• Journal of Fashion Business
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• v.22 no.5
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• pp.83-95
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• 2018

As the paradigm of fashion retail industry moves rapidly to the multi-channel, the role of shop master has changed as well. Therefore, the purpose of this study is to examine in-depth the changing role of shop masters in multi-channel retail paradigms. In-depth interviews were conducted, and all interviews were recorded with permission. Seven shop masters participated in in-depth interviews. All of them were sales specialists, with more than 10 years working experience, at department stores. Results of this study are as follow: First, the roles of a multi-channel shop master include store management, management of sales associates, customer relationship management, and management in relation to the headquarters and suppliers. Second, the most important competencies of shop masters are to forecast future demand, establish information networks, communicate well with others, and create a work environment resulting in higher productivity.

• Journal of Photoscience
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• v.9 no.2
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• pp.9-12
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• 2002

Circadian rhythms can be seen in a variety of physiological functions in insects. Light is a powerful zeitgeber not only synchronizing but also modulating the rhythm to adjust insect's temporal structure to seasonal changes in the environmental cycle. There are two general effects of the length of light phase within 24 hr light cycles on the circadian rhythms, i.e., the modulation of free-running period and the waveform. Since the photoperiodic modulation of the free-running period is induced even in the clock mutant flies, per$\^$s/, the free-running period is not fully determined genetically. In crickets, the ratio of activity (a) and rest phase (p) under the constant darkness (DD) is clearly dependent on the photoperiod under which they have been kept. When experienced the longer photoperiod it becomes smaller. The magnitude of change in a/p-ratio is dependent on the number of cycles they experienced. The neuronal activity of the optic lobe in DD shows the a/p-ratio changing with the preceding photoperiod. These data suggest that a single circadian pacemaker stores and maintains the photoperiodic information and that there is a system that accumulates the effects of single photoperiod to cause greater effects.

• Korean Journal of Agricultural Science
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• v.36 no.2
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• pp.211-217
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• 2009

Total fatty acid compositions, total content of crude fat, saturated, unsaturated and trans fatty acid content were studied in children's favorite foods such as hot dog, chicken popcorn, fried potato, snack and cookies, and imported biscuit. The samples were obtained from various stores in Daejeon. After fat extraction, methylation was carried out to analyze the fatty acid compositions by gas chromatography. The results showed that content of the trans fatty acid per 100 g of the hot dog, chicken popcorn, fried potato, snack and cookies, and imported biscuit were 0.02~0.03 g, 0.05~0.08 g, 0.02~0.05 g, 0.02~0.27 g, and 0.05~0.83 g, respectively. The highest content of saturated fatty acid (66.24%) was observed in the imported biscuit among the 20 analyzed samples.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.3 no.5
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• pp.527-547
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• 2009

Moving object management is widely used in traffic, logistic and data mining applications in ubiquitous environments. It is required to analyze spatio-temporal data and trajectories for moving object management. In this paper, we proposed a novel index structure for spatio-temporal aggregation of trajectory in a constrained network, named aCN-RB-tree. It manages aggregation values of trajectories using a constraint network-based index and it also supports direction of trajectory. An aCN-RB-tree consists of an aR-tree in its center and an extended B-tree. In this structure, an aR-tree is similar to a Min/Max R-tree, which stores the child nodes' max aggregation value in the parent node. Also, the proposed index structure is based on a constrained network structure such as a FNR-tree, so that it can decrease the dead space of index nodes. Each leaf node of an aR-tree has an extended B-tree which can store timestamp-based aggregation values. As it considers the direction of trajectory, the extended B-tree has a structure with direction. So this kind of aCN-RB-tree index can support efficient search for trajectory and traffic zone. The aCN-RB-tree can find a moving object trajectory in a given time interval efficiently. It can support traffic management systems and mining systems in ubiquitous environments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3182-3202
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• 2015

Flexibly expanding the storage capacity required to process a large amount of rapidly increasing unstructured log data is difficult in a conventional computing environment. In addition, implementing a log processing system providing features that categorize and analyze unstructured log data is extremely difficult. To overcome such limitations, we propose and design a MongoDB-based unstructured log processing system (MdbULPS) for collecting, categorizing, and analyzing log data generated from banks. The proposed system includes a Hadoop-based analysis module for reliable parallel-distributed processing of massive log data. Furthermore, because the Hadoop distributed file system (HDFS) stores data by generating replicas of collected log data in block units, the proposed system offers automatic system recovery against system failures and data loss. Finally, by establishing a distributed database using the NoSQL-based MongoDB, the proposed system provides methods of effectively processing unstructured log data. To evaluate the proposed system, we conducted three different performance tests on a local test bed including twelve nodes: comparing our system with a MySQL-based approach, comparing it with an Hbase-based approach, and changing the chunk size option. From the experiments, we found that our system showed better performance in processing unstructured log data.

• Food Quality and Culture
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• v.2 no.1
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• pp.6-12
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• 2008

This study examined the actual consumption status and consumer preference for juk via questionnaire survey to provide useful basic data for the development of diversified commercial juk products. The survey data were collected from a target number of 450 participants living in the Seoul area. The subjects represented different age groups (over 20 years old) and both genders. Through a market survey based on five different retailers, which included juk-specialty stores, supermarkets, and local shopping marts, 17 kinds of commercial juk were chosen for the survey. Consumption frequency and purchasing factors were examined, along with preferences toward commercial juk products and areas for quality improvement. The results revealed that 54.0% of the respondents consumed commercial juk, and male consumers exceeded female consumers in number. It was also shown that those in their $20^{\circ}{\O}s$ consumed commercial juk products the least as compared to other age groups. With regard to commercial juk preferences by type of production mode, females especially preferred specialty store juk while males preferred retort juk sold in supermarkets or local shopping marts. In addition, 85.7% of the total respondents indicated that commercial juk should be further improved in quality, and they specifically noted possible improvements in the areas of 'choice diversification' and 'healthy juk' products. Therefore, one can conclude that by making such improvements, increase in consumption and further diversification of commercial juk products could be realized.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.347-371
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• 2015

A hybrid procedure based on multi-Criteria Satisfaction Analysis (MUSA) and a Network Data Envelopment Analysis (NDEA) is proposed to evaluate the relative efficiency of customer services in bank branches. First, a three-stage process including sub-processes such as customer expectations, customer satisfaction, and customer loyalty, is defined to model the banking customer services. Then, fulfillment of customer expectations, customer loyalty level, and the customer satisfaction degree are measured and quantified through a multi-dimensional questionnaire based on customers' perceptions analysis and MUSA method, respectively. The customer services scores and the other criteria such as mean of employee evaluation score, operation costs, assets, deposits, loans, number of accounts are considered in network three-stage DEA model. The proposed NDEA model is formed based on multipliers perspective, output-oriented, and constant return to scale assumptions. The proposed NDEA model quantifies and assesses the total efficiency of main process and assigns the efficiency to customer expectations, customer satisfactions, and customer loyalties sub-processes in bank branches. The whole procedure is applied on 30 bank branches in IRAN. The proposed approach can be used in other organizations such as airports, airline agencies, urban transportation systems, railway organizations, chain stores, chain restaurants, public libraries, and entertainment centers.

• The Korean Journal of Franchise Management
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• v.3 no.1
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• pp.46-72
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• 2012

Currently, the service industry share in domestic industry is increasing. Especially the size and marketability of the food service industry, which satisfies with basic human desire, is growing significantly. In this food industry, the coffee industry is recognized as a different area from the traditional food industry. The age of instant coffee at low price has gone. Today, more and more customers want to drink more delicious coffee and coffee that is good to their bodies. Especially as individualism has been rambling, more and more people enjoy individualism and want their personal space. This is why coffee speciality stores have been universalized. Also, as coffee speciality stores have been generalized, their own service quality is necessary and they should satisfy and affirm their loyalty to the customers in line with the enhancement of service quality. The purpose of this research is understanding of the impact of coffee specialty shop's service quality on affective commitment and repurchase intentions. The results of an empirical study in this research are as follows: First, compassion among the execution factors of coffee specialty shop's quality has a positive effect on both of affective commitment. But typicality and reactivity don't. Second, affective commitment have a positive effect on repurchase intentions. With a base of the above research result, we should comprehend that another service quality factor exists compared to other dining-out industry and establish marketing strategies in order to contribute to enhance repurchase intentions for the customers.

• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.2
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• pp.35-54
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• 2009

The recent economic crisis not only reduces the profit of department stores but also incurs the significance losses caused by the increasing late-payment rate of credit cards. Under this pressure, the scope of credit prediction needs to be broadened from the simple prediction of whether this customer has a good credit or not to the accurate prediction of how much profit can be gained from this customer. This study classifies the delinquent customers of credit card in a Korean department store into homogeneous clusters. Using this information, this study analyzes the repayment patterns for each cluster and develops the credit prediction system to manage the delinquent customers. The model presented by this study uses Kohonen network, which is one of artificial neural networks of data mining technique, to cluster the credit delinquent customers into clusters. Cox proportional hazard model is also used, which is one of survival analysis used in medical statistics, to analyze the repayment patterns of the delinquent customers in each cluster. The presented model estimates the repayment period of delinquent customers for each cluster and introduces the influencing variables on the repayment pattern prediction. Although there are some differences among clusters, the variables about the purchasing frequency in a month and the average number of installment repayment are the most predictive variables for the repayment pattern. The accuracy of the presented system leaches 97.5%.

• Food Science and Biotechnology
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• v.16 no.4
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• pp.621-625
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• 2007

Staphylococcus aureus in Korean kimbab rolls was monitored seasonally in 4 major cities of Korea to investigate the risk of S. aureus in a pre-prepared meal. Thirty-five (28.6%) of 105 kimbab rolls purchased in winter were contaminated with S. aureus with an average level of 2.6 log CFU/g. Thirty-six (33.0%) of 109 kimbab rolls purchased in summer and autumn were contained S. aureus with an average level of 2.9 log CFU/g. Kimbab purchased in snack bars showed higher S. aureus contamination rates with the maximum level of 4.7 log CFU/g than that purchased in convenience stores. Of the raw materials in kimbab, uncooked perilla leaf had the highest contamination rate of S. aureus. Less than 50% of S. aureus isolated from kimbab produced enterotoxin and most of the staphylococcal enterotoxin produced by S. aureus in kimbab was type A.