• 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.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.7-13
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• 2019

As online shopping is activated by the development of the Internet, consumers' purchase form is changing from the traditional face-to-face purchase method to online purchase method. Many sellers have flowed into shopping malls, and competition among sellers is very intense. Therefore, sellers in shopping malls need to establish rational marketing strategies by analyzing consumer purchase patterns and product sales trends. In this paper, we analyzed the purchase price of consumers by analyzing the product price, rating, and sales quantity of competitors who sell the same product in open shopping malls by time zone. In addition, the collected information was visualized in a chart so that the company's and competitors' sales trends could be easily compared. Using the above system, it is possible to predict the sales volume through the analyzed purchasing pattern and to select the reasonable price of the product by grasping the sales trend.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.209-214
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• 2014

Despite the recession of the global market, the domestic electronic appliance companies dominated TV market in North America. They took both the premium and mid-priced product market and achieved both profitability and volume due to strong product competitiveness and brand power. Despite doing well in the North American market, the domestic TV manufacturers are worried about product development, marketing and sales strategies to remain the continuous competitiveness in the TV market. This study proposes the a sales prediction model of electronic appliances using sales data of S company from the North American market. We develop the sales prediction models based on multiple regression analysis and artificial neural network and compare two models. Especially, this study analyzes the relevance between the TV sales and TV main features in order to improve the price competitiveness or improve the value of TV products.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.445-456
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• 2021

The purpose of this study is to identify the importance of variables affecting women's golf wear sales with macroeconomic variables and consumer selling prices that affect consumers' purchasing behavior, and to propose a price strategy to increase sales of golf wear. Data of domestic women's golf wear brands were analyzed using decision tree algorithms and ensemble. Consumer selling price is the most significant factors in terms of sales volume for T-shirt, pants and knit, while categories were found to be the most important factors in addition to consumer sales prices for skirt and one piece dress. These findings suggest that items have different economic variables that affect consumers' purchasing behavior, suggesting that sales and profits can be maximized through appropriate price strategies.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.454-471
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• 2008

This study suggests the dynamic pricing model which reveals the organic relationship between ASP (Application Service Provider) price and the related factors, using system dynamics methodology. Basically, we applied the law of supply and demand for analyzing price changes. Then, we deducted ASP price, focusing on fixed cost and variable cost. We also researched the customer's buying behavior according to version differentiation policy. In the version policy, we set up the proposition about customer's satisfaction and willingness-to-pay, using option system. As a result, this research designed the simulation model which analyzes the changes of the sales according to version differentiations and customer's willingness-to-pay. Through this research, we can find effective version differentiation strategies. This paper also found that the larger the number of package, the greater the demand and customer's willingness-to-pay. The increase of the number of package causes the increase of the sales. The increase of the sale is not exactly relative to the number of package. Drawing S-curve, the sales was increased. This dynamic pricing model suggests the ground that the ASP price changes based on the existing version differentiation theory and the demand of customers can affect the changes of the sales. We expect that this model suggests a clear standard of ASP pricing by combining real cases.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.417-438
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• 2016

The choice of SMEs between standardization and R&D is one of the strategies of building capabilities for achieving competitive advantages under the liabilities of newness and smallness. This paper provides empirical evidence of Korean SMEs choice between standardization and R&D. We hypothesize two possible impacts of standardization intensity on sales performance; a positive linear and a U-shaped relationship. The analysis of data on 821 Korean SMEs from information and technology, and electricity and electronics industries in 2013 shows an U-shaped relationship between relative standardization intensity over R&D and sales performance.

• The Journal of Asian Finance, Economics and Business
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• v.3 no.4
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• pp.25-37
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• 2016

This study aims to investigate the determinants of dividend payout of Oil and Gas industry of Pakistan using secondary data from published annual reports from 2008 to 2014 listed on KSE (Karachi Stock Exchange). Dividend payout can be affected by profitability, firm size, financial leverage, sales growth, investment opportunities, liquidity, business risk, and ownership structure. Panel data technique used due to panel characteristics of available data with ordinary least square regression model to find out the impact of set of explanatory variables on the dividend payout using the Stata. Financial leverage, sales growth and business risks are the most significant variables of the study where financial leverage and business risk have significant negative effect on dividend payout while sales growth has favorable positive impact on dividend payout. Results revealed significant positive link of profitability and firm size with dividend payout whereas government ownership is negatively associated with dividend payout. Investment opportunities, liquidity and managerial ownership showed insignificant relationship with dividend payout. This Suggests that dividend payout policy is dependent on business strategies including both investment and financing decisions. Financial managers should consider these factors while formulating dividend policy of the firm.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.729-740
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• 2008

The purposes of this study are to identify service quality elements using Kano's theory, and to examine differences in service quality characteristics among apparel store types. Women over 20 years-old from metropolitan areas in South Korea participated in the study and a quota sampling method was used. The questionnaire was composed of three sections; importance of quality, degree of satisfaction, and demographic factors. Data from 525 questionnaires were used for the statistical analysis. The results were as follows: First, four factors of service quality(sales person, variety of goods, policy, and facilities) were identified. According to Kano's quality elements, sales person was categorized into both one-dimensional quality and must-be quality, and variety of goods, policy, and facilities categorized into attractive quality. Second, sales person, in all store types, was included in one-dimension quality elements and sales person and variety of goods, in local store, were included in attractive quality element. Service policy, in chain store and local store, was included in attractive quality element. Findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in the store service strategies.

• Journal of Families and Better Life
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• v.20 no.6
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• pp.109-120
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• 2002

The purpose of this study is to investigate the level of role stress perceived by employed housewives working in sales departments, and further, to devise coping strategies that can help reduce stress resulting from their multiple roles The sample of this study consisted of married women who were working in sales departments, who have at least one child, and who live in the greater Seoul metropolitan area. A total of 343 out of 450 originally distributed questionnaires were used for the analysis in this study. The findings of the study are: 1 The housewives in sales departments felt stress most severely in their role as a mother. Next were the roles as a wife, housewife, daughter, daughter-in-law, and working woman, in that order. 2. It appeared that age and the motive for employment affected the overall level of role stress among housewives. The two variables (age and the motive for employment) explained about 23% of the variance. The younger they were the higher was the level of role stress. Also, if they were working for an economic reason (to support the family), they tended to be more stressed out. The results of this study could be utilized as baseline data for policy-making, consultation, and development of educational programs for housewives working in sales departments, an area that has hardly been explored.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.5
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• pp.649-665
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• 2019

This study presents a conceptual framework for the growth process as a manager based on data gathered from the sales experiences and careers of fashion brand managers. The study participants were seven managers with over 15 years of sales experience in a women's clothing brand in Gwangju. Data were collected through in-depth interviews from January 2018 to September 2018 and analyzed using open coding, axis coding, and selective coding according to Strauss and Corbin's grounded theory method. The study results are as follows. First, this study found six categories and 17 sub-categories based on the shop manager's sales experiences and careers. Second, we found the central job category as well as categories with causality, interaction, moderating and outcome relationships. Third, we developed a paradigm model that links the main phenomena, causal conditions, contextual conditions, intervening conditions, action/interaction strategies, and consequence categories. Fourth, the process of growing as a fashion brand manager was described by an integrated story.