• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.125-135
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• 2022

This study aims to explore variables using machine learning and provide analysis techniques suitable for predicting pharmacy sales whether government statistical indicators built to create an industrial ecosystem based on data, network, and artificial intelligence affect pharmacy sales. Therefore, this study explored predictive variables and performance through machine learning techniques such as Random Forest, XGBoost, LightGBM, and CatBoost using analysis data from January 2016 to December 2021 for 28 government statistical indicators and pharmacies in the retail sector. As a result of the analysis, economic sentiment index, economic accompanying index circulation change, and consumer sentiment index, which are economic indicators, were found to be important variables affecting pharmacy sales. As a result of examining the indicators MAE, MSE, and RMSE for regression performance, random forests showed the best performance than XGBoost, LightGBM, and CatBoost. Therefore, this study presented variables and optimal machine learning techniques that affect pharmacy sales based on machine learning results, and proposed several implications and follow-up studies.

• Asian Journal of Business Environment
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• v.14 no.3
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• pp.1-11
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• 2024

Purpose: This study analyzes the impact of weather conditions, holidays, and sporting events on beer sales, providing insights for market strategy and inventory management in the beer industry. Research design, data and methodology: Beer types were classified into Lagers and Ales, with further subcategories. The study utilized weekly retail sales data from January 2018 to August 2020, provided by Nielsen Korea. An ARMAX model was employed for time-series analysis. Results: The analysis revealed that increasing temperatures positively influence sales of Pilsners and Pale Lagers. Conversely, higher precipitation levels negatively affect overall Lager sales. Among Ales, only Stout sales showed a significant decrease with increased rainfall. Sunshine duration did not significantly impact sales for any beer type. Humidity generally had little effect on beer sales, with the exception of Amber Lagers, which showed sensitivity to humidity changes. Holidays and sporting events were found to significantly boost sales across most beer types, although the specific impacts varied by beer category. Conclusions: This study offers a detailed analysis of how weather conditions and specific events influence different beer type sales. The findings provide valuable insights for breweries, beer processors, and retailers to optimize their market strategies and inventory management based on weather forecasts and seasonal events. By understanding the consumption patterns of each beer type in relation to environmental factors, businesses can better anticipate demand fluctuations and tailor their operations accordingly.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.171-177
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• 2021

Through the rapid developments in machine learning, there have been diverse utilization approaches not only in industrial fields but also in daily life. Implementations of machine learning on financial data, also have been of interest. Herein, we employ machine learning algorithms to store sales data and present future applications for fintech enterprises. We utilize diverse missing data processing methods to handle missing data and apply gradient boosting machine learning algorithms; XGBoost, LightGBM, CatBoost to predict the future revenue of individual stores. As a result, we found that using median imputation onto missing data with the appliance of the xgboost algorithm has the best accuracy. By employing the proposed method, fintech enterprises and customers can attain benefits. Stores can benefit by receiving financial assistance beforehand from fintech companies, while these corporations can benefit by offering financial support to these stores with low risk.

• KDI Journal of Economic Policy
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• v.43 no.2
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• pp.103-123
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• 2021

This paper examines the impact of the regional cash subsidies which were granted in some districts in addition to the national universal stimulus payment in South Korea related to the COVID-19 pandemic. We evaluate the effects of the cash distribution per resident on aggregate credit and debit card sales and sales by industry using the difference-in-difference method. The increment in card spending due to the cash subsidy is about 1.58%p in total, and this effect is concentrated within a single month. The consumption stimulating effect is prominent among (semi)-durable goods that do not require close interactions between customers and sellers. In contrast, the effect is relatively small in the high-contact face-to-face service sectors and restaurants, areas the COVID-19 pandemic hit directly. On the other hand, some service sectors where customers could wear face masks, such as education and fitness, experienced a substantial sales boost due to the cash subsidy.

• Journal of Korea Trade
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• v.27 no.4
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• pp.45-60
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• 2023

Purpose - This research focused on women who enjoy watching Korean dramas and K-pop, as well as how their desire to imitate are influenced by their viewing habits. Due to the influence of their idols, women who aspire to copy and are influenced by their idols will desire to purchase Korean products. This cultural export strategy has effectively persuaded the global community, particularly women. Indonesia with a large population can be a reference for the industry to increase sales of South Korean beauty products, especially in the ASEAN region. Design/methodology - This research used a quantitative approach with an online questionnaire. This questionnaire had two steps: the pre-questionnaire and the questionnaire itself. The different measuring tools that were already in use when the data were being collected helped to determine how much each variable meant. As a part of this research project, 410 Indonesian women filled out the questionnaire in order to share their thoughts as they were the focus of the study. SMART PLS was used to analyze the data. Findings - One of the most essential findings from establishing the Korean Wave effect on purchase intention was the imitation intention variable. Someone who has the aspiration to be just like their idol will be willing to give anything in order to achieve that goal. One strategy is to buy things that are similar to the ones you want to imitate in order to stimulate demand for Korean products. People's imitation intention and attitude toward Korean products will increase as a result of Korean drama and K-pop elements that display one's idols with fashionable appearances and good-looking faces, which will lead to purchase intentions. Originality/value - The Korean Wave has had a beneficial impact on the intention to imitate and the attitude toward Korean items, both of which will favorably boost the intention to acquire Korean goods. In order to boost sales in international markets, particularly in Indonesia, the Korean business sector needs to increase the number of artists and singers it employs for product promotion. . Mutualism effect between the government, the entertainment industry, and the beauty product industry to increase sales of South Korean beauty products.

• Journal of Distribution Science
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• v.11 no.9
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• pp.31-34
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• 2013

Purpose - This paper aims to explain that the Chinese distribution market will continue to bring tremendous business opportunities to commercial enterprises, given the relatively strong economic fundamentals and substantial government-led measures to boost domestic demand. Research design, data, methodology - A survey was conducted on China's retail market data during 2012. By empirically analyzing the data for retail sales of online markets and franchises, we conclude that the online retail market in China will continue to grow. Results - Based on data from 2012, 2013 is expected to be a challenging year for the retail sector, as both external and internal pressure is likely to persist. This paper outlines some major challenges facing retailers in China. Conclusions - The study shows that retailers in the Chinese market will face some major challenges: 1) the Chinese retail market is considerably affected by an uncertain economic outlook 2) an unfair environment of competition exists and 3) product safety is a serious issue. However, in the future, China's retail market will continue to bring tremendous business opportunities to commercial enterprises, given the relatively strong economic fundamentals and substantial government-led measures to boost domestic demand.

• Journal of Forest and Environmental Science
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• v.36 no.2
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• pp.156-162
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• 2020

This study was conducted to analyze the current management status of green tea processors in two regions (Hadong-gun and Boseong-gun) in Korea and to suggest directions for the development of the green tea industry based on an understanding their difficulties in management. This study showed that the number of green tea farms and the cultivation area had decreased, while the average unit sales price of green tea in Boseong-gun was approximately three times higher than that in Hadong-gun. Also, this study found that Hadong-gun mainly provided green tea products to wholesalers, whereas Boseong-gun sold it directly to the local retail stores targeting tourists, and this results in generating relatively higher unit prices. Meanwhile, we discovered that both regions had difficulties in management which were caused by the demand for low delivery unit costs from large corporations and small food companies. Therefore, in order to develop the green tea industry in both regions, the size of green tea fields and the scenery satisfaction should be improved to draw more tourists and boost tourists' intention to revisit. In addition, it is necessary to enhance guidance and accessibility of related tourist sites, to expand green tea experience activities, and to improve product satisfaction by developing various goods. By inducing more tourists in these ways, it could change the sales type of green tea from wholesale to retail and help activate the management of green tea processors.

• Korea Trade Review
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• v.41 no.3
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• pp.43-62
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• 2016

As global online business expands, direct overseas sales, where company directly sells products to foreign consumers, has become a new trend. The purpose of this study is to find out the characteristics of B2C Korean online exporters. This study analyzes export companies, 45,267 doing offline business and 205 online, and the two findings drawn from the study are as follows: First, B2C online exporters shipped 4-5 times more products to 10-13 times more countries than offline exporters. It also showed higher rate of export persistency. Second, from using gravity model analysis, it was found that export through online sales removes distance barrier by 60% more than offline. In addition, Free Trade Agreement appears to help boost online overseas sales. This study has significance in that it is the first analysis on B2C online export using actual proof, and it can be differentiated by other researches in terms of identifying the traits of Korean online export.

• Journal of Information Technology Services
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• v.4 no.1
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• pp.1-13
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• 2005

Many buying and selling companies have participated in B2B electronic commerce in order to boost sales and cut down purchase prices respectively. There are some studies on buying and selling companies performances of using B2B e-marketplaces which provide electronic B2B transaction services such as finding transaction partners, providing on-line transaction process like auctioneering, etc. This study investigates the critical failure factors against B2B e-marketplace in other words B2B market-maker or B2B intermediary. We proposed 4 hypotheses asserting that 4 critical failure factors make reverse effects on B2B intermediary performances. We adopt the Balanced Score Card (BSC) framework to evaluate B2B intermediary performance. Data were collected from 46 respondents of B2B intermediaries in Korea. Analyses showed that traditional off-line B2B practices like refunding to buyer or transactions without legal documents and low quality of product information and catalog are critical failure factors against B2B intermediary performance.

• STI Policy Review
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• v.3 no.2
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• pp.111-129
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• 2012

The integration of products and services is being expanded in both manufacturing and service companies such as in Apple's iPod & iTunes, Amazon's Kindle, and Hyundai Motor Company's Mozen. This phenomenon has recently accelerated due to multiple factors including market change, lessening of differences in quality of products or services, the paradigm of participation and sharing, and deindustrialization and evolution toward becoming a service economy. The objective of this paper is to investigate and analyze the status and characteristics of integration of products and services in Korean firms and to suggest policy directions promoting this integration. Towards this purpose, income statements from the Korea Listed Companies Association (KLCA) database of companies listed on the Korea Stock Exchange are analyzed regarding the servitization of manufacturing firms as well as the productization of service firms. In addition, this research investigates the Korean Innovation Survey 2011 database for the service sector and 2010 database for the manufacturing sector in order to evaluate R&D activity in each. In the manufacturing sector, the average ratio of service sales (servitization) was low at 0.208, with bias in the level and distribution of ratios associated with the manufacturing sector. 18 out of a total of 23 sectors (78%) have low servitization, showing there's a long way to go for servitization in the Korean manufacturing sector. In the service sector, the average ratio of product sales (productization) was 9.53%, which is relatively high compared to that of the manufacturing sector. However, the distribution of ratios is also biased, as with the manufacturing sector. Based on this analysis, policy directions are proposed in terms of 1) R&D, 2) concept boost, 3) R&D result spread, 4) statistics, 5) infrastructure and 6) green growth.