Journal of the Korean association of regional geographers
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v.4
no.1
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pp.57-76
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1998
Yanji(延吉) city is the district seat of the Yanbian(延邊) Korean Autonomous District where is located in the Jilin(吉林) Province in China, and also the largest city with a population of three hundred sixty thousand, Since the mid-1980s, the inter-exchange and cooperation between Yanbian District and South Korea has been increased rapidly. That draw many scholars' attention to studying Yanbian District and Korean Chinese as a research theme for area studies. Unfortunately they neglect the study of the commerce and service industry in Yanbian city, which has indicated its rapid growth by the market economic policy of China, and an inter-exchange between Korean Chinese and Korean. The purpose of this study is to provide an information to many Korean potential investors for an investment strategy of the commerce and service industry in Yanji city. In order to do so, this study consists of three major steps. First of all. we analyzed the regional structure and locational characteristics of the commerce and service industry in Yanji City. Secondly, we investigated the characteristics of consumers behavior toward purchasing goods and service facilities. Finally, we supplied the proper businesses and location information for investment to Korean firms according to the results that identified above. In conclusion, we suggest that the proper businesses to invest are department store, retail clothing store, shoes store, cosmetics store, electronics and home appliances store, oversea branch offices of trading companies, Korean-style restaurant, hotel, nightclubs, Korean-style music room(Noraebang), travel agencies, beauty parlors, video rooms, electronic games, and so on. We also suggest that the proper locational areas to invest those businesses are the core area of the commerce and service industry in Yanji, where are Xinxing(新興) 3-zone and Jinxue(進學) 2-zone expressed in the Yanji city figure.
Purpose - This paper attempts to identify the problems and limitations of a market maintenance project conducted according to the 「Special Act for the Development of Traditional Markets and Shopping Street」 and to present a revised direction for the special law and lay the groundwork for market maintenance projects to be promoted smoothly. Research design, data, and methodology - The revised direction for the legislation and the proposal were written based on an investigation of the problems and the legal system, and proposed measures for market maintenance operation and system improvements to derive the improvements needed for market maintenance projects. Results - A market maintenance project has been conducted as a means to reinvigorate traditional markets that are economically depressed, and to revive the local economy. It was largely conducted in the form of reconstruction and redevelopment and represents the interests of landowners and merchants. Thus, it is most likely to contribute to the gradual disappearance of traditional markets. First, as part of a market maintenance project, many companies are building multipurpose buildings or high-rise residential buildings to increase profits. In these high-rise buildings, they can raise rents, which may not be affordable for some existing small businesses. To solve such problems, the large-scale store registration requirement needs to be relaxed or abolished once the market maintenance project is completed. If the large-scale store registration requirement is to be abolished, the term 'large retail store' should be changed in the 「Special Act for the Development of Traditional Markets and Shopping Street」. After registration, the Small and Medium Business Administration should train merchants, offer consultations, and support events, to the extent that the existing traditional market management modernization project permits, and further continue to manage and support its ongoing activities. However, unless large-scale store registration is abolished, adding an exception clause in the special law to relax large-scale store registration criteria, and permitting changes to building use is another option. At the end of a market maintenance project, empty stores should be purchased by the Small and Medium Business Administration, and local government, etc., at the actual construction cost, to utilize them as public rental shopping areas, which in turn may be re-utilized as a temporary market for another market maintenance project. The second problem in market maintenance projects is merchant-protection. Currently, the special law prescribes that a temporary market be created for merchants to conduct business during the rental period of a market maintenance project. Conclusions - In reality, a market maintenance project is conducted usually in big metropolitan cities with 500,000 residents or more. The main building type created under these projects is a multipurpose building. For this reason, it is very difficult to secure a location for a temporary market in the surrounding area of such a project. To solve this problem, this study suggests 'public rental shopping areas' as mentioned above.
The product evaluation and purchasing behavior of US brand jeans have been studied. The intrinsic and extrinsic cues are usually adopted to interpret the purchasing decison making processes. Among extrinsic cues price and brand name have been studied exten-sively but country-of-origin has not been examined in Korea. With the liberalization of retail industry foreign brands are aggressively penetrating in Korean pparel market. Since the penetration of imported apparel has increased tremendously lately the consumer attitude toward foreign produced clothing has great importance. The findings of the study were 1) Price was the most important among extrinsic cues ex-cept quality. Brand name was more important than store and country-of-origin. 2) The country image had significant influence to the preference as apparel production country. 3) The evaluation and willingness to buy of the jeans were greatly influenced by the be-havioral charcteristics of consumer variables. 4) The model to predict the willingness to buy of the jeans has been developed.
Proceedings of the Korea Port Economic Association Conference
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2003.07a
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pp.193-218
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2003
Today, the marketplace environment is changing faster and more dramatically than ever before. With the rapid growth of Internet Shopping mall, electronic commerce transaction, we have big changes on distribution fields. At this circumstances, traditional markets cannot help suffering from serious contraction and market failure between highly advanced department store and internet based shopping mall giving lower prices and higher customer satisfaction program. In addition, traditional markets have made an critical role on our retail markets for a long time, but they confront a crucial crisis on nationwide owing to external markets circumstance change and internal factors. In this study, we made efforts to suggest rational political scheme to recover many difficulties as analyzing market factors affecting traditional market, such as, modernized management skill, specialized items, customers satisfactions program, and so forth.
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.
Internet commerce has been growing at a rapid pace for the last decade. Many firms try to reach wider consumer markets by adding the Internet channel to the existing traditional channels. Despite the various benefits of the Internet channel, a significant number of firms failed in managing the new type of channel. Previous studies could not cleary explain these conflicting results associated with the Internet channel. One of the major reasons is most of the previous studies conducted analyses under a specific market condition and claimed that as the impact of Internet channel introduction. Therefore, their results are strongly influenced by the specific market settings. However, firms face various market conditions in the real worlddensity and disutility of using the Internet. The purpose of this study is to investigate the impact of various market environments on a firm's optimal channel strategy by employing a flexible game theory model. We capture various market conditions with consumer density and disutility of using the Internet.
shows the channel structures analyzed in this study. Before the Internet channel is introduced, a monopoly manufacturer sells its products through an independent physical store. From this structure, the manufacturer could introduce its own Internet channel (MI). The independent physical store could also introduce its own Internet channel and coordinate it with the existing physical store (RI). An independent Internet retailer such as Amazon could enter this market (II). In this case, two types of independent retailers compete with each other. In this model, consumers are uniformly distributed on the two dimensional space. Consumer heterogeneity is captured by a consumer's geographical location (ci) and his disutility of using the Internet channel (${\delta}_{N_i}$).
shows various market conditions captured by the two consumer heterogeneities.
(a) illustrates a market with symmetric consumer distributions. The model captures explicitly the asymmetric distributions of consumer disutility in a market as well. In a market like that is represented in
(c), the average consumer disutility of using an Internet store is relatively smaller than that of using a physical store. For example, this case represents the market in which 1) the product is suitable for Internet transactions (e.g., books) or 2) the level of E-Commerce readiness is high such as in Denmark or Finland. On the other hand, the average consumer disutility when using an Internet store is relatively greater than that of using a physical store in a market like (b). Countries like Ukraine and Bulgaria, or the market for "experience goods" such as shoes, could be examples of this market condition.
summarizes the various scenarios of consumer distributions analyzed in this study. The range for disutility of using the Internet (${\delta}_{N_i}$) is held constant, while the range of consumer distribution (${\chi}_i$) varies from -25 to 25, from -50 to 50, from -100 to 100, from -150 to 150, and from -200 to 200.
summarizes the analysis results. As the average travel cost in a market decreases while the average disutility of Internet use remains the same, average retail price, total quantity sold, physical store profit, monopoly manufacturer profit, and thus, total channel profit increase. On the other hand, the quantity sold through the Internet and the profit of the Internet store decrease with a decreasing average travel cost relative to the average disutility of Internet use. We find that a channel that has an advantage over the other kind of channel serves a larger portion of the market. In a market with a high average travel cost, in which the Internet store has a relative advantage over the physical store, for example, the Internet store becomes a mass-retailer serving a larger portion of the market. This result implies that the Internet becomes a more significant distribution channel in those markets characterized by greater geographical dispersion of buyers, or as consumers become more proficient in Internet usage. The results indicate that the degree of price discrimination also varies depending on the distribution of consumer disutility in a market. The manufacturer in a market in which the average travel cost is higher than the average disutility of using the Internet has a stronger incentive for price discrimination than the manufacturer in a market where the average travel cost is relatively lower. We also find that the manufacturer has a stronger incentive to maintain a high price level when the average travel cost in a market is relatively low. Additionally, the retail competition effect due to Internet channel introduction strengthens as average travel cost in a market decreases. This result indicates that a manufacturer's channel power relative to that of the independent physical retailer becomes stronger with a decreasing average travel cost. This implication is counter-intuitive, because it is widely believed that the negative impact of Internet channel introduction on a competing physical retailer is more significant in a market like Russia, where consumers are more geographically dispersed, than in a market like Hong Kong, that has a condensed geographic distribution of consumers.