• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.155-167
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• 2024

Distribution and logistics industries contribute some of the biggest GDP(gross domestic product) in South Korea and the number of related companies are quarter of the total number of industries in the country. The number of retail tech companies are quickly increased due to the acceleration of the online and untact shopping trend. Furthermore, major distribution and logistics companies try to achieve integrated data management with the fulfillment process. In contrast, small and medium distribution companies still lack of the capacity and ability to develop digital innovation and smartization. Therefore, in this paper, a deep learning-based demand forecasting & recommendation model is proposed to improve business competitiveness. The proposed model is developed based on real sales transaction data to predict future demand for each product. The proposed model consists of six deep learning models, which are MLP(multi-layers perception), CNN(convolution neural network), RNN(recurrent neural network), LSTM(long short term memory), Conv1D-BiLSTM(convolution-long short term memory) for demand forecasting and collaborative filtering for the recommendation. Each model provides the best prediction result for each product and recommendation model can recommend best sales product among companies own sales list as well as competitor's item list. The proposed demand forecasting model is expected to improve the competitiveness of the small and medium-sized distribution and logistics industry.

• Korean Journal of Agricultural Science
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• v.50 no.3
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• pp.449-458
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• 2023

Plant-based, grain-free, and gluten-free diets have been the focus of recent research, as part of the premiumization trend in dog food. However, the lack of comprehensive information regarding carbohydrates in dog food makes it difficult to produce nutritionally balanced meals. Therefore, we aimed to evaluate the nutritional value of carbohydrate ingredients commonly used in commercial dog foods. First, using data from Euromonitor, we investigated the trends in the dry dog food industry and analyzed the annual volume of dry dog food sales, as well as the dog population from 2010 to 2021 in Korea. The growth of the market was greatest in 2021, when the total value of sales of premium dry dog food was 254.3 billion KRW (Korean won) more than in 2010. In addition, sales of dry dog food by age category were marked by a significant increase (404.8%) in the market for dry food for senior dogs. Second, we examined the frequency of carbohydrate ingredients used in dry dog food and conducted a proximate analysis of the top 10 most frequently used ingredients. Subsequently, we analyzed the crude protein, crude fat, and nitrogen-free extract in the carbohydrate ingredients based on dry matter (DM) and calculated the ratio of metabolic energy content supplied from each nutrient in the carbohydrate ingredients. The ratio of metabolic energy content in the carbohydrate ingredients indicated that mung beans had the highest crude protein content (31.3%), whereas oats exhibited the highest crude fat content (23.3%). Sweet potatoes had the highest nitrogen-free extract content, measuring at 93.6%. The results of this study are expected to provide a valuable foundation for the growth and development of the domestic dog food industry, while also contributing to a deeper understanding of the specific role of each ingredient as a carbohydrate source.

• Journal of the Korea Safety Management & Science
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• v.21 no.4
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• pp.75-80
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• 2019

Sales of the Korean clothing industry grew to 16.9 percent on-year in 2010, but the growth rate dropped to 3 percent from 2011 to 2016 and the overall market began to slump to 1.1.6 percent in 2017. The competitiveness of clothing companies is also a major sector in logistics capability, and the average logistics cost of domestic clothing companies is 8.3 percent of sales in 2011, higher than the average 8 percent of domestic industries, and 36.4 percent of the total storage cost in 2011, higher than the 28.8 percent share of the total storage cost of domestic companies. As domestic production conditions such as wage hikes and labor disputes worsened in the 1990s, production facilities were rapidly moved overseas, which led many clothing companies to have no production facilities or a minimal production base in Korea and focus on marketing and design capabilities. The total storage capacity and storage efficiency of the logistics center became very important as the products were changed to the form of mass warehousing and small-volume forwarding. Research shows that building column spacing, a model of this research, can affect the amount of hanger rack storage empirically, so for sustainable growth of clothing companies, it is necessary to improve competitiveness in the logistics market by reducing costs and improving efficiency to overcome difficulties in corporate management. Because logistics costs are 8.3 percent and operating profit to sales ratio is 2 percent, it is expected that operating profit will increase by 41.5 percent if logistics costs are reduced by 10 percent. If 10% of storage cost is saved based on storage cost, operating profit is expected to increase by 15% To strengthen the competitiveness of the clothing industry, a reduction in logistics costs is essential. Therefore, the purpose of this study is to provide hints that logistics experts can have empirically small amounts in reducing storage costs through column spacing adjustment of logistics centers that have not been dealt with statistically until now, and to contribute to the continued growth of clothing companies and the development of the domestic logistics industry.

• Journal of Distribution Science
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• v.14 no.9
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• pp.95-110
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• 2016

Purpose - Based on expectation-disconfirmation theory, this study attempted to fill the gap in the literature by treating the expected profitability as a moderator in the relationship between these constructs, identifying what instrumental factors have effects on dissatisfaction, in turn lead to exit intention, neglect, voice, and loyalty, and provide the managerial implications for building long-term relationship to enhance the partnership between franchisor and franchisee. Research design, data and methodology - In order to test the hypotheses, the authors developed several hypotheses. The data were collected from 254 franchisees in Seoul and Gyeonggi Province with SPSS 18.0 and SmartPLS 2.0. Results - The findings of the study are as follows. First, marketing support and competitiveness of product and service had a negative effect on dissatisfaction, but did not on logistics support. Second, franchisee dissatisfaction had a positive effect on exit intention and neglect, and had a negative effect on loyalty. However, franchisee dissatisfaction had not a significant effect on voice. Third, expected profits play a moderating role in the relationships between marketing support, competitiveness of product and service and dissatisfaction, between dissatisfaction and exit intention, voice, loyalty, and neglect. First, marketing support and competitiveness of product and service were found to have a greater influence on dissatisfaction for the low expected profitability group than the highly expected profitability group. Also, dissatisfaction had a greater impact on exit intention, voice, and neglect for the low expected profitability group than the high expected profitability group while dissatisfaction had a weaker impact on loyalty for high expected profitability group. Conclusions - The result of this study indicates that franchisors should reduce dissatisfaction and prevent or improve complaint behaviors by continuously identifying the impact relationship between franchisee dissatisfaction and decision factors caused by difference in expectations for roles of franchisees and franchisors. In addition, franchisors should acknowledge that the impacts of marketing support, and product and service competitiveness on franchisee dissatisfaction and on exit intention, neglect, and loyalty differ by expected profits. Therefore they should provide support in perceiving high expected profits through creating direct profits including high sales, low costs, and low rents.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.212-229
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• 2020

'Live + Sale' is actively promoted in China and 'Wang-Hong', also known as Chinese internet celebrities are dominating this format of marketing strategy recently. They introduce products to consumers through live broadcasts, promote online shopping, and frequently evoke impulsive buying. Under this context, it is worth focusing on what factors influence impulse buying during Wang-Hong's live broadcast. This study investigated the impact of Wang-Hong characteristics on impulse buying behavior when watching live sales. Also, the mediating role of flow experience and viewing satisfaction was explored. Furthermore, we expected that the different live broadcast circumstances could have a different impact on flow experience, viewing satisfaction, and impulse purchase. A total of 242 Chinese women who have experience of viewing live sales were recruited through a Chinese research platform. The results revealed that Wang-Hong's trustworthiness and attractiveness positively affected the viewer's impulse buying directly, and indirectly through flow experience and viewing satisfaction, whereas expertise did not have any impact on impulse purchase. However, there were no significant differences between the two live broadcast circumstances. This research can enhance understanding of the impulse buying process during Wang-Hong's live sale and help brands come up with effective influencer marketing strategies using live sales.

• Journal of Distribution Science
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• v.16 no.7
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• pp.77-86
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• 2018

Purpose - In the insurance distribution channel, the salespeople plays a role of representing the company, and recognizes the needs of the customers and plays a role in responding to them. Therefore, their turnover can have a great influence on the company performance. The purpose of this study is to investigate the structural relationship between salespeople's personal - environmental fit and organizational commitment and turnover intention. Research design, data, and methodology - Data collection was conducted a self-filling questionnaire for salespeople for about one month from July 24, 2017 to August 30, 2017. The subjects of the questionnaire were the insurance salespeople who work in the sales line such as K life, S fire. A total of 450 copies were distributed and 432 copies of the questionnaire were used for final analysis. The analysis program used SPSS 22.0 and AMOS 22.0 programs. Analysis method was Frequency Analysis, Reliability & Confirmatory Factor Analysis, Correlation Analysis and Structural Equation Model(SEM). Results - As a result of Hypothesis 1, Person-Supervisor Fit had significant influence only on Continuance Commitment. Person-Job Fit did not have a significant effect on Organizational Commitment. Person-Coworker Fit had a significant effect on Continuance Commitment and Affective Commitment. Person-Organization Fit had a significant impact on Affective Commitment. Therefore, only , , , , were adopted. As a result of Hypothesis 2, Continuance Commitment had a significant effect on turnover intention. Therefore, only was adopted. Conclusions - This study suggests that it is necessary to manage the human resources in the sales field through studies related to salespeople's extension of the research scope and salespeople's turnover intention. Based on the results of this study, the conclusion suggests some implications for the efficient human resources management of insurance companies in sales channels. It is expected that it will be helpful for the salespeople to find out what kind of Person-Environment Fit affects the organizational commitment and how to manage the organizational commitment among the three dimensions of organizational commitment to reduce turnover intention.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.157-165
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• 2018

Companies conduct R&D for continuous development and enhancement of corporate value, and obtain patents as an intangible asset resulting from this process. This study screened 103 medical device firms whose R&D information, patent information, and management performance information were all published to determine how R&D activities and patents affect corporate operational performance. The number of patents, R&D costs, company type and Inno-Biz of the company were set as independent variables, and the companies' sales, intangible assets, operating profit ratios, net profit margins, corporate ratings and profit-related financial ratios were used as dependent variables. The results confirmed that R&D expenditure had negative (-) effects on most indicators, including sales volume, operating profit ratio, and net profit ratio, while it had positive (+) [ED highlight - these are unnecessary if negative and positive are also written out.] effects only on intangible assets. Additionally, domestic patents were found to have negative (-) effects on sales, cash flow ratings, and dropped capital return, and positive (+) effects on net profit growth. Moreover, the business performance variables affected by the company characteristics were sales volume and cash flow ratings. The medical device industry is dominated by small and medium-sized businesses Although research and development activities and patents have been shown to have a negative impact on corporate management in the short term, they are expected to have a positive long-term impact when reflecting the characteristics of the medical device industry that must undergo clinical trials and authorization procedures after R&D.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.6
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• pp.611-620
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• 2018

With the revitalization of alley market area becoming a major goal of the urban regeneration project, an understanding on customer characteristics that affect the sales of alley market areas is needed. As spatial heterogeneity appears to exist in alley market areas, the use of GWR (Geographically Weighted Regression) is required as an alternative to OLS (Ordinary Least Squares) regression. This study analyzes effects of customer characteristics on sales of 1007 alley market areas in Seoul. Comparing R squared and AICc, results show that GWR is better than OLS regression. According to OLS regression, the ratio of female, the ratio of 40's and 50's, the number of employees, the opening rate of establishment, the density of building and the size of alley market area have positive effects on sales, while the ratio of 20's and 30's, the distance of bus stop and that of subway station have negative effects. As a result of comparing local regression coefficients of geographically weighted regression analysis, the ratio of female customers has the greatest effect on the northwestern region, followed by the southwestern region, the central region and the northeastern region. The ratio of 20's and 30's and that of 40's and 50's effect on the southeastern and northeastern regions, and then the southwestern region. It is expected that this study will help to identify marketing target for each alley market area.

• Journal of Korea Trade
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• v.26 no.5
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• pp.23-38
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• 2022

Purpose - This research intends to find out whether R&D cost stickiness shows differentiated aspects depending on exports in Korea. A cost behavior that indicates a lower rate of costs decrease when sales decrease than the rate of costs increase when sales increase is called cost stickiness. This sticky cost behavior is caused by considering the adjusting costs. This study aims to empirically verify that R&D cost stickiness is greater in export firms than in non-export firms. We also investigate the effect of exports on R&D cost stickiness is nonlinear. Design/methodology - We obtain data for the analysis from Kis-Value and TS2000 from 2012 to 2020. This study tests for R&D cost stickiness of exports using the cost stickiness model developed by Anderson et al. (2003) that is used in a lot of prior literature. To explore the nonlinear behavior of R&D cost stickiness we include a quadratic term of exports in our model. Findings - The results of our analysis are as follows. First, we observed that R&D costs of export firms are more sticky than that of non-export firms. Our result indicated that export firms are less likely to reduce R&D costs in decreasing sales periods in preparation for future sales recovery. Second, our empirical evidence shows that export firms view R&D costs much favorably. However, we hypothesize that the effect of export intensity on R&D costs may not necessarily be linear. Our result shows the effect of exports intensity on R&D stickiness is thus nonlinear, forming a reverse U-shaped curve. When export intensity exceeds a certain threshold, the growth rate of R&D costs appears to be viewed negatively. Firms with relatively high export intensity do not support R&D costs, viewing them as taking away firms' resources from other more productive costs. On the contrary, those with export intensity under the threshold view R&D costs as beneficial and therefore promote further R&D costs when revenue decreases. Originality/value - The results of this research can contribute academically to the expansion of empirical research on R&D cost stickiness. R&D cost stickiness varies by industry. As a result of our research, the managers of export firms recognize the importance of R&D to lead innovation. We expected that this research contributes to further studies on R&D costs and cost stickiness. Second, this research has implications from a business perspectives. Our findings of export firms' R&D stickiness suggest that export firms' managers should consider keeping the stickiness of R&D when revenue decreases because it is essential for exporting firms to maintain their R&D stickiness to secure long-term competitiveness. R&D stickiness can be used on a practical basis to emphasize the need for continuous investment in exporting firms' R&D activities.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.117-132
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• 2023

With the recent spread of COVID-19, the size of the online shopping market continues to increase, and various online platforms are appearing in the market, and many small and medium businesses are entering the platform. As the recent increase in the use of the platform by small andmedium businesses as raised the issue of appropriate platform fees, the need for social discussions on the use of the platform and fees is raised. Currently, most discussions regarding fees primarily focus on specific cases from a negative perspective, and discussions that comprehensively consider the platform's utilization value and fees are insufficient. Therefore, this study aims to systematically and comprehensively understand platform fees by considering the value of using platform services and commission costs together. To achieve this, the economic value of each platform service was estimated and analyzed in detail. It selected two industries that are actively using online platforms, delivery services and e-commerce, and paid attention to changes in expected profits generated by sellers using platform services, and compared and analyzed expected profits based on estimated sales and costs for each scenario, such as whether sellers entered the platform and whether they used the service. As a result of the study, our results that entering the platform and using the platform service enable sales increase and cost reduction, which have a positive effect on the seller's expected profit. Through this study, we intend to understand platform fees from the perspective of user fees for platform service use and value acquisition, and based on this, estimate the economic value of platform services and fees to expand the value and cost of using platform services to a comprehensive and systematic discussion.