• Journal of the Korea Safety Management & Science
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• v.13 no.4
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• pp.283-290
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• 2011

According to the rapid evolution of information technology, the salesperson's business efficiency and faster information sharing within the enterprise that need to improve competitiveness has been increasing steadily. In general, many companies has been managed the sales through the ERP system. However, the ERP informations as a result of operating activities can not perform customer maintenance activities from strategic planning. Therefore, a series of sales activities information as corporate intellectual assets is needed strategic business solutions for managing it. In this study, the web-based SFA systems were designed for salesperson. Salespersons improve the efficiency of the business through management and improvement activities of sales information. The systematic customer information management contribute to improving the company's revenue through improved customer service satisfaction.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.608-616
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• 2018

The significance of leisure activities is highlighted, and professional baseball games, which featured the 2008 Beijing Olympics gold medal, are very popular. In recent years, along with the revenue from broadcasting, the club has been trying to gain revenue by developing various licensing products and merchandising products. However, sports related products are more advanced than Japanese professional baseball teams in Korea, and there is a lot of revenue from product sales. We want to compare the difference between the two countries sales of their products.

• Culinary science and hospitality research
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• v.15 no.2
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• pp.231-242
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• 2009

One of the most crucial information at the hotel banquet is revenue data. Revenue forecast enables cost reduction, increases staffing efficiency, and provides information that helps maximizing competitive advantages in unforeseen environment. This research forecasts the hotel banquet revenue by utilizing ARIMA Model which was assessed as the appropriate forecast model for international researches. The data used for this research was based on the monthly banquet revenue data of G hotel at Seoul. The analysis results showed that SARIMA(2, 1, 3)(0, 1, 1) was finally presumed. This research implied that the ARIMA model, which was assessed as the appropriate forecast model, was applied for analyzing the monthly hotel banquet revenue data. Additionally, the research provides beneficial information with which hotel banquet professionals can utilize as a reference.

• Journal of Distribution Science
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• v.15 no.8
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• pp.5-14
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• 2017

Purpose - This study empirically analyses the sale changes in large retail stores directly resulting from increased controls on those stores. More specifically, we discuss the economic impacts on Korean regulations that restrict trading hours and mandate statutory store closure 'holidays' twice per month. Research design, data and methodology - we attempt to empirically analyse the economic effects of trading hours regulations through quantitative analysis of the sales revenue data of large retail stores. We introduce the data and methods of empirical analysis used to analyse the economic effects of trading-hour regulations on large retail stores. We use a panel regression to analyse the sales losses of large retail stores caused by the new constraints on business hours. Results - The results of this study show that the sales of large retail stores fell by the average of 3.4% per month during the regulation periods. However, regulations affecting large retail stores have various economic impacts, including variations in sales, changes in consumption patterns, and influences on consumer welfare and national economy. Conclusions - Such changes may also be captured by other metrics: accordingly, further researches are needed to measure the impact of regulations on economic indicators such as employment and GDP.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.155-165
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• 2018

In this paper, We conducted to find out what factors may affect the development of franchise businesses by reviewing the success factors of the domestic franchise business. The research was conducted by the CEOs of Gwangju and Jeonnam Franchise Business and a total of 137 items were used in the empirical analysis. Factors influencing success of the franchise business were designed in five areas : ability of the franchise CEO, franchise system, brand management, capacity of the parent store, and product differentiation. We conducted multiple regression analysis and simple regression analysis for the research assumptions, Validation of the relationship between variables revealed that the ability of the franchise CEOs, franchise systems, brand management, and product differentiation did not significantly affect the increase in member sales, so the ability of the shareholders to increase their sales was important. However, the impact on revenue growth at franchise headquarters has all been significant, The increase in sales of franchises has a significant influence on the increase in profits of franchise headquarters, the report said. It was also found that an increase in the sales of franchises has a significant influence on the success of franchises. Finally, it was revealed that increasing profits at franchise headquarters significantly affects the success of the franchise business.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.432-445
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• 2019

Since industry and technology are being developed through interactions, intellectual property (IP), which are used as a substitute for technology, are found to have a close relationship with industry. The current status of IP and the business revenue differences of enterprises of south Korea are analyzed in the disaster-safety industry. Only 2.66% out of 49,538 firms have IP, indicating that most companies do not have IP. The difference in sales due to the ownership of IP is not statistically significant in middle-standing enterprises, but that of medium and small-sized enterprises (SMEs) is statistically significant. It is also found that 17 Divisions, which have IP, out of 21 Divisions in the Disaster-Safety Industry Special Classification of Korea have higher business revenue, and 10 Divisions of those 17 Divisions indicate statistical significance. In conclusion, the ownership of IP is one of the factors affecting the difference in business revenue for SMEs in Korea, implying that it is important to focus on creating and securing IP.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.337-343
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• 2021

This study researched the user experience of the monthly magazine subscription service, focusing on design students and designers. The revenue of magazine industry has been declined since 2012 and some magazines stop publishing or cease to publish. That is why this studied the user experience of magazine subscription services of monthly to increase magazine sales revenue, the largest portion of whole revenue. A survey and in-depth interviews with subscribers and non-subscribers was conducted to suggest improvements for the monthly . Since this study focused on user experience of magazine subscription, it could be a future reference for studying magazine subscription service.

• Journal of Distribution Science
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• v.10 no.12
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• pp.5-11
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• 2012

Purpose - This paper proposes measurement models to evaluate the management performance of small and medium-sized retail businesses on the basis of a trading area analysis that compares their proposed revenue to actual revenue in the trading area. Research design, data, methodology - The study proposes measurement models consisting of five stages, namely: (1) district background survey, (2) customer survey, (3) competitor survey, (4) business district survey, and (5) business performance analysis. Results - To identify business districts easily, this study preferred a minor-adjusted method based on the Euclidean distance, as it is simple to employ for the small and medium-sized businesses. This model was applied to select coffee shops in Daejeon. Results indicated that although the targeted shop was not located in an appropriate location, actual sales were higher than expected. Conclusions - Small- or medium-sized retail businesses face difficulties regarding the economies of scale and brand recognition and must choose an appropriate location to ensure management stability. However, such businesses will find it difficult to evaluate their competitive edge accurately using a trading area analysis.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.661-663
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• 2003

Electric generation cost in district Heating CHP system has close relationship with the level of heating price. So far, the calculation of CHP generation cost has been based on cost recovery system in which revenue requirement deducted the revenue from heating-sales. The restructuring of electricity industry determines the market-clearing price every hour and made it impossible that the loss due to the above market cost can be attributed to the generation cost. Hence, the loss is compensated by energy subsidy program in public benefit charge. This analysis derives an efficient action plan for future subsidy program.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.904-913
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• 2005

This paper deals with an integrated problem of inventory control and dynamic pricing strategies for a commodity with price and sales-period dependent demand pattern, where a seller and customers have complete information of each other. The problem consists of two parts; one is each buyer's benefit problem which makes the best decision on price and time for buyer to purchase items, and the other one is a seller's profit problem which decides an optimal sales strategy concerned with inventory control and discount schedule. The seller's profit function consists of sales revenue and inventory holding cost functions. The two parts are closely related into each other with some related variables, so that any existing general solution methods can not be applied. Therefore, a simplified model with single seller and two customers in considered first, where demand for multiple units is allowed to each customer within a time limit. Therewith, the model is generalized for a n-customer-classes problem. To solve the proposed n-customer-set problem, a dynamic programming algorithm is derived. In the proposed dynamic programming algorithm, an intermediate profit function is used, which is computed in case of a fixed initial inventory level and then adjusted in searching for an optimal inventory level. This leads to an optimal sales strategy for a seller, which can derive an optimal decision on both an initial inventory level and a discount schedule, in $O(n^2)$ time. This result can be used for some extended problems with a small customer set and a short selling period, including sales strategy for department stores, Dutch auction for items with heavy holding cost, open tender of materials, quantity-limited sales, and cooperative buying in the on/off markets.