Youngsik Kwak

OpenTide China’s Pricing Decision-Making Support System 2.0 for Digital Industry in China

The purpose of this research is to develop a comprehensive pricing decision-making support system that marketers in digital industry can use to set price level and quantity for digital products including mobile phone, TV, computer, mp3 and monitor. The OpenTide Pricing Decision-making Support System (OTC’s PDSS) consists of the price response function for each product, the promotion response function, the cost function, mixture modeling, Kane’s regency modeling and Brian’s competitive algorithm. Then we have applied the OTC’s PDSS to the digital industry and yielded the profit maximization price point, revenue maximization price point, and their quantity level for each product category.

Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks

In this paper, a new data centric storage that is dynamically adapted to the work load changes is proposed. The proposed data centric storage distributes the load of hot spot areas to neighboring sensor nodes by using a multilevel grid technique. The proposed method is also able to use existing routing protocols such as GPSR (Greedy Perimeter Stateless Routing) with small changes. Through simulation, the proposed method enhances the lifetime of sensor networks over one of the state-of-the-art data centric storages. We implement the proposed method based on an operating system for sensor networks, and evaluate the performance through running based on a simulation tool.

The Development of Dynamic Brand Equity Chase Model and Its Application to Digital Industry Based on Scanner Data

The purpose of this research is to develop a comprehensive modeling for measuring dynamics of brand power. We define brand power as brand specific coefficients to yield the sales volume for each period. The modeling consists of multinomal logit model for each product category, the brand-specific coefficients, mixture modeling and fuzzy clustering algorithm. We apply our modeling to TV scanner data in Tianjin China. The results show 5 brands have 12 to 23 times change on their brand power in a year. The lasting time of brand power spreads from 1 week to 12 weeks.

The Influence of Wine Expert’s On-Line Ratings on Retail Price of On-Premise Market in Korea

Quality of wines can be evaluated in 4 different ways; 1) Subjective evaluation by experts, 2) Subjective evaluation by consumers, 3) Objective evaluation by rating agencies on a regular basis, and 4) Objective evaluation by rating agencies on a temporary basis. The purpose of this study is to explore the influence of subjective evaluation on quality of wines by wine experts on retail prices in Korean wine market. This study focused on empirically the influence of ’Robert Parker Scores’ which are revealed on a website owned by Robert Parker Jr., known as the most influential wine critic in the world on retail prices of 1,039 wines produced in 3 different countries, and sold in 7 restaurants of hotels and wine bars in Korea. Furthermore, this study empirically analyzed relative importance of influences that vintage data and Parker Score affect on retail price of on-premise market.

A Study on Subcontractor Evaluation Model Using AHP for an Aircraft Manufacturer Company in Korea

Partner selection is one of the most important decision making for successful production and order processing for a given company. The purpose of this study is to develop and provide the subcontractor evaluation model for aircraft manufacturer companies in Korea. The descriptive analysis and the Analytic Hierarchy Process(AHP) analysis methods were conducted. Previous practice in Korean aviation industry focused on quantitative variables to evaluate the subcontractors. This study contributes to the extension of research criteria with managerial and qualitative aspects of aviation industry in Korea. As a result, aircraft completion companies need to be specifically designed to expertise with respect to subjective rating based on technology partners to measure the presence or absence of Certified.

The Day-of-the Week Effects for Cloud-Based Shipment Timing Support System for Stored Apples

The purpose of this study is to empirically analyze whether the wholesale price of apples sold in the Korean action-based wholesale market is statistically significantly different at the aggregate and disaggregate levels, or not. It means that the researchers in this study empirically analyzed to identify day-of-the-week effects in Korean wholesale price of apples.

3D Content Industry in Korea : Present Conditions and Future Development Strategies

The purpose of this study is to formulate a direction of development for acquisition of global competitiveness by understanding the status of Korea’s 3D content industry and to diagnose problems. For this, the study has collected and analyzed literature related to 3D content industry and grafted them onto Porter’s Diamond model. As a result, the study has suggested key success factors such as the fostering of professional 3D personnel from a long term perspective, networking of industry and academia, consolidating skilled technology able to lead 3D project, acquiring government support for reducing high investment risk, etc. Also, the study has revealed a necessity for the government, businesses, and schools to formulate an integrated developmental strategy by cooperating with each other to solve such issues.

From Trading Volume to Trading Number-Based Pricing at Home Trading System on Korean Stock Market

The new n-block tariff can outperforms, in terms of profit, two-part tariff, all unit discount price schedule, and uniform pricing for a given service and product. This research objectives are to develop new pricing unit and to determine the optimal price break points for n-block tariff on the new pricing unit. Although the merits of developing new pricing unit and non-linear pricing are well documented, the attempt to practice the new pricing unit development and non-linear pricing in online market has been relatively rare. The researchers found that transaction log file analysis using mixture model can be the feasible methodology for developing the new pricing unit and determining the optimal break points number of n-block tariff. The researchers empirically demonstrate the feasibility and the superiority of the mixture model by applying it to the log file on Home Trading System (HTS) for futures and option transaction at a stock company in Korea. The empirical results showed that the stock company had an opportunity to set new pricing unit from trading volume-based pricing to trading number-based pricing a given time horizon.

The Development of Software Pricing Schemata and Its Application to Software Industry in Korea

The purpose of this this research is to suggest a comprehensive pricing schemata that software developers can use in the integrated state of software uses. To do so, we have reviewed the pricing criteria that the current fields of business administration treat and offered the basis of pricing systems. Then we have applied the prices of software products in Korea to the systems and earned abundant price payment units.

Application Service Program (ASP) Price Elasticities for Korean Home Trading System

Although the price elasticities for off-line industry are well documented in academic field, the report of price elasticities for on-line to a given brand or industry in practice have been relatively rare. The researcher aims to try to full this gap by applying a price response function to Home Trading System’s on-line transaction data for the first time in Korean securities market. The different price elasticities among seven brands were found from -0.819 to -1.811. These results suggested that marketers should understand the price elasticity of their own HTS, before making a price decision.