• Culinary science and hospitality research
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• v.5 no.1
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• pp.249-272
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• 1999

The purpose of this was to solve conceptual problems of family restaurant through theoretical approach, to improve problems associated with managing restaurants, and to suggest plans for family restaurant chains. First of all, in order to improve the problems of franchising, the contents of contract were analyzed by showing the examples, and the methods were illustrated to analyze the overall contents. Hereafter, family restaurants will be categorized as either 'Casual Dining' or 'Theme Restaurant', some of the nicknames for family restaurant. However, the fundamental categories will be in accordance with the categories of NRA of the U.S.A. as 'Family Chain Restaurant', 'Grill-Buffet Restaurant' and 'Dinner House'. It is hoped that the future study categorize these three in more details. The problems of restaurant management were considered to be concerned with the owner and the managerial problems. As a way to overcome the problems associated with restaurant chain concept, the importance of manual and food & beverage production, the analysis on different methods of store development, the characteristics of manual, the interested items when filling-out, and the methods were presented. The basic systems of commissary food service were introduced and their effects were presented as well in this study. The stages of store development and the models of expansion were presented for an analysis. The main focus of this study was to grasp the flow of organizational and store expansion by analyzing on-site stores and headquarters office hence find out the reason why the current portion of family restaurant is decreasing and not increasing among dining out industry. Therefore, it has brought a great opportunity to seize the problems of structual systems of family restaurant. A family restaurant is no longer perceived as an ordinary restaurant, yet it represents a whole new cultural environment due to the unique characteristics of family restaurant such as its food culture, protocol, and various shapes and sizes. The researcher of this study extends his wish that the future study reinvestigates differently categorized family restaurant and gives much attention to a systematically independent research subject.

• Korean journal of food and cookery science
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• v.32 no.6
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• pp.724-733
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• 2016

Purpose: This study was to evaluate the microbiological quality of salads in lunchbox's based on the holding time and temperature at convenience and franchise stores. Methods: Cabbage salad and crab meat salad were targeted for microbiological quality assessment. They were tested for aerobic plate counts, coliforms, Escherichia coli, Staphylococcus aureus and Enterobacteriaceae and assessment were performed by Korean Food Standards Codex. Results: In cabbage salad at convenience franchise store's at $5^{\circ}C$, the aerobic plate counts did not exceed the Korean Food Standards Codex. For cabbage salad stored at $25^{\circ}C$, the aerobic plate counts was 5.08 log CFU/g we hours after purchase, which exceeded the Korean Food Standards Codex. In case of cabbage salad in franchise store, the E. coli and S. aureus count exceeded Korean Food Standards Codex 3 hours after purchase. Microbiological analysis did not exceed the Korean Food Standards Codex at $5^{\circ}C$ in crab meat salad in convenience store. At $25^{\circ}C$, the aerobic plate count was detected at 4.45 log CFU/g after 32 hours, coliforms, E. coli, and S. aureus did not detect, but Enterobacteriaceae was found to be 2.34 log CFU/g after 9 hours in franchise store's crab salad. Coliforms was detected at 1.18 log CFU/g after 3 hours, and S. aureus was detected at 2.04 log CFU/g after 6 hours at $25^{\circ}C$ in the franchise store. The lunchbox' salad under cold storage ($5^{\circ}C$) generally meet the Korean Food Standards Codex. Conclusion: The results indicate an urgent need to implement proper management guidelines for the production of lunchbox foods to ensure microbiological safety, and to improve the shelf life from production to consumption.

• Journal of Global Scholars of Marketing Science
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• v.19 no.2
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• pp.53-67
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• 2009

For the last decades, service quality has been studied as one of the most important tools for a service company to compete with the other companies. Based on these past researches, it has been agreed that the service quality is a basic and powerful tool to create the competitive advantage. Due to similar reason, many service marketing practitioners have been also focused on the service quality to retain the existing consumers and collect the new consumers. However, service quality is subjectively perceived by individual consumers. Consumer evaluation of service quality can be different from each other. Especially consumers with one life-style may evaluate the service quality differently from the consumers with the other life-styles. Therefore we need to know whether there are differences in service quality perception on the categories of life-style. Life-style refers to a distinctive mode of living in its aggregate and broadest sense. It embodies the patterns that were developed and emerged from the dynamics of living in a society. Since the concept of life-style and its relationship to marketing was introduced in 1963 by William Lazer, methods of measuring the life-style and their application have been developed. Life-style has been usually used to segment the marketplace because it offers marketers a unique and important view of the market. When Life-style is combined with clustering methods, life-style segmentation can generate identifiable whole persons rather than isolated fragment. Life-style segmentation begins with people instead of products and classifies them into different life-style types, each characterized by a unique style of living based on a wide range of activities, interests, and opinions(Plummer, 1974). In this study we applies the life-style segmentation based on the AIO(Activities, Interests, and Opinions) to the consumers of the large discount stores. In Korea, the large discount store market has entered into maturity stage so that the market differentiation strategy is becoming a more critical issue to the marketing practitioners. One of the most important tools to differentiate from the competitors in large discount store market is continuously to provide service of better quality than competitors. This study tries to find answers about the following questions: 1) How can we categorize the consumer life-styles in the large discount store? 2) What are the characteristics of the categorized groups? 3) Are there any differences in service quality perception among the consumers with different life-styles 4) Are there any differences in consumer behavior among them in the large discount store? For the purpose, we collected survey data from consumers and analyzed the data with the SPSS package where we had $X^2$-test, factor analysis, ANOVA, MANOVA, and cluster analysis. The survey was made during one month in the April of 2008. Among the collected 306 copies of questionnaires, 281 copies were chosen as the effective samples for empirical analysis except 25 copies with wrong responses. To identify the life-style patterns, we used the measures employed by Kim and Kwon(1999), where 44 items on a seven-point scale were used to measure factors of the life-style patterns. The Principal Component Method was used for factor extraction, and the VARIMAX orthogonal factor rotation was employed. The 7 items showing low factor loading were eliminated. The results of the factor analysis suggested that nine factors of the life-style patterns were identified as follows: 1) the equality-of-sexes and pursuit-of-independence tendency 2) self-management tendency 3) sociable tendency 4) self-display tendency 5) degree of a dilettante life 6) pursuit-of-information tendency 7) bargain hunter tendency 8) TV preference tendency 9) pursuit-of-leisure tendency. Next, after the K-means cluster analysis was performed with nine factors of the life-style patterns, the life-styles of the respondents were classified into four groups which are named as the 'progressive practicality-oriented group', 'positive success-oriented group', 'sociable ostentation-oriented group', 'stable conservation-oriented group'. The analysis results for usage behavior between the market segments showed statistically significant differences in the frequency of usage, duration time in the store, consumer satisfaction, and loyalty. Also, we tried to investigate whether the large discount store consumers differently perceive the quality of service based upon the types of life-style. To measure the service quality of large discount store, we adapted several measurement models measuring the service quality such as SERVPERF, BCP, R-SERVPERF, R-BCP. MANOVA and One-Way ANOVA were performed to confirm the difference in service quality perception based on the market segments. The results have also shown significant differences between life-style types in service quality perception. These findings show that the large discount store marketers should consider consumer life-style as one of the most important market segments for marketing and understand the difference in service quality perception between life-style types. Our findings give important implications to marketers of large discount stores as well as life-style researchers. First, this study showed there were significant differences in consumer's service quality perception and usage behavior between the types of life-style. It provides evidence that the life-style approach can be a important basis in segmenting the large discount store market and will make consumers perceive the service quality high. Second, most previous researches on service quality have been in aggregate level. However, our results imply that the future research on service quality have to focus on segment level.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.10
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• pp.1621-1631
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• 2010

This study analyzes the effects of department store loyalty programs on consumer relationship quality and the effects of consumer relationship quality on relationship continuity intention in department stores. The survey was conducted on women consumer patrons of department stores in October 2009; 381 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, and multiple regression analysis. As a result, the loyalty programs of department stores were classified by the conformity, shared values, benefit of use, psychological availability, and convenience. The relationship quality of consumers was classified by trust and satisfaction, and the relationship continuity intention of consumers was classified by the continual use intention and word of mouth intention in department stores. The conformity, psychological availability, and convenience of loyalty program influenced the trust of consumers; in addition, the psychological availability influenced the satisfaction of consumers in department stores. The trust and satisfaction of consumers influenced the continual use intention and the satisfaction of consumers influenced the word of mouth intention in department stores.

• The Journal of Society for e-Business Studies
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• v.17 no.1
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• pp.91-110
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• 2012

Recently the effort of retailers improving the efficiency of store operations by using the information technology (IT) is increasing. Among them, the analysis of the shoppers' flow in retail stores is one of the critical tasks since it is an essential part in optimizing store layout and item grouping, and in developing the customized services specialized to shoppers' classification. Agent-Based Modeling and Simulation (ABMS) is one of the most promising methods which support analyzing the shoppers' flow. In this paper, we suggested a shopper's behavior model and developed an agent-based simulator for optimizing the operations of retail stores. In order to model the shoppers' behavior, we analyzed the behavioral characteristics of shoppers based on their shopping lists, suggesting BDI-based agent models of the shoppers' behavior. The shopping agent model were suggested, which has an additional mental state, the shopper's behavioral characteristic, as well as the original mental states of the BDI theory which has beliefs, desires and Intentions. The result of this study can be used in as a preliminary study for modeling and simulation of retail stores congestion and in the end the optimization of item grouping and store layout.

• Korean Management Science Review
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• v.30 no.3
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• pp.33-54
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• 2013

The purpose of this study is to examine the relationships between Product Quality (Popularity, Playfulness) and Information Quality (Informativeness, Reliability), System Quality (Ease of Use, Security), Trust and Continuance Intention in Smart Phone Application Market. To identify these affecting relationships, the secondary data or past studies were collected and theoretically arranged. I made the theoretical proposed model to explain the relationships between the constructs, identify the operational definitions and 13 Hypotheses were established, there was executed the survey of 250 customers of Smart Phone Application Market. Using the collected data, previous performances to confirm the construct validity and internal consistency by Cronbach's a was executed and Partial Least Square Analysis to confirm the hypotheses in proposed model was conducted using the Smart-PLS Software. As the result of test that make the relations of used variables clear, we can get the conclusion as followings; First, Product Popularity has the positive effect on Informativeness, except reliability of Information. Second, it was significantly tested the effect on the Ease of use and Security by Product Playfulness. Third, Informativeness and Ease of Use, Security of App Store have the significantly positive effects on the Users' Trust directly. From the empirical test, I suggest the strategic advices in App Store Companies. To increase the Users' Continuance Intention or Loyalty, it would be developed that a variety of methods and ways to raise the Product Popularity and Playfulness, Informativeness, Ease of Use and Security of App Store. It is necessary for sticking the Users to raise the positive trust building and Continuance Intention.

• Journal of Korean Ophthalmic Optics Society
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• v.14 no.4
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• pp.1-10
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• 2009

Purpose: Recently because goggle and sunglasses is industrial products, unprofessional is selling in store what is not optical store. Due to layman's sale, check of frames or lens, the quality, curve, A/S, is impossible. Therefore layman's sale threated national eye-health. So we investigated in order to know them, merchant of goggle and sunglasses except for optician, about "how many they have optical knowledge?" and "What can they give a service us?" Methods: Regardless age, we get a survey of 208 person who purchased goggle and sunglasses in a store that it is not optical store and 100 of goggle and sunglasses except for optician. Results: Most merchant who haven it knowledge about glasses sells goggle or sunglasses. Even though merchant has knowledge about glasses, It was very littles, now. Conclusions: Optician who have expert knowledge need method that it was very littles. So goggle and sunglasses that it is registered industrial products need method to transform into health instrument.

• The Research Journal of the Costume Culture
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• v.13 no.5 s.58
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• pp.743-755
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• 2005

The Purpose of the study was to compare clothing shopping motives, fashion information sources, evaluation criteria of apparel products, store selection criteria, apparel buying places, and purchasing experience and country of origin place on imported clothing. The total of 371 consumers, college female students in Korea and Japan were sampled in both countries. ANOVA, factor analysis, Duncan's multiple range test, t-test, frequency, and percentage as analysis methods were used. The results of the study were as follows. According to the comparative analysis of clothing purchasing behavior by factors, the result showed that both of them had more personal motives than social ones, regarding clothing purchasing motives. The clothing purchasing motives of students in Korea was higher than it of students in Japan. In the use of information sources, the students of both countries considered the information by consumer very importantly. Next to it, they highly regarded the information by marketer. The students in Korea used all informations more than the students in Japan. In the clothing selection, both of them considered criteria esthetics very importantly. The students in Korea considered 'brand name', 'versatility', and 'pleasing to others' as important, but the students in Japan considered 'price' and 'prestige' very importantly. For store selection criteria, Korean students considered 'duality guaranteed', 'service', and 'their and other's experience' as important but Japanese students regarded 'price' and 'variety of products' as important. A department store was the most highly preferred among clothing purchasing stores. After it, for Korean students, fashion mall, renowned brand stores, discount store were considered in order of preference, for Japan, speciality stores, fashion mall, renowned brand stores are preferred. Regarding imported clothing, Korean students, in order of preference, preferred the goods of America, Italy, France, England, etc. Japan students preferred the goods of America, Italy, China, France, etc.

• Journal of Sericultural and Entomological Science
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• v.36 no.1
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• pp.44-52
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• 1994

Degumming with enzyme Degummase can be a viable alternative to the existing methods of degumming. Degumming, carried out with the conventional method of Marseille's soap 25%(owf) for 1.5h at boil gives a weight loss of about 24%. On Comparison, degumming with 10 enzyme at 5$0^{\circ}C$ for 60 min gives a weight loss of about 22%. Treatment with enzyme requires a much lower temperature and also the treatment time is shorter than the conventional process. Processing of silk at these conditions is likely to retain the lustre and softness of silk. To economise on the quantity of enzyme, conditions were optimised for a pad-store process. An enzyme concentration of 0.5% at 5$0^{\circ}C$ for a time period of 5~6h resulted in a weight loss of 22%. Though the concentration of the enzyme used was 20 times less than that used for long liquor method there was some strength loss. At 5$0^{\circ}C$ treatments carried out for 7~8 h resulted in some degradation. Strength loss occurs because enzyme in the absence of any stirring keeps acting at the place where it is deposited. Effect of temperature was more pronounced than time in degrading silk.