• Journal of Distribution Research
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• v.17 no.5
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• pp.113-128
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• 2012

The growth of market share of distributors' brands, also known as private brand, has accelerated in recent years. Sales volumes and market shares of private brands, as well as their appeal to consumers have steadily increased. Carrying private brands comes with numerous advantages, one of which is the relatively high gross margin, which can be 20 - 30% higher compared to manufacturer brands. Recently, many big discount stores are expanding private brand for higher sales volume. Thus, private brands play an important strategic role for retailers. The tendency of growing private brand will decrease sales revenue of both channel members, distributer and manufacturer. The disadvantage for manufacturer is obvious, especially for the manufactures who not only produce their own brands but also retailer brands competing against their own. There are also possible to weaken the brand awareness of manufacturer's brand. The purpose of this study is to explore the perception gap between retailers and manufacturers. we investigated to identify how consumers perceive private brand. In other to study the impact of private brands on distributors, we surveyed the actual condition of private brand and perception towards private brands among consumers, retailers and manufacturers. Based these analysis, we recommended proposal for private brand policies as follows: First, it need to correct imbalance between large retailer and manufacturer. second, we suggest "win-win growth policy", Third, by registering trademark right of national brand, manufacturers have a way of protecting their brands. Forth, manufacturers are encouraged to produce PNB(Private National Brand).

• Journal of Food Hygiene and Safety
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• v.20 no.3
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• pp.165-174
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• 2005

This survey was conducted to monitor the current status of pesticide residues in agricultural products collected in wholesale markets and big retailers in Gwangju, in 2004. A total of 751 samples was analyzed by multiresidue method. Vegetables and fruits accounted for the largest proportion of the commodities analyzed and those two commodity groups comprised 604 $(80\%)\;and\;83\;(11\%)$ of the total number of 751 samples. Of these 751 samples, 112 samples $(14.9\%)$ had pesticide residues and 29 samples $(3.9\%)$ had violative residues. The detection rate was the highest $25\%$ in January and the lowest $9.5\%$ in June. The violation rate was the highest $7.0\%$ in March and the lowest $0\%$ in April. The violation rate in wholesale products was higher than that in big retailer products, $5.8\%$ verses $3.5\%$. And of 112 samples with pesticide residues, the agricultural product in which the pesticide residues were the most flequently detected was perilla leaf $(17.9\%)$ followed by korean lettuce $(16.1\%)$, spinach $(8.0\%)$ and korean cabbage $(5.4\%)$ and among 112 samples, 22 samples $(20\%)$ had more than one pesticide. Procymidone $(20.3\%)$, endosulfan $(18.2\%)$, dimethomorph $(13.3\%)$, chlorpyrifos $(7.7\%)$ and azoxystrobin $(6.3\%)$ were the most frequently found in agricultural product analyzed.

• Journal of Distribution Science
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• v.17 no.11
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• pp.63-72
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• 2019

Purpose: Black Friday is a globally used as a promotion event. A lot of South Korean retailers also have used it as their promotion concepts. But South Korean Consumers' response to Black Friday has never been investigated academically. This study examined Black Friday shopping of South Korean consumers, including experiences, perceptions, motives and shopping mechanism. Research design, data and methodology: To verify the purposes of this research, a survey was conducted with 462 participants. This study analyzed descriptive features of experiences, perceptions and motives and developed and tested the model of shopping mechanism. Results: South Korean consumers perceive Black Friday as one of the credible marketing tactics offering a big price discount. They have generally positive perceptions and shopping experiences toward Black Friday. The key motive of Black Friday shopping is for saving cost. In addition, for South Korean consumers, perceived deal value, perceived innovativeness, saving cost motive and fun motive are important antecedents of shopping on Black Friday, and attitude toward Black Friday plays a mediating role between antecedents and shopping behavior. Conclusions: The findings of this study provide practical and theoretical insight to understand the impact of Black Friday in South Korea.

• Korean Management Science Review
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• v.34 no.2
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• pp.15-33
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• 2017

This paper considers a Bayesian Network analysis for understanding the heterogeneous cross-category effects of different promotion activities and developing an efficient overall promotion strategy for a large retail store. More specifically we differentiate price reduction promotion and floor promotion and study their heterogeneous effect on consumer purchase behavior under a market basket setting. We then utilize Bayesian networks in identifying complex association structure in market basket dataset by analyzing the effects of different promotional activities and also include the effects of time, family income and size. We find from our Bayesian network analysis that the dominant cross-category promotion effect of price promotion is the indirect effect whereas the dominant cross-category promotion effect of floor promotion is the direct effect. Also, among the demographic variables we find that family size of the household is linked with more product categories compared to income and see that there are differences in the extent of the effects by product category. Finally, we also show the existence of products acting as a network hub and how they can be utilized by retailers faced with a limited marketing budget and suggest a more efficient promotion strategy.

• Journal of Fashion Business
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• v.14 no.5
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• pp.21-34
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• 2010

The purpose of this study is to examine the main characteristics of strategies and fashion styles in fast fashion. Ultimately, this study is aimed to give useful information to develop fast fashion companies in Korean apparel industry. There are several strategies commonly applied in most fast fashion companies. First, they produce a wide range of numerous items. Second, the price is very reasonable. The primary objective of fast fashion is to quickly produce products in a cost efficient manner. Third, fast fashion companies take charge in the whole process from designing and manufacturing to distribution and sales. Forth, while almost all apparel companies invest a large amount in advertisement to promote sales, most fast fashion companies invest in VMD instead. Also, the fashion style of fast fashion were examined. First, casual style dominated a big part in composition of the entire style. Second, they use various kinds of different fabrics. For example, natural fabrics including organic and recycled fabrics, denims, newly invented high-tech fabrics, and decorative fabrics are widely used. Third, fast fashion brands produce fashion product based on the most recent fashion trends. Forth, they pursue high quality design. Retailers' understanding of the target market's wants realizes the consumer to thrive on constant change and the frequent availability of new products. Accordingly, fast fashion is presently taking an important role in fashion although it has a short history compared to the general apparel industry.

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.99-117
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• 2006

Consumers keep demanding for diversified high quality products, valuable services and safety. With this in mind, Distribution Industry is being updated rapidly to accomodate this demand. Meanwhile, Distribution Information Technology of agricultural products has been in slow progress with little in-depth studies. In this study, it has been analyzed the usage of Bar code which is the key element for agricultural Distribution Information Technology. The analysis was conducted through a survey utilizing questionnaire covering 5 Hypermarkets(Super-centers) including big 3 companies. Also, Japanese market trends have been studied to visit a Japan Government Organization concerned, GS1 Japan, an Agricultural Cooperative, an Agricultural Wholesale Market, and a Retail Company. If we could use KAN code for all agricultural products, we could collect and analyze the information of price and trade quantity of them. It opens a new era to understand the agricultural products supply and demand easily. This will certainly make a great contribution to the evolution of agricultural products distribution. From this research, it is suggested that collective efforts by suppliers, wholesalers, retailers and Government Officers are needed to make large scale mutual marketing Organizations, which specialize in sending out agricultural products. The Organization is recommended to standardize and pack every final agricultural products, to promote the use of KAN code.

• Journal of Distribution Science
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• v.19 no.4
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• pp.25-35
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• 2021

Purpose: This study aims to analyze the factors affecting customer satisfaction in the customer reviews of omni-channel, posted on Internet blogs, cafes, and YouTube using text mining analysis. Research, data, and Methodology: In this study, frequency analysis is performed and the LDA (Latent Dirichlet Allocation) is used to analyze social big data to respond to reviewers' reaction to the recently opened omni-channel shopping reviews by L Shopping Company. Additionally, based on the topic analysis, we conduct a sentiment analysis on purchase reviews and analyze the characteristics of each topic on the positive or negative sentiments of omni-channel app users. Results: As a result of a topic analysis, four main topics are derived: delivery and events, economic value, recommendations and convenience, and product quality and brand awareness. The emotional analysis reveals that the reviewers have many positive evaluations for price policy and product promotion, but negative evaluations for app use, delivery, and product quality. Conclusions: Retailers can establish customized marketing strategies by identifying the customer's major interests through text mining analysis. Additionally, the analysis of sentiment by subject becomes an important indicator for developing products and services that customers want by identifying areas that satisfy customers and areas that evoke negative reactions.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.1058-1073
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• 2022

Big data analytics and social media have shifted the way fashion trends are dictated. Fashion as a medium for expressing gender has created new concepts of masculinity in popular culture, where men are increasingly depicted in a softer style. In this study, we analyzed 2,879 menswear collections over a 10-year period from Vogue US to uncover key menswear trends. Using Semantic Network Analysis (SNA) on Orange3, we were able to quantitatively analyze how contemporary menswear designers interpreted diversified trends of masculinity on the runway. Frequency and degree centrality were measured to weigh the significance of trend keywords. "Jacket (f = 3056; DC = 0.80), shirt (f = 1912; DC = 0.60) and pant (f = 1618; DC = 0.53)" were among the most prominent keywords. Our results showed that soft masculine keywords, e.g., "lace, floral, and pink" also appeared, but with the majority scoring DC = < 0.10. The findings provide an insight into key menswear trends through frequency, degree centrality measurements, time-series analysis, egocentric, and visual semantic networks. This also demonstrates the feasibility of using text analytics to visualize design trends, concepts, and patterns for application as an ideation tool for academic researchers, designers, and fashion retailers.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.439-456
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• 2020

In online shopping, "out-of-stock" and "sold-out" are used to indicate product unavailability, and this unavailability and its effects on consumers' behaviors have been studied with great interest for practical purposes. However, few studies have specifically discussed out-of-stock and sold-out products in the same paper. We hypothesized that consumers might cognitively interpret items marked out-of-stock and sold-out differently, and in this paper, we studied these potential differences from the perspectives of consumers' emotions, behaviors, and loyalty based on the stimulus-organism-response framework. In order to explore the differences, we used a multi-method approach that consisted of experiments, surveys, and interviews. Specifically, we built an experimental website on which the same products were categorized as either out-of-stock or sold-out, and we measured the participants' emotions, attitudes, and intentions after the experiment. After two weeks, we conducted interviews to confirm our results and to learn more about consumers' everyday behavior. In the results, males and females demonstrated differences in emotion, behaviors, and loyalty with the interaction effects of an item's being marked out-of-stock versus sold-out. We found that the consumers demonstrated different levels of loyalty based on whether the item was marked out-of-stock or sold-out. We discuss the strategic implications of our findings.

• Journal of Distribution Science
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• v.12 no.2
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• pp.17-25
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• 2014

Purpose - This study used empirical methods to investigate the consciousness structure of vendors in the S marketing area, which is a commercial revitalization district in the country, and examined its effect on their business activities. Based on the results derived through the performance of an actual proof analysis, this study aims to facilitate the promotion of changes in the consciousness structures of traditional market vendors, with a view to allowing them to adapt to the current economic realities in the country. Further, this study aims to provide suggestions that would improve the efficiency of the commercial revitalization program of the government. Research design, data, and methodology - This study examined all the stores in the S marketing area using a questionnaire survey conducted over three weeks beginning on July 4, 2012, and involved the performance of a data analysis on 1,859 samples. The questionnaire consisted of two parts. The first part addressed the market revitalization and the second part addressed the store management strategies. Questionnaire responses were calibrated based on a Likert scale. Statistical analysis was conducted using PASW version 18.0. Results - The results of the analysis of the consciousness structure of merchants in the S marketing area have led to the discovery that they have a medium level of satisfaction with market revitalization. There was a difference in the perceptions of the concept of store management between merchants and customers. Merchants have poor strategies for store management, which do not go much beyond an imitation of the practices of large domestic discount stores. Conclusions - The appearance of big discount stores and the accompanying changes in people's consumption patterns have led to a decline in local market areas. The government has sought new ways to secure autogenic power for local markets. To create regional economies, the government enacted a revised "Law for creating traditional markets and shopping streets" in 2010 and introduced a commercial district revitalization program. This program, which originally supported only the S marketing area, has subsequently expanded into neighboring shopping districts so that the whole of the regional market can be revitalized. However, since the revitalization of the traditional market and the government support required for it were mostly limited to facilities, the result has not proved to be effective. Although there are several reasons why the government investment was characterized by poor efficiency, traditional market vendors' consciousness structure, which did not adapt well to the vagaries of time and its consequent changes, was a major cause. Only when vendors have a true merchant spirit can they have a real service focus that will enable them to clearly understand the distribution organization. This will have the effect of bring about complete customer satisfaction and will ensure the survival and development of traditional markets.