• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.37-48
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• 2023

Purpose - This study aims to explore the influence of emotional discrepancies among investors on the cryptocurrency market. It focuses on how varying emotions affect market dynamics such as volatility and trading volume in the context of Bitcoin trading. Design/methodology/approach - This study involves analyzing data from Bitcointalk.org, consisting of 57,963 posts and 2,215,776 responses from November 22, 2009, to December 31, 2022. Tools used include the Linguistic Inquiry and Word Count (LIWC) software for classifying emotional content and the Python Pattern library for sentiment analysis. Findings - The results show that heterogeneous emotional feedback, whether positive or negative, significantly influences Bitcoin's intraday volatility, skewness, and trading volume. These findings are more pronounced when the underlying emotion in the feedback is amplified. Research implications or Originality - This study underscores the significance of emotional factors in financial decision-making, especially within the realm of social media. It suggests that investors and market strategists should consider the emotional landscape of online forums when making investment choices or formulating market strategies. The research also paves the way for future studies regarding the behavioral impact of emotions on the cryptocurrency market.

• Journal of Distribution Science
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• v.18 no.12
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• pp.55-66
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• 2020

Purpose: For bakery retailers that want to enter the Chinese market, this study seeks to draw implications through the analysis of Paris Baguette, Paul Bakery and local competitors. In particular, the study analyzes entry strategies, as well as the advantages and disadvantages of the companies. Research design, data and methodology: This study analyzed the Chinese bakery industry and overviewed the policy of bakery industry. The research method utilized Chinese Statistical Yearbook of Food Industry and literature related to Chinese bakery industry. Additionally, this study used case analysis methods for foreign and local bakery enterprises in the bakery industry. Results: During the rapid growth of bakery industry, Paris Baguette made a successful settlement by utilizing localization strategy; while on the contrary, Paul Bakery took a standardization strategy and failed in the Chinese market. Conclusions: Paris Baguette succeeded in launching localized products after thoroughly analyzing products that suit local tastes in China. However, Paul Bakery has been knocked out of the Chinese market for failing to capture the taste of the Chinese people by launching standardized products that reproduce French culture and taste. As such, the Chinese market is huge and differences exist in different provinces, so standardization and localization strategies should be appropriately utilized.

• Journal of Wellbeing Management and Applied Psychology
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• v.4 no.2
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• pp.1-13
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• 2021

Purpose: This study analyzed the general status and conditions of the kimchi industry in Korea. The purpose of this study is to contribute to the information of a desirable kimchi market by analyzing the distribution, price, market, and consumers of kimchi based on the current status and status of the kimchi industry in Korea. Research design, data and methodology: This study basically conducted research design and analysis based on theoretical consideration and kimchi market data. Results: The conclusion of the study is that in order to globalize kimchi, it is expected that a strategy to target overseas markets with relatively low competition through a low-salt diet and premium strategy along with the image of Western health is expected. Conclusions: In Korea, small and medium-sized companies can target the B2B (Business-to-Business) market first and then target department stores or convenience stores at a stable time in the future to expand sales channels and profitability through premium or low-cost policies. Another strategy is to target overseas markets as soon as the company stabilizes through B2B. Therefore, in the kimchi industry, it is necessary to establish a sales/marketing strategy according to what position and position of one's own company in the kimchi industry.

• Fashion & Textile Research Journal
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• v.5 no.5
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• pp.503-510
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• 2003

The purpose this study is to segments apparel market based on difference real-self image and ideal-self image. The objects of the study were to prepare for the establishment of marketing strategy and alternative plan intended to users which are needed in subdivided market, after analyzing according to what the subdivided market is divided into due to the difference real-self image and idea-self image and what difference do they show as a demographic special quality or as a general active special quality in each subdivided market. Factor analysis was performed to determine the leading difference real-self image and ideal-self image, and cluster analysis was employed to identify groups of respondents based on the delineated five image difference factors. Based on the finding, three distinct groups were formed: ideal-self image seeker group, moderators group, real-self image seeker group. And logistic regression was used to assess the relative importance that demographic characteristics play in determining the segmentation. The results of this study show statistically significant differences among the three groups in terms of demographic. Marketing and management implications for effectively targeting the segments are discussed.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.56-67
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• 2012

The User Created Contents (UCC) are traded actively on the on-line market. The current pricing policy on the UCC market is the fixed pricing, which is set by the seller once and price never changes again. However market demand and supply are changing hourly, so the studies about dynamic pricing to determine more properly have been carried out. This paper suggests dynamic pricing models for UCC by analyzing the customer's searching pattern. We propose 2 pricing models (trend change-based pricing model and relative pricing model), and experiment various status by controlling system and market variables. We demonstrated our model by computational modeling and simulation. The result of this research can be useful guidelines to increase the revenue and profit of the UCC Market.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.879-886
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• 2009

The purpose of this article is to present the application of Least Squares Support Vector Machine in analyzing the existing structure of brand. We estimate the parameters of the Market Share Attraction Model using a non-parametric technique for function estimation called Least Squares Support Vector Machine, which allows us to perform even nonlinear regression by constructing a linear regression function in a high dimensional feature space. Estimation by Least Squares Support Vector Machine technique makes it a good candidate for solving the Market Share Attraction Model. To illustrate the performance of the proposed method, we use the car sales data in South Korea's car market.

• Korea Trade Review
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• v.42 no.6
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• pp.27-50
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• 2017

This study is to present practical plan to stimulate Parallel Import Policies, Which is one of the government policies to drop import prices of imported goods. Although, preliminary studies focused on legal aspects related to Intellectual Property Right, from the perspective of trade, we conducted a study on economic aspects through parallel import, consumer welfare, etc. For this study, the parallel import system of the United States and Japan was compared with Korea and the domestic parallel import market status was analyzed by comparing market price. According to the study, the current parallel import system lacked the limits of government regulation and distribution market structure. It proposed practical plans such as political suggestions and changes in distribution structure. This study is meaningful in analyzing the problem of parallel imports that currently occur in the Korea market based on data concerning parallel imports in practical terms

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.187-196
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• 2000

A lot of Internet shopping malls strive for obtaining a competitive advantage over others in an increasingly tighter electronic marketplace. To this end, understanding customer preference toward products (or services) and administering appropriate marketing strategy is essential for their continuous survival. However, only a few marketing researchers and practicioners focused on this issue, compared with academic and industry efforts devoted to traditional market segmentation. In this paper, we suggest a methodology of conjoint segmentation for electronic shopping malls. Traditional market segmentation methodologies based on customer's profile sometimes fail to utilize abundant information given while navigating around cyber shopping malls. In this methodology, we do not impose information overload to the customer for preference elicitation, but this methodology, we do not impose information overload to the customer for preference elicitation, but capture automatically generated surfing or buying data and analyze them to get useful market segmentation information. The methodology consists of 4-stages: 1) analyzing legacy homepages, 2) data preparation, 3) estimating and interpreting the result, and 4) developing marketing mix. Our methodology was to give useful guidelines for market segmentation to companies working in the electronic marketplace.

• Journal of Climate Change Research
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• v.8 no.1
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• pp.73-80
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• 2017

This study sees the past, present and future of the international carbon market. It is expected that it is not until 2020 and beyond before the international carbon market is settled by international consensus, and it is too early to picture the international carbon market at this point. Instead, this study focuses on analyzing the content of Article 6 of the Paris Convention, being fully aware of the uncertainties surrounding the international carbon market and can only be a step in determining the future of the international carbon market. In the future, the international negotiations will be under fierce competition of countries, each of which aims to make their advantageous system or mechanism recognized internationally Therefore, it is necessary for Korea to devise a system that can maximize the national interest and try to be recognized in the international society. To accomplish this, the following tasks are required at the present stage. First, we need to include the basic directions for the reduction using the international carbon market in the preparation of the roadmap for GHG reduction in Korea. Based on the directions presented in the roadmap for reducing GHG emissions, Korea should set up a government-wide plan on the international carbon market. In addition, a long-term TF should be formed to enact such plans in the international community. The international carbon market is an issue that several professional fields overlap, and it is indeed difficult to pursue by a single ministry. Therefore, it is necessary to create and strengthen the TF that can cope immediately with the international movement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.484-491
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• 2021

This study was undertaken to identify success factors of traditional market delivery apps and lead digital transformation of traditional markets. The success factors of traditional market delivery apps are represented by four variables: system characteristics of the app, delivery, products, and responsibility towards customer responses. These factors were analyzed to examine their impact on the operations performance. Data was collected by surveying 148 traditional market business owners. Results of the empirical analysis revealed that the app system characteristics, delivery characteristics, and product sales promotion, impart a significant effect on the operations performance. Conversely, the customer response characteristics showed no significant effects. This could be because some apps lack the function to check customer reviews and respond appropriately. Currently, where traditional market delivery apps are in the early stages of implementation and are gradually expanding, data obtained from this study helps to identify characteristics of traditional market delivery apps, and offers suggestions to create development indicators of the traditional market delivery apps by analyzing their effects on operational performance, thereby contributing to the revival of traditional markets through digital transformation.