural visitors are one-day visitors. Therefore, most of their visitation activities should be understood as rural leisure, including rural tourism. In addition, the likelihood of the rural tourist to make a return visit is influenced by their transportation means, product purchasing, staying period and travel time. The results of such rural leisure demand can provide information for regional planning strategies, such as selection of target market, type of market segments, improvement of recognition level, activity program price, facility and space planning, produce sale and connection with tour site.