• Journal of the Korean housing association
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• v.11 no.1
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• pp.37-44
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• 2000

The purpose of this research is to examine the evolution of low-cost sales housing and give suggestions for the future housing for the 21st century. This paper investigates the trends of low-cost suburban housing since world War II, as examplified by the Levitt housing in the Northeastern regions of the States. This research analyzes the trends of 14 variables including total floor area. lot size, living room size, kitchen size, mean bedroom size, master bedroom size, number of bedrooms, number of bathrooms, family room, garage, number of story, appliances and features, values, and values per sq ft. Nine entry-level houses were chosen as cases for comparative purpose at different points in time from 1940's to 1990's. This research finds that house sizes have been grown until 1960s, but this trend has reversed with shrinking economy and changing family lifestyles. The trend for smaller housing equipped with several features and convenient equipments will be continued for the next decades to come.

• Korean Journal of Organic Agriculture
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• v.25 no.1
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• pp.53-69
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• 2017

The organic farming was begun with principles and values like environmental friendliness, symbiosis, and cooperation and circulation. And there has cut keen market competition, as sales and market size of organic agricultural products have been much larger. Thus producers and consumers have kept up with the market trend making light of the philosophy and principle of organic agriculture. So cases of fraud or false certification have been increased since 2010. Accordingly, not a few consumers have distrusted of the safety of organic agricultural products. And the status of organic agriculture has shown downward trend and market size of organic agricultural products has been reduced since 2012. Thus the income of organic agricultural farmers hasn't been increased. It is thought that present organic agriculture fell into the crisis. Now, organic agricultural farmers should practice farming methods based upon the philosophy and principle of organic agriculture in order to overcome its crisis.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.96-104
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• 2020

As consumers' consumption activities become more active due to the activation of online shopping malls, companies are conducting item trend analyses to boost sales. The existing item trend analysis methods are analyzed by considering only the activities of users in online shopping mall services, making it difficult to identify trends for new items without purchasing history. In this paper, we propose a trend analysis method that combines data in online shopping mall services and social network data to analyze item trends in users and potential customers in shopping malls. The proposed method uses the user's activity logs for in-service data and utilizes hot topics through word set extraction from social network data set to reflect potential users' interests. Finally, the item trend change is detected over time by utilizing the item index and the number of mentions in the social network. We show the superiority of the proposed method through performance evaluations using social network data.

• The Journal of Economics, Marketing and Management
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• v.11 no.5
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• pp.45-55
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• 2023

Purpose: As one of the continuous studies on the offline distribution industry, the purpose of this study is to find ways for offline stores to respond to the growth of online shopping by identifying research trends on department stores. Research design, data and methodology: To this end, this study conducted word frequency analysis, word co-occurrence frequency analysis, BERTopic, LDA, and dynamic topic modeling using Python 3.7 on a total of 551 English abstracts searched with the keyword 'department store' in scienceON as of October 10, 2022. Results: The results of word frequency analysis and co-occurrence frequency analysis revealed that research related to department stores frequently focuses on factors such as customers, consumers, products, satisfaction, services, and quality. BERTopic and LDA analyses identified five topics, including 'store image,' with 'shopping information' showing relatively high interest, while 'sales systems' were observed to have relatively lower interest. Conclusions: Based on the results of this study, it was concluded that research related to department stores has so far been conducted in a limited scope, and it is insufficient to provide clues for department stores to secure competitiveness against online platforms. Therefore, it is suggested that additional research be conducted on topics such as the true role of department stores in the retail industry, consumer reinterpretation, customer value and lifetime value, department stores as future retail spaces, ethical management, and transparent ESG management.

• Knowledge Management Research
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• v.22 no.4
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• pp.217-235
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• 2021

As 49% of the world's population uses social media platforms, communication and content sharing within social media are becoming more active than ever. In this environmental base, the one-person media market grew rapidly and formed public opinion, creating a new trend called sell-sumer. This study defined new types of influencers by product category by analyzing the subject concentration of the commercial/non-commercial keywords of influencers and the impact of the ratio of commercial postings on sales. It is hoped that influencers working within social media will be helpful to new sales strategies that are transformed into sell-sumers. The method of this study classifies influencers' commercial/non-commercial posts using Python, performs text mining using KoNLPy, and calculates similarity between FastText-based words. As a result, it has been confirmed that the higher the keyword theme concentration of the influencer's commercial posting, the higher the sales. In addition, it was confirmed through the cluster analysis that the influencer types for each product category were classified into four types and that there was a significant difference between groups according to sales. In other words, the implications of this study may suggest empirical solutions of social media sales strategies for influencers working on social media and marketers who want to use them as marketing tools.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.67
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• pp.1-21
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• 2015

U. N. Convention on Contracts for the International Sale of Goods (hereinafter the 'CISG' or the 'Convention') has been in force more than 37 years. The CISG responds to the need for uniform sales law. First of all, the biggest barrier against the uniformity in sales law is so-called "homeward trend". Professor Honnold, who served as secretary of UNCITRAL during the time in which the CISG was developed, pointed out the danger of "homeward trend" like this in his Article. "One threat to international uniformity in interpretation is a natural tendency to read the international text through the lenses of domestic law." CISG Article 79 is the principal provision governing the extent to which a party is exempt from liability for a failure to perform any of his obligations due to an impediment beyond his control. So-called 'Manfred Forberich' decision regarding the article 79 represents the most extreme example of what is likely the most dangerous error that tribunals applying the CISG can make. CISG Article 79 only governs impossibility of performance, and there is a controversy whether a disturbance which does not fully exclude performance, but it considerably more difficult or onerous(hardship, change of circumstances, economic impossibility) can be considered as an impediment. Unlike PICC and PECL, the CISG governs contract of sale. Therefore, events such as a sudden increase in the price of raw materials or a dramatic devaluation of currency, will not allow the seller to avoid his liability for non-delivery of the goods or to require renegotiation of the terms of the contract of sale. We should bear in mind that the CISG should be interpreted and applied in the context of the CISG itself.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2232-2240
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• 2015

Recently in the field of Big Data, there is a trend of collecting and reprocessing the existing data such as products having high interest of customers and past purchase details to be utilized for the analysis of transaction propensity of users(product recommendations, sales forecasts, etc). Studies related to the propensity of previous users has limitations on its range of subjects and investigation timing and difficult to make predictions on detailed products with lack of real-time thus there exists difficult disadvantages of introducing appropriate and quick sales strategy against the trend. This paper utilizes the machine learning algorithm application to analyze the transaction propensity of users. As a result of applying the machine learning algorithm, it has demonstrated that various indicators which can be deduced by detailed product were able to be extracted.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.3
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• pp.121-136
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• 2019

The fashion market is expanding and competition is intensifying due to the contraction of consumption in response to the economic recession and changes in trends. In this study, design characteristics reflecting the brand identity and trend are analyzed as important factors for success. In this study, we will look at the design characteristics of knitwear among SPA brand products and help to plan knit designs. First, six brands were selected based on the sales and the number of stores in domestic and foreign SPA brands. The selected brands include UNIQLO, ZARA, H&M, SPAO, TOPTEN, and 8Seconds. We have selected weft knitting knitwear products(1,736 pieces), which are currently sold in domestic and foreign SPA brands, as silhouette items, knitwear design items, gauges, colors, patterns, images, and items as analysis items to analyze the causes of the differences in the design characteristics of domestic and foreign knitwear. The SPA brand has a wide range of tattoo floors, emphasizing practical aspects, a silhouette that fits the body, and a comfortable daily style. Domestic and foreign SPA brands did not show much difference, but Korean brands had a lower diversity of organization and used color for stable sales, showing a lower concern in trend and strong point color applications. If foreign brands pursue femininity based on a sexy image, Korean brands displayed a difference, emphasizing cute images. As for other design factors, it was found that brand identity was reflected more than domestically. As the cycle of trends becomes shorter, fast fashion is expected to continue in the future, and it is hoped that this research will be used as useful data for design projects of domestic companies.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.349-371
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• 2022

Purpose: Compared to the rapid growth rate of the domestic automotive LED industry so far, the predictive analysis method for demand forecasting or market outlook was insufficient. Accordingly, product characteristics are analyzed through the life trend of LEDs for automotive exterior lamps and the relative strengths of p and q using the Bass model. Also, future demands are predicted. Methods: We used sales data of a leading company in domestic market of automotive LEDs. Considering the autocorrelation error term of this data, parameters m, p, and q were estimated through the modified estimation method of OLS and the NLS(Nonlinear Least Squares) method, and the optimal method was selected by comparing prediction error performance such as RMSE. Future annual demands and cumulative demands were predicted through the growth curve obtained from Bass-NLS model. In addition, various nonlinear growth curve models were applied to the data to compare the Bass-NLS model with potential market demand, and an optimal model was derived. Results: From the analysis, the parameter estimation results by Bass-NLS obtained m=1338.13, p=0.0026, q=0.3003. If the current trend continues, domestic automotive LED market is predicted to reach its maximum peak in 2021 and the maximum demand is $102.23M. Potential market demand was $1338.13M. In the nonlinear growth curve model analysis, the Gompertz model was selected as the optimal model, and the potential market size was $2864.018M. Conclusion: It is expected that the Bass-NLS method will be applied to LED sales data for automotive to find out the characteristics of the relative strength of q/p of products and to be used to predict current demand and future cumulative demand.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.1-7
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• 2017

Korea's domestic construction market and overseas construction order environment are experiencing a decreasing trend, and this trend is expected to continue. Therefore, domestic construction companies are seeking to enter the global construction market. This study analyzes the global construction market and the global competitiveness for global construction companies and provides the results. To this end, this study has developed a model to evaluate the global construction competitiveness level and to evaluated global construction competitiveness in 2016. The evaluation of global construction competitiveness was analyzed based on the competitiveness of construction infrastructure by country, and the evaluation results of competitiveness of construction companies. These assessments were based on 20 detailed international statistics (ENR, Global Insight, Compass, etc.). The evaluation results are as follows. First, in regard to the comprehensive global construction competitiveness by country, America ranked first among 20 countries, followed by China. European countries like Spain, Germany and the Netherlands ranked third to fifth, respectively. Korea ranked sixth, one rank higher than that of the previous year. America and European countries remain strong. Second, in regard to the comprehensive building infrastructure competitiveness by country, America ranked first followed by Germany. Korea ranked twelfth, which is the same rank as that of the previous year. When it comes to stability in the construction market, China ranked first and Korea eighth. For construction systems, Sweden ranked first and Korea thirteenth, and for infrastructure, Japan ranked first and Korea tenth. Third, according to the construction company's capability evaluation by country, America ranked first followed by China. Korea ranked fourth, two ranks higher than that of the previous year because of its building competitiveness (fifth → fourth) and design competitiveness (eleventh → eighth) which has improved. When it comes to building competitiveness, China ranked first and Korea fourth. For design competitiveness, America ranked first and Korea eighth, and for price competitiveness, India ranked first and Korea seventh. However, Korea is still in the middle of the pack rank among the 20 countries considered when it comes to design competitiveness. It is ranked eleventh for design productivity and thirteenth for foreign sales against the total sales (internationalization). Thus, Korea needs to improve technical power and tap into new markets for improved competitiveness, including increased productivity. To do so, more R&D investment is required.