Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Korean Management Science Review
Journal Basic Information
Journal DOI :
The Korean Operations and Management Science Society
Editor in Chief :
Volume & Issues
Volume 21, Issue 3 - Nov 2004
Volume 21, Issue 2 - Nov 2004
Volume 21, Issue 1 - May 2004
Selecting the target year
Versioning Digital Products
Yoo Keuk Ryoul ;
Korean Management Science Review, volume 21, issue 3, 2004, Pages 1~12
The paper demonstrates that versioning of digital products occurs more frequently than that of physical products because of low marginal cost. The versioning occurs no matter what a customer knows his/her reservation price. Low-quality version will not be produced when the difference between reservation prices is very large. The paper also shows that a firm tries to lower the quality of low-quality product to prevent customers with high reservation prices from purchasing low-quality product.
An Analysis of Delivery Service in Electronic Commerce
Song Jae-do ; Chun Se-hak ; Joo Ji-ho ; Kim Jae-cheol ;
Korean Management Science Review, volume 21, issue 3, 2004, Pages 13~22
We discuss that the proliferation of new types of retailers such as Internet shopping malls. home shopping systems, which use telecommunication media as means of providing information of products. makes delivery service generally available. Then. we show that the delivery service can be used strategically for profit maximization by intentionally homogenizing consumers and. furthermore, social welfare generally increases by this delivery service unless the cost of delivery service is higher than that of all consumer groups.
A Multi-Agent Approach to Context-Aware Optimization for Personalized Mobile Web Service
Kwon Oh-byung ; Lee Ju-chul ;
Korean Management Science Review, volume 21, issue 3, 2004, Pages 23~38
Recently the usage of mobile devices which enable the accessibility to Internet has been dramatically increased. Most of the mobile services, however, so far tend to be simple such as infotainment service. In order to fully taking advantage of wireless network and corresponding technology, personalized web service based on user's context could be needed. Meanwhile, optimization techniques have been vitally incorporated for optimizing the development and administration of electronic commerce. However, applying context-aware optimization mechanism to personalized mobile services is still very few. Hence, the purpose of this paper is to propose a methodology to incorporate optimization techniques into personalization services. Multi agent-based web service approach is considered to realize the methodology. To show the feasibility of the methodology proposed in this paper, a prototype system, CAMA-myOPt(Context-Aware Multi-Agent system for my Optimization), was implemented and adopted in mobile comparative shopping.
Intelligent Agent-based Travel Planning Recommendation System in Peak Seasons
Yim Hong Soon ; Ahn Hyung Jun ; Kim Jong Woo ; Park Sung Joo ;
Korean Management Science Review, volume 21, issue 3, 2004, Pages 39~54
This paper presents a multi-agent system for intelligent recommendation of travel plans to users. The goal of the system is to provide alternative and preferable travel plans to users when the availability of tickets is low such as in vacations, holidays, weekends, or peak seasons. The multiple agents in the system search for available alternatives for a target travel in collaboration with other agents and recommend best alternatives by analyzing them using a multi-criteria decision-making model. A prototype online travel support system was constructed and a simulation experiment was performed for evaluation and comparison with different travel planning strategies.
Analyzing Customer Purchase Behavior of a Department Store and Applying Customer Relationship Management Strategies
Ha Sung Ho ; Baek Kyung Hoon ;
Korean Management Science Review, volume 21, issue 3, 2004, Pages 55~69
This study analyzes customer buying-behavior patterns in a department store as time goes on, and predicts moving patterns of its customers. Through them, it suggests in this paper short-term and long-term marketing promotion strategies. RFM techniques are utilized for customer segmentation. Customers are clustered by using the Kohonen's Self Organizing Map as a method of data mining techniques. Then C5.0, a decision tree analysis technique, is used to predict moving patterns of customers. Using real world data, this study evaluates the prediction accuracy of predictive models.
Study on the Integration of Revenue Management Systems and Computer Reservation Systems for Airline e-business : the case of K-Airline
Lee Hwi-Young ; Yoon Duk Young ; Yoon Moon-Gil ;
Korean Management Science Review, volume 21, issue 3, 2004, Pages 71~84
CRS, which was initially developed to support airline reservation is now the main part of e-business of airlines, and it decides the degree of prompt and accurate itinerary for travelers due to the remarkable difference in availability inquiry and seats reservation information according to CRS joining level CRS joining level also decides the exactness of reservation, ticketing and traffic data collection and plays the most important role in the exactness of advanced forecast of demand, appropriate seats allocation, and overbooking. Therefore, it provides front end function like seats reservation, schedule display, fare inquiry on-line linked with CRS and back office function like sales result of travel agents, accounting administration. stock administration and customer administration and decides the level of an airline's e-business.
A Defection Prevention Procedure using SOM for On-line Game Providers
Kim Jae-kyeong ; Chae Kyung-hee ; Song Hee-seok ;
Korean Management Science Review, volume 21, issue 3, 2004, Pages 85~99
The retention of customer is an increasingly pressing issue in today's competitive environment. The proposes of this paper is a personalized defection detection and the procedure of prevention based on economic analysis of customer defection possibility, and behaviour state transition cost. This procedure is based on the observation that potential defectors have a tendency to take a couple of months or weeks to gradually change their behaviour before their eventual withdrawal. In this procedure, the SOM(Self-Organizing Map) is used to determine the possible states of customer behaviour from past behaviour data, and to prevent the defection of potential defectors, the proposed procedure recommends the desirable behaviour state for the next period based on the analysis of transition cost. and likelihood of defection. The case study has been conducted for a Korean on-line game provider to evaluate of this procedure.
Applications of Data Mining Techniques to Operations Planning for Real Time Order Confirmation
Han Hyun-Soo ; Oh Dong-Ha ;
Korean Management Science Review, volume 21, issue 3, 2004, Pages 101~113
In the rapidly propagating Internet based electronic transaction environment. the importance of real time order confirmation has been more emphasized, In this paper, using data mining techniques, we develop intelligent operations decision model to allow real time order confirmation at the time the customer places an order with required delivery terms. Among various operation plannings used for order fulfillment. mill routing is the first interface decision point to link the order receiving at the marketing with the production planning for order fulfillment. Though linear programming based mathematical optimization techniques are mostly used for mill routing problems, some early orders should wait until sufficient orders are gathered for optimization. And that could effect longer order fulfillment lead-time, and prevent instant order confirmation of delivery terms. To cope with this problem, we provide the intelligent decision model to allow instant order based mill routing decisions. Data mining techniques of decision trees and neural networks. which are more popular in marketing and financial applications, are used to develop the model. Through diverse computational trials with the industrial data from the steel company. we have reported that the performance of the proposed approach is effective compared to the present heuristic only mill routing results. Various issues of data mining techniques application to the mill routing problems having linear programming characteristics are also discussed.
Integrating GIS, GPS, and Optimization Technologies for Pick-up/Delivery Service
Jung Hoon ; Lim Seung-Kil ;
Korean Management Science Review, volume 21, issue 3, 2004, Pages 115~127
In this paper, we describe an intelligent monitoring and control system for pick-up/delivery service. This system applies geographical information system(GIS), global positioning system(GPS) and wireless communication technologies for managing pick-up/delivery operations more effectively. It consists of three subsystems, pick-up/delivery sequence planning system, pick-up/delivery monitoring system, and PDA execution system. Pick-up/delivery sequence planning system generates routes and schedules for pick-up/delivery using GIS and optimization techniques. Pick-up/delivery monitoring system monitors current positions of vehicles and actual pick-up/delivery results as compared with planned routes and visit times, while PDA execution system transmits information for vehicles positions and actual pick-up/delivery results using GPS and wireless communication technologies. The intelligent monitoring and control system is currently being used for the pick-up parcel service in a local post office of Korea Post.
A Study of IT Environment Scenario through the Application of Cross Impact Analysis
Kim Jin-han ; Kim Sung-hong ;
Korean Management Science Review, volume 21, issue 3, 2004, Pages 129~147
Scenario analysis for strategic planning, unlike most forecasting methods, provides a qualitative, contextual description of how the present will evolve into the future. It normally tries to identify a set of possible futures, each of whose occurrence is plausible but not assured. In this paper, we propose the use of Cross Impact Analysis(CIA) approach for scenario generation about the future of Korean IT environments. In this analysis, we classified IT environments into technical, social, legislative, and economic factor. And various variables and events were defined in each factor. From the survey collected from IT related experts, we acquire probability of occurrence and compatibility estimates of every possible pairs of events as input. Then 2 phase analysis is used in order to choice events with high probability of occurrence and generate scenario. Finally, after CIA using Monte Carlo simulation, a detail scenario for 2010 was developed. These scenario drawn from the CIA approach is a result considered by cross impacts of various events.