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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korean Operations Research and Management Science Society
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Journal DOI :
The Korean Operations and Management Science Society
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Volume & Issues
Volume 37, Issue 4 - Dec 2012
Volume 37, Issue 3 - Sep 2012
Volume 37, Issue 2 - Jun 2012
Volume 37, Issue 1 - Mar 2012
Selecting the target year
An Empirical Evaluation of Continuous Transaction Intents Using Categorial Regression in the Banking Industry
Ha, Hong-Youl ;
Journal of the Korean Operations Research and Management Science Society, volume 37, issue 3, 2012, Pages 1~12
DOI : 10.7737/JKORMS.2012.37.3.001
The research mainstream has focused on improving the competitiveness throughout the reinforcement of customer satisfaction and loyalty in the banking industry, but there is still a lack of research that reflects characteristics of banking services. From a customer point of view, this study considers a variety of bank characteristics such as levels of interest rate, numbers of transaction banks, monthly average balance, and age. In line with this observation, the main objective of the current research is to investigate the relationship between bank characteristics and ongoing transaction intentions with a particular bank using a categorial regression analysis and in turn, provide insights for managers. First, the findings show that deposit interest rate is insignificant for leading customers to ongoing transaction intentions, but loan interest rate is significant when customers are satisfied with a loan interest rate. Second, if customers only transact their banking services with a particular bank, they are more likely to deal with the bank, rather than customers who transact additional one or two banks. Third, in the case of monthly average balance, customers who have more than \100 million wons per month are likely to switch other competitors. Finally, old customers are more stable than young customers when they consider to switch the relationship with a bank. The author provides insights for bank managers and discusses research limitations and further directions of the study.
Note : Proof of the Conjecture on the Consistent Advantage of the Newsvendor Model under Progressive Multiple Discounts
Won, You-Kyung ;
Journal of the Korean Operations Research and Management Science Society, volume 37, issue 3, 2012, Pages 13~21
DOI : 10.7737/JKORMS.2012.37.3.013
In this note, a recent work in Won (2011) which investigates properties of the newsvendor model under progressive multiple discounts is revisited and a complete proof is provided for the conjecture on the consistent advantage of progressive multiple discounts over no-discounts in terms of the expected profit. The proof considers the generalized newsvendor model under progressive multiple discounts extended with positive shortage cost and salvage value which have not been considered in the previous newsvendor models under progressive multiple discounts. Without relying on derivatives, we prove that the expected profit under progressive multiple discounts are consistently greater than or equal to the one under no-discounts for every order quantity as far as her multiple discounts do not decrease customer demand, and therefore, the optimal expected profit under progressive multiple discounts is always greater than or equal to the one under no-discounts. As by-products from the proof, some interesting features of the generalized newsvendor model under progressive multiple discounts are revealed.
A Diagnosis and Assessment Methodology for Enterprise CRM Strategy
Kim, Hyung-Su ; Jeong, Han-Geun ;
Journal of the Korean Operations Research and Management Science Society, volume 37, issue 3, 2012, Pages 23~37
DOI : 10.7737/JKORMS.2012.37.3.023
As Customer Relationship Management (CRM) strategy is becoming a core competence more recently, many companies want a reliable CRM assessment system which enables measuring and diagnosing corporate customer strategies for building an optimized CRM strategy. However, there has been short of researches on developing the CRM diagnosis methodology that is directly applicable to real practices. Drawing upon the theoretical framework of CRM scorecard, we developed and suggested a corporate CRM diagnosis methodology that can systematically understand and assess the corporate CRM capability and performance, guiding their future directions. Companies can search the important but weak areas among various CRM strategy subjects through the proposed diagnostic procedures. This framework has a hierarchical structure that has four evaluative domains each of which has several evaluative subjects consisting of many evaluative themes: the score of upper factor is the weighted average of its subordinate factor scores. And the score of each evaluative theme is the weighted average of quantitative and qualitative evaluative indexes. Quantitative indexes are calculated by analyzing customer and sales data and qualitative ones are derived from survey data. Each evaluative index has more than one measure and its score can be derived from its own formula consisting of the measures. To prove the concept, we applied this framework to a real company and concluded that it might be appropriate to understand the corporate CRM strategy situation, find the pain points, and resolve them for better CRM implementation.
An Endosymbiotic Evolutionary Algorithm for Balancing and Sequencing in Mixed-Model Two-Sided Assembly Lines
Jo, Jun-Young ; Kim, Yeo-Keun ;
Journal of the Korean Operations Research and Management Science Society, volume 37, issue 3, 2012, Pages 39~55
DOI : 10.7737/JKORMS.2012.37.3.039
This paper presents an endosymbiotic evolutionary algorithm (EEA) to solve both problems of line balancing and model sequencing in a mixed-model two-sided assembly line (MMtAL) simultaneously. It is important to have a proper balancing and model sequencing for an efficient operation of MMtAL. EEA imitates the natural evolution process of endosymbionts, which is an extension of existing symbiotic evolutionary algorithms. It provides a proper balance between parallel search with the separated individuals representing partial solutions and integrated search with endosymbionts representing entire solutions. The strategy of localized coevolution and the concept of steady-state genetic algorithms are used to improve the search efficiency. The experimental results reveal that EEA is better than two compared symbiotic evolutionary algorithms as well as a traditional genetic algorithm in solution quality.
A Study on the Adoption Behavior of B2C Public Cloud Service in Korea
Roh, Doo-Hwan ; Chang, Suk-Gwon ;
Journal of the Korean Operations Research and Management Science Society, volume 37, issue 3, 2012, Pages 57~68
DOI : 10.7737/JKORMS.2012.37.3.057
The recent proliferation of various smart devices like the smartphone, tablet PC, and smart TV enables consumers to download various applications from the network and to access private files stored in their desktop server at any time and at any place. The trend of ubiquitous access seems to have become stronger and more diversified toward a ubiquitous network computing environment with the aggressive deployment of commercial cloud services. Recently, many Korean network service providers launched commercial B2C public cloud services, which were widely adopted by smart device users. They include Daum cloud, N drive, ucloud, and uplus box, mostly provided by major Korean telecom companies and portals. This paper aims to explore consumers' adoption behaviors toward the B2C public cloud services that were recently deployed in the Korean market. In order to achieve the goal, we identified key influencing factors that affect the consumers' adoption behaviors, based on an extension of the technology acceptance model (TAM). Several hundred smart device users were surveyed to test the generic regression model with the extended set of TAM variables.
A Stochastic Model for Maximizing the Lifetime of Wireless Sensor Networks
Lee, Doo-Ho ; Yang, Won-Seok ;
Journal of the Korean Operations Research and Management Science Society, volume 37, issue 3, 2012, Pages 69~78
DOI : 10.7737/JKORMS.2012.37.3.069
Reduction of power consumption has been a major issue and an interesting challenge to maximize the lifetime of wireless sensor networks. We investigate the practical meaning of N-policy in queues as a power saving technique in a WSN. We consider the N-policy of a finite M/M/1 queue. We formulate the optimization problem of power consumption considering the packet loss probability. We analyze the trade-off between power consumption and the packet loss probability and demonstrate the operational characteristics of N-policy as a power saving technique in a WSN with various numerical examples.
A Firm's Environmental Determinants Impacting the Information Security Management and the Moderating Effects of Regulatory Influence
Kim, Sang-Hyun ; Kim, Geun-A ;
Journal of the Korean Operations Research and Management Science Society, volume 37, issue 3, 2012, Pages 79~94
DOI : 10.7737/JKORMS.2012.37.3.079
According to the higher dependence of contemporary firms on data digitalization and the information technology, the role and importance of Information Security Management (ISM) is getting higher. Thus, there is a need to arrange proper procedure and a series of device within the organization in order to reduce diverse security risks, which take place from the inside and the outside of firm. In other words, prior examination for reinforcing recognition of ISM, and of a systematic performance method in the refined form is important. This study investigate the key variables influencing the ISM. Thus, this study suggests firm environmental factors that include four exogenous variables, market volatility, task interdependence, perceived benefits, and coordination mechanism affecting awareness of ISM. In addition, it proposes a concept of the ISM process with awareness, development, and performance, and examines the moderating effects of regulatory influence. The research model was tested by using Structural Equation Modeling, via SmartPLS 2.0 analysis on a sample collected from 186 employees in various industries. The research results provide the evidence that supports the tested hypotheses except significance of coordination mechanism. The implications of the findings suggest a new theoretical framework of the ISM and offers important solutions for the practical application guidelines.
Analyzing the Dysfunction of Fully Shared Stock Information in a Supply Chain with Competiting Retailers
Seo, Yong-Won ;
Journal of the Korean Operations Research and Management Science Society, volume 37, issue 3, 2012, Pages 95~116
DOI : 10.7737/JKORMS.2012.37.3.095
The purpose of this paper is to show the effect of information sharing strategy on the supply chain performances. While traditional information sharing models assumed centralized stock information, recent supply chain practices often implement fully shared stock information, where real-time stock information is accessible on retailers. When retailers are competing with each other, this fully shared stock information may incur retailers' strategic order behaviors. Thus, this paper analyzes a simple two-level supply chain consisting of one warehouse and two identical competing retailers where the real time stock information is fully shared. The warehouse uses the traditional echelon stock policy. Under this environment the retailers' reorder decisions are derived using the order risk concept and the retailer competition mechanism is analyzed. Computational results show that the supply chain performace degradation in the fully shared stock information is quite significant, implying the importance of designing information sharing strategies in the supply chain design phase.
Transaction Models within a Supply Chain and Optimal Wholesale Pricing of Two Competing Suppliers
Park, Hae-Churl ; Ahn, Bong-Hyun ;
Journal of the Korean Operations Research and Management Science Society, volume 37, issue 3, 2012, Pages 117~134
DOI : 10.7737/JKORMS.2012.37.3.117
We analyze a systematic relationship between transaction mechanisms and wholesale pricing schemes within a supply-chain with two competing suppliers and a monopolistic retailor. When one of the suppliers changes its transaction mechanism from an independent scheme to a cooperative one, then the wholesale prices of the suppliers become cheaper than before. When one supplier changes its transaction scheme to a cooperative one while the other supplier sticks to the existing independent transaction scheme, we show that the supplier with a cooperative transaction scheme can realize the increased profit via a profit sharing contract with the retailer but the supplier with independent transaction scheme can face the decreased profit. We also show that both suppliers can achieve the higher profits by adopting the cooperative schemes with the retailer.
The Evaluation of Long-Term Generation Portfolio Considering Uncertainty
Chung, Jae-Woo ; Min, Dai-Ki ;
Journal of the Korean Operations Research and Management Science Society, volume 37, issue 3, 2012, Pages 135~150
DOI : 10.7737/JKORMS.2012.37.3.135
This paper presents a portfolio model for a long-term power generation mix problem. The proposed portfolio model evaluates generation mix by considering the tradeoffs between the expected cost for power generation and its variability. Unlike conventional portfolio models measuring variance, we introduce Conditional Value-at-Risk (CVaR) in designing the variability with aims to considering events that are enormously expensive but are rare such as nuclear power plant accidents. Further, we consider uncertainties associated with future electricity demand, fuel prices and their correlations, and capital costs for power plant investments. To obtain an objective generation by each energy source, we employ the sample average approximation method that approximates the stochastic objective function by taking the average of large sample values so that provides asymptotic convergence of optimal solutions. In addition, the method includes Monte Carlo simulation techniques in generating random samples from multivariate distributions. Applications of the proposed model and method are demonstrated through a case study of an electricity industry with nuclear, coal, oil (OCGT), and LNG (CCGT) in South Korea.